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Stanford CoreNLP API
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A

AbbrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbbrAnnotation
 
AbbreviationMap(boolean) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.AbbreviationMap
Creates a new instance of AbreviationMap with some know abbreviations
AbgeneAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbgeneAnnotation
 
about() - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
 
aboveLineSkip - Static variable in class edu.stanford.nlp.parser.ui.TreeJPanel
 
absoluteDifference(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns |c1 - c2|.
absolutelyDiscountedDistribution(Counter<E>, int, double) - Static method in class edu.stanford.nlp.stats.Distribution
 
AbstractCachingDiffFloatFunction - Class in edu.stanford.nlp.optimization
 
AbstractCachingDiffFloatFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
AbstractCachingDiffFunction - Class in edu.stanford.nlp.optimization
A differentiable function that caches the last evaluation of its value and derivative.
AbstractCachingDiffFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
AbstractCollinsHeadFinder - Class in edu.stanford.nlp.trees
A base class for a HeadFinder similar to the one described in Michael Collins' 1999 thesis.
AbstractCollinsHeadFinder(TreebankLanguagePack, String...) - Constructor for class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Construct a HeadFinder.
AbstractCoreLabel - Interface in edu.stanford.nlp.ling
 
AbstractCounter<E> - Class in edu.stanford.nlp.stats
Default implementations of all the convenience methods provided by Counter.
AbstractCounter() - Constructor for class edu.stanford.nlp.stats.AbstractCounter
 
AbstractDependencyGrammar - Class in edu.stanford.nlp.parser.lexparser
An abstract base class for dependency grammars.
AbstractDependencyGrammar(TreebankLanguagePack, TagProjection, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
AbstractEval - Class in edu.stanford.nlp.parser.metrics
A framework for Set-based precision/recall/F1 evaluation.
AbstractEval() - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
 
AbstractEval(boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
 
AbstractEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
 
AbstractEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
 
AbstractEval.CatErrorEval - Class in edu.stanford.nlp.parser.metrics
This class counts which categories are over and underproposed in trees.
AbstractEval.RuleErrorEval - Class in edu.stanford.nlp.parser.metrics
 
AbstractEval.ScoreEval - Class in edu.stanford.nlp.parser.metrics
This isn't really a kind of AbstractEval: we're sort of cheating here.
AbstractIterator<E> - Class in edu.stanford.nlp.util
Iterator with remove() defined to throw an UnsupportedOperationException.
AbstractIterator() - Constructor for class edu.stanford.nlp.util.AbstractIterator
 
AbstractLinearClassifierFactory<L,F> - Class in edu.stanford.nlp.classify
Shared methods for training a LinearClassifier.
AbstractLinearClassifierFactory() - Constructor for class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
 
AbstractListProcessor<IN,OUT,L,F> - Class in edu.stanford.nlp.process
Class AbstractListProcessor
AbstractListProcessor() - Constructor for class edu.stanford.nlp.process.AbstractListProcessor
 
AbstractMatchCostFunction() - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.MatchCostFunction.AbstractMatchCostFunction
 
AbstractSequenceClassifier<IN extends CoreMap> - Class in edu.stanford.nlp.ie
This class provides common functionality for (probabilistic) sequence models.
AbstractSequenceClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.AbstractSequenceClassifier
Construct a SeqClassifierFlags object based on the passed in properties, and then call the other constructor.
AbstractSequenceClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.AbstractSequenceClassifier
Initialize the featureFactory and other variables based on the passed in flags.
AbstractStochasticCachingDiffFunction - Class in edu.stanford.nlp.optimization
 
AbstractStochasticCachingDiffFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
AbstractStochasticCachingDiffFunction.SamplingMethod - Enum in edu.stanford.nlp.optimization
 
AbstractStochasticCachingDiffUpdateFunction - Class in edu.stanford.nlp.optimization
Function for stochastic calculations that does update in place (instead of maintaining and returning the derivative).
AbstractStochasticCachingDiffUpdateFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
 
AbstractStringAnnotationPattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.AbstractStringAnnotationPattern
 
AbstractTokenizer<T> - Class in edu.stanford.nlp.process
An abstract tokenizer.
AbstractTokenizer() - Constructor for class edu.stanford.nlp.process.AbstractTokenizer
 
AbstractTreebankLanguagePack - Class in edu.stanford.nlp.trees
This provides an implementation of parts of the TreebankLanguagePack API to reduce the load on fresh implementations.
AbstractTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Gives a handle to the TreebankLanguagePack.
AbstractTreebankLanguagePack(char) - Constructor for class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Gives a handle to the TreebankLanguagePack.
AbstractTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
An abstract class providing a common method base from which to complete a TreebankLangParserParams implementing class.
AbstractTreebankParserParams(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Stores the passed-in TreebankLanguagePack and sets up charset encodings.
AbstractTreebankParserParams.AnnotatePunctuationFunction - Class in edu.stanford.nlp.parser.lexparser
Annotation function for mapping punctuation to PTB-style equivalence classes.
AbstractTreebankParserParams.RemoveGFSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
The job of this class is to remove subcategorizations from tag and category nodes, so as to put a tree in a suitable state for evaluation.
AbstractTreebankParserParams.SubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
The job of this class is to remove subcategorizations from tag and category nodes, so as to put a tree in a suitable state for evaluation.
AbstractTreeExtractor<T> - Class in edu.stanford.nlp.parser.lexparser
An abstract superclass for parser classes that extract counts from Trees.
AbstractTreeExtractor(Options) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
AbstractUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
 
AbstractUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer
 
AbstrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbstrAnnotation
 
accept(File) - Method in class edu.stanford.nlp.io.ExtensionFileFilter
Checks whether a file satisfies the selection filter.
ACCEPT - Static variable in interface edu.stanford.nlp.io.Lexer
 
accept(File) - Method in class edu.stanford.nlp.io.NumberRangeFileFilter
Checks whether a file satisfies the number range selection filter.
accept(File) - Method in class edu.stanford.nlp.io.NumberRangesFileFilter
Checks whether a file satisfies the number range selection filter.
accept(String) - Method in class edu.stanford.nlp.io.NumberRangesFileFilter
Checks whether a String satisfies the number range selection filter.
accept(File) - Method in class edu.stanford.nlp.io.RegExFileFilter
Checks whether a file satisfies the selection filter.
acceptFilter() - Static method in class edu.stanford.nlp.util.Filters
The acceptFilter accepts everything.
accepting - Variable in class edu.stanford.nlp.fsm.DFSAState
 
accuracy() - Method in class edu.stanford.nlp.classify.PRCurve
 
AccuracyStats<L> - Class in edu.stanford.nlp.stats
Utility class for aggregating counts of true positives, false positives, and false negatives and computing precision/recall/F1 stats.
AccuracyStats(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>, L) - Constructor for class edu.stanford.nlp.stats.AccuracyStats
 
AccuracyStats(L, String) - Constructor for class edu.stanford.nlp.stats.AccuracyStats
 
ACE2004_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
ACE2005_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
AceCharSeq - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
Implements the ACE construct
AceCharSeq(String, int, int) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
Token that incorporates this whole char sequence, e.g.
AceDocument - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
Stores the ACE elements annotated in this document
AceDocument(String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
AceDomReader - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
DOM reader for an ACE specification.
AceDomReader() - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDomReader
 
AceElement - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
 
AceElement(String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceElement
 
AceEntity - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
Implements the ACE construct
AceEntity(String, String, String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
 
AceEntityMention - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
Implements the ACE construct
AceEntityMention(String, String, String, AceCharSeq, AceCharSeq) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
AceEvent - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
Stores one ACE event
AceEvent(String, String, String, String, String, String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
AceEventMention - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
Stores one ACE event mention
AceEventMention(String, AceCharSeq, AceCharSeq) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
 
AceEventMentionArgument - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
 
AceEventMentionArgument(String, AceEntityMention) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMentionArgument
 
AceMention - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
 
AceMention(String, AceCharSeq) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMention
 
AceMentionArgument - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
 
AceMentionArgument(String, AceEntityMention, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMentionArgument
 
ACEMentionExtractor - Class in edu.stanford.nlp.dcoref
Extracts <COREF> mentions from a file annotated in ACE format (ACE2004, ACE2005).
ACEMentionExtractor(Dictionaries, Properties, Semantics) - Constructor for class edu.stanford.nlp.dcoref.ACEMentionExtractor
 
ACEMentionExtractor(Dictionaries, Properties, Semantics, LogisticClassifier<String, String>) - Constructor for class edu.stanford.nlp.dcoref.ACEMentionExtractor
 
AceReader - Class in edu.stanford.nlp.ie.machinereading.domains.ace
Simple wrapper of Mihai's ACE code to ie.machinereading.structure objects.
AceReader() - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.AceReader
Make an AceReader.
AceReader(StanfordCoreNLP, boolean) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.AceReader
 
AceReader(StanfordCoreNLP, boolean, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.AceReader
 
AceRelation - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
Stores one ACE relation
AceRelation(String, String, String, String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
 
AceRelationMention - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
Stores one ACE relation mention
AceRelationMention(String, AceCharSeq, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
 
AceRelationMentionArgument - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
 
AceRelationMentionArgument(String, AceEntityMention) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMentionArgument
 
AceSentenceSegmenter - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
 
AceSentenceSegmenter() - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceSentenceSegmenter
 
AceToken - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
 
AceToken(String, String, String, String, String, String, String, int) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
Constructs an AceToken from a tokenized line generated by Tokey
acos(double) - Static method in class edu.stanford.nlp.math.SloppyMath
Compute acos very quickly by directly looking up the value.
ACRONYM - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
acronymCache - Variable in class edu.stanford.nlp.dcoref.Document
 
Action(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
actionPerformed(ActionEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
 
actionPerformed(ActionEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
 
actionPerformed(ActionEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI.TransferActionListener
 
activate(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
active - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
 
activeFeatures - Variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
adaAlpha - Variable in class edu.stanford.nlp.parser.nndep.Config
Initial global learning rate for AdaGrad training
adaDeltaRho - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
adaEps - Variable in class edu.stanford.nlp.parser.nndep.Config
An epsilon value added to the denominator of the AdaGrad expression for numerical stability
adaGradEps - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
adagradResetFrequency - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
How many epochs between resets of the adagrad learning rates.
adapt(String, Dataset<String, String>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
adapt(ObjectBank<List<IN>>, Dataset<String, String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
adapt() - Static method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor
 
AdaptedGaussianPriorObjectiveFunction<L,F> - Class in edu.stanford.nlp.classify
Adapt the mean of the Gaussian Prior by shifting the mean to the previously trained weights
AdaptedGaussianPriorObjectiveFunction(GeneralDataset<L, F>, LogPrior, double[][]) - Constructor for class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
 
adaptFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
NER adaptation (Gaussian prior) parameters.
adaptSigma - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
adaptWeights(Dataset<L, F>, LinearClassifierFactory<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
adaptWeights(double[][], GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Adapt classifier (adjust the mean of Gaussian prior).
add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.Dataset
 
add(Collection<F>, L) - Method in class edu.stanford.nlp.classify.Dataset
 
add(Collection<F>, L, boolean) - Method in class edu.stanford.nlp.classify.Dataset
 
add(int[], int) - Method in class edu.stanford.nlp.classify.Dataset
Adds a datums defined by feature indices and label index Careful with this one! Make sure that all indices are valid!
add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
 
add(Datum<L, F>, String, String) - Method in class edu.stanford.nlp.classify.RVFDataset
 
add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.WeightedDataset
 
add(Collection<F>, L) - Method in class edu.stanford.nlp.classify.WeightedDataset
 
add(Datum<L, F>, float) - Method in class edu.stanford.nlp.classify.WeightedDataset
 
add(Collection<F>, L, float) - Method in class edu.stanford.nlp.classify.WeightedDataset
 
add(V, V, E) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
adds vertices (if not already in the graph) and the edge between them
add(V, V, E) - Method in interface edu.stanford.nlp.graph.Graph
Adds vertices (if not already in the graph) and the edge between them.
add(Class, NodePattern) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
add(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
 
add(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
 
add(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
add(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
add(Experiments) - Method in class edu.stanford.nlp.maxent.Experiments
 
add(Feature) - Method in class edu.stanford.nlp.maxent.Features
 
add(Feature) - Method in class edu.stanford.nlp.maxent.Problem
 
add(E) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Unsupported Operation.
add(Object) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
Adds an Object to the underlying Collection of input sources.
add(double, double[], double[], int, double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
add(Map<String, List<CoreLabel>>, boolean) - Method in class edu.stanford.nlp.patterns.surface.InvertedIndexByTokens
 
add(List<CoreLabel>, String, boolean) - Method in class edu.stanford.nlp.patterns.surface.InvertedIndexByTokens
 
add(Map<String, List<CoreLabel>>, boolean) - Method in class edu.stanford.nlp.patterns.surface.SentenceIndex
addProcessedText is true when inserting sentences for the first time
add(List<CoreLabel>, String, boolean) - Method in class edu.stanford.nlp.patterns.surface.SentenceIndex
 
add(List<IN>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
add(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
For all keys (u,v) in arg1 and arg2, sets return[u,v] to be summation of both
add(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
add(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
add(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
increments every key in the counter by value
add(FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
Adds a FeatureKey to the set of known FeatureKeys.
add(int, History, int) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
add(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
 
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
 
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.DurationRange
 
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
 
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
 
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
 
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
 
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.OrdinalTime
 
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Range
 
add(SUTime.Duration, int) - Method in class edu.stanford.nlp.time.SUTime.Range
 
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.RefTime
 
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
 
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.SimpleTime
 
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Time
 
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
 
add(int, Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
add(Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
add(E) - Method in class edu.stanford.nlp.util.ArrayHeap
Adds an object to the heap.
add(E) - Method in class edu.stanford.nlp.util.ArraySet
Adds element to set.
add(T) - Method in class edu.stanford.nlp.util.Beam
 
add(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Adds an object to the queue with the minimum priority (Double.NEGATIVE_INFINITY).
add(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Convenience method for if you want to pretend relaxPriority doesn't exist, or if you really want to use the return conditions of add().
add(K, V) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Adds the value to the Collection mapped to by the key.
add(E) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
add(U, U) - Method in class edu.stanford.nlp.util.ConfusionMatrix
Increments the entry for this guess and gold by 1.
add(U, U, int) - Method in class edu.stanford.nlp.util.ConfusionMatrix
Increments the entry for this guess and gold by the given increment amount.
add(K, V) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
add(E) - Method in class edu.stanford.nlp.util.DeltaIndex
 
add(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Adds a key to the queue with the given priority.
add(E) - Method in class edu.stanford.nlp.util.HashIndex
Adds an object to the Index.
add(E) - Method in interface edu.stanford.nlp.util.Heap
Adds the object to the heap.
add(E) - Method in class edu.stanford.nlp.util.IdentityHashSet
Adds the specified element to this set if it is not already present.
add(E) - Method in interface edu.stanford.nlp.util.Index
 
add(T) - Method in class edu.stanford.nlp.util.IntervalTree
 
add(IntervalTree.TreeNode<E, T>, T) - Method in class edu.stanford.nlp.util.IntervalTree
 
add(IntervalTree.TreeNode<E, T>, T, double) - Method in class edu.stanford.nlp.util.IntervalTree
 
add(int) - Method in class edu.stanford.nlp.util.IntUni
 
add(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue
Convenience method for if you want to pretend relaxPriority doesn't exist, or if you really want to use the return conditions of add().
add(K1, K2, V) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
Adds the value to the Collection mapped to by the key.
add(K1, K2, Collection<V>) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
Adds a collection of values to the Collection mapped to by the key.
add(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
 
ADD_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
addAll(Iterable<? extends Datum<L, F>>) - Method in class edu.stanford.nlp.classify.GeneralDataset
Adds all Datums in the given collection of data to this dataset
addAll(Collection<? extends String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
 
addAll(List<Expression>) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
 
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Unsupported Operation.
addAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
Adds all Objects in Collection c to the underlying Collection of input sources.
addAll(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Not yet implemented.
addAll(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Not yet implemented.
addAll(Collection<? extends List<IN>>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
addAll(Counter<E>) - Method in class edu.stanford.nlp.stats.AbstractCounter
Adds the counts in the given Counter to the counts in this Counter.
addAll(Counter<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter
Adds the counts in the given Counter to the counts in this Counter.
addAll(Counter<E>) - Method in interface edu.stanford.nlp.stats.Counter
Adds the counts in the given Counter to the counts in this Counter.
addAll(IntCounter<E>) - Method in class edu.stanford.nlp.stats.IntCounter
Adds the counts in the given Counter to the counts in this Counter.
addAll(TwoDimensionalCounterInterface<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
addAll(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
addAll(TwoDimensionalIntCounter<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
addAll(K1, IntCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
addAll(int, Collection<? extends Tree>) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
addAll(Collection<T>, Iterable<? extends T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Add all the items from an iterable to a collection.
addAll(K, Collection<V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Adds the values to the Collection mapped to by the key.
addAll(Map<K, V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Adds all of the mappings in m to this CollectionValuedMap.
addAll(CollectionValuedMap<K, V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
addAll(Map<K, V>) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
Adds all of the mappings in m to this CollectionValuedMap.
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.DeltaIndex
 
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.HashIndex
Adds every member of Collection to the Index.
addAll(Collection<? extends E>) - Method in interface edu.stanford.nlp.util.Index
 
addAll(Iterator<? extends T>, Collection<T>) - Static method in class edu.stanford.nlp.util.Iterables
Adds all of the Objects returned by the given Iterator into the given Collection.
addAll(Map<K, V1>, Map<K, V2>, Function<V2, V1>) - Static method in class edu.stanford.nlp.util.Maps
Adds all of the keys in from to to, applying function to the values to transform them from V2 to V1.
addAll(TwoDimensionalMap<? extends K1, ? extends K2, ? extends V2>, Function<V2, V>) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
Adds all of the entries in the other map, performing function on them to transform the values
addAll(TwoDimensionalSet<? extends K1, ? extends K2>) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
 
addAllInterningAndSuffixing(Collection<String>, Collection<String>, String) - Method in class edu.stanford.nlp.sequences.FeatureFactory
Makes more complete feature names out of partial feature names, by adding a suffix to the String feature name, adding results to an accumulator
addAllKeys(TwoDimensionalMap<? extends K1, ? extends K2, ?>) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
Adds all the keys in the given TwoDimensionalMap.
addAllMacros(TregexPatternCompiler, String, String) - Static method in class edu.stanford.nlp.trees.tregex.Macros
 
addAllMacros(TregexPatternCompiler, BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.Macros
 
addAnnotator(Annotator) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
 
addApposition(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
Find apposition
addArc(Object, Object, Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
addArc(TransducerGraph.Arc) - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
addArc(int, int, String) - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
addArg(AceEntityMention, String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
 
addArg(ExtractionObject, String, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
addArg(ExtractionObject) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
addArgs(List<ExtractionObject>, List<String>, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
addBelongsToList(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
 
addBiasToEmbedding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
addBinaryFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
 
addBinaryFeatures(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, FeatureFactory.FeatureComponent, String, CoreLabel, FeatureFactory.FeatureComponent, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
 
addBoundary() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
 
addCapitalFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
addChild(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
Adds the tree t at the index position among the daughters.
addChild(Tree) - Method in class edu.stanford.nlp.trees.Tree
Adds the tree t at the last index position among the daughters.
addChild(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
addChildTree(Redwood.RecordHandlerTree) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
addConstraint(ParserConstraint) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
 
addCounts(PrecisionRecallStats) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Adds the counts from the given stats to the counts of this stats.
addDependencyPathFeatures(Counter<String>, RelationMention, EntityMention, EntityMention, List<String>, List<String>, Logger) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
 
addDistsimFeatures(List<String>, CoreLabel, String) - Method in class edu.stanford.nlp.parser.shiftreduce.DistsimFeatureFactory
 
addEdge(LatticeEdge) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
 
addEdge(IndexedWord, IndexedWord, GrammaticalRelation, double, boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
addEdgeFeatures(List<String>, State, String, String, Tree, Tree) - Method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
Could potentially add the tags and words for the left and right ends of the tree.
addEdgeFeatures2(List<String>, State, String, Tree) - Method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
This option also does not seem to help
addEntity(AceEntity) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
addEntityMention(AceEntityMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
addEntityMention(CoreMap, EntityMention) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
addEntityMentions(CoreMap, Collection<EntityMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
addEvent(AceEvent) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
addEventMention(AceEventMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
addEventMention(AceEventMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
addEventMention(CoreMap, EventMention) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
addEventMentions(CoreMap, Collection<EventMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
addExample(List<Integer>, List<Integer>) - Method in class edu.stanford.nlp.parser.nndep.Dataset
 
addExtraTrigramFeatures(List<String>, CoreLabel, CoreLabel, CoreLabel, CoreLabel, CoreLabel) - Method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
Also did not seem to help
addFeature(MorphoFeatureSpecification.MorphoFeatureType, String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
 
addFeature(String) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
Enable an annotation feature.
addFeatureIndices(int[]) - Method in class edu.stanford.nlp.classify.Dataset
 
addFeatures(Collection<F>) - Method in class edu.stanford.nlp.classify.Dataset
 
addFeatures(Collection<F>, boolean) - Method in class edu.stanford.nlp.classify.Dataset
 
addFeatures(Counter<String>, RelationMention, List<String>) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
 
addFeatures(Counter<String>, RelationMention, List<String>, Logger) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
Creates all features for the datum corresponding to this relation mention Note: this assumes binary relations where both arguments are EntityMention
addFileFolder(EnumMap<TregexGUI.FilterType, String>, File[]) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
Forks off a new thread to load your files based on the filters you set in the interface
addFilter(Predicate<T>) - Method in class edu.stanford.nlp.util.Filters.ConjFilter
 
addFilter(Predicate<T>) - Method in class edu.stanford.nlp.util.Filters.DisjFilter
 
addFN(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Adds the given number to the count of false negatives.
addForce(Partial, Period, int) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
addForm(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
 
addFP(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Adds the given number to the count of false positives.
addGeneralizeClasses(Map<String, Class>) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
addGuess(String, String, boolean) - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
 
addGuess(LabeledChunkIdentifier.LabelTagType, LabeledChunkIdentifier.LabelTagType, boolean) - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
 
addGuess(L, L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
addGuess(L, L, boolean) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
addGuesses(List<L>, List<L>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
addHighlight(JTextField, MouseEvent, MouseEvent) - Static method in class edu.stanford.nlp.trees.tregex.gui.HighlightUtils
Highlight the given label from the first mouse event to the second Returns true if the highlight was successful, false otherwise.
addIncompatible(Mention, Mention) - Method in class edu.stanford.nlp.dcoref.Document
 
addIndvWordsFromPhrasesExceptLastAsNeg - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
For example, if positive seed dict contains "cancer" and "breast cancer" then "breast" is included as negative
addInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Increases the values in this array by b.
addInPlace(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Increases the values in this array by b.
addInPlace(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Sets each value of target to be target[k]+scale*arg[k] for all keys k in target.
addInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Sets each value of target to be target[k]+arg[k] for all keys k in arg.
addInPlace(double[], Counter<E>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
Sets each value of double[] target to be target[idx.indexOf(k)]+a.getCount(k) for all keys k in arg
addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters
For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + scale * arg[u,v]
addInPlace(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
For all keys (u,v) in arg, sets target[u,v] to be target[u,v] + arg[u,v]
addInPlace(Counter<E>, Collection<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Sets each value of target to be target[k]+ value*(num-of-times-it-occurs-in-collection) if the key is present in the arg collection.
addInPlace(TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters
For all keys (u,v) in target, sets target[u,v] to be target[u,v] + value
addInPlace(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
Sets each value of target to be target[k]+ num-of-times-it-occurs-in-collection if the key is present in the arg collection.
addInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Increments all keys in a Counter by a specific value.
addIntervalRelationFlags(int, boolean) - Static method in class edu.stanford.nlp.util.Interval
 
additionalSignature() - Method in class edu.stanford.nlp.pipeline.AnnotatorFactory
 
addKey(K) - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
addKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
yes, this is a weird method, but i need it.
addLabel(L) - Method in class edu.stanford.nlp.classify.Dataset
 
addLabel(LabelType) - Method in class edu.stanford.nlp.ling.BasicDatum
Adds the given Label to the List of labels for this Datum if it is not null.
addLabel(L) - Method in class edu.stanford.nlp.ling.BasicDocument
Adds the given label to the List of labels for this Document if it is not null.
addLabelDictionary(String, Set<String>) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
addLabelIndex(int) - Method in class edu.stanford.nlp.classify.Dataset
 
addListener(FileTreeNode.FileTreeNodeListener) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
 
addListener(MatchesPanel.MatchesPanelListener) - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
Become a listener to changes in the trees the matches panel is showing
addListener(ListSelectionListener) - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
Become a listener to changes in which tree is selected
addListMember(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
 
addMacro(String, String) - Method in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
Define a macro for rewriting a pattern in any tregex expression compiled by this compiler.
addMap(Map<String, Set<String>>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
Add all of the mappings from the specified map to the current map.
addMention(Mention) - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
 
addMention(AceEntityMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
 
addMention(AceEventMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
addMention(AceRelationMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
 
addMissingFinalPunctuation - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If a token list does not have sentence final punctuation near the end, then automatically add the default one.
addMod(String) - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
addMod() - Method in class edu.stanford.nlp.time.TimeExpression
 
addModApprox(String, boolean) - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
addMultInPlace(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Add c times the array b to array a.
addMultInto(double[], double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
addNonNested(T) - Method in class edu.stanford.nlp.util.IntervalTree
 
addNonOverlapping(T) - Method in class edu.stanford.nlp.util.IntervalTree
 
addNormalizedQuantitiesToEntities(List<E>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
Identifies contiguous MONEY, TIME, DATE, or PERCENT entities and tags each of their consitituents with a "normalizedQuantity" label which contains the appropriate normalized string corresponding to the full quantity.
addNormalizedQuantitiesToEntities(List<E>, boolean) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
 
addNormalizedQuantitiesToEntities(List<E>, boolean, boolean) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
Identifies contiguous MONEY, TIME, DATE, or PERCENT entities and tags each of their constituents with a "normalizedQuantity" label which contains the appropriate normalized string corresponding to the full quantity.
addOneBinaryRule(BinaryRule, Map<String, TransducerGraph>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
addOnePathToGraph(List, double, int, TransducerGraph) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
 
addOneUnaryRule(UnaryRule, Map<String, TransducerGraph>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
addORRestriction(Class, String) - Method in class edu.stanford.nlp.patterns.surface.Token
 
addParent(EventMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
addPatterns(Map<String, Map<Integer, Set<Integer>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
 
addPatterns(String, Map<Integer, Set<Integer>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
 
addPatterns(Map<String, Map<Integer, Set<Integer>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
addPatterns(String, Map<Integer, Set<Integer>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
addPatterns(String, Map<Integer, Set<Integer>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
 
addPatterns(Map<String, Map<Integer, Set<Integer>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
 
addPatWithoutPOS - Variable in class edu.stanford.nlp.patterns.surface.CreatePatterns
Add patterns without POS restriction as well: One of this and usePOS4Pattern has to be true.
addPhrase(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
addPhrase(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
addPhrase(String, String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
addPhrase(List<String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
addPhrase(List<String>, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
addPhrase(List<String>, String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
addPhrases(Collection<String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
addPhrases(Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
addPositionFeatures(List<String>, State) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
 
addPositions(int, int, FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
addPredicateNominatives(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
Find predicate nominatives
addPrev(int, History) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
addProcessedData(List<List<CRFDatum<Collection<String>, String>>>, int[][][][], int[][], double[][][][], int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Adds the List of Lists of CRFDatums to the data and labels arrays, treating each datum as if it were its own document.
addRandomBinaryMatrix(String, String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
addRandomColors - Variable in class edu.stanford.nlp.util.logging.OutputHandler
 
addRandomUnaryMatrix(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
addRelation(AceRelation) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
addRelationMention(AceRelationMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
addRelationMention(AceRelationMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
addRelationMention(CoreMap, RelationMention) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
addRelationMentions(CoreMap, Collection<RelationMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
addRelativePronoun(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
Find relative pronouns
addRelnToNodeCoord(SemgrexPattern) - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
 
addRoot(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
Changes the ROOT label, and adds a Lexicon.BOUNDARY daughter to it.
addRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
addRule(BinaryRule) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
 
addRule(IntDependency, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Add this dependency with the given count to the grammar.
addRule(UnaryRule) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
addRules(SequenceMatchRules.ExtractRule<I, O>...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
 
addRules(Collection<SequenceMatchRules.ExtractRule<I, O>>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
 
addScaled(Weight, float) - Method in class edu.stanford.nlp.parser.shiftreduce.Weight
 
addSentence(List<String[]>) - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
 
addSentence(CoreMap, CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
addSentences(CoreMap, List<CoreMap>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
addSeparatorFeature(List<String>, String, State.HeadPosition) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
 
addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, State.HeadPosition) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
 
addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, boolean) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
 
addSeparatorFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent, boolean) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
 
addSeparatorFeatures(List<String>, String, CoreLabel, String, CoreLabel, String, int) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
 
addSeparatorFeatures(List<String>, CoreLabel, CoreLabel, State.HeadPosition, State.HeadPosition) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
 
addSplit(FastExactAutomatonMinimizer.Split) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
addSplits(FastExactAutomatonMinimizer.Block) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
addSRLArcs - Static variable in class edu.stanford.nlp.semgraph.SemanticGraph
 
addSupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
 
addSupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
addTag(String, Value) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
 
addTag(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Will return the index of a tag, adding it if it doesn't already exist
addTagging(boolean, IntTaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Adds the tagging with count to the data structures in this Lexicon.
addTagging(boolean, IntTaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
Adds the tagging with count to the data structures in this Lexicon.
addTagging(boolean, IntTaggedWord, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
Adds the tagging with count to the data structures in this Lexicon.
addTemporal(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
 
addTemporalExpr(TimeExpression) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
 
addTemporalFunc(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
 
addToIndex(E) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
addToIndex(E) - Method in class edu.stanford.nlp.util.DeltaIndex
 
addToIndex(E) - Method in class edu.stanford.nlp.util.HashIndex
 
addToIndex(E) - Method in interface edu.stanford.nlp.util.Index
Takes an Object and returns the integer index of the Object.
addToIndexTemporal(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
 
addToIndexTemporalExpr(TimeExpression) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
 
addToIndexTemporalFunc(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
 
addToken(AceToken) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
addToKeySet(E) - Method in class edu.stanford.nlp.stats.Distribution
Insures that object is in keyset (with possibly zero value)
addTP(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Adds the given number to the count of true positives.
addTransformer(TreeTransformer) - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
 
addTransition(DFSATransition<T, S>) - Method in class edu.stanford.nlp.fsm.DFSAState
 
addTreeModelListener(TreeModelListener) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
addTreeNormalizer(TreeNormalizer) - Method in class edu.stanford.nlp.trees.OrderedCombinationTreeNormalizer
Adds the given tree normalizer to this combination; the tree normalizers are applied in the order they were added, with the first to be added being the first to be applied.
addTrigramFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent, CoreLabel, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
 
addUnaryFeature(List<String>, String, CoreLabel, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
 
addUnaryQueueFeatures(List<String>, CoreLabel, String) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
 
addUnaryStackFeatures(List<String>, CoreLabel, String, String, String, String, String) - Static method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
 
addUnsupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
 
addUnsupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
addVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
For adding a zero degree vertex
addVertex(V) - Method in interface edu.stanford.nlp.graph.Graph
For adding a zero degree vertex
addVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
addVThatTaking(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
addWordShapes(String, Set<String>) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
ADJECTIVAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "adjectival complement" grammatical relation.
ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "adjectival modifier" grammatical relation.
ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "adjective modifier" (amod) grammatical relation.
adjSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
adjustBias(List<List<IN>>, Function<Double, Double>, double, double) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
Adjust the bias parameter to optimize some objective function.
adjustPhrasePositions(int, String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
Recomputes start/end phrase positions by removing SGML tag strings This is required because ACE annotations skip over SGML tags when computing positions in stream, hence annotations do not match with our preprocessing positions, which count everything
ADMath - Class in edu.stanford.nlp.math
The class ADMath was created to extend the current calculations of gradient to automatically include a calculation of the hessian vector product with another vector v.
ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "adverbial clause modifier" grammatical relation.
advanceLeft(boolean[]) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
 
advanceRight(boolean[]) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
 
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "adverbial modifier" grammatical relation.
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "adverbial modifier" (advmod) grammatical relation.
adverbSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
 
advSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
affDict - Class in edu.stanford.nlp.wordseg
affixation information
affDict(String) - Constructor for class edu.stanford.nlp.wordseg.affDict
 
after(AceEntityMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
Verifies if this mention appears after the parameter in textual order
after() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the whitespace String after the word.
after() - Method in interface edu.stanford.nlp.ling.HasContext
Return the whitespace String after the word.
AfterAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation
 
AFTERNOON - Static variable in class edu.stanford.nlp.time.SUTime
 
agenda - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
AGENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "agent" grammatical relation.
aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatAggregator
 
aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatCoreMapListAggregator
 
aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatListAggregator
 
aggregate(Class, List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.MostFreqAggregator
 
AGGREGATE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
AliasMatch - Class in edu.stanford.nlp.dcoref.sievepasses
 
AliasMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.AliasMatch
 
align(List<CoreMap>, List<CoreMap>) - Static method in class edu.stanford.nlp.ie.machinereading.ResultsPrinter
If the same set of sentences is contained in two lists, order the lists so that their sentences are in the same order (and return true).
alignDDAlpha - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
alignLeft(JComponent) - Static method in class edu.stanford.nlp.trees.tregex.gui.PreferencesPanel
 
Alignment - Class in edu.stanford.nlp.semgraph.semgrex
Represents an alignment between a text and a hypothesis as a map from hypothesis words to text words, along with a real-valued score and (optionally) a justification string.
Alignment(Map<IndexedWord, IndexedWord>, double, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.Alignment
 
alignmentDecodeThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
alignmentPruneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
alignSentence(CoreMap) - Static method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
Copies one sentence replicating only information necessary for SUTime
allCandidatePhrases - Variable in class edu.stanford.nlp.patterns.surface.ScorePatterns
 
allGoldMentions - Variable in class edu.stanford.nlp.dcoref.Document
 
allIndices - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
allLabels(int, Index<String>) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
ALLOW_REPARSING - Static variable in class edu.stanford.nlp.dcoref.Constants
Whether or not the RuleBasedCorefMentionFinder can reparse a phrase to find its head
ALLOW_REPARSING_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
allowedNERsforLabels - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
allowedTagsInitials - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
allPatternsDir - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Cached file of all patterns for all tokens
allPositions - Variable in class edu.stanford.nlp.dcoref.Document
 
allPredictedMentions - Variable in class edu.stanford.nlp.dcoref.Document
All mentions in a document mentionID -> mention
allPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
AllRelationMentionsAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.AllRelationMentionsAnnotation
 
allTypedDependencies(Tree, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Returns a new SemanticGraph constructed from the given tree.
allTypedDependencies - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
allTypedDependencies() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Returns all the typed dependencies of this grammatical structure.
allValues() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
alpha - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
alphaFile - Variable in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
alsoHide(Object) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
Show all the channels currently being printed, with the exception of this new one
alsoShow(Object) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
Show all the channels currently being printed, in addition to a new one
altAnswerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
alternateTraining - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
altTag - Variable in class edu.stanford.nlp.international.morph.MorphoFeatures
 
altVal() - Method in class edu.stanford.nlp.time.Timex
 
am - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
 
AmbiguityClass - Class in edu.stanford.nlp.tagger.maxent
An ambiguity class for a word is the word by itself or its set of observed tags.
AmbiguityClass(String, boolean, Dictionary, TTags) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
AmbiguityClasses - Class in edu.stanford.nlp.tagger.maxent
A collection of Ambiguity Class.
AmbiguityClasses(TTags) - Constructor for class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
Americanize - Class in edu.stanford.nlp.process
Takes a HasWord or String and returns an Americanized version of it.
Americanize() - Constructor for class edu.stanford.nlp.process.Americanize
 
Americanize(int) - Constructor for class edu.stanford.nlp.process.Americanize
Make an object for Americanizing spelling.
americanize(String) - Static method in class edu.stanford.nlp.process.Americanize
Convert the spelling of a word from British to American English.
americanize(String, boolean) - Static method in class edu.stanford.nlp.process.Americanize
Convert the spelling of a word from British to American English.
AmericanizeFunction - Class in edu.stanford.nlp.process
 
AmericanizeFunction() - Constructor for class edu.stanford.nlp.process.AmericanizeFunction
 
AMPERSAND - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
ancestor(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
Return the ancestor tree node height nodes up from the current node.
ANCORA_OPTS - Static variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
 
AnCoraPronounDisambiguator - Class in edu.stanford.nlp.international.spanish.process
A utility for preprocessing the AnCora Spanish corpus.
AnCoraPronounDisambiguator() - Constructor for class edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator
 
AnCoraPronounDisambiguator.PersonalPronounType - Enum in edu.stanford.nlp.international.spanish.process
 
AND_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
AndExpression(List<Expression>) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.AndExpression
 
andFilter(Predicate<E>, Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters
Filter that accepts only when both filters accept (AND).
AndPatternExpr(List<SequencePattern.PatternExpr>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
 
AndPatternExpr(SequencePattern.PatternExpr...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
 
animacies - Variable in class edu.stanford.nlp.dcoref.CorefCluster
 
animaciesAgree(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
 
animaciesAgree(Mention, boolean) - Method in class edu.stanford.nlp.dcoref.Mention
 
animacy - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
 
animacy - Variable in class edu.stanford.nlp.dcoref.Mention
 
ANIMATE_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
animatePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
animateWords - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
annealingRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
annealingType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
Annotate an ExtractionDataSet with entities.
annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
annotate(Annotation) - Method in interface edu.stanford.nlp.ie.machinereading.Extractor
Annotates the given dataset with the current model This works in place, i.e., it adds ExtractionObject objects to the sentences in the dataset To make sure you are not messing with gold annotation create a copy of the ExtractionDataSet first!
annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.ExtractorMerger
 
annotate(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
annotate(Annotation, int) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
annotate(MatchedExpression, List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
annotate(MatchedExpression) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
Run the pipeline on an input annotation.
annotate(Iterable<Annotation>) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
Annotate a collection of input annotations IN PARALLEL, making use of all available cores.
annotate(Iterable<Annotation>, Function<Annotation, Object>) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
Annotate a collection of input annotations IN PARALLEL, making use of all available cores.
annotate(Iterable<Annotation>, int) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
Annotate a collection of input annotations IN PARALLEL, making use of threads given in numThreads.
annotate(Iterable<Annotation>, int, Function<Annotation, Object>) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
Annotate a collection of input annotations IN PARALLEL, making use of threads given in numThreads
annotate(Annotation) - Method in interface edu.stanford.nlp.pipeline.Annotator
Given an Annotation, perform a task on this Annotation.
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.BinarizerAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CharniakParserAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.DeterministicCorefAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.GenderAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.MorphaAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.POSTaggerAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.RegexNERAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.RelationExtractorAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.SentenceAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.SentimentAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TokenizerAnnotator
Does the actual work of splitting TextAnnotation into CoreLabels, which are then attached to the TokensAnnotation.
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TokensRegexAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.TrueCaseAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.WordsToSentencesAnnotator
If setCountLineNumbers is set to true, we count line numbers by telling the underlying splitter to return empty lists of tokens and then treating those empty lists as empty lines.
annotate(Annotation) - Method in class edu.stanford.nlp.time.GUTimeAnnotator
 
annotate(CoreMap) - Method in class edu.stanford.nlp.time.GUTimeAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.time.HeidelTimeAnnotator
 
annotate(CoreMap) - Method in class edu.stanford.nlp.time.HeidelTimeAnnotator
 
annotate(Annotation) - Method in class edu.stanford.nlp.time.TimeAnnotator
 
AnnotateAction(Map<String, String>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.AnnotateAction
 
AnnotateAction(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
annotateChunk(CoreMap, List<CoreLabel>, int, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Annotates a CoreMap representing a chunk with basic chunk information CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk TokensAnnotation - List of tokens in this chunk TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens) tokenStartIndex + totalTokenOffset TokenEndAnnotation - Index of last token in chunk (index in original list of tokens) tokenEndIndex + totalTokenOffset
annotateChunk(CoreMap, Class, Class, CoreMapAttributeAggregator) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
annotateChunk(CoreMap, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
annotateChunks(List<? extends CoreMap>, int, int, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
annotateChunks(List<? extends CoreMap>, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
annotateChunkText(CoreMap, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Annotates a CoreMap representing a chunk with text information TextAnnotation - String representing tokens in this chunks (token text separated by space)
annotateChunkText(CoreMap, CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Annotates a CoreMap representing a chunk with text information TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
annotateChunkTokens(CoreMap, Class, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Annotates tokens in chunk
AnnotatedTextReader - Class in edu.stanford.nlp.patterns.surface
CanNOT handle overlapping labeled text (that is one token cannot belong to multiple labels)! Note that there has to be spaces around the tags for the reader to work correctly!
AnnotatedTextReader() - Constructor for class edu.stanford.nlp.patterns.surface.AnnotatedTextReader
 
AnnotatedTree() - Constructor for class edu.stanford.nlp.sentiment.SentimentCoreAnnotations.AnnotatedTree
 
annotateGroup(Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
 
annotateGroup(int, Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
 
AnnotateHeadFunction(HeadFinder) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
 
AnnotateHeadFunction(HeadFinder, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
 
annotateMulticlass(List<Datum<String, String>>) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
AnnotatePunctuationFunction(String, String) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
 
annotateSentence(CoreMap) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
annotateSingleSentence(CoreMap, String, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeAnnotator
Helper method for people not working from a complete Annotation.
annotateTokenCoref - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
annotateTokenNer - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
annotateTokenPos - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
annotateTokenSpeaker - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
annotateTreeCoref - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
annotateTreeNer - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
annotateTrees(List<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
 
annotation - Variable in class edu.stanford.nlp.dcoref.Document
Document annotation
annotation - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
Annotation - Class in edu.stanford.nlp.pipeline
An annotation representing a span of text in a document.
Annotation(Annotation) - Constructor for class edu.stanford.nlp.pipeline.Annotation
Copy constructor.
Annotation(String) - Constructor for class edu.stanford.nlp.pipeline.Annotation
The text becomes the CoreAnnotations.TextAnnotation of the newly created Annotation.
Annotation(List<CoreMap>) - Constructor for class edu.stanford.nlp.pipeline.Annotation
 
Annotation() - Constructor for class edu.stanford.nlp.pipeline.Annotation
Deprecated.
Annotation() - Constructor for class edu.stanford.nlp.time.TimeExpression.Annotation
 
ANNOTATION_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
AnnotationExtractRule() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
 
AnnotationExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRuleCreator
 
annotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
Annotation field to apply rule over: text or tokens or numerizedtokens
AnnotationLookup - Class in edu.stanford.nlp.ling
 
AnnotationLookup.KeyLookup - Enum in edu.stanford.nlp.ling
 
AnnotationMatchedFilter(MatchedExpression.SingleAnnotationExtractor) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationMatchedFilter
 
AnnotationOutputter - Class in edu.stanford.nlp.pipeline
An interface for outputting CoreNLP Annotations to different output formats.
AnnotationOutputter() - Constructor for class edu.stanford.nlp.pipeline.AnnotationOutputter
 
AnnotationOutputter.Options - Class in edu.stanford.nlp.pipeline
 
AnnotationPipeline - Class in edu.stanford.nlp.pipeline
This class is designed to apply multiple Annotators to an Annotation.
AnnotationPipeline(List<Annotator>) - Constructor for class edu.stanford.nlp.pipeline.AnnotationPipeline
 
AnnotationPipeline() - Constructor for class edu.stanford.nlp.pipeline.AnnotationPipeline
 
annotations - Variable in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
This data structure dictates how an arbitrary tree should be annotated.
AnnotationSerializer - Class in edu.stanford.nlp.pipeline
 
AnnotationSerializer() - Constructor for class edu.stanford.nlp.pipeline.AnnotationSerializer
 
AnnotationSerializer.IntermediateEdge - Class in edu.stanford.nlp.pipeline
 
AnnotationSerializer.IntermediateNode - Class in edu.stanford.nlp.pipeline
 
AnnotationSerializer.IntermediateSemanticGraph - Class in edu.stanford.nlp.pipeline
 
annotationsToSkip - Variable in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
annotationToDoc(Annotation, StanfordCoreNLP) - Static method in class edu.stanford.nlp.pipeline.XMLOutputter
Converts the given annotation to an XML document using options taken from the StanfordCoreNLP pipeline
annotationToDoc(Annotation, AnnotationOutputter.Options) - Static method in class edu.stanford.nlp.pipeline.XMLOutputter
Converts the given annotation to an XML document using the specified options
annotationToTmlTextElement(Annotation) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
annotationToXmlDocument(Annotation) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
AnnotationUtils - Class in edu.stanford.nlp.ie.machinereading.structure
Utilities to manipulate Annotations storing datasets or sentences with Machine Reading info
Annotator - Interface in edu.stanford.nlp.pipeline
This is an interface for adding annotations to a fully annotated Annotation.
Annotator.Requirement - Class in edu.stanford.nlp.pipeline
The Requirement is a general way of describing the pre and post conditions of an Annotator running.
AnnotatorFactories - Class in edu.stanford.nlp.pipeline
A companion to AnnotatorFactory defining the common annotators.
AnnotatorFactories() - Constructor for class edu.stanford.nlp.pipeline.AnnotatorFactories
 
AnnotatorFactory - Class in edu.stanford.nlp.pipeline
A Factory for creating a certain type of Annotator.
AnnotatorFactory(Properties, AnnotatorImplementations) - Constructor for class edu.stanford.nlp.pipeline.AnnotatorFactory
 
AnnotatorImplementations - Class in edu.stanford.nlp.pipeline
A class abstracting the implementation of various annotators.
AnnotatorImplementations() - Constructor for class edu.stanford.nlp.pipeline.AnnotatorImplementations
 
AnnotatorPool - Class in edu.stanford.nlp.pipeline
An object for keeping track of Annotators.
AnnotatorPool() - Constructor for class edu.stanford.nlp.pipeline.AnnotatorPool
Create an empty AnnotatorPool.
announceObjectBankEntries - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
ansiCode - Variable in enum edu.stanford.nlp.util.logging.Color
 
ansiCode - Variable in enum edu.stanford.nlp.util.logging.Style
 
AnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation
 
answerClass - Variable in class edu.stanford.nlp.patterns.surface.LearnImportantFeatures
 
answerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
answerLabel - Variable in class edu.stanford.nlp.patterns.surface.LearnImportantFeatures
 
AnswerObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerObjectAnnotation
 
AntecedentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AntecedentAnnotation
 
antecedentIsMentionSpeaker(Document, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
Is the speaker for mention the same entity as the ant entity?
antecedentMatchesMentionSpeakerAnnotation(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
Is the speaker for mention the same entity as the ant entity?
antecedentMatchesMentionSpeakerAnnotation(Mention, Mention, Document) - Static method in class edu.stanford.nlp.dcoref.Rules
The antecedent matches the speaker annotation found in the mention
ANY - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
ANY - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
ANY_DISTANCE_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
 
ANY_NODE - Static variable in class edu.stanford.nlp.ling.tokensregex.NodePattern
 
ANY_NODE_PATTERN - Static variable in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
 
ANY_NODE_PATTERN_EXPR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
ANY_TAG_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
ANY_WORD_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
AnyNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.AnyNodePattern
 
aOverAFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
AOverAFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.AOverAFilter
 
APOSTROPHE - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
appearEarlierThan(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
Find which mention appears first in a document
append(SequenceMatchResult<T>, List) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.BasicMatchReplacement
Append to replacement list our list of replacement items
append(SequenceMatchResult<T>, List) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.GroupMatchReplacement
Append to replacement list the matched group with the specified group id
append(SequenceMatchResult<T>, List) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatcher.MatchReplacement
Append to replacement list
append(SequenceMatchResult<T>, List) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.NamedGroupMatchReplacement
Append to replacement list the matched group with the specified group name
append(CharSequence) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
append(CharSequence, int, int) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
append(char) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
appendCoreMap(List<T>, CoreMap, String, int, int, CoreTokenFactory<T>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
appendDateFormats(DateTimeFormatterBuilder, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
appendLC - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
appendOffset(StringBuffer, int) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceElement
 
appendRules(List<SequenceMatchRules.Rule>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
Add specified rules to this extractor
appendTimeFormats(DateTimeFormatterBuilder, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
appliesNumericClassifiers() - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
 
apply(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Maps a String input to an XML-formatted rendition of applying NER to the String.
apply(String) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
 
apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePatternTrigger
 
apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.AnnotateAction
 
apply(SequenceMatchResult<CoreMap>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.MergeAction
 
apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher.BasicSequencePatternTrigger
 
apply(SequenceMatchResult<T>, int...) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchAction
 
apply(SequenceMatchResult<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BoundAction
 
apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BranchAction
 
apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.NextMatchAction
 
apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.SeriesAction
 
apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.StartMatchAction
 
apply(MR) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.GroupToIntervalFunc
 
apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapFunctionApplier
 
apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListFunctionApplier
 
apply(SequenceMatchResult<CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchedExpressionExtractor
 
apply(SequenceMatchResult<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchResultExtractor
 
apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
 
apply(MatchResult) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchedExpressionExtractor
 
apply(MatchResult) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchResultExtractor
 
apply(String) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
 
apply(Env, List<Value>) - Method in interface edu.stanford.nlp.ling.tokensregex.types.ValueFunction
Applies the function to the list values using the environment as context and returns the evaluated value.
apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
 
apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
 
apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
 
apply(Env, List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
 
apply(X) - Method in class edu.stanford.nlp.objectbank.IdentityFunction
 
apply(String) - Method in class edu.stanford.nlp.objectbank.ObjectBank.PathToFileFunction
 
apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.common.ParserGrammar
Parses the list of HasWord.
apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
 
apply(Pair<UnaryGrammar, BinaryGrammar>) - Method in class edu.stanford.nlp.parser.lexparser.LinearGrammarSmoother
Destructively modifies the input and returns it as a convenience.
apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
 
apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.SimpleStringFunction
 
apply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
 
apply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
Apply the given transition to the given configuration, modifying the configuration's state in place.
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
Add a binary node to the existing node on top of the stack
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
Add a binary node to the existing node on top of the stack
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
Add a unary node to the existing node on top of the stack
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
Add a unary node to the existing node on top of the stack
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
 
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
 
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition
Do nothing
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition
Do nothing
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition
Add the new preterminal to the stack, increment the queue position.
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition
Add the new preterminal to the stack, increment the queue position.
apply(State) - Method in interface edu.stanford.nlp.parser.shiftreduce.Transition
Applies this transition to get a new state.
apply(State, double) - Method in interface edu.stanford.nlp.parser.shiftreduce.Transition
Applies this transition to get a new state.
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition
Add a unary node to the existing node on top of the stack
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition
Add a unary node to the existing node on top of the stack
apply(List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
 
apply(HasWord) - Method in class edu.stanford.nlp.process.Americanize
Americanize the HasWord or String coming in.
apply(String) - Method in class edu.stanford.nlp.process.AmericanizeFunction
 
apply(String) - Method in class edu.stanford.nlp.process.LowercaseAndAmericanizeFunction
 
apply(String) - Method in class edu.stanford.nlp.process.LowercaseFunction
 
apply(Object) - Method in class edu.stanford.nlp.process.Morphology
 
apply(List<IN>) - Method in class edu.stanford.nlp.process.PTBEscapingProcessor
Escape a List of HasWords.
apply(String) - Method in class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter.LineToTrueCasesParser
 
apply(String) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.StringStringConverter
 
apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.common.Tagger
 
apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Expects a sentence and returns a tagged sentence.
apply(SUTime.Temporal, SUTime.Temporal, int) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
 
apply(SUTime.Temporal, SUTime.Temporal) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
 
apply(SUTime.Temporal...) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
 
apply(Object...) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
 
apply(String) - Method in class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
 
apply(MatchResult) - Method in class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
 
apply(CoreMap) - Method in class edu.stanford.nlp.time.TimeFormatter.JavaDateFormatExtractor
 
apply(CoreMap) - Method in class edu.stanford.nlp.time.TimeFormatter.JodaDateTimeFormatExtractor
 
apply(Tree) - Method in class edu.stanford.nlp.trees.BasicCategoryTreeTransformer
 
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.CompositeTreebank
 
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.DiskTreebank
Applies the TreeVisitor to to all trees in the Treebank.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.FilteringTreebank
Applies the TreeVisitor, but only to the trees that pass the filter.
apply(List<HasWord>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEscaper
Note: At present this clobbers the input list items.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.MemoryTreebank
Apply the TreeVisitor tp to all trees in the Treebank.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.TransformingTreebank
Applies the TreeVisitor to to all trees in the Treebank.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.Treebank
Apply a TreeVisitor to each tree in the Treebank.
apply(String) - Method in enum edu.stanford.nlp.util.logging.Color
 
apply() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Apply this configuration to Redwood
apply(Properties) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Parses a properties file and applies it immediately to Redwood
apply(RedwoodConfiguration, Redwood.RecordHandlerTree) - Method in interface edu.stanford.nlp.util.logging.RedwoodConfiguration.Thunk
 
apply(Properties) - Static method in class edu.stanford.nlp.util.logging.StanfordRedwoodConfiguration
Configures the Redwood logger using a reasonable set of defaults, which can be overruled by the supplied Properties file
apply(String) - Method in class edu.stanford.nlp.util.UTF8EquivalenceFunction
 
APPLY_NUMERIC_CLASSIFIERS_DEFAULT - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
 
APPLY_NUMERIC_CLASSIFIERS_PROPERTY - Static variable in class edu.stanford.nlp.ie.NERClassifierCombiner
 
applyCompositeRule(SequenceMatchRules.ExtractRule<List<? extends CoreMap>, T>, List<? extends CoreMap>, List<T>, int) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
 
applyFeatureCountThreshold(List<Pair<Pattern, Integer>>) - Method in class edu.stanford.nlp.classify.Dataset
Applies feature count thresholds to the Dataset.
applyFeatureCountThreshold(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
Applies a feature count threshold to the Dataset.
applyFeatureCountThreshold(int) - Method in class edu.stanford.nlp.classify.RVFDataset
Applies a feature count threshold to the RVFDataset.
applyFeatureMaxCountThreshold(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
Applies a max feature count threshold to the Dataset.
applyFeatureMaxCountThreshold(int) - Method in class edu.stanford.nlp.classify.RVFDataset
Applies a feature max count threshold to the RVFDataset.
applyInitialHessian(double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
applyNERPenalty - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
applyPats(Counter<Integer>, String, TwoDimensionalCounter<Pair<String, String>, Integer>, CollectionValuedMap<Integer, Triple<String, Integer, Integer>>) - Method in class edu.stanford.nlp.patterns.surface.ScorePhrases
 
ApplyPatterns - Class in edu.stanford.nlp.patterns.surface
 
ApplyPatterns(Map<String, List<CoreLabel>>, List<String>, Map<TokenSequencePattern, Integer>, String, boolean, boolean, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.surface.ApplyPatterns
 
applyPrior(double[], double) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
applySpecializedNER(List<E>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
Runs a deterministic named entity classifier which is good at recognizing numbers and money and date expressions not recognized by our statistical NER.
applyToProjections(TreeVisitor, Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
 
APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "appositional modifier" grammatical relation.
APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "appositional modifier" (appos) grammatical relation (abstract).
appositions - Variable in class edu.stanford.nlp.dcoref.Mention
Set of other mentions in the same sentence that are syntactic appositions to this
approx - Variable in class edu.stanford.nlp.time.SUTime.Temporal
 
APPROXIMATE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
approximate - Variable in class edu.stanford.nlp.time.JodaTimeUtils.ConversionOptions
Treat durations as approximate
APPROXIMATE - Static variable in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
 
APPROXIMATE_EQUIVALENCE_CLASSES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
 
ApproximateRepeatSemantics() - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
 
ApproxMatch<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher
Represents an approximate match with a cost
ApproxMatch() - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
 
ApproxMatch(List<K>, V, int, int, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
 
ApproxMatch(List<K>, V, int, int, List<Match<K, V>>, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
 
ApproxMatch(List<K>, V, int, int, List<Match<K, V>>, double, Interval[]) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
 
APRIL - Static variable in class edu.stanford.nlp.time.SUTime
 
ARABIC - Static variable in class edu.stanford.nlp.swing.FontDetector
 
arabicDigit - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
ArabicDocumentReaderAndWriter - Class in edu.stanford.nlp.international.arabic.process
Reads newline delimited UTF-8 Arabic sentences with or without gold segmentation markers.
ArabicDocumentReaderAndWriter(boolean) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
 
ArabicDocumentReaderAndWriter(boolean, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
 
ArabicDocumentReaderAndWriter(boolean, boolean, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
 
ArabicDocumentReaderAndWriter(boolean, boolean, boolean, String, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
 
ArabicDocumentReaderAndWriter(boolean, boolean, boolean, String, boolean, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
 
ArabicDocumentReaderAndWriter.RewrittenArabicAnnotation - Class in edu.stanford.nlp.international.arabic.process
 
ArabicEmptyFilter() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer.ArabicEmptyFilter
 
ArabicHeadFinder - Class in edu.stanford.nlp.trees.international.arabic
Find the head of an Arabic tree, using the usual kind of heuristic head finding rules.
ArabicHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
 
ArabicHeadFinder(String) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
Construct an ArabicHeadFinder with a String parameter corresponding to the tagset in use.
ArabicHeadFinder(ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
 
ArabicHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
 
ArabicHeadFinder(TreebankLanguagePack, ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
 
ArabicHeadFinder.TagSet - Enum in edu.stanford.nlp.trees.international.arabic
 
ArabicMorphoFeatures() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
 
ArabicMorphoFeatureSpecification - Class in edu.stanford.nlp.international.arabic
Extracts morphosyntactic features from BAMA/SAMA analyses.
ArabicMorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
 
ArabicMorphoFeatureSpecification.ArabicMorphoFeatures - Class in edu.stanford.nlp.international.arabic
Converts features specifications to labels for tagging
arabicPunc - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
ArabicRawTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
 
ArabicRawTreeReaderFactory(boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
 
ArabicSegmenter - Class in edu.stanford.nlp.international.arabic.process
Arabic word segmentation model based on conditional random fields (CRF).
ArabicSegmenter(Properties) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
Make an Arabic Segmenter.
ArabicSegmenter(ArabicSegmenter) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
Copy constructor.
ArabicSegmenterFeatureFactory<IN extends CoreLabel> - Class in edu.stanford.nlp.international.arabic.process
Feature factory for the IOB clitic segmentation model described by Green and DeNero (2012).
ArabicSegmenterFeatureFactory() - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
 
ArabicSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams.ArabicSubcategoryStripper
 
ArabicTokenizer<T extends HasWord> - Class in edu.stanford.nlp.international.arabic.process
Tokenizer for UTF-8 Arabic.
ArabicTokenizer(Reader, LexedTokenFactory<T>, Properties) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
 
ArabicTokenizer.ArabicTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.international.arabic.process
 
ArabicTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.arabic
Specifies the treebank/language specific components needed for parsing the Penn Arabic Treebank (ATB).
ArabicTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
 
ArabicTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
A TreebankLangParserParams implementing class for the Penn Arabic Treebank.
ArabicTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
 
ArabicTreebankParserParams.ArabicSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
 
ArabicTreebankTokenizer - Class in edu.stanford.nlp.trees.international.arabic
Builds a tokenizer for the Penn Arabic Treebank (ATB) using a StreamTokenizer.
ArabicTreebankTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer
 
ArabicTreeNormalizer - Class in edu.stanford.nlp.trees.international.arabic
Normalizes both terminals and non-terminals in Penn Arabic Treebank (ATB) trees.
ArabicTreeNormalizer(boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
 
ArabicTreeNormalizer(boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
 
ArabicTreeNormalizer(boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
 
ArabicTreeNormalizer(boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
 
ArabicTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
 
ArabicTreeNormalizer.ArabicEmptyFilter - Class in edu.stanford.nlp.trees.international.arabic
Remove traces and pronoun deletion markers.
ArabicTreeReaderFactory - Class in edu.stanford.nlp.trees.international.arabic
Reads ArabicTreebank trees.
ArabicTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
 
ArabicTreeReaderFactory(boolean, boolean, boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
 
ArabicTreeReaderFactory.ArabicRawTreeReaderFactory - Class in edu.stanford.nlp.trees.international.arabic
 
ArabicUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser
This is a basic unknown word model for Arabic.
ArabicUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>) - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
 
ArabicUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
This constructor creates an UWM with empty data structures.
ArabicUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
 
ArabicUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModelTrainer
 
arbitraryInputLayerSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
Arc(TransducerGraph.Arc<NODE, IN, OUT>) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
Arc(NODE, NODE) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
Arc(NODE, NODE, IN) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
Arc(NODE, NODE, IN, OUT) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
ARCH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
ArcStandard - Class in edu.stanford.nlp.parser.nndep
Defines an arc-standard transition-based dependency parsing system (Nivre, 2004).
ArcStandard(TreebankLanguagePack, List<String>, boolean) - Constructor for class edu.stanford.nlp.parser.nndep.ArcStandard
 
areTransitionsEqual(State) - Method in class edu.stanford.nlp.parser.shiftreduce.State
Whether or not the transitions that built the two states are equal.
arg - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
 
argCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Stores all the counts for dependencies (with and without the word being a wildcard) in the reduced tag space.
ArgDescendentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgDescendentAnnotation
 
argmax(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmax(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmax(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmax(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Finds and returns the key in the Counter with the largest count.
argmax(Counter<E>, Comparator<E>) - Static method in class edu.stanford.nlp.stats.Counters
Finds and returns the key in the Counter with the largest count.
argmax() - Method in class edu.stanford.nlp.stats.Distribution
 
argmax(Comparator<E>) - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the key in this Counter with the largest count.
argmax() - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the key in this Counter with the largest count.
argmax_tieLast(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmin(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmin(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmin(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmin(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Finds and returns the key in this Counter with the smallest count.
argmin(Counter<E>, Comparator<E>) - Static method in class edu.stanford.nlp.stats.Counters
Finds and returns the key in this Counter with the smallest count.
argmin(Comparator<E>) - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the key in this Counter with the smallest count.
argmin() - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the key in this Counter with the smallest count.
argNames - Variable in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
List of argument names in this relation
args - Variable in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
List of arguments in this relation If unnamed, arguments MUST be stored in semantic order, e.g., ARG0 must be a person in a employed-by relation
argsMatch(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
argsMatch(ExtractionObject...) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
argsMatch(List<ExtractionObject>) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
Verifies if the two sets of arguments match
argsToMap(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Parses command line arguments into a Map.
argsToMap(String[], Map<String, Integer>) - Static method in class edu.stanford.nlp.util.StringUtils
Parses command line arguments into a Map.
argsToProperties(String...) - Static method in class edu.stanford.nlp.util.StringUtils
In this version each flag has zero or one argument.
argsToProperties(String[], Map<String, Integer>) - Static method in class edu.stanford.nlp.util.StringUtils
argsToPropertiesWithResolve(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
convert args to properties with variable names resolved.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "argument" grammatical relation.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "argument" (arg) grammatical relation (abstract).
ArgumentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgumentAnnotation
 
ArgUtils - Class in edu.stanford.nlp.parser.common
Utility methods or common blocks of code for dealing with parser arguments, such as extracting Treebank information
ARMY_TIME_MORNING - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
arrange(Annotation, List<List<CoreLabel>>, List<Tree>, List<List<Mention>>) - Method in class edu.stanford.nlp.dcoref.MentionExtractor
 
arrange(Annotation, List<List<CoreLabel>>, List<Tree>, List<List<Mention>>, List<List<Mention>>, boolean) - Method in class edu.stanford.nlp.dcoref.MentionExtractor
 
arrange(Annotation, List<List<CoreLabel>>, List<Tree>, List<List<Mention>>, boolean) - Method in class edu.stanford.nlp.dcoref.MentionExtractor
Post-processes the extracted mentions.
ARRAY_LIST_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
 
ArrayCoreMap - Class in edu.stanford.nlp.util
Base implementation of CoreMap backed by two Java arrays.
ArrayCoreMap() - Constructor for class edu.stanford.nlp.util.ArrayCoreMap
Default constructor - initializes with default initial annotation capacity of 4.
ArrayCoreMap(int) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap
Initializes this ArrayCoreMap, pre-allocating arrays to hold up to capacity key,value pairs.
ArrayCoreMap(ArrayCoreMap) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap
Copy constructor.
ArrayCoreMap(CoreMap) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap
Copy constructor.
ArrayHeap<E> - Class in edu.stanford.nlp.util
Implements a heap as an ArrayList.
ArrayHeap(Comparator<? super E>) - Constructor for class edu.stanford.nlp.util.ArrayHeap
Create an ArrayHeap.
ArrayHeap(Comparator<? super E>, int) - Constructor for class edu.stanford.nlp.util.ArrayHeap
 
arrayListFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
Return a factory for making ArrayList Collections.
arrayListFactory(int) - Static method in class edu.stanford.nlp.util.CollectionFactory
 
ArrayListFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
 
ArrayMap<K,V> - Class in edu.stanford.nlp.util
Map backed by an Array.
ArrayMap() - Constructor for class edu.stanford.nlp.util.ArrayMap
 
ArrayMap(int) - Constructor for class edu.stanford.nlp.util.ArrayMap
 
ArrayMap(Map<? extends K, ? extends V>) - Constructor for class edu.stanford.nlp.util.ArrayMap
 
ArrayMap(K[], V[]) - Constructor for class edu.stanford.nlp.util.ArrayMap
 
arrayMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
Return a MapFactory that returns an ArrayMap.
ArrayMath - Class in edu.stanford.nlp.math
Class ArrayMath
ArrayMath.InvalidElementException - Exception in edu.stanford.nlp.math
 
ArraySet<E> - Class in edu.stanford.nlp.util
An array-backed set.
ArraySet() - Constructor for class edu.stanford.nlp.util.ArraySet
Constructs an ArraySet.
ArraySet(int) - Constructor for class edu.stanford.nlp.util.ArraySet
Constructs an ArraySet with specified initial size of backing array.
ArraySet(E...) - Constructor for class edu.stanford.nlp.util.ArraySet
Constructs an ArraySet with the specified elements.
arraySize - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
ArrayStringFilter - Class in edu.stanford.nlp.util
Filters Strings based on whether they exactly match any string in the array it is initially constructed with.
ArrayStringFilter(ArrayStringFilter.Mode, String...) - Constructor for class edu.stanford.nlp.util.ArrayStringFilter
 
ArrayStringFilter.Mode - Enum in edu.stanford.nlp.util
 
arrayToFile(double[], String) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
ArrayUtils - Class in edu.stanford.nlp.util
Static utility methods for operating on arrays.
asArray(Counter<E>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
Convert a counter to an array using a specified key index.
asArray(Counter<E>, Index<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
Convert a counter to an array using a specified key index.
asArray(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Convert a counter to an array, the order of the array is random
asArrayList(Iterator<? extends T>) - Static method in class edu.stanford.nlp.util.Iterables
Creates an ArrayList containing all of the Objects returned by the given Iterator.
ASBCunkDict - Class in edu.stanford.nlp.tagger.maxent
 
ASCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
 
asCharacterArray(String) - Static method in class edu.stanford.nlp.util.Characters
Map a String to an array of type Character.
ASCII - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
asCollection(Iterator<? extends E>, CollectionFactory<E>) - Static method in class edu.stanford.nlp.util.Iterables
Creates a new Collection from the given CollectionFactory, and adds all of the Objects returned by the given Iterator.
asCounter(Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
Takes in a Collection of something and makes a counter, incrementing once for each object in the collection.
asCounter(FixedPrioritiesPriorityQueue<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a counter whose keys are the elements in this priority queue, and whose counts are the priorities in this queue.
asDOTString() - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
asDoubleArray(Collection<Double>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
asExpression(Env, Object) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
asFeatures() - Method in class edu.stanford.nlp.ie.crf.CRFDatum
Returns the collection that this BasicDatum was constructed with.
asFeatures() - Method in class edu.stanford.nlp.ling.BasicDatum
Returns the collection that this BasicDatum was constructed with.
asFeatures() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns this (the features are the list of words).
asFeatures() - Method in interface edu.stanford.nlp.ling.Featurizable
returns Object as a Collection of its features
asFeatures() - Method in class edu.stanford.nlp.ling.RVFDatum
Returns the list of features without values
asFeaturesCounter() - Method in class edu.stanford.nlp.ling.RVFDatum
Returns the Counter of features and values
asFeatureVals() - Method in class edu.stanford.nlp.ie.crf.CRFDatum
Returns the double array containing the feature values
asHashSet(Iterator<? extends T>) - Static method in class edu.stanford.nlp.util.Iterables
Creates a HashSet containing all of the Objects returned by the given Iterator.
asImmutableSet(T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Return an immutable Set containing the same elements as the specified array.
asIntArray(Collection<Integer>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
asList() - Method in class edu.stanford.nlp.util.ArrayHeap
 
asList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
needed because Arrays.asList() won't to autoboxing, so if you give it a primitive array you get a singleton list back with just that array as an element.
asList(int[]) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
asList(double[]) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
asList() - Method in class edu.stanford.nlp.util.Pair
 
asList() - Method in class edu.stanford.nlp.util.Quadruple
 
asList() - Method in class edu.stanford.nlp.util.TreeShapedStack
Returns the current stack as a list
asList() - Method in class edu.stanford.nlp.util.Triple
 
asMap(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a map view of the given counter.
asMap(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Tired of Properties not behaving like Map<String,String>s? This method will solve that problem for you.
asObject(Env, Object) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
ASPECT_MARKER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "aspect marker" grammatical relation.
asPrimitiveDoubleArray(Collection<Double>) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
asPrimitiveIntArray(Collection<Integer>) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
assertFinite(double[], String) - Static method in class edu.stanford.nlp.math.ArrayMath
 
asSet(T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Return a Set containing the same elements as the specified array.
asSet(T[]) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns a new Set containing all the objects in the specified array.
assign(Expression) - Method in interface edu.stanford.nlp.ling.tokensregex.types.AssignableExpression
 
assign(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.AssignableFunctionCallExpression
 
assign(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
 
assign(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarExpression
 
AssignableExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
AssignableExpression - Interface in edu.stanford.nlp.ling.tokensregex.types
This interface represents an expression that can be assigned to.
AssignableFunctionCallExpression(String, List<Expression>, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.AssignableFunctionCallExpression
 
AssignableNestedVarExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
AssignableVar(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
 
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
 
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
 
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
 
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
 
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
 
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
Assigns group ids to groups embedded in this patterns starting with at the specified number, returns the next available group id.
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
 
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
 
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
 
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
 
assignIds - Variable in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
 
assignMentionIDs(List<List<Mention>>, int) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
 
AssignmentRule(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
AssignmentRule(AssignableExpression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AssignmentRule
 
assignOriginalID() - Method in class edu.stanford.nlp.dcoref.Document
When there is no mentionID information (without gold annotation), assign mention IDs
assignSyntacticHead(EntityMention, Tree, List<CoreLabel>, boolean) - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
Find the index of the head of an entity.
ASSOCIATIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "associative modifier" (assmod) grammatical relation (Chinese-specific).
asSortedList() - Method in class edu.stanford.nlp.util.Beam
 
asString(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
 
aStringArrToByteArr(String[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
aStringArrToByteArr(String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
aStringArrToByteArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
asValue(Env, Object) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
AT - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
atbFactory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
 
ATBTreeUtils - Class in edu.stanford.nlp.trees.international.arabic
Various static convenience methods for processing Arabic parse trees.
attachedNegatedVerb(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
attachGoldLabels(Tree) - Static method in class edu.stanford.nlp.sentiment.SentimentUtils
 
attachModelToLexicalizedParser() - Method in class edu.stanford.nlp.parser.dvparser.DVParser
 
attributeMap - Variable in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
This stores any optional attributes of ExtractionObjects
attributeMap() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
attributes - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
attributesAgree(Mention, Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
Detects if the mention and candidate antecedent agree on all attributes respectively.
AttributesEqualMatchChecker(Class...) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.AttributesEqualMatchChecker
 
attrs - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
 
AttrValue(Env, Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
augmentedDateChars - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
AUGUST - Static variable in class edu.stanford.nlp.time.SUTime
 
AuthorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AuthorAnnotation
 
AutomatonMinimizer - Interface in edu.stanford.nlp.fsm
 
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "auxiliary" grammatical relation.
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "auxiliary" (aux) grammatical relation.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "passive auxiliary" grammatical relation.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "auxiliary passive" (auxpass) grammatical relation.
auxDataPath - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
auxReader - Variable in class edu.stanford.nlp.ie.machinereading.MachineReading
 
auxTrueCaseModels - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
available() - Method in class edu.stanford.nlp.io.ReaderInputStream
 
average(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
average(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a new Counter with counts averaged from the two given Counters.
averageCount() - Method in class edu.stanford.nlp.stats.IntCounter
Returns the mean of all the counts (totalCount/size).
averagedModels - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
If set to 0, training outputs the last model produced, regardless of its score.
averageModels(Collection<PerceptronModel>) - Method in class edu.stanford.nlp.parser.shiftreduce.PerceptronModel
 
averagePerceptron - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
averageScoredModels(Collection<ScoredObject<PerceptronModel>>) - Method in class edu.stanford.nlp.parser.shiftreduce.PerceptronModel
 
awaitTermination(long, TimeUnit) - Method in class edu.stanford.nlp.util.concurrent.InterruptibleMulticoreWrapper
After a shutdown request, await for the final termination of all threads.

B

BA - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "ba" grammatical relation.
backEdge - Variable in class edu.stanford.nlp.parser.lexparser.Item
 
BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
 
backgroundIndex() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
backgroundNerTag - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
backgroundSymbol() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Returns the background class for the classifier.
backgroundSymbol() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
backgroundSymbol - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
backgroundSymbol - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
backgroundSymbol - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
backgroundSymbol - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
backHook - Variable in class edu.stanford.nlp.parser.lexparser.Edge
 
backingFile - Variable in class edu.stanford.nlp.util.CacheMap
 
backingLabel() - Method in class edu.stanford.nlp.ling.IndexedWord
TODO: would be nice to get rid of this.
backpropDerivative(Tree, List<String>, IdentityHashMap<Tree, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, Map<String, SimpleMatrix>) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
 
backpropDerivative(Tree, List<String>, IdentityHashMap<Tree, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, Map<String, SimpleMatrix>, SimpleMatrix) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
 
backpropLopTraining - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
BackRefPatternExpr(SequencePattern.NodesMatchChecker, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
 
backupFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
 
backupName(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
BagOfWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BagOfWordsAnnotation
 
balance() - Method in class edu.stanford.nlp.util.IntervalTree
 
balance(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
 
BASE_TAGGER_HOME - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
The directory from which to get taggers when using DEFAULT_NLP_GROUP_MODEL_PATH.
BaseLexicon - Class in edu.stanford.nlp.parser.lexparser
This is the default concrete instantiation of the Lexicon interface.
BaseLexicon(Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
BaseLexicon(Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
baseline - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
baselineAnnotationFeatures() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
Features which should be enabled by default.
baselineAnnotationFeatures() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
Features which should be enabled by default.
baselineAnnotationFeatures() - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
Features which should be enabled by default.
BaseModel - Class in edu.stanford.nlp.parser.shiftreduce
 
BaseModel(ShiftReduceOptions, Index<Transition>, Set<String>, Set<String>, Set<String>) - Constructor for class edu.stanford.nlp.parser.shiftreduce.BaseModel
 
BaseModel(BaseModel) - Constructor for class edu.stanford.nlp.parser.shiftreduce.BaseModel
 
baseParserWeight - Variable in class edu.stanford.nlp.parser.lexparser.Options
If reranking sentences, we can use the score from the original parser as well.
baseTestDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
baseTrainDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
BaseUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser
An unknown word model for a generic language.
BaseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, Set<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
BaseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
This constructor creates an UWM with empty data structures.
BaseUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
 
BaseUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModelTrainer
 
basicCategory(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
basicCategory(String) - Method in class edu.stanford.nlp.parser.lexparser.LinearGrammarSmoother
 
basicCategory(String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
 
basicCategory(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns the basic syntactic category of a String.
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
 
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
 
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZHeadFinder
 
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
 
basicCategory(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns the basic syntactic category of a String by truncating stuff after a (non-word-initial) occurrence of one of the labelAnnotationIntroducingCharacters().
basicCategoryTagsInDependencyGrammar - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
Whether basic category tags are in the dependency grammar.
basicCategoryTagsInDependencyGrammar - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Where to use the basic or split tags in the dependency grammar
BasicCategoryTreeTransformer - Class in edu.stanford.nlp.trees
Transforms trees by turning the labels into their basic categories according to the TreebankLanguagePack
BasicCategoryTreeTransformer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.BasicCategoryTreeTransformer
 
BasicCondExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
BasicCoreMapSequenceMatcher(SequencePattern<CoreMap>, CoreMap) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher.BasicCoreMapSequenceMatcher
 
BasicDatum<LabelType,FeatureType> - Class in edu.stanford.nlp.ling
Basic implementation of Datum interface that can be constructed with a Collection of features and one more more labels.
BasicDatum(Collection<FeatureType>, Collection<LabelType>) - Constructor for class edu.stanford.nlp.ling.BasicDatum
Constructs a new BasicDatum with the given features and labels.
BasicDatum(Collection<FeatureType>, LabelType) - Constructor for class edu.stanford.nlp.ling.BasicDatum
Constructs a new BasicDatum with the given features and label.
BasicDatum(Collection<FeatureType>) - Constructor for class edu.stanford.nlp.ling.BasicDatum
Constructs a new BasicDatum with the given features and no labels.
BasicDatum() - Constructor for class edu.stanford.nlp.ling.BasicDatum
Constructs a new BasicDatum with no features or labels.
BasicDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.BasicDependenciesAnnotation
 
BasicDocument<L> - Class in edu.stanford.nlp.ling
Basic implementation of Document that should be suitable for most needs.
BasicDocument() - Constructor for class edu.stanford.nlp.ling.BasicDocument
Constructs a new (empty) BasicDocument using a PTBTokenizer.
BasicDocument(TokenizerFactory<Word>) - Constructor for class edu.stanford.nlp.ling.BasicDocument
Constructs a new (empty) BasicDocument using the given tokenizer.
BasicDocument(Document<L, Word, Word>) - Constructor for class edu.stanford.nlp.ling.BasicDocument
 
BasicDocument(Collection<Word>) - Constructor for class edu.stanford.nlp.ling.BasicDocument
 
BasicEntityExtractor - Class in edu.stanford.nlp.ie.machinereading
Uses parsed files to train classifier and test on data set.
BasicEntityExtractor(String, boolean, Set<String>, boolean, EntityMentionFactory, boolean) - Constructor for class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
BasicFeatureFactory - Class in edu.stanford.nlp.parser.shiftreduce
 
BasicFeatureFactory() - Constructor for class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
 
BasicMatchReplacement(T...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.BasicMatchReplacement
 
BasicMatchReplacement(List<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.BasicMatchReplacement
 
BasicRelationExtractor - Class in edu.stanford.nlp.ie.machinereading
 
BasicRelationExtractor(RelationFeatureFactory, Boolean, RelationMentionFactory) - Constructor for class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
BasicRelationFeatureFactory - Class in edu.stanford.nlp.ie.machinereading
 
BasicRelationFeatureFactory(String...) - Constructor for class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
 
BasicSequenceExtractRule(MatchedExpression.SingleAnnotationExtractor) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.BasicSequenceExtractRule
 
BasicSequenceMatchResult<T> - Class in edu.stanford.nlp.ling.tokensregex
Basic results for a Sequence Match
BasicSequenceMatchResult() - Constructor for class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
BasicSequenceMatchResult.MatchedGroup - Class in edu.stanford.nlp.ling.tokensregex
 
BasicSequencePatternTrigger(MultiPatternMatcher.NodePatternTrigger<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher.BasicSequencePatternTrigger
 
BasicValue(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
batchProcessSents - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Use this option if you are limited by memory ; ignored if fileFormat is ser.
batchSize - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
batchSize - Variable in class edu.stanford.nlp.parser.nndep.Config
Size of mini-batch for training.
batchSize - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
 
Beam<T> - Class in edu.stanford.nlp.util
Implements a finite beam, taking a comparator (default is ScoredComparator.ASCENDING_COMPARATOR, the MAX object according to the comparator is the one to be removed) and a beam size on construction (default is 100).
Beam() - Constructor for class edu.stanford.nlp.util.Beam
 
Beam(int) - Constructor for class edu.stanford.nlp.util.Beam
 
Beam(int, Comparator<? super T>) - Constructor for class edu.stanford.nlp.util.Beam
 
BeamBestSequenceFinder - Class in edu.stanford.nlp.sequences
A class capable of computing the best sequence given a SequenceModel.
BeamBestSequenceFinder(int) - Constructor for class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
BeamBestSequenceFinder(int, boolean) - Constructor for class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
BeamBestSequenceFinder(int, boolean, boolean) - Constructor for class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
beamPrintingOption - Variable in class edu.stanford.nlp.pipeline.AnnotationOutputter.Options
 
beamSize - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTestOptions
 
beamSize - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
 
beamSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
BeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeAnnotation
 
beAuxiliaryRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
before(AceEntityMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
Verifies if this mention appears before the parameter in textual order
before() - Method in class edu.stanford.nlp.ling.CoreLabel
before() - Method in interface edu.stanford.nlp.ling.HasContext
 
BeforeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation
 
begin() - Method in class edu.stanford.nlp.time.SUTime.Range
 
BeginIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeginIndexAnnotation
 
beginPoint() - Method in class edu.stanford.nlp.time.Timex
 
beginPosition() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the beginning character offset of the label (or -1 if none).
beginPosition() - Method in interface edu.stanford.nlp.ling.HasOffset
Return the beginning character offset of the label (or -1 if none).
beginPosition() - Method in class edu.stanford.nlp.ling.IndexedWord
 
beginPosition() - Method in class edu.stanford.nlp.ling.StringLabel
 
BeginSymbol - Static variable in class edu.stanford.nlp.international.arabic.process.IOBUtils
 
beginTime() - Method in class edu.stanford.nlp.time.SUTime.Range
 
belongToLists - Variable in class edu.stanford.nlp.dcoref.Mention
Set of other mentions in the same sentence that I am a member of
belowLineSkip - Static variable in class edu.stanford.nlp.parser.ui.TreeJPanel
 
berkeleyAlignerLoadPath - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
best() - Method in class edu.stanford.nlp.util.EditDistance
 
BestCliquesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestCliquesAnnotation
 
BestFullAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestFullAnnotation
 
BestOfTopKEval - Class in edu.stanford.nlp.parser.metrics
Applies an AbstractEval to a list of trees to pick the best tree using F1 measure.
BestOfTopKEval(AbstractEval, AbstractEval) - Constructor for class edu.stanford.nlp.parser.metrics.BestOfTopKEval
 
bestScore - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
bestSequence(SequenceModel, int) - Method in class edu.stanford.nlp.sequences.BeamBestSequenceFinder
 
bestSequence(SequenceModel) - Method in interface edu.stanford.nlp.sequences.BestSequenceFinder
Finds the best sequence for the sequence model based on its scoring.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.ExactBestSequenceFinder
Runs the Viterbi algorithm on the sequence model given by the TagScorer in order to find the best sequence.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.KBestSequenceFinder
Runs the Viterbi algorithm on the sequence model in order to find the best sequence.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Finds the best sequence by collecting numSamples samples, scoring them, and then choosing the highest scoring sample.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.SequenceSampler
Samples each label in turn from left to right.
BestSequenceFinder - Interface in edu.stanford.nlp.sequences
An interface for classes capable of computing the best sequence given a SequenceModel.
bestSequenceWithLinearConstraints(SequenceModel, double[][]) - Static method in class edu.stanford.nlp.sequences.ExactBestSequenceFinder
 
better(double, double) - Static method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
better(double, double) - Method in class edu.stanford.nlp.util.EditDistance
 
bg - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
bg - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
bg - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
biAlignmentPriorIsPMI - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
BiasedLogConditionalObjectiveFunction - Class in edu.stanford.nlp.classify
Maximizes the conditional likelihood with a given prior.
BiasedLogConditionalObjectiveFunction(GeneralDataset<?, ?>, double[][]) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
BiasedLogConditionalObjectiveFunction(GeneralDataset<?, ?>, double[][], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
BiasedLogConditionalObjectiveFunction(int, int, int[][], int[], double[][]) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
BiasedLogConditionalObjectiveFunction(int, int, int[][], int[], double[][], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
BiasedLogisticObjectiveFunction - Class in edu.stanford.nlp.classify
 
BiasedLogisticObjectiveFunction(int, int[][], int[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
BiasedLogisticObjectiveFunction(int, int[][], int[], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
BiasedLogisticObjectiveFunction(int, int[][], int[], float[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
BiasedLogisticObjectiveFunction(int, int[][], int[], LogPrior, float[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
BiasedLogisticObjectiveFunction(int, int[][], double[][], int[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
BiasedLogisticObjectiveFunction(int, int[][], double[][], int[], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
BiasedLogisticObjectiveFunction(int, int[][], double[][], int[], LogPrior, float[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
biasedTrainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
bigramLM - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
BikelChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese
A headfinder implementing Dan Bikel's head rules.
BikelChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.BikelChineseHeadFinder
 
BikelChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.BikelChineseHeadFinder
 
bikelHeadFinder - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
BiLexPCFGParser - Class in edu.stanford.nlp.parser.lexparser
Implements Eisner and Satta style algorithms for bilexical PCFG parsing.
BiLexPCFGParser(Scorer, ExhaustivePCFGParser, ExhaustiveDependencyParser, BinaryGrammar, UnaryGrammar, DependencyGrammar, Lexicon, Options, Index<String>, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
BiLexPCFGParser.N5BiLexPCFGParser - Class in edu.stanford.nlp.parser.lexparser
 
bilinearProducts(SimpleMatrix) - Method in class edu.stanford.nlp.neural.SimpleTensor
Returns a column vector where each entry is the nth bilinear product of the nth slices of the two tensors.
BINARIZED_TREES_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
The Stanford Parser can produce this if it is specifically requested
BinarizedTreeAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.BinarizedTreeAnnotation
 
BinarizerAnnotator - Class in edu.stanford.nlp.pipeline
This annotator takes unbinarized trees (from the parser annotator or elsewhere) and binarizes them in the attachment.
BinarizerAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.BinarizerAnnotator
 
binarizeTreebank(Treebank, Options) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
BINARY_APPROXIMATE_EQUIVALENCE_CLASSES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
 
BINARY_DEFAULT_CLASS_NAMES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
 
binaryClassification - Variable in class edu.stanford.nlp.sentiment.SentimentModel
CxN+1, where N = size of word vectors, C is the number of classes
binaryClassificationSize - Variable in class edu.stanford.nlp.sentiment.SentimentModel
How many elements a classification matrix has
BinaryGrammar - Class in edu.stanford.nlp.parser.lexparser
Maintains efficient indexing of binary grammar rules.
BinaryGrammar(Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryGrammar
 
BinaryGrammarExtractor - Class in edu.stanford.nlp.parser.lexparser
 
BinaryGrammarExtractor(Options, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryGrammarExtractor
 
BinaryHeadFinder - Class in edu.stanford.nlp.parser.lexparser
 
BinaryHeadFinder() - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryHeadFinder
 
BinaryHeadFinder(HeadFinder) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryHeadFinder
 
BinaryHeapPriorityQueue<E> - Class in edu.stanford.nlp.util
PriorityQueue with explicit double priority values.
BinaryHeapPriorityQueue() - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
BinaryHeapPriorityQueue(int) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
BinaryHeapPriorityQueue(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
BinaryHeapPriorityQueue(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>, int) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
BinaryRule - Class in edu.stanford.nlp.parser.lexparser
Binary rules (ints for parent, left and right children)
BinaryRule(int, int, int) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryRule
Create a new BinaryRule with the parent and children coded as ints.
BinaryRule(int, int, int, double) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryRule
 
BinaryRule(String, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryRule
Creates a BinaryRule from String s, assuming it was created using toString().
binaryScore - Variable in class edu.stanford.nlp.parser.dvparser.DVModel
 
binaryScoreIndex(String, String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
binaryTensors - Variable in class edu.stanford.nlp.sentiment.SentimentModel
2Nx2NxN, where N is the size of the word vectors
binaryTensorSize - Variable in class edu.stanford.nlp.sentiment.SentimentModel
How many elements the binary transformation tensors have
binaryTransform - Variable in class edu.stanford.nlp.parser.dvparser.DVModel
 
binaryTransform - Variable in class edu.stanford.nlp.sentiment.SentimentModel
Nx2N+1, where N is the size of the word vectors
binaryTransformIndex(String, String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
binaryTransformSize - Variable in class edu.stanford.nlp.sentiment.SentimentModel
How many elements a transformation matrix has
BinaryTransition - Class in edu.stanford.nlp.parser.shiftreduce
Transition that makes a binary parse node in a partially finished tree.
BinaryTransition(String, BinaryTransition.Side) - Constructor for class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
 
BinaryTransition.Side - Enum in edu.stanford.nlp.parser.shiftreduce
 
bind(String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
bind(String, SequencePattern) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
bind(Env) - Method in interface edu.stanford.nlp.ling.tokensregex.Env.Binder
 
bind(Env) - Method in class edu.stanford.nlp.time.JollyDayHolidays
 
bindStringRegex(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
binnedLengths - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
bioSubmitOutput - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
bisequenceAlignmentPriorPenaltyCh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
bisequenceAlignmentPriorPenaltyEn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
bisequenceAlignmentTestOutput - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
bisequenceClassifierPropCh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
bisequenceClassifierPropEn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
bisequencePriorType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
bisequenceTestAlignmentFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
bisequenceTestFileCh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
bisequenceTestFileEn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
bisequenceTestOutputCh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
bisequenceTestOutputEn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
BLACK - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
blankDocument() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns a new empty BasicDocument with the same title, labels, and tokenizer as this Document.
blankDocument() - Method in interface edu.stanford.nlp.ling.Document
Returns a new empty Document with the same meta-data (title, labels, etc) as this Document.
BLINK - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
Block<E> - Interface in edu.stanford.nlp.fsm
 
BLOCK - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
block(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
parens
blockInitialize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
blockTags - Static variable in class edu.stanford.nlp.process.StripTagsProcessor
Block-level HTML tags that are rendered with surrounding line breaks.
BLUE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
BobChrisTreeNormalizer - Class in edu.stanford.nlp.trees
Normalizes trees in the way used in Manning and Carpenter 1997.
BobChrisTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
BobChrisTreeNormalizer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
BobChrisTreeNormalizer.AOverAFilter - Class in edu.stanford.nlp.trees
 
BobChrisTreeNormalizer.EmptyFilter - Class in edu.stanford.nlp.trees
 
BOLD - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
booleanArrToByteArr(boolean[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
booleanArrToByteArr(boolean[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
booleanArrToByteArr(byte[], int, boolean[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
booleanFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
BooleanFunction(String, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
 
BooleanFunction(String, int, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
 
BoundAction() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BoundAction
 
BOUNDARY - Static variable in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
BOUNDARY - Static variable in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
BOUNDARY_TAG - Static variable in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
BoundaryRemover - Class in edu.stanford.nlp.parser.lexparser
Removes a boundary symbol (Lexicon.BOUNDARY_TAG or Lexicon.BOUNDARY), which is the rightmost daughter of a tree.
BoundaryRemover() - Constructor for class edu.stanford.nlp.parser.lexparser.BoundaryRemover
 
BOUNDED_RANGE - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
 
BoundedCostOrderedMap<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher
Map that is sorted by cost - keep lowest scores When deciding what item to keep with the same cost, ties are arbitrarily broken
BoundedCostOrderedMap(Function<V, Double>, int, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
box(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
box(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
BracketedNode(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
branch(RedwoodConfiguration.Thunk...) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Send any incoming messages multiple ways.
BranchAction(Predicate<SequenceMatchResult<T>>, SequenceMatchAction<T>, SequenceMatchAction<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BranchAction
 
breakingTags - Static variable in class edu.stanford.nlp.util.XMLUtils
Block-level HTML tags that are rendered with surrounding line breaks.
bSize - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
bSize - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
bSize - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
Buckwalter - Class in edu.stanford.nlp.international.arabic
This class can convert between Unicode and Buckwalter encodings of Arabic.
Buckwalter() - Constructor for class edu.stanford.nlp.international.arabic.Buckwalter
 
Buckwalter(boolean) - Constructor for class edu.stanford.nlp.international.arabic.Buckwalter
 
buckwalterToUnicode(String) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
 
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
 
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
 
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
 
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
 
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
 
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
 
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
 
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
 
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
 
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
 
build() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
 
build(List<TypedDependency>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure.FromDependenciesFactory
 
build(List<TypedDependency>, TreeGraphNode) - Method in interface edu.stanford.nlp.trees.GrammaticalStructureFromDependenciesFactory
 
build(List<TypedDependency>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure.FromDependenciesFactory
 
BuildBinarizedDataset - Class in edu.stanford.nlp.sentiment
 
BuildBinarizedDataset() - Constructor for class edu.stanford.nlp.sentiment.BuildBinarizedDataset
 
buildCoNLLXGrammaticalStructure(List<List<String>>) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
 
buildCoNLLXGrammaticalStructure(List<List<String>>, Map<String, GrammaticalRelation>, GrammaticalStructureFromDependenciesFactory) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
 
buildCoNLLXGrammaticalStructure(List<List<String>>) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
 
buildFA(List<String>) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
 
buildGrammars() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
buildMinimizedFA() - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
buildOFilter() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
buildOScore(Hook) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
buildQueryText(List<String>) - Static method in class edu.stanford.nlp.dcoref.Mention
 
buildRelationExtractorMerger(String[]) - Static method in class edu.stanford.nlp.ie.machinereading.ExtractorMerger
 
buildSaxInterface() - Method in class edu.stanford.nlp.process.TransformXML
 
buildStateIndex() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
buildThreadPool(int) - Method in class edu.stanford.nlp.util.concurrent.InterruptibleMulticoreWrapper
 
buildThreadPool(int) - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
 
buildTrainBinarizer(Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
buildTrainingOptions(String, String[]) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
buildTrainTransformer(Options) - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
 
buildTrainTransformer(Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
buildTrainTransformer(Options, TreeAnnotatorAndBinarizer) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
buildUWM() - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModelTrainer
 
buildUWM() - Method in class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModelTrainer
 
builtEdges - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
builtHooks - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
ByFirstPairComparator() - Constructor for class edu.stanford.nlp.util.Pair.ByFirstPairComparator
 
ByFirstReversePairComparator() - Constructor for class edu.stanford.nlp.util.Pair.ByFirstReversePairComparator
 
BySecondPairComparator() - Constructor for class edu.stanford.nlp.util.Pair.BySecondPairComparator
 
BySecondReversePairComparator() - Constructor for class edu.stanford.nlp.util.Pair.BySecondReversePairComparator
 
byteArrToAString(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToAString(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToAStringArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToAStringArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToAStringArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToBoolean(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToBooleanArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToBooleanArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToBooleanArr(byte[], int, boolean[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToChar(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToCharArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToCharArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToCharArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToDouble(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToDoubleArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
This method allocates a new double[] to return, based on the size of the array b (namely b.length / 8 in size)
byteArrToDoubleArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToDoubleArr(byte[], int, double[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToFloat(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToFloatArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToFloatArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToFloatArr(byte[], int, float[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToInt(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToIntArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToIntArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToIntArr(byte[], int, int[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToLong(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToLongArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToLongArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToLongArr(byte[], int, long[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToShort(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToShortArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToShortArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToShortArr(byte[], int, short[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToUString(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToUString(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToUStringArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToUStringArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
byteArrToUStringArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
ByteStreamGobbler - Class in edu.stanford.nlp.util
Stream Gobbler that read and write bytes (can be used to gobble byte based stdout from a process.exec into a file)
ByteStreamGobbler(InputStream, OutputStream) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
 
ByteStreamGobbler(String, InputStream, OutputStream) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
 
ByteStreamGobbler(String, InputStream, OutputStream, int) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
 
byteValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
byteValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
byteValue() - Method in class edu.stanford.nlp.util.MutableLong
 
BZip2PipedOutputStream - Class in edu.stanford.nlp.io
Opens a outputstream for writing into a bzip2 file by piping into the bzip2 command.
BZip2PipedOutputStream(String) - Constructor for class edu.stanford.nlp.io.BZip2PipedOutputStream
 
BZip2PipedOutputStream(String, OutputStream) - Constructor for class edu.stanford.nlp.io.BZip2PipedOutputStream
 

C

C - Variable in class edu.stanford.nlp.classify.SVMLightClassifierFactory
C can be tuned using held-out set or cross-validation For binary SVM, if C=0, svmlight uses default of 1/(avg x*x)
c - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
The underlying Collection of input sources.
CacheMap<K,V> - Class in edu.stanford.nlp.util
A fixed size hash map with LRU replacement.
CacheMap(int, float, boolean, String) - Constructor for class edu.stanford.nlp.util.CacheMap
Constructor.
CacheMap(int, float, boolean) - Constructor for class edu.stanford.nlp.util.CacheMap
 
CacheMap(int, float) - Constructor for class edu.stanford.nlp.util.CacheMap
 
CacheMap(int) - Constructor for class edu.stanford.nlp.util.CacheMap
 
cacheNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
CacheParseHypotheses - Class in edu.stanford.nlp.parser.dvparser
 
CacheParseHypotheses(LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
 
calculate(double[]) - Method in class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
Calculate the conditional likelihood.
calculate(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
calculate(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
calculate(double[]) - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
 
calculate(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Calculate the conditional likelihood.
calculate(double[]) - Method in class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
calculate(double[]) - Method in class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
 
calculate(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionWithDropout
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
Calculates both value and partial derivatives at the point x, and save them internally.
calculate(float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
Calculate the value at x and the derivative and save them in the respective fields
calculate(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
Calculate the value at x and the derivative and save them in the respective fields.
calculate(double[]) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
 
calculate(double[]) - Method in class edu.stanford.nlp.sentiment.SentimentCostAndGradient
 
calculateHeadSpan - Variable in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
If true, sets the head span to match the syntactic head of the extent.
calculatePrecision(Document) - Method in class edu.stanford.nlp.dcoref.CorefScorer
 
calculatePrecision(Document) - Method in class edu.stanford.nlp.dcoref.ScorerBCubed
 
calculatePrecision(Document) - Method in class edu.stanford.nlp.dcoref.ScorerMUC
 
calculatePrecision(Document) - Method in class edu.stanford.nlp.dcoref.ScorerPairwise
 
calculateProbs(double[][][]) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
calculateProbs puts log probs of taggings in the probabilities array.
calculateRecall(Document) - Method in class edu.stanford.nlp.dcoref.CorefScorer
 
calculateRecall(Document) - Method in class edu.stanford.nlp.dcoref.ScorerBCubed
 
calculateRecall(Document) - Method in class edu.stanford.nlp.dcoref.ScorerMUC
 
calculateRecall(Document) - Method in class edu.stanford.nlp.dcoref.ScorerPairwise
 
calculateRVF(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
calculateRVF(double[]) - Method in class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
calculateScore(Document) - Method in class edu.stanford.nlp.dcoref.CorefScorer
 
calculatesHessianVectorProduct() - Method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
 
calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
This function is used to come up with an estimate of the value / gradient based on only a small portion of the data (referred to as the batchSize for lack of a better term.
calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
calculateStochastic(double[], double[], int[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
calculateStochastic needs to calculate a stochastic approximation to the derivative and value of of a function for a given batch of the data.
calculateStochasticAlgorithmicDifferentiation(double[], double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
calculateStochasticFiniteDifference(double[], double[], double, int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
calculateStochasticGradient(double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
calculateStochasticGradient(double[], int[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
Performs stochastic gradient update based on samples indexed by batch, but does not apply regularization.
calculateStochasticGradient(double[], int[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
Performs stochastic gradient calculation based on samples indexed by batch and do not apply regularization.
calculateStochasticGradient(double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
Performs stochastic gradient updates based on samples indexed by batch and do not apply regularization.
calculateStochasticGradientLocal(double[], int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
calculateStochasticUpdate(double[], double, int[], double) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
calculateStochasticUpdate(double[], double, int[], double) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
Performs stochastic update of weights x (scaled by xScale) based on samples indexed by batch.
calculateStochasticUpdate(double[], double, int[], double) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
Performs stochastic update of weights x (scaled by xScale) based on samples indexed by batch.
calculateStochasticUpdate(double[], double, int, double) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
Performs stochastic update of weights x (scaled by xScale) based on next batch of batchSize.
calculateWeird1(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
CalendarAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CalendarAnnotation
 
call() - Method in class edu.stanford.nlp.patterns.surface.ApplyPatterns
 
call() - Method in class edu.stanford.nlp.patterns.surface.CreatePatterns.CreatePatternsThread
 
call() - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass.LabelWithSeedWords
 
CALL_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
canAddArc(Object, Object, Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
canApply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
 
canApply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
Determine whether the given transition is legal for this configuration.
canChangeEncoding(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
canChangeEncoding(String, String) - Method in interface edu.stanford.nlp.trees.treebank.Mapper
Indicates whether child can be converted to another encoding.
CandidatePartOfSpeechAnnotation() - Constructor for class edu.stanford.nlp.parser.common.ParserAnnotations.CandidatePartOfSpeechAnnotation
 
canReach(Configuration, DependencyTree) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
 
capacity() - Method in class edu.stanford.nlp.util.Beam
 
capitalize(String) - Static method in class edu.stanford.nlp.util.StringUtils
Uppercases the first character of a string.
capture(OutputStream) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Capture a system stream
captureSystemStreams(boolean, boolean) - Static method in class edu.stanford.nlp.util.logging.Redwood
Captures System.out and System.err and redirects them to Redwood logging.
CASE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "case" grammatical relation.
CASE_ALLCAPS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
CASE_ALLCAPSORDOTS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
CASE_ALLDIGITS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
CASE_ALLDIGITSORDOTS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
CASE_CAPINI - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
CASE_INCAP - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
CASE_INSENSITIVE - Static variable in class edu.stanford.nlp.ling.tokensregex.NodePattern
 
CASE_OTHER - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
casedDistSim - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Whether to (not) lowercase tokens before looking them up in distsim lexicon.
CaseExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
CaseExpression(List<Pair<Expression, Expression>>, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.CaseExpression
 
caseInsensitive - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
cast(Iterable<?>, Class<? extends T>) - Static method in class edu.stanford.nlp.util.Iterables
Casts all values in the given Iterable to the given type.
cast(String, Type) - Static method in class edu.stanford.nlp.util.MetaClass
Cast a String representation of an object into that object.
castToInt(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
castWithoutKnowingType(String) - Static method in class edu.stanford.nlp.util.MetaClass
 
category() - Method in class edu.stanford.nlp.ling.CategoryWordTag
 
category() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the category value of the label (or null if none).
category() - Method in interface edu.stanford.nlp.ling.HasCategory
Return the category value of the label (or null if none).
categoryAndFunction(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns the syntactic category and 'function' of a String.
categoryAndFunction(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns the syntactic category and 'function' of a String.
CategoryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation
 
CategoryFunctionalTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation
 
CategoryWordTag - Class in edu.stanford.nlp.ling
A CategoryWordTag object acts as a complex Label which contains a category, a head word, and a tag.
CategoryWordTag() - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
 
CategoryWordTag(String) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
This one argument constructor sets just the value.
CategoryWordTag(String, String, String) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
 
CategoryWordTag(Label) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
Creates a new CategoryWordTag label from an existing label.
CategoryWordTagFactory - Class in edu.stanford.nlp.ling
A CategoryWordTagFactory is a factory that makes a Label which is a CategoryWordTag triplet.
CategoryWordTagFactory() - Constructor for class edu.stanford.nlp.ling.CategoryWordTagFactory
 
CatErrorEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
 
CBEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.Evalb.CBEval
 
cCommands(Tree, Tree) - Method in class edu.stanford.nlp.trees.Tree
Given nodes t1 and t2 which are dominated by this node, returns true iff t1 c-commands t2.
ccompObjVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
ccompVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
CCtransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
Transforms t if it contains a coordination in a flat structure
CEDict - Class in edu.stanford.nlp.trees.international.pennchinese
 
Centuries - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
CENTURY - Static variable in class edu.stanford.nlp.time.SUTime
 
cf - Variable in class edu.stanford.nlp.util.CollectionValuedMap
 
cf - Variable in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
 
CGMinimizer - Class in edu.stanford.nlp.optimization
Conjugate-gradient implementation based on the code in Numerical Recipes in C.
CGMinimizer() - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
Basic constructor, use this.
CGMinimizer(boolean) - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
Pass in false to get per-iteration progress reports (to stderr).
CGMinimizer(Function) - Constructor for class edu.stanford.nlp.optimization.CGMinimizer
Perform minimization with monitoring.
CGRunner - Class in edu.stanford.nlp.maxent
This class will call an optimization method such as Conjugate Gradient or Quasi-Newton on a LambdaSolve object to find optimal parameters, including imposing a Gaussian prior on those parameters.
CGRunner(LambdaSolve, String) - Constructor for class edu.stanford.nlp.maxent.CGRunner
Set up a LambdaSolve problem for solution by a Minimizer.
CGRunner(LambdaSolve, String, double) - Constructor for class edu.stanford.nlp.maxent.CGRunner
Set up a LambdaSolve problem for solution by a Minimizer, specifying a value for sigma2.
CGRunner(LambdaSolve, String, double, double) - Constructor for class edu.stanford.nlp.maxent.CGRunner
Set up a LambdaSolve problem for solution by a Minimizer.
CGRunner(LambdaSolve, String, double, double[]) - Constructor for class edu.stanford.nlp.maxent.CGRunner
Set up a LambdaSolve problem for solution by a Minimizer.
chain(Comparator<? super T>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.Comparators
Returns a new Comparator which is the result of chaining the given Comparators.
chain(List<Comparator<? super T>>) - Static method in class edu.stanford.nlp.util.Comparators
Returns a new Comparator which is the result of chaining the given Comparators.
chain(Comparator<? super T>...) - Static method in class edu.stanford.nlp.util.Comparators
 
chain(Iterable<? extends Iterable<T>>) - Static method in class edu.stanford.nlp.util.Iterables
Chains together a set of Iterables of compatible types.
chain(Iterable<T>...) - Static method in class edu.stanford.nlp.util.Iterables
Chains together all Iterables of type T as given in an array or varargs parameter.
chain(T[]...) - Static method in class edu.stanford.nlp.util.Iterables
Chains together all arrays of type T[] as given in an array or varargs parameter.
chain(LogRecordHandler[], RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Apply each of the handlers to incoming log messages, in sequence.
chain(LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
 
chain(LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
 
chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
 
chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
 
chain(LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, LogRecordHandler, RedwoodConfiguration.Thunk) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
 
changeFeatureIndex(Index<F>) - Method in class edu.stanford.nlp.classify.Dataset
 
changeLabelIndex(Index<L>) - Method in class edu.stanford.nlp.classify.Dataset
 
changePriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Changes a priority, either up or down, adding the key it if it wasn't there already.
changePriority(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Not supported in this implementation.
changePriority(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue
Changes a priority, either up or down, adding the key it if it wasn't there already.
channelColors - Variable in class edu.stanford.nlp.util.logging.OutputHandler
 
channels(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
Create an object representing a group of channels.
channels() - Method in class edu.stanford.nlp.util.logging.Redwood.Record
Returns the channels for this record, in sorted order (special channels first, then alphabetical)
channels(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
Creates a new RedwoodChannels object, concatenating the channels from this RedwoodChannels with some additional channels.
channels(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
channelSeparatorChar - Variable in class edu.stanford.nlp.util.logging.OutputHandler
Character used to join multiple channel names
channelStyles - Variable in class edu.stanford.nlp.util.logging.OutputHandler
 
channelWidth(int) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Set the width of the channels (or 0 to not show channels)
CharacterOffsetBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetBeginAnnotation
 
CharacterOffsetEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEndAnnotation
 
characters(char[], int, int) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
 
Characters - Class in edu.stanford.nlp.util
Character-level utilities.
CharactersAnnotation() - Constructor for class edu.stanford.nlp.ling.ChineseCoreAnnotations.CharactersAnnotation
 
CharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharAnnotation
 
charArrToByteArr(char[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
charArrToByteArr(char[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
charArrToByteArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
charHalfWindow - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
CharniakParser - Class in edu.stanford.nlp.parser.charniak
Runs charniak parser using command line
CharniakParser() - Constructor for class edu.stanford.nlp.parser.charniak.CharniakParser
 
CharniakParser(String, String) - Constructor for class edu.stanford.nlp.parser.charniak.CharniakParser
 
CharniakParserAnnotator - Class in edu.stanford.nlp.pipeline
This class will add parse information to an Annotation from the BLLIP parser.
CharniakParserAnnotator(String, String, boolean, int) - Constructor for class edu.stanford.nlp.pipeline.CharniakParserAnnotator
 
CharniakParserAnnotator() - Constructor for class edu.stanford.nlp.pipeline.CharniakParserAnnotator
 
CharniakScoredParsesReaderWriter - Class in edu.stanford.nlp.parser.charniak
Utility routines for printing/reading scored parses for the Charniak Parser
CharniakScoredParsesReaderWriter() - Constructor for class edu.stanford.nlp.parser.charniak.CharniakScoredParsesReaderWriter
 
charOffsets - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
Character offsets (relative to original text).
chart - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
charTags - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
cheatPCFG - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Add all test set trees to training data for PCFG.
check() - Method in class edu.stanford.nlp.util.IntervalTree
 
check(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
 
checkArgs(List<Value>) - Method in interface edu.stanford.nlp.ling.tokensregex.types.ValueFunction
Checks if the arguments are valid
checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
 
checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
 
checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
 
checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
 
checkArgs(List<Value>) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.TypeCheckedFunction
 
checkClusters(Logger, String, Document) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
checkConstructor(Object...) - Method in class edu.stanford.nlp.util.MetaClass
 
checkCorrectness() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Check whether the constraints are satisfied, the probabilities sum to one, etc.
checkCorrectness() - Method in class edu.stanford.nlp.tagger.maxent.LambdaSolveTagger
Works out whether the model expectations match the empirical expectations.
checkCrossing(Set<Constituent>, Set<Constituent>) - Method in class edu.stanford.nlp.parser.metrics.Evalb.CBEval
 
checkDic(String, SeqClassifierFlags) - Method in class edu.stanford.nlp.wordseg.NonDict2
 
checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Method in class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve
 
checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Method in class edu.stanford.nlp.dcoref.sievepasses.NameMatch
 
checkError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
checkFlagExclusiveSet(int, int, int) - Static method in class edu.stanford.nlp.util.Interval
Utility function to check if a particular flag is set exclusively given a particular set of flags and a mask.
checkFlagSet(int, int) - Static method in class edu.stanford.nlp.util.Interval
Utility function to check if a particular flag is set given a particular set of flags.
checkGradient - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
checkMultipleBitSet(int) - Static method in class edu.stanford.nlp.util.Interval
Utility function to check if multiple bits are set for flags
checkNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
checkOffsets(CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Checks if offsets of doc and sentence matches
checkProperties(Properties, Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Checks to make sure that all properties specified in properties are known to the program by checking that each simply overrides a default value.
checkRequiredProperties(Properties, String...) - Static method in class edu.stanford.nlp.util.StringUtils
If any of the given list of properties are not found, returns the name of that property.
checkWordListMatch(PhraseTable.Phrase, PhraseTable.WordList, int, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
child - Variable in class edu.stanford.nlp.parser.lexparser.UnaryRule
 
childFilteredEval(String, boolean, TreebankLanguagePack, String) - Static method in class edu.stanford.nlp.parser.metrics.FilteredEval
Returns an eval which is good for counting the attachment of specific node types.
childPairs(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a list of pairs of a relation name and the child IndexedFeatureLabel that bears that relation.
childRelns(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a list of relations which this node has with its children.
children - Variable in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
Child tries
children() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Returns an array of children for the current node, or null if it is a leaf.
children() - Method in class edu.stanford.nlp.trees.SimpleTree
Returns an array of children for the current node, or null if it is a leaf.
children() - Method in class edu.stanford.nlp.trees.Tree
Returns an array of children for the current node.
children - Variable in class edu.stanford.nlp.trees.TreeGraphNode
Children of this node.
children() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Returns an array of the children of this node.
children() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
ChildrenAnnotation() - Constructor for class edu.stanford.nlp.time.TimeExpression.ChildrenAnnotation
 
childTab - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel.WidthResult
 
CHINESE - Static variable in class edu.stanford.nlp.swing.FontDetector
 
ChineseCharacterBasedLexicon - Class in edu.stanford.nlp.parser.lexparser
 
ChineseCharacterBasedLexicon(ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
ChineseCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseCharAnnotation
 
ChineseCollinizer - Class in edu.stanford.nlp.trees.international.pennchinese
Performs collinization operations on Chinese trees similar to those for English Namely: strips all functional & automatically-added tags strips all punctuation merges PRN and ADVP eliminates ROOT (note that there are a few non-unary ROOT nodes; these are not eliminated)
ChineseCollinizer(ChineseTreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
 
ChineseCollinizer(ChineseTreebankLanguagePack, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
 
chineseColonAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseCommaAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
ChineseCoreAnnotations - Class in edu.stanford.nlp.ling
 
ChineseCoreAnnotations.CharactersAnnotation - Class in edu.stanford.nlp.ling
 
chineseDashAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
ChineseDictionary - Class in edu.stanford.nlp.wordseg
This class provides a main method that loads various dictionaries, and saves them in a serialized version, and runtime compiles them into a word list used as a feature in the segmenter.
ChineseDictionary(String) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
 
ChineseDictionary(String[]) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
 
ChineseDictionary(String[], ChineseDocumentToSentenceProcessor) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
 
ChineseDictionary(String, ChineseDocumentToSentenceProcessor, boolean) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
The first argument can be one file path, or multiple files separated by commas
ChineseDictionary(String[], ChineseDocumentToSentenceProcessor, boolean) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
 
ChineseDocumentToSentenceProcessor - Class in edu.stanford.nlp.process
Convert a Chinese Document into a List of sentence Strings.
ChineseDocumentToSentenceProcessor() - Constructor for class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor
 
ChineseDocumentToSentenceProcessor(String) - Constructor for class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor
 
chineseDouHaoAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseEndSentenceAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
ChineseEnglishWordMap - Class in edu.stanford.nlp.trees.international.pennchinese
A class for mapping Chinese words to English.
ChineseEnglishWordMap() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
Make a ChineseEnglishWordMap with a default CEDict path.
ChineseEnglishWordMap(String) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
Make a ChineseEnglishWordMap
ChineseEnglishWordMap(String, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
Make a ChineseEnglishWordMap
ChineseEnglishWordMap(String, String, String, String) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
 
ChineseEnglishWordMap(String, String, String, String, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
 
ChineseEscaper - Class in edu.stanford.nlp.trees.international.pennchinese
An Escaper for Chinese normalization to match Treebank.
ChineseEscaper() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEscaper
 
ChineseGrammaticalRelations - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalRelations is a set of GrammaticalRelation objects for the Chinese language.
ChineseGrammaticalStructure - Class in edu.stanford.nlp.trees.international.pennchinese
A GrammaticalStructure for Chinese.
ChineseGrammaticalStructure(Tree) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
Construct a new GrammaticalStructure from an existing parse tree.
ChineseGrammaticalStructure(Tree, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
 
ChineseGrammaticalStructure(Tree, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
 
ChineseGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
 
ChineseGrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
Used for postprocessing CoNLL X dependencies
ChineseGrammaticalStructure.FromDependenciesFactory - Class in edu.stanford.nlp.trees.international.pennchinese
 
ChineseGrammaticalStructureFactory - Class in edu.stanford.nlp.trees.international.pennchinese
 
ChineseGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
 
ChineseGrammaticalStructureFactory(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
 
ChineseGrammaticalStructureFactory(Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
 
ChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese
HeadFinder for the Penn Chinese Treebank.
ChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseHeadFinder
 
ChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseHeadFinder
 
ChineseIsSegmentedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseIsSegmentedAnnotation
 
chineseLeftParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseLeftQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
ChineseLexicon - Class in edu.stanford.nlp.parser.lexparser
A lexicon class for Chinese.
ChineseLexicon(Options, ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexicon
 
ChineseLexiconAndWordSegmenter - Class in edu.stanford.nlp.parser.lexparser
This class lets you train a lexicon and segmenter at the same time.
ChineseLexiconAndWordSegmenter(ChineseLexicon, WordSegmenter) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
ChineseLexiconAndWordSegmenter(String, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
Construct a new ChineseLexiconAndWordSegmenter.
ChineseOrigSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseOrigSegAnnotation
 
chineseOtherAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseRightParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
chineseRightQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
ChineseSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseSegAnnotation
 
ChineseSegmenterAnnotator - Class in edu.stanford.nlp.pipeline
This class will add Segmentation information to an Annotation.
ChineseSegmenterAnnotator() - Constructor for class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
 
ChineseSegmenterAnnotator(boolean) - Constructor for class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
 
ChineseSegmenterAnnotator(String, boolean) - Constructor for class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
 
ChineseSegmenterAnnotator(String, boolean, String, String) - Constructor for class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
 
ChineseSegmenterAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
 
ChineseSegmenterFeatureFactory<IN extends CoreLabel> - Class in edu.stanford.nlp.wordseg
A Chinese segmenter Feature Factory for GALE project.
ChineseSegmenterFeatureFactory() - Constructor for class edu.stanford.nlp.wordseg.ChineseSegmenterFeatureFactory
 
chineseSelectiveTagPA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
ChineseSemanticHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese
Implements a 'semantic head' variant of the the HeadFinder found in Chinese Head Finder
ChineseSemanticHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseSemanticHeadFinder
 
ChineseSemanticHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseSemanticHeadFinder
 
ChineseSimWordAvgDepGrammar - Class in edu.stanford.nlp.parser.lexparser
A Dependency grammar that smooths by averaging over similar words.
ChineseSimWordAvgDepGrammar(TreebankLangParserParams, boolean, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
 
chineseSplitDouHao - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: Split the dou hao (a punctuation mark separating members of a list) from other punctuation.
chineseSplitPunct - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: split Chinese punctuation several ways, along the lines of English punctuation plus another category for the dou hao.
chineseSplitPunctLR - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: split left right/paren quote (if chineseSplitPunct is also true.
chineseSplitVP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese VP splitting.
ChineseStringUtils - Class in edu.stanford.nlp.wordseg
 
ChineseStringUtils() - Constructor for class edu.stanford.nlp.wordseg.ChineseStringUtils
 
ChineseTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.pennchinese
Language pack for the UPenn/Colorado Chinese treebank.
ChineseTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
ChineseTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
Parameter file for parsing the Penn Chinese Treebank.
ChineseTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
ChineseUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser
Stores, trains, and scores with an unknown word model.
ChineseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, boolean, Set<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel
 
ChineseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel
This constructor creates an UWM with empty data structures.
ChineseUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
 
ChineseUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModelTrainer
 
ChineseUtils - Class in edu.stanford.nlp.trees.international.pennchinese
This class contains a few String constants and static methods for dealing with Chinese text.
chineseVerySelectiveTagPA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
chiSquare2by2(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Find a 2x2 chi-square value.
chomp(String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns the supplied string with any trailing '\n' removed.
chomp(Object) - Static method in class edu.stanford.nlp.util.StringUtils
Returns the result of calling toString() on the supplied Object, but with any trailing '\n' removed.
chooseTokenizerFactory() - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Figures out what tokenizer factory might be described by the config.
chooseTokenizerFactory(boolean, String, String, boolean) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
chooseTopWords(Counter<String>, TwoDimensionalCounter<String, Integer>, Counter<String>, Set<String>, double) - Method in class edu.stanford.nlp.patterns.surface.ScorePhrases
 
CHTBTokenizer - Class in edu.stanford.nlp.trees.international.pennchinese
A simple tokenizer for tokenizing Penn Chinese Treebank files.
CHTBTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer
Constructs a new tokenizer from a Reader.
ChunkAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation
 
ChunkAnnotationUtils - Class in edu.stanford.nlp.pipeline
Utility functions for annotating chunks
ChunkAnnotationUtils() - Constructor for class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
chunkOffsets - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
Chunk offsets (relative to chunking on top of original text)
classBias - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
ClassComparator() - Constructor for class edu.stanford.nlp.patterns.surface.Token.ClassComparator
 
ClassicCounter<E> - Class in edu.stanford.nlp.stats
A specialized kind of hash table (or map) for storing numeric counts for objects.
ClassicCounter() - Constructor for class edu.stanford.nlp.stats.ClassicCounter
Constructs a new (empty) Counter backed by a HashMap.
ClassicCounter(int) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
 
ClassicCounter(MapFactory<E, MutableDouble>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
Pass in a MapFactory and the map it vends will back your Counter.
ClassicCounter(MapFactory<E, MutableDouble>, int) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
Pass in a MapFactory and the map it vends will back your Counter.
ClassicCounter(Counter<E>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
Constructs a new Counter with the contents of the given Counter.
ClassicCounter(Collection<E>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
Constructs a new Counter by counting the elements in the given Collection.
Classifier<L,F> - Interface in edu.stanford.nlp.classify
A simple interface for classifying and scoring data points, implemented by most of the classifiers in this package.
classifier - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
Classifier - Class in edu.stanford.nlp.parser.nndep
Neural network classifier which powers a transition-based dependency parser.
Classifier(Config, double[][], double[][], double[], double[][], List<Integer>) - Constructor for class edu.stanford.nlp.parser.nndep.Classifier
Instantiate a classifier with previously learned parameters in order to perform new inference.
Classifier(Config, Dataset, double[][], double[][], double[], double[][], List<Integer>) - Constructor for class edu.stanford.nlp.parser.nndep.Classifier
Instantiate a classifier with training data and randomly initialized parameter matrices in order to begin training.
Classifier.Cost - Class in edu.stanford.nlp.parser.nndep
Describes the result of feedforward + backpropagation through the neural network for the batch provided to a `CostFunction.`
CLASSIFIER_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "classifier modifier" grammatical relation.
ClassifierCombiner<IN extends CoreMap & HasWord> - Class in edu.stanford.nlp.ie
Merges the outputs of two or more AbstractSequenceClassifiers according to a simple precedence scheme: any given base classifier contributes only classifications of labels that do not exist in the base classifiers specified before, and that do not have any token overlap with labels assigned by higher priority classifiers.
ClassifierCombiner(Properties) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
 
ClassifierCombiner(ClassifierCombiner.CombinationMode, String...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
Loads a series of base classifiers from the paths specified.
ClassifierCombiner(String...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
Loads a series of base classifiers from the paths specified.
ClassifierCombiner(AbstractSequenceClassifier<IN>...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
Combines a series of base classifiers
ClassifierCreator<L,F> - Interface in edu.stanford.nlp.classify
Creates a classifier with given weights
ClassifierFactory<L,F,C extends Classifier<L,F>> - Interface in edu.stanford.nlp.classify
A simple interface for training a Classifier from a Dataset of training examples.
classifierType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
classify(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify the tokens in a String.
classify(List<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify a List of something that extendsCoreMap.
classify(List<IN>) - Method in class edu.stanford.nlp.ie.ClassifierCombiner
Generates the AnswerAnnotation labels of the combined model for the given tokens, storing them in place in the tokens.
classify(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
 
classify(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
classify(List<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
Classify a List of CoreLabels.
classify(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
 
classify(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
Classify a List of CoreLabels.
classify(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
 
classifyAndWriteAnswers(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Load a test file, run the classifier on it, and then print the answers to stdout (with timing to stderr).
classifyAndWriteAnswers(String, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Load a test file, run the classifier on it, and then print the answers to stdout (with timing to stderr).
classifyAndWriteAnswers(String, OutputStream, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
If the flag outputEncoding is defined, the output is written in that character encoding, otherwise in the system default character encoding.
classifyAndWriteAnswers(String, String, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
classifyAndWriteAnswers(Collection<List<IN>>, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
classifyAndWriteAnswers(Collection<List<IN>>, PrintWriter, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
classifyAndWriteAnswersKBest(String, int, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Load a test file, run the classifier on it, and then print the answers to stdout (with timing to stderr).
classifyAndWriteAnswersKBest(ObjectBank<List<IN>>, int, PrintWriter, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Run the classifier on the documents in an ObjectBank, and print the answers to a given PrintWriter (with timing to stderr).
classifyAndWriteViterbiSearchGraph(String, String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Load a test file, run the classifier on it, and then write a Viterbi search graph for each sequence.
classifyFile(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify the contents of a file.
classifyFilesAndWriteAnswers(Collection<File>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
classifyFilesAndWriteAnswers(Collection<File>, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
classifyGibbs(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
classifyGibbs(List<IN>, Triple<int[][][], int[], double[][][]>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
classifyKBest(List<IN>, Class<? extends CoreAnnotation<String>>, int) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
classifyMaxEnt(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Do standard sequence inference, using either Viterbi or Beam inference depending on the value of flags.inferenceType.
classifyRaw(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify the tokens in a String.
classifySentence(List<? extends HasWord>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify a List of IN.
classifySentenceWithGlobalInformation(List<? extends HasWord>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify a List of IN using whatever additional information is passed in globalInfo.
classifyStdin() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
classifyStdin(DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
classifyToCharacterOffsets(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify the contents of a String to classified character offset spans.
classifyToString(String, String, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify the contents of a String to one of several String representations that shows the classes.
classifyToString(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify the contents of a String to a tagged word/class String.
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify a List of something that extends CoreMap using as additional information whatever is stored in the document and sentence.
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.ClassifierCombiner
 
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
classifyWithGlobalInformation(List<IN>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
 
classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
classifyWithGlobalInformation(List<CoreLabel>, CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
 
classifyWithInlineXML(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classify the contents of a String.
classIndex - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
classIndex - Variable in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
classIndex() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
classIndex - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
classIndex - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
className - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
 
ClassName() - Constructor for class edu.stanford.nlp.sentiment.SentimentCoreAnnotations.ClassName
 
classNames - Variable in class edu.stanford.nlp.sentiment.RNNOptions
 
classOf(Datum<L, F>) - Method in interface edu.stanford.nlp.classify.Classifier
 
classOf(Datum<String, String>) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
 
classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
classOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Deprecated.
classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
classOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
classOf(Counter<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
classOf(Collection<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
classOf(RVFDatum<L, F>) - Method in interface edu.stanford.nlp.classify.RVFClassifier
 
classOf(Datum<String, String>, ExtractionObject) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
classOf(List<IN>, int) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
Returns the most likely class for the word at the given position.
classORRestrictionsAsString() - Method in class edu.stanford.nlp.patterns.surface.Token
 
CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "clausal complement" grammatical relation.
CLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "clausal complement" (ccomp) grammatical relation.
CLAUSAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "clausal passive subject" grammatical relation.
CLAUSAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "clausal subject" grammatical relation.
clausalComplementRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
clean() - Method in class edu.stanford.nlp.maxent.Features
 
clean() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
clean() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
CLEAN_XML_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
cleanGazette - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
cleanJSON(String) - Static method in class edu.stanford.nlp.pipeline.JSONOutputter.JSONWriter
 
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.DependencyTreeTransformer
 
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.GrammaticalFunctionTreeNormalizer
Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer
Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpLabel(String) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
Remove things like hyphened functional tags and equals from the end of a node label.
cleanUpRoot(String) - Static method in class edu.stanford.nlp.trees.DependencyTreeTransformer
 
cleanUpScorer() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
clean-up after the scorer
cleanXML(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.AnnotatorFactories
 
cleanXML(Properties, String, String, String, boolean) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
Clean XML input
CleanXmlAnnotator - Class in edu.stanford.nlp.pipeline
An annotator which removes all xml tags (as identified by the tokenizer) and possibly selectively keeps the text between them.
CleanXmlAnnotator() - Constructor for class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
CleanXmlAnnotator(String, String, String, boolean) - Constructor for class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
clear() - Method in class edu.stanford.nlp.classify.GeneralDataset
Resets the Dataset so that it is empty and ready to collect data.
clear(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
Resets the Dataset so that it is empty and ready to collect data.
clear() - Method in class edu.stanford.nlp.classify.RVFDataset
Resets the Dataset so that it is empty and ready to collect data.
clear(int) - Method in class edu.stanford.nlp.classify.RVFDataset
Resets the Dataset so that it is empty and ready to collect data.
clear() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
clears the graph, removes all edges and nodes
clear() - Method in interface edu.stanford.nlp.graph.Graph
clears the graph, removes all edges and nodes
clear() - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
 
clear() - Method in class edu.stanford.nlp.io.StringOutputStream
 
clear() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
clear() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
clear() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
Clears this table
clear() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
 
clear() - Method in class edu.stanford.nlp.objectbank.ObjectBank
 
clear() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
clear() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
clear() - Method in class edu.stanford.nlp.stats.ClassicCounter
Removes all entries from the counter.
clear() - Method in interface edu.stanford.nlp.stats.Counter
Removes all entries from the counter.
clear() - Method in class edu.stanford.nlp.stats.IntCounter
Removes all counts from this Counter.
clear() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
clears the map, total and default value
clear() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
 
clear() - Method in class edu.stanford.nlp.trees.CompositeTreebank
 
clear() - Method in class edu.stanford.nlp.trees.DiskTreebank
Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.FilteringTreebank
Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.MemoryTreebank
Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.TransformingTreebank
Empty a Treebank.
clear() - Method in class edu.stanford.nlp.trees.Treebank
Empty a Treebank.
clear() - Method in class edu.stanford.nlp.util.ArrayHeap
Clears the heap.
clear() - Method in class edu.stanford.nlp.util.ArrayMap
 
clear() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Clears the queue.
clear() - Method in class edu.stanford.nlp.util.CollectionValuedMap
Clears this Map.
clear() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
clear() - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
 
clear() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
This is more expensive than normal.
clear() - Method in class edu.stanford.nlp.util.DeltaIndex
We don't want to change the backing index in any way, and "clear" would have to entail doing that, so we just throw an UnsupportedOperationException instead
clear() - Method in class edu.stanford.nlp.util.DeltaMap
This is more expensive than normal.
clear(int, int) - Method in class edu.stanford.nlp.util.EditDistance
 
clear() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
 
clear() - Method in class edu.stanford.nlp.util.HashIndex
Clears this Index.
clear() - Method in class edu.stanford.nlp.util.IdentityHashSet
Removes all of the elements from this set.
clear() - Method in interface edu.stanford.nlp.util.Index
 
clear() - Method in class edu.stanford.nlp.util.Interner
 
clear() - Method in class edu.stanford.nlp.util.IntervalTree
 
clear() - Method in class edu.stanford.nlp.util.IntervalTree.TreeNode
 
clear() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Clear any custom configurations to Redwood
clear() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
 
clear() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
clear() - Method in class edu.stanford.nlp.util.TwoDimensionalSet
 
clear2D(double[][]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
clearAll() - Method in class edu.stanford.nlp.trees.tregex.gui.FilePanel
Removes all files from the panel
clearAnnotatorPool() - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
Call this if you are no longer using StanfordCoreNLP and want to release the memory associated with the annotators.
clearCache() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
Clears the cache in a way that doesn't require reallocation :-)
clearCache() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
Clears the cache in a way that doesn't require reallocation :-)
clearCounts() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
 
clearCounts() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
clearError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
clearGradientHistories() - Method in class edu.stanford.nlp.parser.nndep.Classifier
Clear all gradient histories used for AdaGrad training.
clearGradientsPerIter - Variable in class edu.stanford.nlp.parser.nndep.Config
During training, clear AdaGrad gradient histories after every clearGradientsPerIter iterations.
clearHandlers() - Static method in class edu.stanford.nlp.util.logging.Redwood
Remove all log handlers from Redwood, presumably in order to construct a custom pipeline afterwards
clearMatches() - Method in class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel
Remove all trees from the display
clearMemory() - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
clearMemory() - Method in class edu.stanford.nlp.objectbank.ObjectBank
If you are keeping the contents in memory, this will clear the memory, and they will be recomputed the next time iterator() is called.
clearMemory() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
clearNodeScope(Node) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
clearVariables() - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
Clique - Class in edu.stanford.nlp.sequences
This class is meant to represent a clique in a (directed or undirected) linear-chain graphical model.
cliqueC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCnC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCp2C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCp3C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCp4C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCp5C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCpC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCpCnC - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCpCp2C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCpCp2Cp3C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCpCp2Cp3Cp4C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliqueCpCp2Cp3Cp4Cp5C - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
cliquePotentialFunc - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
CliquePotentialFunction - Interface in edu.stanford.nlp.ie.crf
 
clone() - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
clone() - Method in class edu.stanford.nlp.stats.IntCounter
 
clone() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
clone() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Returns a clone of this priority queue.
clone() - Method in class edu.stanford.nlp.util.IdentityHashSet
Returns a shallow copy of this IdentityHashSet instance: the elements themselves are not cloned.
close() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
 
close() - Method in class edu.stanford.nlp.io.BZip2PipedOutputStream
 
close() - Method in class edu.stanford.nlp.io.ReaderInputStream
Closes the Stringreader.
close() - Method in class edu.stanford.nlp.io.TeeStream
 
close() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
 
close() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
close() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
 
close() - Method in class edu.stanford.nlp.trees.FilteringTreeReader
Close the Reader behind this TreeReader.
close() - Method in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
 
close() - Method in class edu.stanford.nlp.trees.PennTreeReader
Closes the underlying Reader used to create this class.
close() - Method in interface edu.stanford.nlp.trees.TreeReader
Close the Reader behind this TreeReader.
close() - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler
This is a no-op since Redwood doesn't have this.
close() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
close() - Method in class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
CLOSED_CLASS_THRESHOLD - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
closedRuleIterator() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
closedRuleIteratorByChild(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
closedRuleIteratorByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
closedRulesByChild(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
closedRulesByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
closeEVALBfiles() - Static method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
 
closeFiles() - Method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
 
closeIgnoringExceptions(Closeable) - Static method in class edu.stanford.nlp.io.IOUtils
Provides an implementation of closing a file for use in a finally block so you can correctly close a file without even more exception handling stuff.
closeNodeScope(Node, int) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
closeNodeScope(Node, boolean) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
closest(SUTime.Time, SUTime.Time...) - Static method in class edu.stanford.nlp.time.SUTime.Time
 
clubNeighboringLabeledWords - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
clusterID - Variable in class edu.stanford.nlp.dcoref.CorefCluster
 
CmdEvaluator - Class in edu.stanford.nlp.optimization
Runs a cmdline to evaluate a dataset (assumes cmd takes input from stdin)
CmdEvaluator() - Constructor for class edu.stanford.nlp.optimization.CmdEvaluator
 
CMMClassifier<IN extends CoreLabel> - Class in edu.stanford.nlp.ie.ner
Does Sequence Classification using a Conditional Markov Model.
CMMClassifier() - Constructor for class edu.stanford.nlp.ie.ner.CMMClassifier
 
CMMClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.ner.CMMClassifier
 
CMMClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.ner.CMMClassifier
 
CmpToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
CNFTransformers - Class in edu.stanford.nlp.parser.lexparser
 
coarseDistance - Variable in class edu.stanford.nlp.parser.lexparser.Options
Use coarser distance (4 bins) in dependency calculations
coarseDistanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
coarseDistanceBins - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
CoarseTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoarseTagAnnotation
 
collapseApproximate - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Collapse records in a heuristic way to make reading easier.
CollapsedCCProcessedDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation
 
CollapsedDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation
 
collapseDependencies(List<TypedDependency>, boolean, boolean) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
Destructively modifies this Collection<TypedDependency> by collapsing several types of transitive pairs of dependencies.
collapseDependencies(List<TypedDependency>, boolean, boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Destructively modify the Collection<TypedDependency> to collapse language-dependent transitive dependencies.
collapseDependencies(List<TypedDependency>, boolean, boolean) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
 
collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
 
collapseDependenciesTree(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Destructively modify the Collection<TypedDependency> to collapse language-dependent transitive dependencies but keeping a tree structure.
collapseExact - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Collapse records which are duplicates into a single message, followed by a message detailing how many times it was repeated.
collapseNERLabels(List<CoreLabel>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
Currently this populates a List<CoreLabel> with words from the passed List, but NER entities are collapsed and CoreLabel constituents of entities have NER information in their "quantity" fields.
CollapseUnaryTransformer - Class in edu.stanford.nlp.sentiment
This transformer collapses chains of unary nodes so that the top node is the only node left.
CollapseUnaryTransformer() - Constructor for class edu.stanford.nlp.sentiment.CollapseUnaryTransformer
 
collapseWhCategories - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Collapse WHPP with PP, etc., in training and perhaps in evaluation.
collectionAcceptFilter(E[]) - Static method in class edu.stanford.nlp.util.Filters
The collectionAcceptFilter accepts a certain collection.
collectionAcceptFilter(Collection<E>) - Static method in class edu.stanford.nlp.util.Filters
The collectionAcceptFilter accepts a certain collection.
CollectionFactory<T> - Class in edu.stanford.nlp.util
Factory for vending Collections.
CollectionFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory
 
CollectionFactory.ArrayListFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.HashSetFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.LinkedListFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.SizedArrayListFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.TreeSetFactory<T> - Class in edu.stanford.nlp.util
 
collectionRejectFilter(E[]) - Static method in class edu.stanford.nlp.util.Filters
The collectionRejectFilter rejects a certain collection.
collectionRejectFilter(Collection<E>) - Static method in class edu.stanford.nlp.util.Filters
The collectionRejectFilter rejects a certain collection.
CollectionUtils - Class in edu.stanford.nlp.util
Collection of useful static methods for working with Collections.
CollectionValuedMap<K,V> - Class in edu.stanford.nlp.util
Map from keys to Collections.
CollectionValuedMap(MapFactory<K, Collection<V>>, CollectionFactory<V>, boolean) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
Creates a new empty CollectionValuedMap.
CollectionValuedMap(CollectionValuedMap<K, V>) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
Creates a new CollectionValuedMap with all of the mappings from cvm.
CollectionValuedMap() - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
Creates a new empty CollectionValuedMap which uses a HashMap as the underlying Map, and HashSets as the Collections in each mapping.
CollectionValuedMap(CollectionFactory<V>) - Constructor for class edu.stanford.nlp.util.CollectionValuedMap
Creates a new empty CollectionValuedMap which uses a HashMap as the underlying Map.
collectOperations(List<TsurgeonPattern>) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Collects a list of operation patterns into a sequence of operations to be applied.
collectSamples(SequenceModel, int, int) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Collects numSamples samples of sequences, from the distribution over sequences defined by the sequence model passed on construction.
collectSamples(SequenceModel, int, int, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Collects numSamples samples of sequences, from the distribution over sequences defined by the sequence model passed on construction.
collinize(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
 
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
the tree transformer used to produce trees for evaluation.
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
The collinizer eliminates punctuation
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Returns a ChineseCollinizer
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
The tree transformer used to produce trees for evaluation.
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
returns a NegraPennCollinizer
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
collinizer() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
The tree transformer applied to trees prior to evaluation.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
the tree transformer used to produce trees for evaluation.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
Stand-in collinizer does nothing to the tree.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Returns a ChineseCollinizer that doesn't delete punctuation
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
Stand-in collinizer does nothing to the tree.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
returns a NegraPennCollinizer
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
collinizerEvalb() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
the tree transformer used to produce trees for evaluation.
CollinsHeadFinder - Class in edu.stanford.nlp.trees
Implements the HeadFinder found in Michael Collins' 1999 thesis.
CollinsHeadFinder() - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
 
CollinsHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
This constructor provides the traditional behavior, where there is no special avoidance of punctuation categories.
CollinsHeadFinder(TreebankLanguagePack, String...) - Constructor for class edu.stanford.nlp.trees.CollinsHeadFinder
 
collinsPunc - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Promote/delete punctuation like Collins.
CollinsPuncTransformer - Class in edu.stanford.nlp.parser.lexparser
This class manipulates punctuation in trees (used with training trees) in the same manner that Collins manipulated punctuation in trees when building his parsing model.
CollinsPuncTransformer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.CollinsPuncTransformer
 
CollocationFinder - Class in edu.stanford.nlp.trees
Finds WordNet collocations in parse trees.
CollocationFinder(Tree, WordNetConnection) - Constructor for class edu.stanford.nlp.trees.CollocationFinder
Construct a new CollocationFinder over the Tree t.
CollocationFinder(Tree, WordNetConnection, HeadFinder) - Constructor for class edu.stanford.nlp.trees.CollocationFinder
Construct a new CollocationFinder over the Tree t.
CollocationFinder(Tree, WordNetConnection, HeadFinder, boolean) - Constructor for class edu.stanford.nlp.trees.CollocationFinder
Construct a new CollocationFinder over the Tree t.
Color - Enum in edu.stanford.nlp.util.logging
ANSI supported colors These values are mirrored in Redwood.Util
colorChannel(String, Color) - Method in class edu.stanford.nlp.util.logging.OutputHandler
Color the tag for a particular channel this color
COLUMN_DATA_CLASSIFIER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
ColumnDataClassifier - Class in edu.stanford.nlp.classify
ColumnDataClassifier provides a command-line interface for doing context-free (independent) classification of a series of data items, where each data item is represented by a line of a file, as a list of String variables, in tab-separated columns.
ColumnDataClassifier(String) - Constructor for class edu.stanford.nlp.classify.ColumnDataClassifier
Construct a ColumnDataClassifier.
ColumnDataClassifier(Properties) - Constructor for class edu.stanford.nlp.classify.ColumnDataClassifier
Construct a ColumnDataClassifier.
columnDataClassifier(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.AnnotatorFactories
 
ColumnDataClassifierAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ColumnDataClassifierAnnotation
 
ColumnDataClassifierAnnotator - Class in edu.stanford.nlp.pipeline
Created by joberant on 9/8/14.
ColumnDataClassifierAnnotator(String) - Constructor for class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
 
ColumnDataClassifierAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
 
ColumnDataClassifierAnnotator(String, boolean) - Constructor for class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
 
ColumnDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
DocumentReader for column format
ColumnDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
 
columnNamesArray() - Static method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.HistoryEntry
 
columnStringToObject(Class, String, String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Converts a tab delimited string into an object with given fields Requires the object has setXxx functions for the specified fields
columnStringToObject(Class<?>, String, Pattern, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Converts a tab delimited string into an object with given fields Requires the object has public access for the specified fields
CombinationFeatureFactory - Class in edu.stanford.nlp.parser.shiftreduce
Combines multiple feature factories into one feature factory
CombinationFeatureFactory(FeatureFactory[]) - Constructor for class edu.stanford.nlp.parser.shiftreduce.CombinationFeatureFactory
 
combine(CRFClassifier<IN>, double) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Combines weighted crf with this crf
combine(Edge, Hook) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
combine(Partial, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
combine(double, double) - Method in class edu.stanford.nlp.util.EditDistance
 
combine2DArr(double[][], double[][], double) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
combine2DArr(double[][], double[][]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
combine2DArr(double[][], Map<Integer, double[]>) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
combine2DArr(double[][], Map<Integer, double[]>, double) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
combineAndScaleLopWeights(int, double[][], double[]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
 
combineAndScaleLopWeights2D(int, double[][][], double[]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
 
combineClassification - Variable in class edu.stanford.nlp.sentiment.RNNOptions
If this option is true, then the binary and unary classification matrices are combined.
combineMoreGeneralFields(Partial, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
combineMoreGeneralFields(Partial, Partial, DateTimeFieldType) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
combineSegmentedSentence(List<CoreLabel>, SeqClassifierFlags) - Static method in class edu.stanford.nlp.wordseg.ChineseStringUtils
 
combo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
comboProps - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
COMMA - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
commonAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Return the maximum distance to a least common ancestor.
CommonWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CommonWordsAnnotation
 
commonWordsPatternFiles - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Words to be ignored when learning phrases if removePhrasesWithStopWords or removeStopWordsFromSelectedPhrases is true.
compact() - Method in class edu.stanford.nlp.util.ArrayCoreMap
Reduces memory consumption to the minimum for representing the values currently stored stored in this object.
compactGrammar(Pair<UnaryGrammar, BinaryGrammar>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
compactGrammar(Pair<UnaryGrammar, BinaryGrammar>, Map<String, List<List<String>>>, Map<String, List<List<String>>>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
Compacts the grammar specified by the Pair.
compactGrammar - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
How to compact grammars as FSMs.
compactGrammar() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
ComparableComparator() - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ComparableComparator
 
Comparators - Class in edu.stanford.nlp.util
 
compare(CorefChain.CorefMention, CorefChain.CorefMention) - Method in class edu.stanford.nlp.dcoref.CorefChain.CorefMentionComparator
 
compare(Mention, Mention) - Method in class edu.stanford.nlp.dcoref.CorefChain.MentionComparator
 
compare(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher.LongestStringComparator
 
compare(T, T) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ComparableComparator
 
compare(T, T) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
 
compare(Number, Number) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericComparator
 
compare(Class, Class) - Method in class edu.stanford.nlp.patterns.surface.Token.ClassComparator
 
compare(Tree, Tree) - Method in class edu.stanford.nlp.trees.TreeLengthComparator
Compare the two objects.
compare(V1, V2) - Method in interface edu.stanford.nlp.util.Iterables.IncrementComparator
Returns -1 if the value of a should come before the value of b, +1 if the value of b should come before the value of a, or 0 if the two should be merged together.
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.ByFirstPairComparator
 
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.ByFirstReversePairComparator
 
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.BySecondPairComparator
 
compare(Pair<T1, T2>, Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair.BySecondReversePairComparator
 
compare(Scored, Scored) - Method in class edu.stanford.nlp.util.ScoredComparator
 
compareArrays(T[], T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Provides a consistent ordering over arrays.
compareBooleanArrays(boolean[], boolean[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
CompareFunction(String, Comparator<T>, ValueFunctions.CompareType, Class) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
 
compareIntervalOrder(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
Returns order of another interval compared to this one
compareLists(List<T>, List<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Provides a consistent ordering over lists.
compareTo(IndexedWord) - Method in class edu.stanford.nlp.ling.IndexedWord
NOTE: This compareTo is based on and made to be compatible with the one from IndexedFeatureLabel.
compareTo(ValueLabel) - Method in class edu.stanford.nlp.ling.ValueLabel
Orders by value()'s lexicographic ordering.
compareTo(WordLemmaTag) - Method in class edu.stanford.nlp.ling.WordLemmaTag
Orders first by word, then by lemma, then by tag.
compareTo(WordTag) - Method in class edu.stanford.nlp.ling.WordTag
Orders first by word, then by tag.
compareTo(BinaryRule) - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
 
compareTo(HTKLatticeReader.LatticeWord) - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
 
compareTo(IntTaggedWord) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
compareTo(UnaryRule) - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
 
compareTo(SurfacePattern) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
compareTo(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
Compares SemanticGraphEdges.
compareTo(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
 
compareTo(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
 
compareTo(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Time
 
compareTo(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
 
compareTo(TypedDependency) - Method in class edu.stanford.nlp.trees.TypedDependency
 
compareTo(IntTuple) - Method in class edu.stanford.nlp.util.IntTuple
 
compareTo(MutableDouble) - Method in class edu.stanford.nlp.util.MutableDouble
Compares two MutableDouble objects numerically.
compareTo(MutableInteger) - Method in class edu.stanford.nlp.util.MutableInteger
Compares two MutableInteger objects numerically.
compareTo(MutableLong) - Method in class edu.stanford.nlp.util.MutableLong
Compares two MutableLong objects numerically.
compareTo(Pair<T1, T2>) - Method in class edu.stanford.nlp.util.Pair
Compares this Pair to another object.
compareTo(Quadruple<T1, T2, T3, T4>) - Method in class edu.stanford.nlp.util.Quadruple
 
compareTo(Triple<T1, T2, T3>) - Method in class edu.stanford.nlp.util.Triple
 
compile(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
compile(SequencePattern.PatternExpr) - Static method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
compile(String) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
Compiles a regular expressions over tokens into a TokenSequencePattern using the default environment.
compile(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
Compiles a regular expression over tokens into a TokenSequencePattern using the specified environment.
compile(String...) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
Compiles a sequence of regular expressions into a TokenSequencePattern using the default environment.
compile(Env, String...) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
Compiles a sequence of regular expressions into a TokenSequencePattern using the specified environment.
compile(SequencePattern.PatternExpr) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
Compiles a PatternExpr into a TokenSequencePattern.
compile(String) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
Creates a pattern from the given string.
compile(String) - Static method in class edu.stanford.nlp.trees.tregex.TregexPattern
Creates a pattern from the given string using the default HeadFinder and BasicCategoryFunction.
compile(String) - Method in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
Create a TregexPattern from this tregex string using the headFinder and basicCat function this TregexPatternCompiler was created with.
compileAnnotations(HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
Compile the TregexPoweredTreebankParserParams.annotations collection given a particular head finder.
COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "complement" grammatical relation.
COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "clausal subject" grammatical relation.
compose(Map<X, Y>, Map<Y, Z>) - Static method in class edu.stanford.nlp.util.Maps
Compose two maps map1:x->y and map2:y->z to get a map x->z
COMPOSITE_EXTRACT_RULE_CREATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
COMPOSITE_KEYS_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
COMPOSITE_RULE_TYPE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
COMPOSITE_VALUE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
CompositeExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CompositeExtractRuleCreator
 
CompositeFieldValue(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
CompositePartialTime(SUTime.PartialTime, SUTime.Time, SUTime.Time, SUTime.Time) - Constructor for class edu.stanford.nlp.time.SUTime.CompositePartialTime
 
CompositePartialTime(SUTime.PartialTime, Partial, SUTime.Time, SUTime.Time, SUTime.Time) - Constructor for class edu.stanford.nlp.time.SUTime.CompositePartialTime
 
CompositeTreebank - Class in edu.stanford.nlp.trees
 
CompositeTreebank(Treebank, Treebank) - Constructor for class edu.stanford.nlp.trees.CompositeTreebank
 
CompositeTreeTransformer - Class in edu.stanford.nlp.trees
A TreeTransformer that applies component TreeTransformers in order.
CompositeTreeTransformer() - Constructor for class edu.stanford.nlp.trees.CompositeTreeTransformer
 
CompositeTreeTransformer(List<TreeTransformer>) - Constructor for class edu.stanford.nlp.trees.CompositeTreeTransformer
 
CompositeValue(String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
 
CompositeValue(Map<String, Expression>, boolean, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
 
COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "compound" grammatical relation (abstract).
compoundUnaries - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceOptions
 
CompoundUnaryTransition - Class in edu.stanford.nlp.parser.shiftreduce
Transition that makes a compound unary parse node in a partially finished tree.
CompoundUnaryTransition(List<String>, boolean) - Constructor for class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
 
compute(double[], double[]) - Method in class edu.stanford.nlp.classify.LogPrior
Adjust the given grad array by adding the prior's gradient component and return the value of the logPrior
compute(Boolean...) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
 
compute(Number...) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
 
compute(String...) - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
 
computeAllPatterns - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
If all patterns should be computed.
computeAverage(Function<Triple<GeneralDataset<L, F>, GeneralDataset<L, F>, CrossValidator.SavedState>, Double>) - Method in class edu.stanford.nlp.classify.CrossValidator
This computes the average over all folds of the function we're trying to optimize.
computeCliquePotential(int, int, int[], double[], int) - Method in interface edu.stanford.nlp.ie.crf.CliquePotentialFunction
 
computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.LinearCliquePotentialFunction
 
computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.NoisyLabelLinearCliquePotentialFunction
 
computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.NonLinearCliquePotentialFunction
 
computeCliquePotential(int, int, int[], double[], int) - Method in class edu.stanford.nlp.ie.crf.NonLinearSecondOrderCliquePotentialFunction
 
computeCostFunction(int, double, double) - Method in class edu.stanford.nlp.parser.nndep.Classifier
Determine the total cost on the dataset associated with this classifier using the current learned parameters.
computeFeatSimilarity - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
computeInputPrior(Map<String, List<List<String>>>) - Static method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
computeLambda(TransducerGraph) - Static method in class edu.stanford.nlp.fsm.QuasiDeterminizer
Takes time linear in number of arcs.
computeRawFreqIfNull(Map<String, List<CoreLabel>>, int) - Static method in class edu.stanford.nlp.patterns.surface.Data
 
computeStochastic(double[], double[], double) - Method in class edu.stanford.nlp.classify.LogPrior
 
CONCAT - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
concat(IntTuple, IntTuple) - Static method in class edu.stanford.nlp.util.IntTuple
 
CONCAT_COREMAP - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
CONCAT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
CONCAT_TOKENS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
ConcatAggregator(String) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatAggregator
 
ConcatCoreMapListAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatCoreMapListAggregator
 
ConcatCoreMapListAggregator(boolean) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatCoreMapListAggregator
 
concatenate(SimpleMatrix...) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Concatenates several column vectors into one large column vector
concatenate(T[], T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Concatenates two arrays and returns the result
concatenateTypes(String, String) - Static method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
Concatenates two types
concatenateWithBias(SimpleMatrix...) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Concatenates several column vectors into one large column vector, adds a 1.0 at the end as a bias term
ConcatenationIterator<T> - Class in edu.stanford.nlp.util
Iterator that represents the concatenation of two other iterators.
ConcatenationIterator(Iterator<T>, Iterator<T>) - Constructor for class edu.stanford.nlp.util.ConcatenationIterator
 
ConcatListAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.ConcatListAggregator
 
ConcurrentHashIndex<E> - Class in edu.stanford.nlp.util.concurrent
A fast threadsafe index that supports constant-time lookup in both directions.
ConcurrentHashIndex() - Constructor for class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
Constructor.
ConcurrentHashIndex(int) - Constructor for class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
Constructor.
CONDENSE - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
condense() - Method in class edu.stanford.nlp.parser.shiftreduce.Weight
 
CondExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
CondGroup(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
ConditionalExpression(Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
 
ConditionalExpression(String, Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
 
conditionalize(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
returns a GeneralizedCounter conditioned on the objects in the List argument.
conditionalizeOnce(K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns a GeneralizedCounter conditioned on the given top level object.
conditionalLogProb(int[], int) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
conditionalLogProbGivenFirst(int, int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
Computes the probability of the sequence OF being at the end of the table given that the first tag in table is GIVEN.
conditionalLogProbGivenNext(int[], int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
Computes the probability of the tag OF being at the beginning of the table given that the tag sequence GIVEN is at the end of the table.
conditionalLogProbGivenPrevious(int[], int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
Computes the probability of the tag OF being at the end of the table given that the previous tag sequence in table is GIVEN.
conditionalLogProbsGivenPrevious(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
Computes the probabilities of the tag at the end of the table given that the previous tag sequence in table is GIVEN.
conditionalSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
 
condLogProbGivenNext(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbGivenNext(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbGivenPrevious(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
Gives the probability of a tag at a single position conditioned on a sequence of previous labels.
condLogProbGivenPrevious(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbsGivenNext(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbsGivenNext(int, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbsGivenPrevious(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condLogProbsGivenPrevious(int, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condProbGivenNext(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condProbGivenNext(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condProbGivenPrevious(int, int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
condProbGivenPrevious(int, E, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
confidenceWeightedAccuracy() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
Config - Class in edu.stanford.nlp.parser.nndep
Defines configuration settings for training and testing the neural-network dependency parser.
Config(Properties) - Constructor for class edu.stanford.nlp.parser.nndep.Config
 
configLogger(String) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
Configuration - Class in edu.stanford.nlp.parser.nndep
Describe the current configuration of a parser (i.e., parser state).
Configuration(Configuration) - Constructor for class edu.stanford.nlp.parser.nndep.Configuration
 
Configuration(CoreMap) - Constructor for class edu.stanford.nlp.parser.nndep.Configuration
 
confusionMatrix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
ConfusionMatrix<U> - Class in edu.stanford.nlp.util
This implements a confusion table over arbitrary types of class labels.
ConfusionMatrix() - Constructor for class edu.stanford.nlp.util.ConfusionMatrix
 
ConfusionMatrix(Locale) - Constructor for class edu.stanford.nlp.util.ConfusionMatrix
 
ConfusionMatrix.Contingency - Class in edu.stanford.nlp.util
Contingency table, listing precision ,recall, specificity, and f1 given the number of true and false positives, true and false negatives.
ConjFilter(List<Predicate<T>>) - Constructor for class edu.stanford.nlp.util.Filters.ConjFilter
 
ConjFilter(Predicate<T>...) - Constructor for class edu.stanford.nlp.util.Filters.ConjFilter
 
ConjNodePattern(List<NodePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.ConjNodePattern
 
conjoinShapeNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
CONJUNCT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "conjunct" grammatical relation.
CONJUNCT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "conjunct" (conj) grammatical relation.
CONLL2011_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
CoNLL2011DocumentReader - Class in edu.stanford.nlp.dcoref
Read _conll file format from CoNLL2011.
CoNLL2011DocumentReader(String) - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
 
CoNLL2011DocumentReader(String, CoNLL2011DocumentReader.Options) - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
 
CoNLL2011DocumentReader.CorefMentionAnnotation - Class in edu.stanford.nlp.dcoref
 
CoNLL2011DocumentReader.CorpusStats - Class in edu.stanford.nlp.dcoref
 
CoNLL2011DocumentReader.Document - Class in edu.stanford.nlp.dcoref
 
CoNLL2011DocumentReader.NamedEntityAnnotation - Class in edu.stanford.nlp.dcoref
 
CoNLL2011DocumentReader.Options - Class in edu.stanford.nlp.dcoref
Flags
CONLL_OUTPUT_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
CONLL_SCORER - Static variable in class edu.stanford.nlp.dcoref.Constants
 
CoNLLDepAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepAnnotation
 
CoNLLDepParentIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepParentIndexAnnotation
 
CoNLLDepTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepTypeAnnotation
 
conllDoc - Variable in class edu.stanford.nlp.dcoref.Document
for conll shared task 2011
CoNLLDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
DocumentReader for the original CoNLL 03 format.
CoNLLDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
conllMentionEvalScript - Static variable in class edu.stanford.nlp.dcoref.Constants
Default path for conll scorer script
conllMentionEvalScript - Variable in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
Path for the official CoNLL scorer
CoNLLMentionExtractor - Class in edu.stanford.nlp.dcoref
Extracts coref mentions from a CoNLL2011 data files
CoNLLMentionExtractor(Dictionaries, Properties, Semantics) - Constructor for class edu.stanford.nlp.dcoref.CoNLLMentionExtractor
 
CoNLLMentionExtractor(Dictionaries, Properties, Semantics, LogisticClassifier<String, String>) - Constructor for class edu.stanford.nlp.dcoref.CoNLLMentionExtractor
 
CoNLLOutputter - Class in edu.stanford.nlp.pipeline
Write a subset of our CoreNLP output in CoNLL format.
CoNLLOutputter() - Constructor for class edu.stanford.nlp.pipeline.CoNLLOutputter
 
CoNLLPredicateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLPredicateAnnotation
 
conllPrint(Annotation, OutputStream) - Static method in class edu.stanford.nlp.pipeline.CoNLLOutputter
 
conllPrint(Annotation, OutputStream, StanfordCoreNLP) - Static method in class edu.stanford.nlp.pipeline.CoNLLOutputter
 
conllPrint(Annotation, OutputStream, AnnotationOutputter.Options) - Static method in class edu.stanford.nlp.pipeline.CoNLLOutputter
 
conllPrint(Annotation, Writer) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
Displays the output of many annotators in CoNLL format.
CoNLLSRLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLSRLAnnotation
 
CoNLLX_FieldCount - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
CoNLLX_GovField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
CoNLLX_POSField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
CoNLLX_RelnField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
CoNLLX_WordField - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
ConnectedComponents<V,E> - Class in edu.stanford.nlp.graph
Finds connected components in the graph, currently uses inefficient list for variable 'verticesLeft'.
ConnectedComponents() - Constructor for class edu.stanford.nlp.graph.ConnectedComponents
 
consistencyCheck - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
consistencyChecker - Variable in class edu.stanford.nlp.ie.machinereading.MachineReading
 
Constants - Class in edu.stanford.nlp.dcoref
 
Constants() - Constructor for class edu.stanford.nlp.dcoref.Constants
 
ConstantsAndVariables - Class in edu.stanford.nlp.patterns.surface
 
ConstantsAndVariables(Properties, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>, Map<String, Map<Class, Object>>) - Constructor for class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
ConstantsAndVariables(Properties, Map<String, Set<String>>, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>, Map<String, Map<Class, Object>>) - Constructor for class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
ConstantsAndVariables(Properties, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>) - Constructor for class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
ConstantsAndVariables(Properties, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>) - Constructor for class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
ConstantsAndVariables.DataSentsIterator - Class in edu.stanford.nlp.patterns.surface
 
ConstantsAndVariables.PatternForEachTokenWay - Enum in edu.stanford.nlp.patterns.surface
 
ConstantsAndVariables.ScorePhraseMeasures - Enum in edu.stanford.nlp.patterns.surface
 
Constituent - Class in edu.stanford.nlp.trees
A Constituent object defines a generic edge in a graph.
Constituent() - Constructor for class edu.stanford.nlp.trees.Constituent
 
ConstituentFactory - Interface in edu.stanford.nlp.trees
A ConstituentFactory is a factory for creating objects of class Constituent, or some descendent class.
constituentFactory() - Method in class edu.stanford.nlp.trees.LabeledConstituent
Return a factory for this kind of constituent.
constituentFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredConstituent
Return a factory for this kind of constituent.
constituentFactory() - Method in class edu.stanford.nlp.trees.SimpleConstituent
Return a factory for this kind of constituent.
constituentFactory() - Method in class edu.stanford.nlp.trees.Span
Return a factory for this kind of constituent.
constituents() - Method in class edu.stanford.nlp.trees.Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory) - Method in class edu.stanford.nlp.trees.Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, int) - Method in class edu.stanford.nlp.trees.Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, boolean) - Method in class edu.stanford.nlp.trees.Tree
Returns the Constituents generated by the parse tree.
constituents(ConstituentFactory, boolean, Predicate<Tree>) - Method in class edu.stanford.nlp.trees.Tree
 
constituentTreePrinter - Variable in class edu.stanford.nlp.pipeline.AnnotationOutputter.Options
How to print a constituent tree
ConstraintAnnotation() - Constructor for class edu.stanford.nlp.parser.common.ParserAnnotations.ConstraintAnnotation
 
constraints - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
When you want to force the parser to parse a particular subsequence into a particular state.
constructEntityMention(String, CoreMap, Span, Span, String, String, String) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMentionFactory
Always use this method to construct EntityMentions Other factories that inherit from this (e.g., NFLEntityMentionFactory) may override this
constructRelationMention(String, CoreMap, Span, String, String, List<ExtractionObject>, Counter<String>) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMentionFactory
Always use this method to construct RelationMentions Other factories that inherit from this (e.g., NFLRelationFactory) may override this
constructSentenceRelationMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
constVars - Variable in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
contains(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.AbbreviationMap
 
contains(EventMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
contains(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
Returns true if this span contains otherSpan.
contains(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
Returns true if i is inside this span.
contains(ISODateInstance) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
Returns true iff this date contains the date represented by other.
contains(Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
 
contains(int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
contains(Object) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
contains(List<IN>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
contains(SUTime.Range) - Method in class edu.stanford.nlp.time.SUTime.Range
 
contains(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Time
 
contains(Constituent) - Method in class edu.stanford.nlp.trees.Constituent
Detects whether this constituent contains a constituent, that is whether they are nested.
contains(T[], T) - Static method in class edu.stanford.nlp.util.ArrayUtils
Returns true iff object o equals (not ==) some element of array a.
contains(Object) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Returns whether the queue contains the given key.
contains(Object) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
contains(Object) - Method in class edu.stanford.nlp.util.DeltaIndex
 
contains(Object) - Method in class edu.stanford.nlp.util.HashIndex
Checks whether an Object already has an index in the Index
contains(Object) - Method in class edu.stanford.nlp.util.IdentityHashSet
Returns true if this set contains the specified element.
contains(Object) - Method in interface edu.stanford.nlp.util.Index
 
contains(E) - Method in class edu.stanford.nlp.util.Interval
Checks whether the point p is contained inside this interval
contains(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
 
contains(Object) - Method in class edu.stanford.nlp.util.IntervalTree
 
contains(T) - Method in class edu.stanford.nlp.util.IntervalTree
 
contains(K1, K2, K3) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
contains(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
contains(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
 
contains(String) - Method in class edu.stanford.nlp.wordseg.ChineseDictionary
 
contains(String) - Method in class edu.stanford.nlp.wordseg.CorpusDictionary
 
CONTAINS_FIRST_ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
 
containsAll(Collection<?>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
 
containsAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
containsAll(Collection<?>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
containsAll(TwoDimensionalSet<? extends K1, ? extends K2>) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
 
containsAny(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
if any item in toCheck is present in collection
containsEdge(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
containsEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
containsFirstKey(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
containsFuzzy(Set<String>, String, int) - Static method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
containsIgnoreCase(Collection<String>, String) - Static method in class edu.stanford.nlp.util.StringUtils
Convenience method: a case-insensitive variant of Collection.contains
containsInSubarray(int[], int, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
containsInterval(T, boolean) - Method in class edu.stanford.nlp.util.IntervalTree
 
containsInterval(IntervalTree<E, T>, E, boolean) - Static method in class edu.stanford.nlp.util.IntervalTree
 
containsInterval(IntervalTree<E, T>, Interval<E>, boolean) - Static method in class edu.stanford.nlp.util.IntervalTree
 
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.ling.IndexedWord
 
containsKey(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
containsKey(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
containsKey(Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
containsKey(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns whether a Counter contains a key.
containsKey(E) - Method in interface edu.stanford.nlp.stats.Counter
Returns whether a Counter contains a key.
containsKey(E) - Method in class edu.stanford.nlp.stats.Distribution
 
containsKey(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Like ClassicCounter, this currently returns true if the count is explicitly 0.0 for something
containsKey(E) - Method in class edu.stanford.nlp.stats.IntCounter
 
containsKey(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
containsKey(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
containsKey(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
containsKey(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
Does the word exist in the dictionary?
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
Returns true if contains the given key.
containsKey(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
containsKey(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
containsKey(Object) - Method in class edu.stanford.nlp.util.DeltaMap
This is more expensive.
containsKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
 
containsKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
containsKey(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap
Returns true if contains the given key.
containsMention(Mention) - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
 
containsObject(Collection<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
Checks whether a Collection contains a specified Object.
containsOpen(E) - Method in class edu.stanford.nlp.util.Interval
 
containsSentId(String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
containsSentId(String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
 
containsValue(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
containsValue(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
containsValue(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Unsupported.
containsValue(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
containsValue(IntervalTree<E, T>, T) - Static method in class edu.stanford.nlp.util.IntervalTree
 
containsVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
containsVertex(V) - Method in interface edu.stanford.nlp.graph.Graph
 
containsVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
content - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
 
contextIncompatible(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
 
contextParseTree - Variable in class edu.stanford.nlp.dcoref.Mention
 
ContextsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ContextsAnnotation
 
Contingency(int, int, int, int) - Constructor for class edu.stanford.nlp.util.ConfusionMatrix.Contingency
 
ContinuationSymbol - Static variable in class edu.stanford.nlp.international.arabic.process.IOBUtils
 
continuingInputs() - Method in class edu.stanford.nlp.fsm.DFSAState
 
CONTROLLED_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "xsubj" grammatical relation.
ConversionOptions() - Constructor for class edu.stanford.nlp.time.JodaTimeUtils.ConversionOptions
 
convert(String) - Static method in class edu.stanford.nlp.util.DataFilePaths
 
ConvertByteArray - Class in edu.stanford.nlp.util
This is used to convert an array of double into byte array which makes it possible to keep it more efficiently.
convertFlagsToArray(String) - Static method in class edu.stanford.nlp.pipeline.ParserAnnotator
 
convertGrammarToGraphs(Pair<UnaryGrammar, BinaryGrammar>, Set<UnaryRule>, Set<BinaryRule>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
convertGraphsToGrammar(Set<TransducerGraph>, Set<UnaryRule>, Set<BinaryRule>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
convertIntermediateGraph(List<CoreLabel>) - Method in class edu.stanford.nlp.pipeline.AnnotationSerializer.IntermediateSemanticGraph
 
convertItemSpan(Item) - Method in interface edu.stanford.nlp.parser.lexparser.LatticeScorer
 
convertPath(List<V>, boolean) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
convertTextMatrix(String) - Static method in class edu.stanford.nlp.neural.NeuralUtils
 
convertToBytes(List<Tree>) - Method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
 
convertToBytes(IdentityHashMap<Tree, List<Tree>>) - Method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
 
convertToCoreLabels(Tree) - Static method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
Converts the tree labels to CoreLabels.
convertToCoreLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees
Converts the tree labels to CoreLabels.
convertToTrees(byte[]) - Static method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
 
convertToTrees(IdentityHashMap<Tree, byte[]>, int) - Static method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
 
convertToTrees(Collection<Tree>, IdentityHashMap<Tree, byte[]>, int) - Static method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
 
convertTree(List<Integer>, List<String>, Map<List<String>, Integer>, Map<Integer, Double>, PTBEscapingProcessor) - Static method in class edu.stanford.nlp.sentiment.ReadSentimentDataset
 
convertValueToBoolean(Value, boolean) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
convertValueToBooleanValue(Value, boolean) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
CoolingSchedule - Class in edu.stanford.nlp.sequences
 
CoolingSchedule() - Constructor for class edu.stanford.nlp.sequences.CoolingSchedule
 
COORDINATION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "coordination" grammatical relation.
COORDINATION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "coordination" grammatical relation.
CoordinationPattern - Class in edu.stanford.nlp.semgraph.semgrex
 
CoordinationPattern(boolean, List<SemgrexPattern>, boolean) - Constructor for class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
 
CoordinationTransformer - Class in edu.stanford.nlp.trees
Coordination transformer transforms a PennTreebank tree containing a coordination in a flat structure in order to get the dependencies right.
CoordinationTransformer(HeadFinder) - Constructor for class edu.stanford.nlp.trees.CoordinationTransformer
 
COPULA - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "copula" grammatical relation.
COPULA - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "copula" grammatical relation.
CopulaHeadFinder - Interface in edu.stanford.nlp.trees
A mix-in interface for HeadFinders which support the makesCopulaHead method, which says how the HeadFinder in question handles "to be" verbs.
copularWordRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
copulas - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
copy() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
 
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
 
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
 
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
 
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
 
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
 
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
Make a deep copy of the sequence pattern expressions
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
 
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
 
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
 
copy() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
 
copy(float[], float[]) - Static method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
copy(double[], double[]) - Static method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
copy() - Method in class edu.stanford.nlp.pipeline.Annotation
Copies the map, but not a deep copy.
copy(int[]) - Static method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
copy(long[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(double[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(double[][][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(float[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(float[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
copy(float[][][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
CopyAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CopyAnnotation
 
copyCount() - Method in class edu.stanford.nlp.ling.CoreLabel
 
copyCount() - Method in class edu.stanford.nlp.ling.IndexedWord
 
copyLexicalizedParser(LexicalizedParser) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
copyOf(double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
Simulate Arrays.copyOf method provided by Java 6 When/if the JavaNLP-core code base moves past Java 5, this method can be removed
copyTokens(List<CoreLabel>, CoreMap) - Static method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
Create a copy of srcTokens, detecting on the fly if character offsets need adjusting
copyUnsetAnnotations(CoreMap, CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Copies annotation over to this coremap if not already set
CoreAnnotation<V> - Interface in edu.stanford.nlp.ling
The base class for any annotation that can be marked on a CoreMap, parameterized by the type of the value associated with the annotation.
CoreAnnotations - Class in edu.stanford.nlp.ling
Set of common annotations for CoreMaps.
CoreAnnotations.AbbrAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AbgeneAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AbstrAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AfterAnnotation - Class in edu.stanford.nlp.ling
Annotation for the whitespace characters appear after this word.
CoreAnnotations.AnswerAnnotation - Class in edu.stanford.nlp.ling
The standard key for the answer which is a String
CoreAnnotations.AnswerObjectAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AntecedentAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the annotation's antecedent.
CoreAnnotations.ArgDescendentAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ArgumentAnnotation - Class in edu.stanford.nlp.ling
The standard key for a propbank label which is of type Argument
CoreAnnotations.AuthorAnnotation - Class in edu.stanford.nlp.ling
Author for the document (really should be a set of authors, but just have single string for simplicity)
CoreAnnotations.BagOfWordsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.BeAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.BeforeAnnotation - Class in edu.stanford.nlp.ling
Annotation for the whitespace characters appearing before this word.
CoreAnnotations.BeginIndexAnnotation - Class in edu.stanford.nlp.ling
This indexes the beginning of a span of words, e.g., a constituent in a tree.
CoreAnnotations.BestCliquesAnnotation - Class in edu.stanford.nlp.ling
Used in Task3 Pascal system
CoreAnnotations.BestFullAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CalendarAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the date and time associated with an annotation.
CoreAnnotations.CategoryAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CategoryFunctionalTagAnnotation - Class in edu.stanford.nlp.ling
The standard key for storing category with functional tags.
CoreAnnotations.CharacterOffsetBeginAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the offset of the first character of an annotation.
CoreAnnotations.CharacterOffsetEndAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the offset of the last character after the end of an annotation.
CoreAnnotations.CharAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ChineseCharAnnotation - Class in edu.stanford.nlp.ling
for Chinese: character level information, segmentation
CoreAnnotations.ChineseIsSegmentedAnnotation - Class in edu.stanford.nlp.ling
Not sure exactly what this is, but it is different from ChineseSegAnnotation and seems to indicate if the text is segmented
CoreAnnotations.ChineseOrigSegAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ChineseSegAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ChunkAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CoarseTagAnnotation - Class in edu.stanford.nlp.ling
CoNLL dep parsing - coarser POS tags.
CoreAnnotations.ColumnDataClassifierAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CommonWordsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CoNLLDepAnnotation - Class in edu.stanford.nlp.ling
CoNLL dep parsing - the dependency type
CoreAnnotations.CoNLLDepParentIndexAnnotation - Class in edu.stanford.nlp.ling
CoNLL dep parsing - the index of the word which is the parent of this word in the dependency tree
CoreAnnotations.CoNLLDepTypeAnnotation - Class in edu.stanford.nlp.ling
CoNLL dep parsing - the dependency type
CoreAnnotations.CoNLLPredicateAnnotation - Class in edu.stanford.nlp.ling
CoNLL SRL/dep parsing - whether the word is a predicate
CoreAnnotations.CoNLLSRLAnnotation - Class in edu.stanford.nlp.ling
CoNLL SRL/dep parsing - map which, for the current word, specifies its specific role for each predicate
CoreAnnotations.ContextsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CopyAnnotation - Class in edu.stanford.nlp.ling
Used in nlp.trees.
CoreAnnotations.CostMagnificationAnnotation - Class in edu.stanford.nlp.ling
Key for relative value of a word - used in RTE
CoreAnnotations.CovertIDAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.D2_LBeginAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.D2_LEndAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.D2_LMiddleAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DayAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DependentsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DictAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DistSimAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DoAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.DocDateAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DocIDAnnotation - Class in edu.stanford.nlp.ling
This refers to the unique identifier for a "document", where document may vary based on your application.
CoreAnnotations.DocSourceTypeAnnotation - Class in edu.stanford.nlp.ling
Document source type What kind of place did the document come from: newswire, discussion forum, web...
CoreAnnotations.DocTitleAnnotation - Class in edu.stanford.nlp.ling
Document title What is the document title
CoreAnnotations.DocTypeAnnotation - Class in edu.stanford.nlp.ling
Document type What kind of document is it: story, multi-part article, listing, email, etc
CoreAnnotations.DomainAnnotation - Class in edu.stanford.nlp.ling
Used in CRFClassifier stuff PositionAnnotation should possibly be an int - it's present as either an int or string depending on context CharAnnotation may be "CharacterAnnotation" - not sure
CoreAnnotations.EndIndexAnnotation - Class in edu.stanford.nlp.ling
This indexes the end of a span of words, e.g., a constituent in a tree.
CoreAnnotations.EntityClassAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.EntityRuleAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.EntityTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.FeaturesAnnotation - Class in edu.stanford.nlp.ling
The standard key for the features which is a Collection
CoreAnnotations.FemaleGazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.FirstChildAnnotation - Class in edu.stanford.nlp.ling
used in binarized trees to specify the first child in the rule for which this node is the parent
CoreAnnotations.ForcedSentenceEndAnnotation - Class in edu.stanford.nlp.ling
This indicates the sentence should end at this token.
CoreAnnotations.ForcedSentenceUntilEndAnnotation - Class in edu.stanford.nlp.ling
This indicates that starting at this token, the sentence should not be ended until we see a ForcedSentenceEndAnnotation.
CoreAnnotations.FreqAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GazetteerAnnotation - Class in edu.stanford.nlp.ling
The standard key for the gazetteer information
CoreAnnotations.GenericTokensAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the tokens (can be words, phrases or anything that are of type CoreMap) contained by an annotation.
CoreAnnotations.GeniaAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GoldAnswerAnnotation - Class in edu.stanford.nlp.ling
The standard key for gold answer which is a String
CoreAnnotations.GovernorAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GrandparentAnnotation - Class in edu.stanford.nlp.ling
specifies the base state of the parent of this node in the parse tree
CoreAnnotations.HaveAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.HeadWordStringAnnotation - Class in edu.stanford.nlp.ling
The key for storing a Head word as a string rather than a pointer (as in TreeCoreAnnotations.HeadWordAnnotation)
CoreAnnotations.HeightAnnotation - Class in edu.stanford.nlp.ling
Used in srl.unsup
CoreAnnotations.IDAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.IDFAnnotation - Class in edu.stanford.nlp.ling
Inverse document frequency of the word this label represents
CoreAnnotations.INAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.IndexAnnotation - Class in edu.stanford.nlp.ling
This indexes a token number inside a sentence.
CoreAnnotations.InterpretationAnnotation - Class in edu.stanford.nlp.ling
The standard key for the semantic interpretation
CoreAnnotations.IsDateRangeAnnotation - Class in edu.stanford.nlp.ling
it really seems like this should have a different name or else be a boolean
CoreAnnotations.IsURLAnnotation - Class in edu.stanford.nlp.ling
it really seems like this should have a different name or else be a boolean
CoreAnnotations.LabelAnnotation - Class in edu.stanford.nlp.ling
Used in wsd.supwsd package
CoreAnnotations.LabelWeightAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LastGazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LastTaggedAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LBeginAnnotation - Class in edu.stanford.nlp.ling
Used in Gale2007ChineseSegmenter
CoreAnnotations.LeftChildrenNodeAnnotation - Class in edu.stanford.nlp.ling
used in incremental DAG parser
CoreAnnotations.LeftTermAnnotation - Class in edu.stanford.nlp.ling
The Standard key for storing the left terminal number relative to the root of the tree of the leftmost terminal dominated by the current node
CoreAnnotations.LemmaAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the lemma (morphological stem) of a token.
CoreAnnotations.LEndAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LengthAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LineNumberAnnotation - Class in edu.stanford.nlp.ling
Line number for a sentence in a document delimited by newlines instead of punctuation.
CoreAnnotations.LinkAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LMiddleAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LocationAnnotation - Class in edu.stanford.nlp.ling
Reference location for the document
CoreAnnotations.MaleGazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MarkingAnnotation - Class in edu.stanford.nlp.ling
Another key used for propbank - to signify core arg nodes or predicate nodes
CoreAnnotations.MentionsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MentionTokenAnnotation - Class in edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.MonthAnnotation - Class in edu.stanford.nlp.ling
Used in nlp.coref
CoreAnnotations.MorphoCaseAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MorphoGenAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MorphoNumAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MorphoPersAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the token-level named entity tag (e.g., DATE, PERSON, etc.) This key is typically set on token annotations.
CoreAnnotations.NeighborsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NERIDAnnotation - Class in edu.stanford.nlp.ling
This is an NER ID annotation (in case the all caps parsing didn't work out for you...)
CoreAnnotations.NormalizedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
The key for the normalized value of numeric named entities.
CoreAnnotations.NotAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.NumericCompositeObjectAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericCompositeTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericCompositeValueAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericObjectAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericValueAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumerizedTokensAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumTxtSentencesAnnotation - Class in edu.stanford.nlp.ling
Used by RTE to track number of text sentences, to determine when hyp sentences begin.
CoreAnnotations.OriginalAnswerAnnotation - Class in edu.stanford.nlp.ling
Seems like this could be consolidated with something else...
CoreAnnotations.OriginalCharAnnotation - Class in edu.stanford.nlp.ling
Seems like this could be consolidated with something else...
CoreAnnotations.OriginalTextAnnotation - Class in edu.stanford.nlp.ling
The exact original surface form of a token.
CoreAnnotations.ParagraphAnnotation - Class in edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.ParagraphsAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the paragraphs contained by an annotation.
CoreAnnotations.ParaPositionAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ParentAnnotation - Class in edu.stanford.nlp.ling
The standard key for the parent which is a String
CoreAnnotations.PartOfSpeechAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the Penn part of speech of a token.
CoreAnnotations.PercentAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.PhraseWordsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PhraseWordsTagAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PolarityAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PositionAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PossibleAnswersAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PredictedAnswerAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.PrevChildAnnotation - Class in edu.stanford.nlp.ling
used in binarized trees to say the name of the most recent child
CoreAnnotations.PriorAnnotation - Class in edu.stanford.nlp.ling
Used in propbank.srl
CoreAnnotations.ProjectedCategoryAnnotation - Class in edu.stanford.nlp.ling
The standard key for storing a projected category in the map, as a String.
CoreAnnotations.ProtoAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.RoleAnnotation - Class in edu.stanford.nlp.ling
The standard key for the semantic role label of a phrase.
CoreAnnotations.SectionAnnotation - Class in edu.stanford.nlp.ling
Section of a document
CoreAnnotations.SectionDateAnnotation - Class in edu.stanford.nlp.ling
Date for a section of a document
CoreAnnotations.SectionEndAnnotation - Class in edu.stanford.nlp.ling
Indicates that the token end a section and the label of the section
CoreAnnotations.SectionIDAnnotation - Class in edu.stanford.nlp.ling
Id for a section of a document
CoreAnnotations.SectionStartAnnotation - Class in edu.stanford.nlp.ling
Indicates that the token starts a new section and the attributes that should go into that section
CoreAnnotations.SemanticHeadTagAnnotation - Class in edu.stanford.nlp.ling
The standard key for Semantic Head Word POS which is a String
CoreAnnotations.SemanticHeadWordAnnotation - Class in edu.stanford.nlp.ling
The standard key for Semantic Head Word which is a String
CoreAnnotations.SemanticTagAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SemanticWordAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SentenceIDAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SentenceIndexAnnotation - Class in edu.stanford.nlp.ling
Unique identifier within a document for a given sentence.
CoreAnnotations.SentencePositionAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.SentencesAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the sentences contained by an annotation.
CoreAnnotations.ShapeAnnotation - Class in edu.stanford.nlp.ling
The standard key for the "shape" of a word: a String representing the type of characters in a word, such as "Xx" for a capitalized word.
CoreAnnotations.SpaceBeforeAnnotation - Class in edu.stanford.nlp.ling
Used in Chinese segmenters for whether there was space before a character.
CoreAnnotations.SpanAnnotation - Class in edu.stanford.nlp.ling
The standard key for span which is an IntPair
CoreAnnotations.SpeakerAnnotation - Class in edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.SRL_ID - Enum in edu.stanford.nlp.ling
 
CoreAnnotations.SRLIDAnnotation - Class in edu.stanford.nlp.ling
The key for semantic role labels (Note: please add to this description if you use this key)
CoreAnnotations.SRLInstancesAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.StackedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the token-level named entity tag (e.g., DATE, PERSON, etc.) from a previous NER tagger.
CoreAnnotations.StateAnnotation - Class in edu.stanford.nlp.ling
The base version of the parser state, like NP or VBZ or ...
CoreAnnotations.StemAnnotation - Class in edu.stanford.nlp.ling
Morphological stem of the word this label represents
CoreAnnotations.SubcategorizationAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.TagLabelAnnotation - Class in edu.stanford.nlp.ling
Used in Trees
CoreAnnotations.TextAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the annotation's text.
CoreAnnotations.TokenBeginAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the first token included in an annotation.
CoreAnnotations.TokenEndAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the last token after the end of an annotation.
CoreAnnotations.TokensAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the tokens contained by an annotation.
CoreAnnotations.TopicAnnotation - Class in edu.stanford.nlp.ling
Used for Topic Assignments from LDA or its equivalent models.
CoreAnnotations.TrueCaseAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the token-level true case annotation (e.g., INIT_UPPER) This key is typically set on token annotations.
CoreAnnotations.TrueCaseTextAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the annotation's true-cased text.
CoreAnnotations.TrueTagAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.UBlockAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.UnaryAnnotation - Class in edu.stanford.nlp.ling
whether the node is the parent in a unary rule
CoreAnnotations.UnknownAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.UseMarkedDiscourseAnnotation - Class in edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.UtteranceAnnotation - Class in edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.UTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ValueAnnotation - Class in edu.stanford.nlp.ling
Contains the "value" - an ill-defined string used widely in MapLabel.
CoreAnnotations.VerbSenseAnnotation - Class in edu.stanford.nlp.ling
Probank key for the Verb sense given in the Propbank Annotation, should only be in the verbnode
CoreAnnotations.WebAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WordFormAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WordnetSynAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WordPositionAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.WordSenseAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.XmlContextAnnotation - Class in edu.stanford.nlp.ling
Used in CleanXMLAnnotator.
CoreAnnotations.XmlElementAnnotation - Class in edu.stanford.nlp.ling
Used in SimpleXMLAnnotator.
CoreAnnotations.YearAnnotation - Class in edu.stanford.nlp.ling
 
coref(Document) - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
Extracts coreference clusters.
coref(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.AnnotatorFactories
 
coref(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
Annotate for coreference
CorefAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefAnnotation
 
CorefChain - Class in edu.stanford.nlp.dcoref
Output of (deterministic) coref system.
CorefChain(CorefCluster, Map<Mention, IntTuple>) - Constructor for class edu.stanford.nlp.dcoref.CorefChain
 
CorefChain(int, Map<IntPair, Set<CorefChain.CorefMention>>, CorefChain.CorefMention) - Constructor for class edu.stanford.nlp.dcoref.CorefChain
Constructor required by CustomAnnotationSerializer
CorefChain.CorefMention - Class in edu.stanford.nlp.dcoref
Mention for coref output.
CorefChain.CorefMentionComparator - Class in edu.stanford.nlp.dcoref
 
CorefChain.MentionComparator - Class in edu.stanford.nlp.dcoref
 
CorefChainAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefChainAnnotation
 
CorefCluster - Class in edu.stanford.nlp.dcoref
One cluster for the SieveCoreferenceSystem.
CorefCluster(int) - Constructor for class edu.stanford.nlp.dcoref.CorefCluster
 
CorefCluster(int, Set<Mention>) - Constructor for class edu.stanford.nlp.dcoref.CorefCluster
 
CorefClusterAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefClusterAnnotation
 
corefClusterID - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
 
corefClusterID - Variable in class edu.stanford.nlp.dcoref.Mention
 
CorefClusterIdAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefClusterIdAnnotation
 
corefClusters - Variable in class edu.stanford.nlp.dcoref.Document
Clusters for coreferent mentions
CorefCoreAnnotations - Class in edu.stanford.nlp.dcoref
Similar to CoreAnnotations, but this class contains annotations made specifically for storing Coref data.
CorefCoreAnnotations() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations
 
CorefCoreAnnotations.CorefAnnotation - Class in edu.stanford.nlp.dcoref
The standard key for the coref label.
CorefCoreAnnotations.CorefChainAnnotation - Class in edu.stanford.nlp.dcoref
CorefChainID - CorefChain map.
CorefCoreAnnotations.CorefClusterAnnotation - Class in edu.stanford.nlp.dcoref
Set of all the CoreLabel objects which are coreferent with a CoreLabel.
CorefCoreAnnotations.CorefClusterIdAnnotation - Class in edu.stanford.nlp.dcoref
An integer representing a document-level unique cluster of coreferent entities.
CorefCoreAnnotations.CorefDestAnnotation - Class in edu.stanford.nlp.dcoref
Destination of the coreference link for this word (if any).
CorefCoreAnnotations.CorefGraphAnnotation - Class in edu.stanford.nlp.dcoref
Deprecated.
CorefDestAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefDestAnnotation
 
corefDict - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
CorefDictionaryMatch - Class in edu.stanford.nlp.dcoref.sievepasses
Sieve that uses the coreference dictionary for the technical domain developed by Recasens, Can and Jurafsky (NAACL 2013).
CorefDictionaryMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.CorefDictionaryMatch
 
corefDictPMI - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
coreferenceContextSize - Variable in class edu.stanford.nlp.pipeline.AnnotationOutputter.Options
Should a small window of context be provided with each coreference mention
coreferent(Document, CorefCluster, CorefCluster, Mention, Mention, Dictionaries, Set<Mention>, Semantics) - Method in class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve
Checks if two clusters are coreferent according to our sieve pass constraints
CorefGraphAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefGraphAnnotation
Deprecated.
 
CorefMention(Dictionaries.MentionType, Dictionaries.Number, Dictionaries.Gender, Dictionaries.Animacy, int, int, int, int, int, int, IntTuple, String) - Constructor for class edu.stanford.nlp.dcoref.CorefChain.CorefMention
 
CorefMention(Mention, IntTuple) - Constructor for class edu.stanford.nlp.dcoref.CorefChain.CorefMention
 
CorefMentionAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.CorefMentionAnnotation
 
CorefMentionComparator() - Constructor for class edu.stanford.nlp.dcoref.CorefChain.CorefMentionComparator
 
CorefMentionFinder - Interface in edu.stanford.nlp.dcoref
Interface for finding coref mentions in a document.
corefMentions - Variable in class edu.stanford.nlp.dcoref.CorefCluster
 
CorefScorer - Class in edu.stanford.nlp.dcoref
Wrapper for a coreference resolution score: MUC, B cubed, Pairwise.
coreKey - Variable in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup
 
CoreLabel - Class in edu.stanford.nlp.ling
A CoreLabel represents a single word with ancillary information attached using CoreAnnotations.
CoreLabel() - Constructor for class edu.stanford.nlp.ling.CoreLabel
Default constructor, calls super()
CoreLabel(int) - Constructor for class edu.stanford.nlp.ling.CoreLabel
Initializes this CoreLabel, pre-allocating arrays to hold up to capacity key,value pairs.
CoreLabel(CoreLabel) - Constructor for class edu.stanford.nlp.ling.CoreLabel
Returns a new CoreLabel instance based on the contents of the given CoreLabel.
CoreLabel(CoreMap) - Constructor for class edu.stanford.nlp.ling.CoreLabel
Returns a new CoreLabel instance based on the contents of the given CoreMap.
CoreLabel(Label) - Constructor for class edu.stanford.nlp.ling.CoreLabel
Returns a new CoreLabel instance based on the contents of the given label.
CoreLabel(String[], String[]) - Constructor for class edu.stanford.nlp.ling.CoreLabel
This constructor attempts to parse the String keys into Class keys.
CoreLabel.GenericAnnotation<T> - Interface in edu.stanford.nlp.ling
Class that all "generic" annotations extend.
CoreLabel.OutputFormat - Enum in edu.stanford.nlp.ling
 
coreLabelFactory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
a factory that vends CoreLabel tokens with default tokenization.
coreLabelFactory() - Static method in class edu.stanford.nlp.process.PTBTokenizer
 
CoreLabelTokenFactory - Class in edu.stanford.nlp.process
Constructs CoreLabels from Strings optionally with beginning and ending (character after the end) offset positions in an original text.
CoreLabelTokenFactory() - Constructor for class edu.stanford.nlp.process.CoreLabelTokenFactory
Constructor for a new token factory which will add in the word, the "current" annotation, and the begin/end position annotations.
CoreLabelTokenFactory(boolean) - Constructor for class edu.stanford.nlp.process.CoreLabelTokenFactory
Constructor that allows one to choose if index annotation indicating begin/end position will be included in the label.
CoreMap - Interface in edu.stanford.nlp.util
Base type for all annotatable core objects.
COREMAP_LIST_TO_STRING_CONVERTER - Static variable in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
 
COREMAP_TO_CHAR_OFFSETS_INTERVAL_FUNC - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
COREMAP_TO_TOKEN_OFFSETS_INTERVAL_FUNC - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
CoreMapAggregator - Class in edu.stanford.nlp.pipeline
Function that aggregates several core maps into one
CoreMapAggregator(Map<Class, CoreMapAttributeAggregator>) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAggregator
 
CoreMapAggregator(Map<Class, CoreMapAttributeAggregator>, Class) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAggregator
 
CoreMapAttributeAggregator - Class in edu.stanford.nlp.pipeline
Functions for aggregating token attributes.
CoreMapAttributeAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
CoreMapAttributeAggregator.ConcatAggregator - Class in edu.stanford.nlp.pipeline
 
CoreMapAttributeAggregator.ConcatCoreMapListAggregator<T extends CoreMap> - Class in edu.stanford.nlp.pipeline
 
CoreMapAttributeAggregator.ConcatListAggregator<T> - Class in edu.stanford.nlp.pipeline
 
CoreMapAttributeAggregator.MostFreqAggregator - Class in edu.stanford.nlp.pipeline
 
CoreMapExpressionExtractor<T extends MatchedExpression> - Class in edu.stanford.nlp.ling.tokensregex
Represents a list of assignment and extraction rules over sequence patterns.
CoreMapExpressionExtractor() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
Creates an empty instance with no rules
CoreMapExpressionExtractor(Env) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
Creates a default instance with the specified environment.
CoreMapExpressionExtractor(Env, List<SequenceMatchRules.Rule>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
Creates an instance with the specified environment and list of rules
CoreMapExpressionExtractor.Stage<T> - Class in edu.stanford.nlp.ling.tokensregex
Describes one stage of extraction
CoreMapExpressionNodePattern - Class in edu.stanford.nlp.ling.tokensregex
Pattern for matching a CoreMap using a generic expression
CoreMapExpressionNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
 
CoreMapExpressionNodePattern(Env, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
 
CoreMapExprNodePattern(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
CoreMapExtractRule(Env, Class, SequenceMatchRules.ExtractRule<T, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapExtractRule
 
CoreMapFunctionApplier(Env, Class, Function<T, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapFunctionApplier
 
CoreMapNode(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
CoreMapNodePattern - Class in edu.stanford.nlp.ling.tokensregex
Pattern for matching a CoreMap
CoreMapNodePattern(List<Pair<Class, NodePattern>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
CoreMapNodePattern(Pair<Class, NodePattern>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
CoreMapNodePattern(Class, NodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
CoreMapNodePattern.AbstractStringAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
 
CoreMapNodePattern.AttributesEqualMatchChecker - Class in edu.stanford.nlp.ling.tokensregex
 
CoreMapNodePattern.IntegerAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
 
CoreMapNodePattern.NilAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
 
CoreMapNodePattern.NotNilAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
 
CoreMapNodePattern.NumericAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
 
CoreMapNodePattern.SequenceRegexPattern<T> - Class in edu.stanford.nlp.ling.tokensregex
 
CoreMapNodePattern.StringAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
 
CoreMapNodePattern.StringAnnotationRegexPattern - Class in edu.stanford.nlp.ling.tokensregex
 
CoreMapNodePattern.StringInSetAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
 
CoreMapNodePatternTrigger - Class in edu.stanford.nlp.ling.tokensregex
Trigger for CoreMap Node Patterns.
CoreMapNodePatternTrigger(SequencePattern<CoreMap>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePatternTrigger
 
CoreMapNodePatternTrigger(Collection<? extends SequencePattern<CoreMap>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePatternTrigger
 
CoreMapSequenceMatchAction<T extends CoreMap> - Class in edu.stanford.nlp.ling.tokensregex
Performs a action on a matched sequence
CoreMapSequenceMatchAction() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction
 
CoreMapSequenceMatchAction.AnnotateAction<T extends CoreMap> - Class in edu.stanford.nlp.ling.tokensregex
 
CoreMapSequenceMatchAction.MergeAction - Class in edu.stanford.nlp.ling.tokensregex
 
CoreMapSequenceMatcher<T extends CoreMap> - Class in edu.stanford.nlp.ling.tokensregex
CoreMap Sequence Matcher for regular expressions for sequences over coremaps
CoreMapSequenceMatcher(SequencePattern<T>, List<? extends T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
 
CoreMapSequenceMatcher.BasicCoreMapSequenceMatcher - Class in edu.stanford.nlp.ling.tokensregex
 
CoreMapToListExtractRule(SequenceMatchRules.ExtractRule<List<? extends CoreMap>, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListExtractRule
 
CoreMapToListFunctionApplier(Env, Function<List<? extends CoreMap>, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListFunctionApplier
 
CoreMapVarNodePattern(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
CoreMapVarValue(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
CoreMapWordPattern(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
CoreTokenFactory<IN extends CoreMap> - Interface in edu.stanford.nlp.process
To make tokens like CoreMap or CoreLabel.
corporaDict - Variable in class edu.stanford.nlp.wordseg.NonDict2
 
CorpusChar - Class in edu.stanford.nlp.wordseg
Check tag of each character from 5 different corpora.
CorpusChar(String) - Constructor for class edu.stanford.nlp.wordseg.CorpusChar
 
CorpusDictionary - Class in edu.stanford.nlp.wordseg
Check if a bigram exists in bakeoff corpora.
CorpusDictionary(String) - Constructor for class edu.stanford.nlp.wordseg.CorpusDictionary
Load a dictionary of words.
CorpusDictionary(String, boolean) - Constructor for class edu.stanford.nlp.wordseg.CorpusDictionary
 
CorpusStats() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.CorpusStats
 
correct(double, int) - Static method in class edu.stanford.nlp.classify.PRCurve
 
correctDependencies(Collection<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
 
correctDependencies(Collection<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Destructively modify the TypedDependencyGraph to correct language-dependent dependencies.
correctGuesses - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
correctTags - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
'Correct' tags to produce verbs in VPs, etc.
correctTags - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
cosine(SimpleMatrix, SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Compute cosine distance between two column vectors.
cosine(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
cost(K, K, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.ExactMatchCost
 
cost(K, K, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MatchCostFunction.AbstractMatchCostFunction
 
cost(K, K, K, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MatchCostFunction.AbstractMatchCostFunction
 
cost(K, K, int) - Method in interface edu.stanford.nlp.ling.tokensregex.matcher.MatchCostFunction
 
CostMagnificationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CostMagnificationAnnotation
 
COUNT - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
countCloseToZero(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
countCommas(int, int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
Counter<E> - Interface in edu.stanford.nlp.stats
An Object to double map used for keeping weights or counts for objects.
counter - Variable in class edu.stanford.nlp.stats.Distribution
 
Counters - Class in edu.stanford.nlp.stats
Static methods for operating on Counters.
counterView() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns a read-only synchronous view (not a snapshot) of this as a ClassicCounter.
countHistory(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
countInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
countMergeEffects(Tree, Map<String, double[]>, Map<String, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
countMergeEffects(Tree, Map<String, double[]>, Map<String, double[]>, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
countNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
countNegative(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
countNewLines(String, int, int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
countNonZero(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
countOriginalStates() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
Count all the internal labels in all the trees, and set their initial state counts to 1.
countPositive(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
countResults(List<IN>, Counter<String>, Counter<String>, Counter<String>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Count results using a method appropriate for the tag scheme being used.
countResults(List<? extends CoreMap>, Counter<String>, Counter<String>, Counter<String>, String) - Static method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Count the successes and failures of the model on the given document.
countResults(List<CoreLabel>, Counter<String>, Counter<String>, Counter<String>, String, Counter<String>, Counter<String>, Counter<String>, Counter<String>, Class<? extends TypesafeMap.Key<String>>, boolean) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
countResultsIOB(List<? extends CoreMap>, Counter<String>, Counter<String>, Counter<String>, String) - Static method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
countResultsIOB2(List<? extends CoreMap>, Counter<String>, Counter<String>, Counter<String>, String) - Static method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
countResultsPerEntity(List<CoreLabel>, Counter<String>, Counter<String>, Counter<String>, String, Counter<String>, Counter<String>, Counter<String>, Counter<String>, Class<? extends TypesafeMap.Key<String>>) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
COPIED from CRFClassifier: Count the successes and failures of the model on the given document.
countResultsPerToken(List<CoreLabel>, Counter<String>, Counter<String>, Counter<String>, String, Counter<String>, Counter<String>, Counter<String>, Counter<String>, Class<? extends TypesafeMap.Key<String>>) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
Count the successes and failures of the model on the given document ***token-based***.
countResultsSegmenter(List<? extends CoreMap>, Counter<String>, Counter<String>, Counter<String>) - Static method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
countries - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
COUNTRIES_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
countSpanErrors(TreebankLanguagePack, Tree, Tree) - Static method in class edu.stanford.nlp.parser.metrics.TreeSpanScoring
Counts how many spans are present in goldTree, including preterminals, but not present in guessTree, along with how many spans are present in guessTree and not goldTree.
countTree(Tree) - Method in class edu.stanford.nlp.neural.rnn.TopNGramRecord
Adds the tree and all its subtrees to the appropriate PriorityQueues for each predicted class.
countVerbs(int, int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
CountWrapper - Class in edu.stanford.nlp.tagger.maxent
A simple data structure for some tag counts.
CountWrapper() - Constructor for class edu.stanford.nlp.tagger.maxent.CountWrapper
 
CountWrapper(String, int, int, int, int) - Constructor for class edu.stanford.nlp.tagger.maxent.CountWrapper
 
covariance(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
CovertIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CovertIDAnnotation
 
cp(File, File, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
An implementation of cp, as close to the Unix command as possible.
cp(File, File) - Static method in class edu.stanford.nlp.io.IOUtils
 
cPosDef - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
create(Env) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRuleCreator
 
create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRuleCreator
 
create(Env, SequencePattern.PatternExpr, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CompositeExtractRuleCreator
 
create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CompositeExtractRuleCreator
 
create(Env, String, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TextPatternExtractRuleCreator
 
create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TextPatternExtractRuleCreator
 
create(Env, SequencePattern.PatternExpr, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TokenPatternExtractRuleCreator
 
create(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TokenPatternExtractRuleCreator
 
create() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequenceEndPatternExpr
 
create() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequenceStartPatternExpr
 
create() - Method in class edu.stanford.nlp.pipeline.AnnotatorFactory
Creates and returns an Annotator given the local properties.
create(Expressions.CompositeValue) - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
 
create() - Method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
 
create(String, Properties) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
 
create(String) - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
 
create(String, String, Properties) - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
 
create(int, float, boolean, String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap
Creates a new file-backed CacheMap or loads it in from the specified file if it already exists.
create(int, float, String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap
 
create(int, String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap
 
create(String, boolean) - Static method in class edu.stanford.nlp.util.CacheMap
 
create() - Method in interface edu.stanford.nlp.util.Factory
Creates and returns a new instance of the given type.
create(String) - Static method in class edu.stanford.nlp.util.MetaClass
Creates a new MetaClass (helper method)
create(Class<?>) - Static method in class edu.stanford.nlp.util.MetaClass
Creates a new MetaClass (helper method)
CREATE_REGEX_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
createAnnotationExtractor(Env, SequenceMatchRules.AnnotationExtractRule) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
createArrays(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
createAssignmentRule(Env, AssignableExpression, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
createClassifier(double[]) - Method in interface edu.stanford.nlp.classify.ClassifierCreator
 
createClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
 
createCoreMap(CoreMap, String, int, int, CoreTokenFactory<T>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
createDataset(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
createDataset(List<CoreMap>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
Given a list of sentences (as CoreMaps), wrap it in a new Annotation.
createDatum(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
createDatum(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
createDatum(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
 
createDatum(RelationMention, Logger) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
 
createDatum(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
 
createDatum(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
 
createDatum(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
 
createDocument() - Static method in class edu.stanford.nlp.time.XMLUtils
 
createElement(String) - Static method in class edu.stanford.nlp.time.XMLUtils
 
createExtractionRule(Env, Map<String, Object>) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
createExtractionRule(Env, String, Object, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
createExtractor() - Method in class edu.stanford.nlp.time.GenericTimeExpressionPatterns
 
createExtractor() - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
 
createExtractor(String, Properties) - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
 
createExtractor() - Method in interface edu.stanford.nlp.time.TimeExpressionPatterns
Creates a CoreMapExpressionExtractor that knows how to extract time related expressions from text into CoreMaps
createExtractorFromFile(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
Creates an extractor using the specified environment, and reading the rules from the given filename.
createExtractorFromFiles(Env, String...) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
Creates an extractor using the specified environment, and reading the rules from the given filenames
createExtractorFromFiles(Env, List<String>) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
Creates an extractor using the specified environment, and reading the rules from the given filenames.
createExtractorFromString(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
Creates an extractor using the specified environment, and reading the rules from the given string
createFactory(Class<?>...) - Method in class edu.stanford.nlp.util.MetaClass
Creates a factory for producing instances of this class from a constructor taking the given types as arguments
createFactory(String...) - Method in class edu.stanford.nlp.util.MetaClass
Creates a factory for producing instances of this class from a constructor taking the given types as arguments
createFactory(Object...) - Method in class edu.stanford.nlp.util.MetaClass
Creates a factory for producing instances of this class from a constructor taking objects of the types given
createGraphFromPaths(List, int) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
If markovOrder is zero, we always transition back to the start state If markovOrder is negative, we assume that it is infinite
createGraphFromPaths(ClassicCounter<List<T>>, int) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
 
createIndex() - Method in class edu.stanford.nlp.maxent.Experiments
 
createIndex(Map<String, List<CoreLabel>>, Properties, Set<String>, String, Function<CoreLabel, Map<String, String>>) - Static method in class edu.stanford.nlp.patterns.surface.InvertedIndexByTokens
 
createIndex(Class<? extends SentenceIndex>, Map<String, List<CoreLabel>>, Properties, Set<String>, String, Function<CoreLabel, Map<String, String>>) - Static method in class edu.stanford.nlp.patterns.surface.SentenceIndex
 
createIndexIfUsingDBAndNotExists() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
 
createIndexIfUsingDBAndNotExists() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
createIndexIfUsingDBAndNotExists() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
 
createInstance(Object...) - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
Creates an instance of the class produced in this factory
createInstance(Object...) - Method in class edu.stanford.nlp.util.MetaClass
Create an instance of the class, inferring the type automatically, and given an array of objects as constructor parameters NOTE: the resulting instance will [unlike java] invoke the most narrow constructor rather than the one which matches the signature passed to this function
createInstance(Class<E>, Object...) - Method in class edu.stanford.nlp.util.MetaClass
Creates an instance of the class, forcing a cast to a certain type and given an array of objects as constructor parameters NOTE: the resulting instance will [unlike java] invoke the most narrow constructor rather than the one which matches the signature passed to this function
createLinearClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
 
createMatchedExpression(Interval<Integer>, Interval<Integer>) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
createPats - Variable in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
createPattern(String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
 
CreatePatterns - Class in edu.stanford.nlp.patterns.surface
 
CreatePatterns(Properties, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.surface.CreatePatterns
 
CreatePatterns.CreatePatternsThread - Class in edu.stanford.nlp.patterns.surface
 
CreatePatternsThread(Map<String, List<CoreLabel>>, List<String>, Properties, ConstantsAndVariables.PatternForEachTokenWay) - Constructor for class edu.stanford.nlp.patterns.surface.CreatePatterns.CreatePatternsThread
 
createProbabilisticClassifier(double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
 
createProbabilisticClassifier(double[]) - Method in interface edu.stanford.nlp.classify.ProbabilisticClassifierCreator
 
createRandomGraph(int, int, double, int, List) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
For testing only.
createRandomPaths(int, int, double, int) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
 
createRecord(Properties, String) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
createRecords(Properties, String) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
createRule(Env, Expressions.CompositeValue) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
CreateSubtreeNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon
Given the start and end children of a particular node, takes all children between start and end (including the endpoints) and combines them in a new node with the given label.
CreateSubtreeNode(TsurgeonPattern, AuxiliaryTree) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.CreateSubtreeNode
 
CreateSubtreeNode(TsurgeonPattern, TsurgeonPattern, AuxiliaryTree) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.CreateSubtreeNode
 
createTemporal(SUTime.StandardTemporalType, T) - Static method in class edu.stanford.nlp.time.SUTime
 
createTemporal(SUTime.StandardTemporalType, String, T) - Static method in class edu.stanford.nlp.time.SUTime
 
createTemporal(SUTime.StandardTemporalType, String, String, T) - Static method in class edu.stanford.nlp.time.SUTime
 
createTemporal(int) - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
 
createTemporal(int) - Method in enum edu.stanford.nlp.time.SUTime.TimeUnit
 
createTestDatum(RelationMention, Logger) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
 
createTestDatum(RelationMention, Logger) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
 
createTextNode(String) - Static method in class edu.stanford.nlp.time.XMLUtils
 
createTextPatternRule(Env, String, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
createTokenPatternRule(Env, SequencePattern.PatternExpr, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
CreateTransitionSequence - Class in edu.stanford.nlp.parser.shiftreduce
 
createTransitionSequence(Tree) - Static method in class edu.stanford.nlp.parser.shiftreduce.CreateTransitionSequence
 
createTransitionSequence(Tree, boolean, Set<String>, Set<String>) - Static method in class edu.stanford.nlp.parser.shiftreduce.CreateTransitionSequence
 
createTransitionSequences(List<Tree>, boolean, Set<String>, Set<String>) - Static method in class edu.stanford.nlp.parser.shiftreduce.CreateTransitionSequence
 
createUnrelatedRelation(RelationMentionFactory, ExtractionObject...) - Static method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
createUnrelatedRelations - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
If true, it creates automatically negative examples by generating all combinations between EntityMentions in a sentence This is the common behavior, but for some domain (i.e., KBP) it must disabled.
createUnrelatedRelations - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
createUpsertFunction() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
createUpsertFunctionPatternIndex() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
createValue(String, T, String...) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
CRFBiasedClassifier<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
CRFBiasedClassifier is used to adjust the precision-recall tradeoff of any CRF model implemented using CRFClassifier.
CRFBiasedClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
 
CRFBiasedClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
 
CRFClassifier<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
Class for Sequence Classification using a Conditional Random Field model.
CRFClassifier() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
 
CRFClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
 
CRFClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
 
CRFClassifier(CRFClassifier<IN>) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifier
Makes a copy of the crf classifier
CRFClassifierEvaluator<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
Evaluates CRFClassifier on a set of data - called by QNMinimizer periodically - If evalCmd is set, runs command line specified by evalCmd otherwise does evaluation internally NOTE: when running conlleval with exec on Linux, linux will first fork process by duplicating memory of current process.
CRFClassifierEvaluator(String, CRFClassifier<IN>, Collection<List<IN>>, List<Triple<int[][][], int[], double[][][]>>) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
 
CRFClassifierEvaluator(String, CRFClassifier<IN>) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
 
CRFClassifierFloat<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
Subclass of CRFClassifier that performs dropout feature-noisying training
CRFClassifierFloat() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierFloat
 
CRFClassifierFloat(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierFloat
 
CRFClassifierFloat(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierFloat
 
CRFClassifierNoisyLabel<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
Subclass of CRFClassifier for modeling noisy label
CRFClassifierNoisyLabel(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNoisyLabel
 
CRFClassifierNonlinear<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
Subclass of CRFClassifier for implementing the nonlinear architecture in [Wang and Manning IJCNLP-2013 Effect of Nonlinear ...].
CRFClassifierNonlinear() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
 
CRFClassifierNonlinear(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
 
CRFClassifierNonlinear(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
 
CRFClassifierWithDropout<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
Subclass of CRFClassifier that performs dropout feature-noising training.
CRFClassifierWithDropout(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithDropout
 
CRFClassifierWithLOP<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
Subclass of CRFClassifier for learning Logarithmic Opinion Pools.
CRFClassifierWithLOP() - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithLOP
 
CRFClassifierWithLOP(Properties) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithLOP
 
CRFClassifierWithLOP(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.CRFClassifierWithLOP
 
CRFCliqueTree<E> - Class in edu.stanford.nlp.ie.crf
Builds a CliqueTree (an array of FactorTable) and does message passing inference along it.
CRFCliqueTree(FactorTable[], Index<E>, E) - Constructor for class edu.stanford.nlp.ie.crf.CRFCliqueTree
Initialize a clique tree
CRFDatum<FEAT,LAB> - Class in edu.stanford.nlp.ie.crf
The representation of Datums used internally in CRFClassifier.
CRFDatum(List<FEAT>, LAB, List<double[]>) - Constructor for class edu.stanford.nlp.ie.crf.CRFDatum
Constructs a new BasicDatum with the given features and label.
CRFFeatureExporter<IN extends CoreMap> - Class in edu.stanford.nlp.ie.crf
Exports CRF features for use with other programs.
CRFFeatureExporter(CRFClassifier<IN>) - Constructor for class edu.stanford.nlp.ie.crf.CRFFeatureExporter
 
CRFLabel - Class in edu.stanford.nlp.ie.crf
 
CRFLabel(int[]) - Constructor for class edu.stanford.nlp.ie.crf.CRFLabel
 
CRFLogConditionalObjectiveFloatFunction - Class in edu.stanford.nlp.ie.crf
 
CRFLogConditionalObjectiveFunction - Class in edu.stanford.nlp.ie.crf
 
CRFLogConditionalObjectiveFunctionForLOP - Class in edu.stanford.nlp.ie.crf
 
CRFLogConditionalObjectiveFunctionNoisyLabel - Class in edu.stanford.nlp.ie.crf
 
CRFLogConditionalObjectiveFunctionWithDropout - Class in edu.stanford.nlp.ie.crf
 
CRFNonLinearLogConditionalObjectiveFunction - Class in edu.stanford.nlp.ie.crf
 
CRFNonLinearSecondOrderLogConditionalObjectiveFunction - Class in edu.stanford.nlp.ie.crf
 
CRForder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
crfSegmenterProp - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
crfType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
CRFwindow - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
cross(Set<E>, Set<F>) - Static method in class edu.stanford.nlp.util.Sets
Returns the set cross product of s1 and s2, as Pairs
CROSS_OUT - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
crossEntropy(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Note that this implementation doesn't normalize the "from" Counter.
crosses(Constituent) - Method in class edu.stanford.nlp.trees.Constituent
Detects whether this constituent overlaps a constituent without nesting, that is, whether they "cross".
crosses(Collection<Constituent>) - Method in class edu.stanford.nlp.trees.Constituent
Detects whether this constituent overlaps any of a Collection of Constituents without nesting, that is, whether it "crosses" any of them.
crossValidate(GeneralDataset<String, String>, List<String[]>) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Run cross-validation on a dataset, and return accuracy and macro-F1 scores.
crossValidate - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
crossValidateSetC(GeneralDataset<L, F>, int, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
This method will cross validate on the given data and number of folds to find the optimal C.
crossValidateSetSigma(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Calls the method LinearClassifierFactory.crossValidateSetSigma(GeneralDataset, int) with 5-fold cross-validation.
crossValidateSetSigma(GeneralDataset<L, F>, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Calls the method LinearClassifierFactory.crossValidateSetSigma(GeneralDataset, int, Scorer, LineSearcher) with multi-class log-likelihood scoring (see MultiClassAccuracyStats) and golden-section line search (see GoldenSectionLineSearch).
crossValidateSetSigma(GeneralDataset<L, F>, int, Scorer<L>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
crossValidateSetSigma(GeneralDataset<L, F>, int, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
crossValidateSetSigma(GeneralDataset<L, F>, int, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the sigma parameter to a value that optimizes the cross-validation score given by scorer.
CrossValidator<L,F> - Class in edu.stanford.nlp.classify
This class is meant to simplify performing cross validation of classifiers for hyper-parameters.
CrossValidator(GeneralDataset<L, F>) - Constructor for class edu.stanford.nlp.classify.CrossValidator
 
CrossValidator(GeneralDataset<L, F>, int) - Constructor for class edu.stanford.nlp.classify.CrossValidator
 
CrossValidator.SavedState - Class in edu.stanford.nlp.classify
 
ctb_pre_dict - Variable in class edu.stanford.nlp.tagger.maxent.CtbDict
 
ctb_suf_dict - Variable in class edu.stanford.nlp.tagger.maxent.CtbDict
 
CtbDict - Class in edu.stanford.nlp.tagger.maxent
 
CTBErrorCorrectingTreeNormalizer - Class in edu.stanford.nlp.trees.international.pennchinese
This was originally written to correct a few errors Galen found in CTB3.
CTBErrorCorrectingTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
Constructor with all of the options of the other constructor false
CTBErrorCorrectingTreeNormalizer(boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
Build a CTBErrorCorrectingTreeNormalizer.
CTBErrorCorrectingTreeNormalizer.CTBErrorCorrectingTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese
So you can create a TreeReaderFactory using this TreeNormalizer easily by reflection.
CTBErrorCorrectingTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer.CTBErrorCorrectingTreeReaderFactory
 
CTBTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese
The CTBTreeReaderFactory is a factory for creating a TreeReader suitable for the Penn Chinese Treebank (CTB).
CTBTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
 
CTBTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
 
CTBTreeReaderFactory(TreeNormalizer, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
 
CTBTreeReaderFactory.NoEmptiesCTBTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese
 
CTBunkDict - Class in edu.stanford.nlp.tagger.maxent
 
CUR_WORD_MIN_FEATURE_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
curElement - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
curF1 - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
 
CURRENCY_SYMBOL_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
CURRENCY_WORD_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
current() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
The current Redwood configuration; this is used to make incremental changes to an existing custom configuration.
currentDocumentID - Variable in class edu.stanford.nlp.dcoref.MentionExtractor
 
currentPatternWeights - Variable in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
currentToken - Variable in exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
This is the last token that has been consumed successfully.
currentToken - Variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException
This is the last token that has been consumed successfully.
currentToken - Variable in exception edu.stanford.nlp.trees.tregex.ParseException
This is the last token that has been consumed successfully.
currentToken - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
This is the last token that has been consumed successfully.
custom(Properties, String) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
 
CUSTOM_ANNOTATOR_PREFIX - Static variable in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
CustomAnnotationSerializer - Class in edu.stanford.nlp.pipeline
Serializes Annotation objects using our own format.
CustomAnnotationSerializer() - Constructor for class edu.stanford.nlp.pipeline.CustomAnnotationSerializer
 
CustomAnnotationSerializer(boolean, boolean) - Constructor for class edu.stanford.nlp.pipeline.CustomAnnotationSerializer
 
CustomDateFormatExtractor(String, String) - Constructor for class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
 
CUT_LABEL - Static variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
CUTOFFS - Static variable in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
Minimum support * KL to be included in output and as feature
CUTOFFS - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
Minimum support * KL to be included in output and as feature
cvAveragedModels - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
Cross-validate over the number of models to average, using the dev set, to figure out which number between 1 and averagedModels we actually want to use
cwa() - Method in class edu.stanford.nlp.classify.PRCurve
confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
cwaArray() - Method in class edu.stanford.nlp.classify.PRCurve
confidence weighted accuracy assuming the scores are probabilities and using .5 as treshold
CYAN - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 

D

d - Variable in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
d - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer.Weights
 
D2_LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LBeginAnnotation
 
D2_LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LEndAnnotation
 
D2_LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LMiddleAnnotation
 
DAILY - Static variable in class edu.stanford.nlp.time.SUTime
 
dampDDStepSizeWithAlignmentProb - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
data - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
data - Variable in class edu.stanford.nlp.classify.GeneralDataset
 
data - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Normally, this contains the data.
data - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
data - Variable in class edu.stanford.nlp.maxent.Problem
This is the training data.
Data - Class in edu.stanford.nlp.patterns.surface
 
Data() - Constructor for class edu.stanford.nlp.patterns.surface.Data
 
dataDimension() - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
dataDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
dataDimension() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
Data dimension must return the size of the data used by the function.
DataFilePaths - Class in edu.stanford.nlp.util
Simple utility class: reads the environment variable in ENV_VARIABLE and provides a method that converts strings which start with that environment variable to file paths.
DataGeneric - Class in edu.stanford.nlp.maxent
A class representing a data item with an array of inputs X and a String classification Y.
DataGeneric() - Constructor for class edu.stanford.nlp.maxent.DataGeneric
 
dataIterable - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Alternatively, the data may be available from an Iterable in not yet indexed form.
DataSentsIterator(boolean) - Constructor for class edu.stanford.nlp.patterns.surface.ConstantsAndVariables.DataSentsIterator
 
Dataset<L,F> - Class in edu.stanford.nlp.classify
An interfacing class for ClassifierFactory that incrementally builds a more memory-efficient representation of a List of Datum objects for the purposes of training a Classifier with a ClassifierFactory.
Dataset() - Constructor for class edu.stanford.nlp.classify.Dataset
 
Dataset(int) - Constructor for class edu.stanford.nlp.classify.Dataset
 
Dataset(int, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.Dataset
 
Dataset(Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.Dataset
 
Dataset(Index<L>, int[], Index<F>, int[][]) - Constructor for class edu.stanford.nlp.classify.Dataset
Constructor that fully specifies a Dataset.
Dataset(Index<L>, int[], Index<F>, int[][], int) - Constructor for class edu.stanford.nlp.classify.Dataset
Constructor that fully specifies a Dataset.
Dataset - Class in edu.stanford.nlp.parser.nndep
Defines a list of training / testing examples in multi-class classification setting.
datasetAuxReaderClass - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
datasetReaderClass - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
datasetToString(CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
dataweights - Variable in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
dataWeights - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
dataweights - Variable in class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
DataWordTag - Class in edu.stanford.nlp.tagger.maxent
 
DATE - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
dateTimePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
DateTreeTransformer - Class in edu.stanford.nlp.trees
Flattens the following two structures:
(NP (NP (NNP Month) (CD Day) ) (, ,) (NP (CD Year) ))
becomes
(NP (NNP Month) (CD Day) (, ,) (CD Year) )
(NP (NP (NNP Month) ) (NP (CD Year) ))
becomes
(NP (NNP Month) (CD Year))
DateTreeTransformer() - Constructor for class edu.stanford.nlp.trees.DateTreeTransformer
 
Datum<L,F> - Interface in edu.stanford.nlp.ling
Interface for Objects which can be described by their features.
DAWN - Static variable in class edu.stanford.nlp.time.SUTime
 
DAY - Static variable in class edu.stanford.nlp.time.SUTime
 
day - Variable in class edu.stanford.nlp.time.SUTime.IsoDate
Day of Month
DAY_OF_HALF_MONTH - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
 
DayAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DayAnnotation
 
daysPerMonth - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
 
DAYTIME - Static variable in class edu.stanford.nlp.time.SUTime
 
DBG - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
DBG - Static variable in class edu.stanford.nlp.util.logging.Redwood
 
DBG - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
dbLocation - Static variable in class edu.stanford.nlp.patterns.surface.SQLConnection
 
dbpassword - Static variable in class edu.stanford.nlp.patterns.surface.SQLConnection
 
DBTableExists() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
dbusername - Static variable in class edu.stanford.nlp.patterns.surface.SQLConnection
 
dcTags - Variable in class edu.stanford.nlp.parser.lexparser.Options
"double count" tags rewrites as word in PCFG and Dep parser.
deannotateTrees(List<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
 
Debinarizer - Class in edu.stanford.nlp.parser.lexparser
Debinarizes a binary tree from the parser.
Debinarizer(boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.Debinarizer
 
Debinarizer(boolean, LabelFactory) - Constructor for class edu.stanford.nlp.parser.lexparser.Debinarizer
 
DEBUG - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
DEBUG - Static variable in class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
 
DEBUG - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
debug - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Debug flag for learning patterns.
DEBUG - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
debug(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
 
debug(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
DEBUG2 - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
DEBUG3 - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
DEBUG_LEXICON - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
DEBUG_LEXICON_SCORE - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
debugOutputEpochs - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
 
debugOutputFrequency - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
If larger than 0, the parser may choose to output debug information every X seconds, X iterations, or some other similar metric
debugPrintMentions(PrintStream, String, List<List<Mention>>) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
DECADE - Static variable in class edu.stanford.nlp.time.SUTime
 
DecadeOfCentury - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
Decades - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
DECEMBER - Static variable in class edu.stanford.nlp.time.SUTime
 
decimate(Writer, Writer, Writer) - Method in class edu.stanford.nlp.trees.Treebank
Divide a Treebank into 3, by taking every 9th sentence for the dev set and every 10th for the test set.
DECNUM - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
decreaseKey(E) - Method in class edu.stanford.nlp.util.ArrayHeap
Changes the position of an element o in the heap based on a change in the ordering of o.
decreaseKey(E) - Method in interface edu.stanford.nlp.util.Heap
Raises the priority of an object in the heap.
decreasePriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Demotes a key in the queue, adding it if it wasn't there already.
decrementBatch(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
decrementBatch - This decrements the curElement variable by the amount batchSize.
decrementCount(E, double) - Method in class edu.stanford.nlp.stats.AbstractCounter
 
decrementCount(E) - Method in class edu.stanford.nlp.stats.AbstractCounter
 
decrementCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Decrements the count for this key by the given value.
decrementCount(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
Decrements the count for this key by 1.0.
decrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
Decrements the count for this key by the given value.
decrementCount(E) - Method in interface edu.stanford.nlp.stats.Counter
Decrements the count for this key by 1.0.
decrementCount(E, int) - Method in class edu.stanford.nlp.stats.IntCounter
Subtracts the given count from the current count for the given key.
decrementCount(E) - Method in class edu.stanford.nlp.stats.IntCounter
Subtracts 1 from the count for the given key.
decrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
decrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
decrementCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
decrementCount(K1, K2, double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
decrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
decrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
decrementCount(K1, K2, int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
decrementCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter
Subtracts the given count from the current counts for each of the given keys.
decrementCounts(Collection<E>) - Method in class edu.stanford.nlp.stats.IntCounter
Subtracts 1 from the counts of each of the given keys.
deepCopy(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
deepCopy() - Method in class edu.stanford.nlp.trees.Tree
Makes a deep copy of not only the Tree structure but of the labels as well.
deepCopy(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Makes a deep copy of not only the Tree structure but of the labels as well.
deepCopy(TreeFactory, LabelFactory) - Method in class edu.stanford.nlp.trees.Tree
Makes a deep copy of not only the Tree structure but of the labels as well.
deepCopy(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
deepCopy() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
deepCopyFromGraphs(List<SemanticGraph>, List<Integer>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Like makeFromGraphs, but it makes a deep copy of the graphs and renumbers the index words.
deepMentionCopy(CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
Creates a deep copy of the given dataset with new lists for all mentions (entity, relation, event)
DeepTree - Class in edu.stanford.nlp.trees
A tree combined with a map from subtree to SimpleMatrix vectors.
DeepTree(Tree, IdentityHashMap<Tree, SimpleMatrix>, double) - Constructor for class edu.stanford.nlp.trees.DeepTree
 
DEFAULT_AGGREGATOR - Static variable in class edu.stanford.nlp.pipeline.CoreMapAggregator
 
DEFAULT_AGGREGATORS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
DEFAULT_ALLOW_FLAWS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
DEFAULT_BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
 
DEFAULT_BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DEFAULT_BATCH_SIZE - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
When training using batches of trees, such as in the DVParser, how many trees to use in one batch
DEFAULT_BEAM_SIZE - Static variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
 
DEFAULT_BOUNDARY_FOLLOWERS - Static variable in class edu.stanford.nlp.process.WordToSentenceProcessor
 
DEFAULT_BOUNDARY_REGEX - Static variable in class edu.stanford.nlp.process.WordToSentenceProcessor
 
DEFAULT_CHINESE_ENCODING - Static variable in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
DEFAULT_CLASS_NAMES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
 
DEFAULT_CLASSIFIER - Static variable in class edu.stanford.nlp.ie.crf.CRFClassifier
Name of default serialized classifier resource to look for in a jar file.
DEFAULT_CLASSIFIER - Static variable in class edu.stanford.nlp.ie.ner.CMMClassifier
Default place to look in Jar file for classifier.
DEFAULT_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
DEFAULT_DATE_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
DEFAULT_DCOREF_ANIMATE - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_DCOREF_COUNTRIES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_DCOREF_DEMONYM - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_DCOREF_DICT1 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_DCOREF_DICT2 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_DCOREF_DICT3 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_DCOREF_DICT4 - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_DCOREF_GENDER_NUMBER - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_DCOREF_INANIMATE - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_DCOREF_NE_SIGNATURES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_DCOREF_SINGLETON_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_DCOREF_STATES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_DCOREF_STATES_AND_PROVINCES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_DELTA_MARGIN - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
DEFAULT_DISTRIBUTION_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
DEFAULT_DOC_ANNOTATIONS_PATTERNS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
DEFAULT_DOCID_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
DEFAULT_DOCTYPE_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
DEFAULT_ENCODING - Static variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Use this as the default encoding for Readers and Writers of Treebank data.
DEFAULT_ENCODING - Static variable in interface edu.stanford.nlp.trees.TreebankLanguagePack
Use this as the default encoding for Readers and Writers of Treebank data.
DEFAULT_ENCODING - Static variable in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
DEFAULT_EQUIVALENCE_CLASS_NAMES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
 
DEFAULT_EXTRACT_RULE_CREATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
DEFAULT_EXTRACTOR_PRESENT - Static variable in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
 
DEFAULT_FORMAT - Static variable in class edu.stanford.nlp.ling.CoreLabel
 
DEFAULT_GENDER_FIRST_NAMES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_GF_CHAR - Static variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
 
DEFAULT_GOLD_FILENAME - Static variable in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
 
DEFAULT_JAR_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
DEFAULT_K_BEST - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
When training the DV parsing method, how many of the top K trees to analyze from the underlying parser
DEFAULT_LEARNING_RATE - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
DEFAULT_MERGE_ACTION - Static variable in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction
 
DEFAULT_MODEL - Static variable in class edu.stanford.nlp.parser.nndep.DependencyParser
 
DEFAULT_MODEL_BIAS - Static variable in class edu.stanford.nlp.pipeline.TrueCaseAnnotator
 
DEFAULT_NEGRA_ENCODING - Static variable in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
DEFAULT_NER_CONLL_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_NER_MUC_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_NER_THREECLASS_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_NEWLINE_IS_SENTENCE_BREAK - Static variable in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
DEFAULT_NFL_ENTITY_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_NFL_GAZETTEER - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_NFL_RELATION_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_NLP_GROUP_MODEL_PATH - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
DEFAULT_NUMERIC_AGGREGATORS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
DEFAULT_NUMERIC_TOKENS_AGGREGATORS - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
DEFAULT_OUTPUT_FORMAT - Static variable in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
DEFAULT_PARSER_FILE - Static variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
DEFAULT_PARSER_LOC - Static variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
DEFAULT_PARSER_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_PLAIN_TEXT_READER - Static variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DEFAULT_POS_MATCH_TYPE - Static variable in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
 
DEFAULT_POS_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_QN_ITERATIONS_PER_BATCH - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
When training the DV parsing method, how many iterations to loop for one batch of trees
DEFAULT_REG_L1 - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
DEFAULT_REGCOST - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
regularization constant
DEFAULT_REGEXNER_RULES - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_SCALING_FOR_INIT - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
DEFAULT_SECTION_ANNOTATIONS_PATTERNS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
DEFAULT_SECTION_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
DEFAULT_SENTENCE_BOUNDARIES_TO_DISCARD - Static variable in class edu.stanford.nlp.process.WordToSentenceProcessor
 
DEFAULT_SENTENCE_DELIMS - Static variable in class edu.stanford.nlp.process.DocumentPreprocessor
 
DEFAULT_SENTENCE_ENDERS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
DEFAULT_SINGLE_SENTENCE_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
DEFAULT_SPEAKER_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
DEFAULT_STALLED_ITERATION_LIMIT - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
DEFAULT_SUP_RELATION_EX_RELATION_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_TEST_FILENAME - Static variable in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
 
DEFAULT_TIME_EXPRESSION_EXTRACTOR_CLASS - Static variable in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
 
DEFAULT_TOKEN_ANNOTATIONS_PATTERNS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
DEFAULT_TOSTRING - Static variable in class edu.stanford.nlp.util.StringUtils
 
DEFAULT_TRAINING_ITERATIONS - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
When training a parsing method where the training has a (max) number of iterations, how many iterations to loop
DEFAULT_TREE_FILE_SUFFIX - Static variable in class edu.stanford.nlp.trees.Treebank
 
DEFAULT_TRUECASE_DISAMBIGUATION_LIST - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_TRUECASE_MODEL - Static variable in class edu.stanford.nlp.pipeline.DefaultPaths
 
DEFAULT_UNK_WORD - Static variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
DEFAULT_USE_GOOD_TURNING_UNKNOWN_WORD_MODEL - Static variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Parameters specific for creating a ChineseLexicon
DEFAULT_UTTERANCE_TURN_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
DEFAULT_VALID_POS - Static variable in class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
 
DEFAULT_WORD_VECTOR_FILE - Static variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
RS: file for Turian's word vectors The default value is an example of size 25 word vectors on the nlp machines
DEFAULT_XML_TAGS - Static variable in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
defaultCompiler - Static variable in class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
 
defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.common.ParserGrammar
Returns a set of options which should be set by default when used in corenlp.
defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
defaultCoreNLPFlags() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
When run inside StanfordCoreNLP, which flags should be used by default
defaultCoreNLPFlags() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
defaultCost() - Static method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
 
defaultDelimitRegExIterator(Reader, String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
defaultDelimitRegExIteratorFactory(String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
defaultEncoding - Static variable in class edu.stanford.nlp.io.IOUtils
 
defaultFile - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Output to a file.
defaultLeftRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
These are built automatically from categoriesToAvoid and used in a fairly different fashion from defaultRule (above).
DefaultLexicalMapper - Class in edu.stanford.nlp.international.arabic.pipeline
Applies a default set of lexical transformations that have been empirically validated in various Arabic tasks.
DefaultLexicalMapper() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
defaultNestedResultsAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env
Annotation key to use during composite phase for storing matched sequences and to match against.
DefaultPaths - Class in edu.stanford.nlp.pipeline
Default model paths for StanfordCoreNLP All these paths point to files distributed with the model jar file (stanford-corenlp-models-*.jar)
defaultReaderAndWriter() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
defaultResultAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env
List of keys indicating what fields should be annotated for the aggregated coremap.
defaultReturnValue() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns the default return value.
defaultReturnValue() - Method in interface edu.stanford.nlp.stats.Counter
Returns the default return value.
defaultReturnValue() - Method in class edu.stanford.nlp.stats.IntCounter
 
defaultReturnValue(double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
defaultReturnValue() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
defaultReturnValue(double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
defaultReturnValue() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
defaultReturnValue(double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
defaultReturnValue(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
defaultReturnValue() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
defaultRightRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
 
defaultRule - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Default direction if no rule is found for category (the head/parent).
defaults - Variable in class edu.stanford.nlp.ling.tokensregex.Env
Default parameters (used when reading in rules for SequenceMatchRules.
defaultStringMatchFlags - Variable in class edu.stanford.nlp.ling.tokensregex.Env
Default flags to use for string literal match
defaultStringPatternFlags - Variable in class edu.stanford.nlp.ling.tokensregex.Env
Default flags to use for string regular expressions match
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
Return a default sentence for the language (for testing).
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Return a default sentence for the language (for testing)
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
Return a default sentence of the language (for testing).
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
Return a default sentence for the language (for testing)
defaultTestSentence() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
defaultTestSentence() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Return a default sentence of the language (for testing).
DefaultTeXHyphenData - Class in edu.stanford.nlp.ie.pascal
Default TeX hyphenation data, as borrowed from the TeX distribution.
DefaultTeXHyphenData() - Constructor for class edu.stanford.nlp.ie.pascal.DefaultTeXHyphenData
 
defaultTextAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env
Annotation key to use to getting text (default is CoreAnnotations.TextAnnotation.class)
defaultTokensAggregators - Variable in class edu.stanford.nlp.ling.tokensregex.Env
How should the tokens be aggregated when collapsing a sequence of tokens into one CoreMap
defaultTokensAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env
Annotation key to use to getting tokens (default is CoreAnnotations.TokensAnnotation.class)
defaultTokensResultAnnotationKey - Variable in class edu.stanford.nlp.ling.tokensregex.Env
List of keys indicating the per-token annotations (default is null).
defaultToPreserveSpacing(String) - Static method in enum edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter.OutputStyle
 
defaultValue - Variable in class edu.stanford.nlp.util.PropertiesUtils.Property
 
dehyphenateNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
delegate - Variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
 
DELETE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
DELETE_EXCEPT_BETWEEN_ASCII - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
deleteBlankLines - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
deleteCost(Object) - Method in class edu.stanford.nlp.util.EditDistance
 
deleteDirRecursively(File) - Static method in class edu.stanford.nlp.io.IOUtils
Given a filepath, delete all files in the directory recursively
deleteOutofRange(Counter<E>, int, int) - Static method in class edu.stanford.nlp.stats.Counters
Delete 'top' and 'bottom' number of elements from the top and bottom respectively
deleteRecursively(File) - Static method in class edu.stanford.nlp.io.IOUtils
Delete this file; or, if it is a directory, delete this directory and all its contents.
deleteSplitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
DelimitRegExIterator<T> - Class in edu.stanford.nlp.objectbank
An Iterator that reads the contents of a Reader, delimited by the specified delimiter, and then be subsequently processed by an Function to produce Objects of type T.
DelimitRegExIterator(Reader, String, Function<String, T>) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
DelimitRegExIterator.DelimitRegExIteratorFactory<T> - Class in edu.stanford.nlp.objectbank
 
DelimitRegExIteratorFactory(String, Function<String, T>) - Constructor for class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
deltaClone() - Method in class edu.stanford.nlp.util.CollectionValuedMap
Creates a "delta clone" of this Map, where only the differences are represented.
DeltaCollectionValuedMap<K,V> - Class in edu.stanford.nlp.util
Implementation of CollectionValuedMap that appears to store an "original" map and changes to that map.
DeltaCollectionValuedMap(CollectionValuedMap<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
deltaDecode(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
deltaDecode(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
deltaDecodeList(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
deltaDecodeList(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
deltaEncode(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
deltaEncodeList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
DeltaIndex<E> - Class in edu.stanford.nlp.util
A class that has a backing index, such as a hash index you don't want changed, and another index which will hold extra entries that get added during the life of the index.
DeltaIndex(Index<E>) - Constructor for class edu.stanford.nlp.util.DeltaIndex
 
DeltaIndex(Index<E>, Index<E>) - Constructor for class edu.stanford.nlp.util.DeltaIndex
 
DeltaMap<K,V> - Class in edu.stanford.nlp.util
A Map which wraps an original Map, and only stores the changes (deltas) from the original Map.
DeltaMap(Map<K, V>, MapFactory<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaMap
This is very cheap.
DeltaMap(Map<K, V>) - Constructor for class edu.stanford.nlp.util.DeltaMap
 
deltaMargin - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
How much to penalize the wrong trees for how different they are from the gold tree when training
DEMONYM_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
demonymSet - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
dep() - Method in class edu.stanford.nlp.trees.TypedDependency
 
dependencies(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.AnnotatorFactories
 
dependencies(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
Annotate dependency relations in sentences
Dependencies - Class in edu.stanford.nlp.trees
Utilities for Dependency objects.
dependencies() - Method in class edu.stanford.nlp.trees.Tree
Return a Set of TaggedWord-TaggedWord dependencies, represented as Dependency objects, for the Tree.
dependencies(Predicate<Dependency<Label, Label, Object>>) - Method in class edu.stanford.nlp.trees.Tree
 
dependencies(Predicate<Dependency<Label, Label, Object>>, boolean, boolean, boolean) - Method in class edu.stanford.nlp.trees.Tree
Return a set of TaggedWord-TaggedWord dependencies, represented as Dependency objects, for the Tree.
Dependencies.DependentPuncTagRejectFilter<G extends Label,D extends Label,N> - Class in edu.stanford.nlp.trees
 
Dependencies.DependentPuncWordRejectFilter<G extends Label,D extends Label,N> - Class in edu.stanford.nlp.trees
 
dependenciesToString(GrammaticalStructure, Collection<TypedDependency>, Tree) - Method in interface edu.stanford.nlp.trees.DependencyPrinter
 
dependenciesToString(GrammaticalStructure, Collection<TypedDependency>, Tree, boolean, boolean) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
 
dependency - Variable in class edu.stanford.nlp.dcoref.Mention
 
Dependency<G extends Label,D extends Label,N> - Interface in edu.stanford.nlp.trees
An individual dependency between a governor and a dependent.
DependencyAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.DependencyAnnotation
Deprecated.
 
dependencyCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
This is where all dependencies are stored (using full tag space).
dependencyFactory() - Method in interface edu.stanford.nlp.trees.Dependency
Provide a factory for this kind of dependency
DependencyFactory - Interface in edu.stanford.nlp.trees
A factory for dependencies of a certain type.
dependencyFactory() - Method in class edu.stanford.nlp.trees.NamedDependency
 
dependencyFactory() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
dependencyFactory() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
dependencyFeatures - Static variable in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
 
DependencyGrammar - Interface in edu.stanford.nlp.parser.lexparser
An interface for DependencyGrammars.
dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
dependencyGrammarExtractor(Options, Index<String>, Index<String>) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
 
dependencyIndexComparator() - Static method in class edu.stanford.nlp.trees.Dependencies
A Comparator for Dependencies based on their dependent annotation.
dependencyObjectify(Tree, HeadFinder, TreeTransformer, DependencyTyper<E>) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns the set of dependencies in a tree, according to some DependencyTyper.
DependencyParseAnnotator - Class in edu.stanford.nlp.pipeline
This class adds dependency parse information to an Annotation.
DependencyParseAnnotator() - Constructor for class edu.stanford.nlp.pipeline.DependencyParseAnnotator
 
DependencyParseAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.DependencyParseAnnotator
 
DependencyParser - Class in edu.stanford.nlp.parser.nndep
This class defines a transition-based dependency parser which makes use of a classifier powered by a neural network.
DependencyParser(Properties) - Constructor for class edu.stanford.nlp.parser.nndep.DependencyParser
 
dependencyPath(List<SemanticGraphEdge>, IndexedWord) - Static method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
 
dependencyPathAsList(List<SemanticGraphEdge>, IndexedWord, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
 
DependencyPrinter - Interface in edu.stanford.nlp.trees
 
DependencyReader - Interface in edu.stanford.nlp.trees
 
DependencyTreeTransformer - Class in edu.stanford.nlp.trees
Transforms an English structure parse tree in order to get the dependencies right:
-- put a ROOT node
-- remove NONE nodes
-- retain only NP-TMP, NP-ADV, UCP-TMP tags
The UCP- tags will later be turned into NP- anyway
(Note [cdm]: A lot of this overlaps other existing functionality in trees.
DependencyTreeTransformer() - Constructor for class edu.stanford.nlp.trees.DependencyTreeTransformer
 
dependencyType - Variable in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
Which dependencies to use for feature extraction
DependencyTyper<T> - Interface in edu.stanford.nlp.trees
A generified interface for making some kind of dependency object between a head and dependent.
dependent() - Method in interface edu.stanford.nlp.trees.Dependency
Describes the dependent (argument/modifier) of the dependency relation.
DEPENDENT - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation
The "dependent" grammatical relation, which is the inverse of "governor".
dependent() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
DependentPuncTagRejectFilter(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.Dependencies.DependentPuncTagRejectFilter
 
DependentPuncWordRejectFilter(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.Dependencies.DependentPuncWordRejectFilter
 
dependents - Variable in class edu.stanford.nlp.dcoref.Mention
 
DependentsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DependentsAnnotation
 
dependentText - Variable in class edu.stanford.nlp.trees.UnnamedDependency
 
dependingVerb - Variable in class edu.stanford.nlp.dcoref.Mention
 
depth - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
How far down we are in the nested tags.
depth() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns the depth of the GeneralizedCounter (i.e., the dimension of the distribution).
depth() - Method in class edu.stanford.nlp.trees.Tree
Finds the depth of the tree.
depth(Tree) - Method in class edu.stanford.nlp.trees.Tree
Finds the distance from this node to the specified node.
depth - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
 
depthFirstSearch(boolean, StringBuilder) - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
depWeight - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Weighting on dependency log probs.
derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
derivative - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
derivativeAt(float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
derivativeAt(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
derivativeAt(double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
derivativeAt(double[], double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
derivativeAt(float[]) - Method in interface edu.stanford.nlp.optimization.DiffFloatFunction
Returns the first-derivative vector at the input location.
derivativeAt(double[]) - Method in interface edu.stanford.nlp.optimization.DiffFunction
Returns the first-derivative vector at the input location.
derivativeNumerator - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
This is used to cache the numerator in batch methods.
descendants(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the set of descendants governed by this node in the graph.
DESCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.trees.DeepTree
A comparator that can be used with Collections.sort() that puts the highest scoring tree first
DESCENDING_COMPARATOR - Static variable in class edu.stanford.nlp.util.ScoredComparator
 
description - Variable in class edu.stanford.nlp.optimization.CmdEvaluator
 
description - Variable in class edu.stanford.nlp.util.PropertiesUtils.Property
 
deserializeCounter(String) - Static method in class edu.stanford.nlp.stats.Counters
 
detectHeadToken(AceDocument) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
Detects the head word of this mention Heuristic: (a) the last token in mHead, if there are no prepositions (b) the last word before the first preposition Note: the mHead must be already matched against tokens!
determineHead(Tree) - Method in class edu.stanford.nlp.parser.lexparser.BinaryHeadFinder
Determine which daughter of the current parse tree is the head.
determineHead(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.BinaryHeadFinder
 
determineHead(Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Determine which daughter of the current parse tree is the head.
determineHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Determine which daughter of the current parse tree is the head.
determineHead(Tree) - Method in interface edu.stanford.nlp.trees.HeadFinder
Determine which daughter of the current parse tree is the head.
determineHead(Tree, Tree) - Method in interface edu.stanford.nlp.trees.HeadFinder
Determine which daughter of the current parse tree is the head given the parent of the tree.
determineHead(Tree) - Method in class edu.stanford.nlp.trees.LeftHeadFinder
 
determineHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.LeftHeadFinder
 
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Called by determineHead and may be overridden in subclasses if special treatment is necessary for particular categories.
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
Called by determineHead and may be overridden in subclasses if special treatment is necessary for particular categories.
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZHeadFinder
Called by determineHead and may be overridden in subclasses if special treatment is necessary for particular categories.
determineNonTrivialHead(Tree, Tree) - Method in class edu.stanford.nlp.trees.SemanticHeadFinder
Determine which daughter of the current parse tree is the head.
DETERMINER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "determiner" grammatical relation.
DETERMINER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "determiner modifier" (det) grammatical relation.
determineRelFlags(CoreMap, TimeExpression) - Method in class edu.stanford.nlp.time.GenericTimeExpressionPatterns
 
determineRelFlags(CoreMap, TimeExpression) - Method in interface edu.stanford.nlp.time.TimeExpressionPatterns
Determine how date/times should be resolved for the given temporal expression and its context
determiners - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
DETERMINISTIC_COREF_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
DeterministicCorefAnnotator - Class in edu.stanford.nlp.pipeline
Implements the Annotator for the new deterministic coreference resolution system.
DeterministicCorefAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.DeterministicCorefAnnotator
 
DeterministicCorefSieve - Class in edu.stanford.nlp.dcoref.sievepasses
Base class for a Coref Sieve.
DeterministicCorefSieve() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve
Initialize flagSet
devFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DFSA<T,S> - Class in edu.stanford.nlp.fsm
DFSA: A class for representing a deterministic finite state automaton without epsilon transitions.
DFSA(DFSAState<T, S>, double) - Constructor for class edu.stanford.nlp.fsm.DFSA
 
DFSA(DFSAState<T, S>) - Constructor for class edu.stanford.nlp.fsm.DFSA
 
DFSA(Object) - Constructor for class edu.stanford.nlp.fsm.DFSA
 
dfsa() - Method in class edu.stanford.nlp.fsm.DFSAState
 
DFSAState<T,S> - Class in edu.stanford.nlp.fsm
DFSAState

Class for representing the state of a deterministic finite state automaton without epsilon transitions.

DFSAState(S, DFSA<T, S>) - Constructor for class edu.stanford.nlp.fsm.DFSAState
 
DFSAState(S, DFSA<T, S>, double) - Constructor for class edu.stanford.nlp.fsm.DFSAState
 
DFSATransition<T,S> - Class in edu.stanford.nlp.fsm
(D)FSA Transition

Class for representing a transition in a weighted finite state transducer.

DFSATransition(Object, DFSAState<T, S>, DFSAState<T, S>, T, Object, double) - Constructor for class edu.stanford.nlp.fsm.DFSATransition
 
dg - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
dg - Variable in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
 
dg - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
diag(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns diagonal elements of the given (square) matrix.
diag - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
diag - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
dict - Variable in class edu.stanford.nlp.tagger.maxent.DictionaryExtractor
A pointer to the creating / owning tagger's dictionary.
DICT_LIST_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
DICT_PMI_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
DictAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DictAnnotation
 
Dictionaries - Class in edu.stanford.nlp.dcoref
 
Dictionaries(Properties) - Constructor for class edu.stanford.nlp.dcoref.Dictionaries
 
Dictionaries(String, String, String, String, String, String, String, String, String, String, String, String, boolean, String[], String, String) - Constructor for class edu.stanford.nlp.dcoref.Dictionaries
 
Dictionaries() - Constructor for class edu.stanford.nlp.dcoref.Dictionaries
 
dictionaries - Variable in class edu.stanford.nlp.dcoref.MentionExtractor
 
dictionaries() - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
Dictionaries.Animacy - Enum in edu.stanford.nlp.dcoref
 
Dictionaries.Gender - Enum in edu.stanford.nlp.dcoref
 
Dictionaries.MentionType - Enum in edu.stanford.nlp.dcoref
 
Dictionaries.Number - Enum in edu.stanford.nlp.dcoref
 
Dictionaries.Person - Enum in edu.stanford.nlp.dcoref
 
dictionary - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
Dictionary - Class in edu.stanford.nlp.tagger.maxent
Maintains a map from words to tags and their counts.
Dictionary() - Constructor for class edu.stanford.nlp.tagger.maxent.Dictionary
 
dictionary2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DictionaryExtractor - Class in edu.stanford.nlp.tagger.maxent
This class is the same as a regular Extractor, but keeps a pointer to the tagger's dictionary as well.
DictionaryExtractor() - Constructor for class edu.stanford.nlp.tagger.maxent.DictionaryExtractor
 
dictOddsWeights - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
diff(Counter<T>, Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
 
diff(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns all objects in list1 that are not in list2
diff(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
Returns the difference of sets s1 and s2.
diffAsSet(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns all objects in list1 that are not in list2
difference(Collection, Collection) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
difference(SUTime.Time, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
 
DiffFloatFunction - Interface in edu.stanford.nlp.optimization
An interface for once-differentiable double-valued functions over double arrays.
DiffFunction - Interface in edu.stanford.nlp.optimization
An interface for once-differentiable double-valued functions over double arrays.
DIGIT - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
DIGITSEQ - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
digitsPattern - Static variable in class edu.stanford.nlp.ie.NumberNormalizer
 
DijkstraShortestPath - Class in edu.stanford.nlp.graph
 
DIM - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
DINNERTIME - Static variable in class edu.stanford.nlp.time.SUTime
 
DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "direct object" grammatical relation.
DIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "direct object" (dobj) grammatical relation.
DirectedMultiGraph<V,E> - Class in edu.stanford.nlp.graph
Simple graph library; this is directed for now.
DirectedMultiGraph() - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph
 
DirectedMultiGraph(MapFactory<V, Map<V, List<E>>>, MapFactory<V, List<E>>) - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph
 
DirectedMultiGraph(DirectedMultiGraph<V, E>) - Constructor for class edu.stanford.nlp.graph.DirectedMultiGraph
Creates a copy of the given graph.
directional - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
directional - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
Whether left and right is distinguished.
directional - Variable in class edu.stanford.nlp.parser.lexparser.Options
Whether dependency grammar considers left/right direction.
disable_tracing() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Disable tracing.
disambiguatePersonalPronoun(Pair<String, List<String>>, int, String) - Static method in class edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator
Determine whether the given clitic pronoun is an indirect object pronoun or a reflexive pronoun.
discardFrags - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
discardMoreSpecificFields(Partial, DateTimeFieldType) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
discardMoreSpecificFields(Partial, DurationFieldType) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
discardMoreSpecificFields(Period, DurationFieldType, Chronology) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
DISCOURSE_ELEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "discourse element" grammatical relation.
DiscourseMatch - Class in edu.stanford.nlp.dcoref.sievepasses
 
DiscourseMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.DiscourseMatch
 
discoverEdge(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
discoverHook(Hook) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
discoverItem(Item) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
discretizeCompute(Function<Double, Double>, int, double, double) - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
DisjFilter(List<Predicate<T>>) - Constructor for class edu.stanford.nlp.util.Filters.DisjFilter
 
DisjFilter(Predicate<T>...) - Constructor for class edu.stanford.nlp.util.Filters.DisjFilter
 
DisjNodePattern(List<NodePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.DisjNodePattern
 
disjunctionWidth - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
returns a DiskTreebank appropriate to the treebank source
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
 
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Uses a DiskTreebank with a CHTBTokenizer and a BobChrisTreeNormalizer.
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
Allows you to read in trees from the source you want.
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
 
diskTreebank() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
diskTreebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
returns a DiskTreebank appropriate to the treebank source
DiskTreebank - Class in edu.stanford.nlp.trees
A DiskTreebank is a Collection of Trees.
DiskTreebank() - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new DiskTreebank.
DiskTreebank(String) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new treebank, set the encoding for file access.
DiskTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new DiskTreebank.
DiskTreebank(TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new DiskTreebank.
DiskTreebank(int) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new Treebank.
DiskTreebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.DiskTreebank
Create a new Treebank.
dispatchable(Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
Returns true if an object has special logic for pretty logging (e.g.
display() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
Pretty display
display(boolean) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
 
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
 
display() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
display language-specific settings
display() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
 
display() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
display() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
display() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
 
display() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
display() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
display() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
 
display() - Method in class edu.stanford.nlp.parser.lexparser.Options
 
display() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
display() - Method in class edu.stanford.nlp.parser.lexparser.TestOptions
 
display() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
display() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
display language-specific settings
display() - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
Output a description of the current annotation configuration to standard error.
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
 
display(boolean) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
 
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
 
display(boolean) - Method in class edu.stanford.nlp.parser.metrics.BestOfTopKEval
 
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.BestOfTopKEval
 
display(boolean) - Method in interface edu.stanford.nlp.parser.metrics.Eval
 
display(boolean, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.Eval
 
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.Evalb.CBEval
 
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.EvalbByCat
 
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.LeafAncestorEval
 
display(boolean, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.ParserQueryEval
Called after the evaluation is finished.
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.TaggingEval
 
display(boolean, PrintWriter) - Method in class edu.stanford.nlp.parser.shiftreduce.TreeRecorder
 
displayHeadScores() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
This displays a headScore matrix, which will be valid after parsing a sentence.
DisplayMatchesPanel - Class in edu.stanford.nlp.trees.tregex.gui
Class for creating the panel which shows a graphical version of the tree (as in TreeJPanel) as well as the file name of the file from which the tree is from.
DisplayMatchesPanel.FilenameMouseInputAdapter - Class in edu.stanford.nlp.trees.tregex.gui
 
distance(Span, Span) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
Returns the smallest distance between two spans.
distance - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
 
distance - Variable in class edu.stanford.nlp.parser.lexparser.Options
Use distance bins in the dependency calculations
distance(SUTime.Time, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
 
distanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
distanceBin(int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
 
Distribution<E> - Class in edu.stanford.nlp.stats
Immutable class for representing normalized, smoothed discrete distributions from Counters.
distributionFromLogisticCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution
Maps a counter representing the linear weights of a multiclass logistic regression model to the probabilities of each class.
distributionWithDirichletPrior(Counter<E>, Distribution<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution
Returns a Distribution that uses prior as a Dirichlet prior weighted by weight.
Distsim - Class in edu.stanford.nlp.tagger.maxent
Keeps track of a distributional similarity mapping, eg a map from word to class.
Distsim(String) - Constructor for class edu.stanford.nlp.tagger.maxent.Distsim
The Extractor argument extraction keeps ; together, so we use that to delimit options.
DistSimAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DistSimAnnotation
 
distSimClass(String) - Method in class edu.stanford.nlp.process.DistSimClassifier
 
DistSimClassifier - Class in edu.stanford.nlp.process
Maps a String to its distributional similarity class.
DistSimClassifier(String, boolean, boolean) - Constructor for class edu.stanford.nlp.process.DistSimClassifier
 
DistSimClassifier(String, boolean, boolean, String) - Constructor for class edu.stanford.nlp.process.DistSimClassifier
 
DistSimClassifier(String, String, String, int, boolean, boolean, String) - Constructor for class edu.stanford.nlp.process.DistSimClassifier
 
DistsimFeatureFactory - Class in edu.stanford.nlp.parser.shiftreduce
Featurizes words based only on their distributional similarity classes.
distSimFileFormat - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
The format of the distsim file.
distSimLexicon - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
distSimMaxBits - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
If this number is greater than 0, the distSim class is assume to be a bit string and is truncated at this many characters.
distSimWeights - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
divide(DoubleAD, DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
 
divide(double, double) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Given a numerator and denominator in log form, this calculates the conditional model probabilities.
DIVIDE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
divideBy(FactorTable) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
divideBy(FloatFactorTable) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.Duration
 
divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationRange
 
divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
 
divideBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
 
divideConst(DoubleAD, double) - Static method in class edu.stanford.nlp.math.ADMath
 
divideDurationBy(int) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
 
divideInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Divides the values in this array by b.
divideInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Divides every non-zero count in target by the corresponding value in the denominator Counter.
divideInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Divides each value in target by the given divisor, in place.
divideInPlace(TwoDimensionalCounter<A, B>, double) - Static method in class edu.stanford.nlp.stats.Counters
 
division(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns c1 divided by c2.
divisionNonNaN(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns c1 divided by c2.
DO_PRONOUN - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
DO_TAGS - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
 
doAdaptation - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DoAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DoAnnotation
 
DocDateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocDateAnnotation
 
docID() - Method in class edu.stanford.nlp.ling.CoreLabel
docID() - Method in interface edu.stanford.nlp.ling.HasIndex
 
docID() - Method in class edu.stanford.nlp.ling.IndexedWord
 
DocIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocIDAnnotation
 
doClearFileList() - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
 
doCompaction(TransducerGraph, List, List) - Method in class edu.stanford.nlp.parser.lexparser.ExactGrammarCompactor
 
doCompaction(TransducerGraph, List<List<String>>, List<List<String>>) - Method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
DocSourceTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocSourceTypeAnnotation
 
DocTitleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocTitleAnnotation
 
docType - Variable in class edu.stanford.nlp.dcoref.Document
The type of document: conversational or article
DocTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocTypeAnnotation
 
Document() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
 
Document - Class in edu.stanford.nlp.dcoref
 
Document() - Constructor for class edu.stanford.nlp.dcoref.Document
 
Document(Annotation, List<List<Mention>>, List<List<Mention>>, Dictionaries) - Constructor for class edu.stanford.nlp.dcoref.Document
 
Document<L,F,T> - Interface in edu.stanford.nlp.ling
Represents a text document as a list of Words with a String title.
Document.DocType - Enum in edu.stanford.nlp.dcoref
 
DocumentDirectoryAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.DocumentDirectoryAnnotation
 
documentExpectedCounts(double[][], int[][][], double[][][], CRFCliqueTree) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
Compute the expected counts for this document, which we will need to compute the derivative.
DocumentIdAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.DocumentIdAnnotation
Deprecated.
 
DocumentPreprocessor - Class in edu.stanford.nlp.process
Produces a list of sentences from either a plain text or XML document.
DocumentPreprocessor(Reader) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
Constructs a preprocessor from an existing input stream.
DocumentPreprocessor(Reader, DocumentPreprocessor.DocType) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
 
DocumentPreprocessor(String) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
 
DocumentPreprocessor(String, DocumentPreprocessor.DocType) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
 
DocumentPreprocessor(String, DocumentPreprocessor.DocType, String) - Constructor for class edu.stanford.nlp.process.DocumentPreprocessor
Constructs a preprocessor from a file at a path, which can be either a filesystem location, a classpath entry, or a URL.
DocumentPreprocessor.DocType - Enum in edu.stanford.nlp.process
 
DocumentProcessor<IN,OUT,L,F> - Interface in edu.stanford.nlp.process
Top-level interface for transforming Documents.
DocumentReader<L> - Class in edu.stanford.nlp.ling
Basic mechanism for reading in Documents from various input sources.
DocumentReader() - Constructor for class edu.stanford.nlp.ling.DocumentReader
Constructs a new DocumentReader without an initial input source.
DocumentReader(Reader) - Constructor for class edu.stanford.nlp.ling.DocumentReader
Constructs a new DocumentReader using a PTBTokenizerFactory and keeps the original text.
DocumentReader(Reader, TokenizerFactory<? extends HasWord>, boolean) - Constructor for class edu.stanford.nlp.ling.DocumentReader
Constructs a new DocumentReader that will read text from the given Reader and tokenize it into words using the given Tokenizer.
documentReader - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DocumentReaderAndWriter<IN extends CoreMap> - Interface in edu.stanford.nlp.sequences
This interface is used for reading data and writing output into and out of sequence classifiers.
documentsToDataAndLabels(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Convert an ObjectBank to arrays of data features and labels.
documentsToDataAndLabelsList(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Convert an ObjectBank to corresponding collection of data features and labels.
documentToDataAndLabels(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Convert a document List into arrays storing the data features and labels.
documentToDataAndLabels(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
 
documentToString(Document) - Static method in class edu.stanford.nlp.time.XMLUtils
 
doDep - Variable in class edu.stanford.nlp.parser.lexparser.Options
Do a dependency parse of the sentence.
doError(String, Throwable) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
Called when a pattern cannot be compiled or some other error occurs; resets gui to valid state Thread safe
doEvaluation(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
 
doEvaluation(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
 
doFE - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
doFeatureDiscovery - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
doGibbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
doing(String) - Method in class edu.stanford.nlp.util.Timing
Print the start of timing message to stderr and start the timer.
domain() - Method in class edu.stanford.nlp.maxent.Features
 
domain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DOMAIN_EMAIL - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
DomainAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DomainAnnotation
 
domainDimension() - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
domainDimension - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
 
domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
 
domainDimension() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
domainDimension() - Method in interface edu.stanford.nlp.optimization.FloatFunction
Returns the number of dimensions in the function's domain
domainDimension() - Method in interface edu.stanford.nlp.optimization.Function
Returns the number of dimensions in the function's domain
domainDimension() - Method in class edu.stanford.nlp.optimization.ResultStoringFloatMonitor
 
domainDimension() - Method in class edu.stanford.nlp.optimization.ResultStoringMonitor
 
domainDimension() - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
 
domainDimension() - Method in class edu.stanford.nlp.sentiment.SentimentCostAndGradient
 
domainNGramRawFreq - Static variable in class edu.stanford.nlp.patterns.surface.Data
 
domainNGramsFile - Static variable in class edu.stanford.nlp.patterns.surface.Data
 
dominates(Tree) - Method in class edu.stanford.nlp.trees.Tree
Returns true if this dominates the Tree passed in as an argument.
dominatesC - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Verbal distance -- mark whether symbol dominates a conjunction (CC)
dominatesI - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Verbal distance -- mark whether symbol dominates a preposition (IN)
dominatesV - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Verbal distance -- mark whether symbol dominates a verb (V*).
dominatesV - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Verbal distance -- mark whether symbol dominates a verb (V*, MD).
dominationPath(Tree) - Method in class edu.stanford.nlp.trees.Tree
Returns the path of nodes leading down to a dominated node, including this and the dominated node itself.
DomReader - Class in edu.stanford.nlp.ie.machinereading.common
Generic DOM reader for an XML file
DomReader() - Constructor for class edu.stanford.nlp.ie.machinereading.common.DomReader
 
done() - Method in class edu.stanford.nlp.util.Timing
Finish the line from startDoing with the end of the timing done message and elapsed time in x.y seconds.
done(String) - Method in class edu.stanford.nlp.util.Timing
Give a line saying that something is " done".
doNotApplyPatterns - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
doNotExtractPhraseAnyWordLabeledOtherClass - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Especially useful for multi word phrase extraction.
doNotLexicalizeFirstArg - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
doNotLexicalizeFirstArg - Variable in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
If true, it does not create any lexicalized features from the first argument (needed for KBP)
DONT_CAPITALIZE_TIMEX - Static variable in class edu.stanford.nlp.process.Americanize
 
dontExtendTaggy - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.DependencyParseAnnotator
 
doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
 
doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.ParserAnnotator
 
doOneFailedSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.SentenceAnnotator
Fills in empty annotations for trees, tags, etc if the annotator failed or timed out.
doOneSentence(CoreMap) - Method in class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
 
doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.DependencyParseAnnotator
 
doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
 
doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.ParserAnnotator
 
doOneSentence(Annotation, CoreMap) - Method in class edu.stanford.nlp.pipeline.SentenceAnnotator
annotation is included in case there is global information we care about
doPCFG - Variable in class edu.stanford.nlp.parser.lexparser.Options
Do a PCFG parse of the sentence.
doQuit() - Static method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
 
doRecovery - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If true, then failure of the PCFG factor to parse a sentence will trigger parse recovery mode.
doScore() - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
DOT - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
dot(SimpleMatrix, SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Compute dot product between two vectors.
DOTCOMMA - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
DOTDOT - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
dotProduct(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Assumes that both arrays have same length.
dotProduct(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the product of c1 and c2.
dotProduct(Counter<E>, double[], Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the product of Counter c and double[] a, using Index idx to map entries in C onto a.
dotProductInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Multiplies every count in target by the corresponding value in the term Counter.
DOUBLE_QUOTES - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
DoubleAD - Class in edu.stanford.nlp.math
The class DoubleAD was created to extend the current calculations of gradient to automatically include a calculation of the hessian vector product with another vector v.
DoubleAD() - Constructor for class edu.stanford.nlp.math.DoubleAD
 
DoubleAD(double, double) - Constructor for class edu.stanford.nlp.math.DoubleAD
 
doubleArrayToFloatArray(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
doubleArrayToFloatArray(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
doubleArrToByteArr(double[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
doubleArrToByteArr(double[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
doubleArrToByteArr(byte[], int, double[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
doubleMax() - Method in class edu.stanford.nlp.stats.IntCounter
 
doubleValue() - Method in class edu.stanford.nlp.math.DoubleAD
 
doubleValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
doubleValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
doubleValue() - Method in class edu.stanford.nlp.util.MutableLong
 
dparser - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
drawSample() - Method in class edu.stanford.nlp.stats.Distribution
Exactly the same as sampleFrom(), needed for the Sampler interface.
drawSample(Random) - Method in class edu.stanford.nlp.stats.Distribution
A method to draw a sample, providing an own random number generator.
drawSample(Random) - Method in interface edu.stanford.nlp.stats.ProbabilityDistribution
 
drawSample() - Method in interface edu.stanford.nlp.stats.Sampler
 
drop(T[], int) - Static method in class edu.stanford.nlp.util.Iterables
Returns a view of the given data, ignoring the first toDrop elements.
drop(Iterable<T>, int) - Static method in class edu.stanford.nlp.util.Iterables
Returns a view of the given data, ignoring the first toDrop elements.
dropFeaturesBelowThreshold(double) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
dropGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
DROPOUT_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
dropoutApprox - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dropoutRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dropoutScale - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dropProb - Variable in class edu.stanford.nlp.parser.nndep.Config
Dropout probability.
dualDecompAlignment - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dualDecompDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dualDecompInitialStepSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dualDecompInitialStepSizeAlignment - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dualDecompMaxItr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dualDecompNotBIO - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dump() - Method in class edu.stanford.nlp.classify.LinearClassifier
Print all features in the classifier and the weight that they assign to each class.
dump(PrintWriter) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
dump - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
dump() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
dump(PrintStream) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
dump() - Method in class edu.stanford.nlp.util.ArrayHeap
 
dumpFeatures(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Does nothing by default.
dumpFeatures(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
dumpMemory() - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
dump the pairs it computed found
dumpModel(PrintStream) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
dumpSizes() - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
dumpSorted() - Method in class edu.stanford.nlp.classify.LinearClassifier
Print all features in the classifier and the weight that they assign to each class.
dumpStats() - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
 
duplicateKeepNodes(SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
This creates a new graph based off the given, but uses the existing nodes objects.
DUR_RESOLVE_FROM_AS_REF - Static variable in class edu.stanford.nlp.time.SUTime
 
DUR_RESOLVE_TO_AS_REF - Static variable in class edu.stanford.nlp.time.SUTime
 
Duration() - Constructor for class edu.stanford.nlp.time.SUTime.Duration
 
Duration(SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.Duration
 
duration - Variable in enum edu.stanford.nlp.time.SUTime.TimeUnit
 
DURATION_NONE - Static variable in class edu.stanford.nlp.time.SUTime
 
DURATION_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
 
DurationRange(SUTime.DurationRange, SUTime.Duration, SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationRange
 
DurationRange(SUTime.Duration, SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationRange
 
DurationWithFields() - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithFields
 
DurationWithFields(ReadablePeriod) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithFields
 
DurationWithFields(SUTime.Duration, ReadablePeriod) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithFields
 
DurationWithMillis(long) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithMillis
 
DurationWithMillis(ReadableDuration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithMillis
 
DurationWithMillis(SUTime.Duration, ReadableDuration) - Constructor for class edu.stanford.nlp.time.SUTime.DurationWithMillis
 
DUSK - Static variable in class edu.stanford.nlp.time.SUTime
 
dvKBest - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
DVModel - Class in edu.stanford.nlp.parser.dvparser
 
DVModel(Options, Index<String>, UnaryGrammar, BinaryGrammar) - Constructor for class edu.stanford.nlp.parser.dvparser.DVModel
 
DVModel(TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, Map<String, SimpleMatrix>, Options) - Constructor for class edu.stanford.nlp.parser.dvparser.DVModel
 
DVModelReranker - Class in edu.stanford.nlp.parser.dvparser
 
DVModelReranker(DVModel) - Constructor for class edu.stanford.nlp.parser.dvparser.DVModelReranker
 
DVModelReranker.Query - Class in edu.stanford.nlp.parser.dvparser
 
DVParser - Class in edu.stanford.nlp.parser.dvparser
 
DVParser(DVModel, LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.dvparser.DVParser
 
DVParser(LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.dvparser.DVParser
 
DVParserCostAndGradient - Class in edu.stanford.nlp.parser.dvparser
 
DVParserCostAndGradient(List<Tree>, IdentityHashMap<Tree, List<Tree>>, DVModel, Options) - Constructor for class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
 
DVPM_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "dvp modifier" grammatical relation.
dvSimplifiedModel - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Make the dv model as simple as possible
DybroFrenchHeadFinder - Class in edu.stanford.nlp.trees.international.french
Implements the head finding rules from Dybro-Johansen master's thesis.
DybroFrenchHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder
 
DybroFrenchHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder
 
dynamicCounterWithDirichletPrior(Counter<E>, Distribution<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution
Like normalizedCounterWithDirichletPrior except probabilities are computed dynamically from the counter and prior instead of all at once up front.

E

E - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
Edge - Class in edu.stanford.nlp.parser.lexparser
Class for parse edges.
Edge(boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.Edge
 
Edge(Edge) - Constructor for class edu.stanford.nlp.parser.lexparser.Edge
 
edgeCount() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
edgeIterable() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
edgeIterable() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
edgeIterator() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
edgeListSorted() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns an ordered list of edges in the graph.
edges - Variable in class edu.stanford.nlp.pipeline.AnnotationSerializer.IntermediateSemanticGraph
 
editDistance(CharSequence, CharSequence, int) - Static method in class edu.stanford.nlp.patterns.surface.EditDistanceDamerauLevenshteinLike
 
EditDistance - Class in edu.stanford.nlp.util
Find the (Levenshtein) edit distance between two Strings or Character arrays.
EditDistance() - Constructor for class edu.stanford.nlp.util.EditDistance
 
EditDistance(boolean) - Constructor for class edu.stanford.nlp.util.EditDistance
 
editDistance(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Computes the Levenshtein (edit) distance of the two given Strings.
EditDistanceDamerauLevenshteinLike - Class in edu.stanford.nlp.patterns.surface
COPIED FROM https://gist.github.com/steveash (public domain license) Implementation of the OSA (optimal string alignment) which is similar to the Damerau-Levenshtein in that it allows for transpositions to count as a single edit distance, but is not a true metric and can over-estimate the cost because it disallows substrings to edited more than once.
EditDistanceDamerauLevenshteinLike() - Constructor for class edu.stanford.nlp.patterns.surface.EditDistanceDamerauLevenshteinLike
 
edu.stanford.nlp.classify - package edu.stanford.nlp.classify
 
edu.stanford.nlp.dcoref - package edu.stanford.nlp.dcoref
 
edu.stanford.nlp.dcoref.sievepasses - package edu.stanford.nlp.dcoref.sievepasses
 
edu.stanford.nlp.fsm - package edu.stanford.nlp.fsm
 
edu.stanford.nlp.graph - package edu.stanford.nlp.graph
 
edu.stanford.nlp.ie - package edu.stanford.nlp.ie
 
edu.stanford.nlp.ie.crf - package edu.stanford.nlp.ie.crf
 
edu.stanford.nlp.ie.machinereading - package edu.stanford.nlp.ie.machinereading
 
edu.stanford.nlp.ie.machinereading.common - package edu.stanford.nlp.ie.machinereading.common
 
edu.stanford.nlp.ie.machinereading.domains.ace - package edu.stanford.nlp.ie.machinereading.domains.ace
 
edu.stanford.nlp.ie.machinereading.domains.ace.reader - package edu.stanford.nlp.ie.machinereading.domains.ace.reader
 
edu.stanford.nlp.ie.machinereading.domains.roth - package edu.stanford.nlp.ie.machinereading.domains.roth
 
edu.stanford.nlp.ie.machinereading.structure - package edu.stanford.nlp.ie.machinereading.structure
 
edu.stanford.nlp.ie.ner - package edu.stanford.nlp.ie.ner
 
edu.stanford.nlp.ie.pascal - package edu.stanford.nlp.ie.pascal
 
edu.stanford.nlp.ie.regexp - package edu.stanford.nlp.ie.regexp
 
edu.stanford.nlp.international - package edu.stanford.nlp.international
 
edu.stanford.nlp.international.arabic - package edu.stanford.nlp.international.arabic
 
edu.stanford.nlp.international.arabic.pipeline - package edu.stanford.nlp.international.arabic.pipeline
 
edu.stanford.nlp.international.arabic.process - package edu.stanford.nlp.international.arabic.process
 
edu.stanford.nlp.international.french - package edu.stanford.nlp.international.french
 
edu.stanford.nlp.international.french.process - package edu.stanford.nlp.international.french.process
 
edu.stanford.nlp.international.morph - package edu.stanford.nlp.international.morph
 
edu.stanford.nlp.international.spanish - package edu.stanford.nlp.international.spanish
 
edu.stanford.nlp.international.spanish.process - package edu.stanford.nlp.international.spanish.process
 
edu.stanford.nlp.io - package edu.stanford.nlp.io
 
edu.stanford.nlp.ling - package edu.stanford.nlp.ling
 
edu.stanford.nlp.ling.tokensregex - package edu.stanford.nlp.ling.tokensregex
 
edu.stanford.nlp.ling.tokensregex.matcher - package edu.stanford.nlp.ling.tokensregex.matcher
 
edu.stanford.nlp.ling.tokensregex.parser - package edu.stanford.nlp.ling.tokensregex.parser
 
edu.stanford.nlp.ling.tokensregex.types - package edu.stanford.nlp.ling.tokensregex.types
 
edu.stanford.nlp.math - package edu.stanford.nlp.math
 
edu.stanford.nlp.maxent - package edu.stanford.nlp.maxent
 
edu.stanford.nlp.maxent.iis - package edu.stanford.nlp.maxent.iis
 
edu.stanford.nlp.neural - package edu.stanford.nlp.neural
 
edu.stanford.nlp.neural.rnn - package edu.stanford.nlp.neural.rnn
 
edu.stanford.nlp.objectbank - package edu.stanford.nlp.objectbank
 
edu.stanford.nlp.optimization - package edu.stanford.nlp.optimization
 
edu.stanford.nlp.parser - package edu.stanford.nlp.parser
 
edu.stanford.nlp.parser.charniak - package edu.stanford.nlp.parser.charniak
 
edu.stanford.nlp.parser.common - package edu.stanford.nlp.parser.common
 
edu.stanford.nlp.parser.dvparser - package edu.stanford.nlp.parser.dvparser
 
edu.stanford.nlp.parser.lexparser - package edu.stanford.nlp.parser.lexparser
 
edu.stanford.nlp.parser.metrics - package edu.stanford.nlp.parser.metrics
 
edu.stanford.nlp.parser.nndep - package edu.stanford.nlp.parser.nndep
 
edu.stanford.nlp.parser.server - package edu.stanford.nlp.parser.server
 
edu.stanford.nlp.parser.shiftreduce - package edu.stanford.nlp.parser.shiftreduce
 
edu.stanford.nlp.parser.tools - package edu.stanford.nlp.parser.tools
 
edu.stanford.nlp.parser.ui - package edu.stanford.nlp.parser.ui
 
edu.stanford.nlp.patterns.surface - package edu.stanford.nlp.patterns.surface
 
edu.stanford.nlp.pipeline - package edu.stanford.nlp.pipeline
 
edu.stanford.nlp.process - package edu.stanford.nlp.process
 
edu.stanford.nlp.semgraph - package edu.stanford.nlp.semgraph
 
edu.stanford.nlp.semgraph.semgrex - package edu.stanford.nlp.semgraph.semgrex
 
edu.stanford.nlp.sentiment - package edu.stanford.nlp.sentiment
 
edu.stanford.nlp.sequences - package edu.stanford.nlp.sequences
 
edu.stanford.nlp.stats - package edu.stanford.nlp.stats
 
edu.stanford.nlp.swing - package edu.stanford.nlp.swing
 
edu.stanford.nlp.tagger.common - package edu.stanford.nlp.tagger.common
 
edu.stanford.nlp.tagger.io - package edu.stanford.nlp.tagger.io
 
edu.stanford.nlp.tagger.maxent - package edu.stanford.nlp.tagger.maxent
 
edu.stanford.nlp.time - package edu.stanford.nlp.time
 
edu.stanford.nlp.trees - package edu.stanford.nlp.trees
 
edu.stanford.nlp.trees.international.arabic - package edu.stanford.nlp.trees.international.arabic
 
edu.stanford.nlp.trees.international.french - package edu.stanford.nlp.trees.international.french
 
edu.stanford.nlp.trees.international.hebrew - package edu.stanford.nlp.trees.international.hebrew
 
edu.stanford.nlp.trees.international.negra - package edu.stanford.nlp.trees.international.negra
 
edu.stanford.nlp.trees.international.pennchinese - package edu.stanford.nlp.trees.international.pennchinese
 
edu.stanford.nlp.trees.international.spanish - package edu.stanford.nlp.trees.international.spanish
 
edu.stanford.nlp.trees.international.tuebadz - package edu.stanford.nlp.trees.international.tuebadz
 
edu.stanford.nlp.trees.treebank - package edu.stanford.nlp.trees.treebank
 
edu.stanford.nlp.trees.tregex - package edu.stanford.nlp.trees.tregex
 
edu.stanford.nlp.trees.tregex.gui - package edu.stanford.nlp.trees.tregex.gui
 
edu.stanford.nlp.trees.tregex.tsurgeon - package edu.stanford.nlp.trees.tregex.tsurgeon
 
edu.stanford.nlp.util - package edu.stanford.nlp.util
 
edu.stanford.nlp.util.concurrent - package edu.stanford.nlp.util.concurrent
 
edu.stanford.nlp.util.logging - package edu.stanford.nlp.util.logging
 
edu.stanford.nlp.wordseg - package edu.stanford.nlp.wordseg
 
Ehat - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
elapsedTime(Date, Date) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
elementMult(SimpleTensor) - Method in class edu.stanford.nlp.neural.SimpleTensor
Performs elementwise multiplication on the tensors.
elements() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
elements() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns the original sequence the match was performed on.
elements - Variable in class edu.stanford.nlp.util.Beam
 
elementsToBeTransformed - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
 
elementSum() - Method in class edu.stanford.nlp.neural.SimpleTensor
Returns the sum of all elements in the tensor.
elementwiseApplyLog(SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Applies log to each of the entries in the matrix.
elementwiseApplyTanh(SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Applies tanh to each of the entries in the matrix.
elementwiseApplyTanhDerivative(SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Applies the derivative of tanh to each of the elements in the vector.
elems() - Method in class edu.stanford.nlp.util.IntTuple
 
EMAIL - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
Embedding - Class in edu.stanford.nlp.neural
 
Embedding(Map<String, SimpleMatrix>) - Constructor for class edu.stanford.nlp.neural.Embedding
 
Embedding(String) - Constructor for class edu.stanford.nlp.neural.Embedding
 
Embedding(String, int) - Constructor for class edu.stanford.nlp.neural.Embedding
 
Embedding(String, String) - Constructor for class edu.stanford.nlp.neural.Embedding
 
Embedding(String, String, int) - Constructor for class edu.stanford.nlp.neural.Embedding
 
embeddingSize - Variable in class edu.stanford.nlp.parser.nndep.Config
Dimensionality of the word embeddings used
embeddingVectors - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
embeddingWords - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
empiricalCounts(double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
empiricalCountsForADoc(double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
EmpiricalNERPriorBIO<IN extends CoreMap> - Class in edu.stanford.nlp.ie
 
EmpiricalNERPriorBIO(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
 
EMPTY - Static variable in class edu.stanford.nlp.ling.Word
Word representation of an empty.
EMPTY - Static variable in class edu.stanford.nlp.util.logging.LogRecordHandler
An empty list to serve as the FALSE token for filters
empty() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
An empty Redwood configuration.
empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
 
empty2D() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
EMPTY_ISO_DATE_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
EMPTY_ISO_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
EMPTY_ISO_TIME_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
EMPTY_ISO_WEEK_PARTIAL - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
EMPTY_LEAF - Static variable in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
 
EMPTY_LEAF_VALUE - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
 
EMPTY_STRING - Static variable in class edu.stanford.nlp.ling.Word
String representation of an empty.
EMPTY_STRING_ARRAY - Static variable in class edu.stanford.nlp.util.StringUtils
 
EMPTY_TREE_ARRAY - Static variable in class edu.stanford.nlp.trees.Tree
A leaf node should have a zero-length array for its children.
emptyFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
EmptyFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.EmptyFilter
 
emptyFull2D() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
emptyFull2D() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
 
enable_tracing() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Enable tracing.
enableTsurgeon(boolean) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
 
enc - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
The encoding for file input.
encodedInputStreamReader(InputStream, String) - Static method in class edu.stanford.nlp.io.IOUtils
Create a Reader with an explicit encoding around an InputStream.
encodedOutputStreamPrintWriter(OutputStream, String, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
Create a Reader with an explicit encoding around an InputStream.
encodedOutputStreamWriter(OutputStream, String) - Static method in class edu.stanford.nlp.io.IOUtils
Create a Reader with an explicit encoding around an InputStream.
encoding - Variable in class edu.stanford.nlp.pipeline.AnnotationOutputter.Options
 
ENCODING - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
ENCODING - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
encoding - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
ENCODING - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
encoding() - Method in class edu.stanford.nlp.trees.Treebank
Returns the encoding in use for treebank file bytestream access.
ENCODING_PROPERTY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
EncodingFileReader - Class in edu.stanford.nlp.io
This is a convenience class which works almost exactly like FileReader but allows for the specification of input encoding.
EncodingFileReader(String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
Creates a new EncodingFileReader, given the name of the file to read from.
EncodingFileReader(String, String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
Creates a new EncodingFileReader, given the name of the file to read from and an encoding
EncodingFileReader(File) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
Creates a new EncodingFileReader, given the File to read from, and using default of utf-8.
EncodingFileReader(File, String) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
Creates a new FileReader, given the File to read from and encoding.
EncodingFileReader(FileDescriptor) - Constructor for class edu.stanford.nlp.io.EncodingFileReader
Creates a new FileReader, given the FileDescriptor to read from.
EncodingPrintWriter - Class in edu.stanford.nlp.io
A convenience IO class with print and println statements to standard output and standard error allowing encoding in an arbitrary character set.
EncodingPrintWriter.err - Class in edu.stanford.nlp.io
Print methods wrapped around System.err
EncodingPrintWriter.out - Class in edu.stanford.nlp.io
Print methods wrapped around System.out
end() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
end() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
end(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
end(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
end(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
end(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns the index of the next element after the subsequence captured by the given group during this match.
end - Variable in class edu.stanford.nlp.parser.common.ParserConstraint
 
end - Variable in class edu.stanford.nlp.parser.lexparser.Item
 
end - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
 
end() - Method in class edu.stanford.nlp.time.SUTime.Range
 
end() - Method in class edu.stanford.nlp.trees.Constituent
access end node.
end() - Method in class edu.stanford.nlp.trees.SimpleConstituent
access end node.
end(String) - Method in class edu.stanford.nlp.util.Timing
Print the timing done message with elapsed time in x.y seconds.
endDocument() - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
 
endDoing() - Static method in class edu.stanford.nlp.util.Timing
Finish the line from startDoing with the end of the timing done message and elapsed time in x.y seconds.
endDoing(String) - Static method in class edu.stanford.nlp.util.Timing
Finish the line from startDoing with the end of the timing done message and elapsed time in x.y seconds.
endElement(String, String, String) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
 
endFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
endIndex - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
One past the end word number, indexed from 1
endIndex - Variable in class edu.stanford.nlp.dcoref.Mention
 
EndIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EndIndexAnnotation
 
endNode - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
 
endOfQueue() - Method in class edu.stanford.nlp.parser.shiftreduce.State
 
endPoint() - Method in class edu.stanford.nlp.time.Timex
 
ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
 
endPosition() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the ending character offset of the label (or -1 if none).
endPosition() - Method in interface edu.stanford.nlp.ling.HasOffset
Return the ending character offset of the label (or -1 if none).
endPosition() - Method in class edu.stanford.nlp.ling.IndexedWord
 
endPosition() - Method in class edu.stanford.nlp.ling.StringLabel
 
endThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood
Signal that all threads have run to completion, and the multithreaded environment is over.
endThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
endTime() - Method in class edu.stanford.nlp.time.SUTime.Range
 
endTime() - Static method in class edu.stanford.nlp.util.Timing
Return elapsed time on (static) timer (without stopping timer).
endTime(String, PrintStream) - Static method in class edu.stanford.nlp.util.Timing
Print elapsed time on (static) timer (without stopping timer).
endTime(String) - Static method in class edu.stanford.nlp.util.Timing
Print elapsed time on (static) timer to System.err (without stopping timer).
endTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood
End a "track;" that is, return to logging at one level shallower.
endTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood
A utility method for closing calls to the anonymous startTrack() call.
endTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
endTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
endTrackIfOpen(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
endTracksTo(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
endTracksUntil(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
EnglishGrammaticalRelations - Class in edu.stanford.nlp.trees
EnglishGrammaticalRelations is a set of GrammaticalRelation objects for the English language.
EnglishGrammaticalStructure - Class in edu.stanford.nlp.trees
A GrammaticalStructure for English.
EnglishGrammaticalStructure(Tree) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
Construct a new GrammaticalStructure from an existing parse tree.
EnglishGrammaticalStructure(Tree, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
This gets used by GrammaticalStructureFactory (by reflection).
EnglishGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
This gets used by GrammaticalStructureFactory (by reflection).
EnglishGrammaticalStructure(Tree, Predicate<String>, HeadFinder, boolean) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
Construct a new GrammaticalStructure from an existing parse tree.
EnglishGrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure
Used for postprocessing CoNLL X dependencies
EnglishGrammaticalStructure.FromDependenciesFactory - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalStructureFactory - Class in edu.stanford.nlp.trees
 
EnglishGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
 
EnglishGrammaticalStructureFactory(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
 
EnglishGrammaticalStructureFactory(Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
 
EnglishPatterns - Class in edu.stanford.nlp.trees
This class contains some English String or Tregex regular expression patterns.
EnglishPTBTreebankCorrector - Class in edu.stanford.nlp.trees
 
EnglishPTBTreebankCorrector() - Constructor for class edu.stanford.nlp.trees.EnglishPTBTreebankCorrector
 
EnglishSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishSubcategoryStripper
 
EnglishTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
Parser parameters for the Penn English Treebank (WSJ, Brown, Switchboard).
EnglishTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
EnglishTreebankParserParams.EnglishSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
 
EnglishTreebankParserParams.EnglishTest - Class in edu.stanford.nlp.parser.lexparser
 
EnglishTreebankParserParams.EnglishTrain - Class in edu.stanford.nlp.parser.lexparser
 
EnglishUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser
This is a basic unknown word model for English.
EnglishUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>) - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
 
EnglishUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
This constructor creates an UWM with empty data structures.
EnglishUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
 
EnglishUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModelTrainer
 
englishWordsFiles - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
English words that are not labeled when labeling using seed dictionaries
ensure(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
ensureDir(File) - Static method in class edu.stanford.nlp.io.IOUtils
Given a filepath, makes sure a directory exists there.
ensureKeys(Counter<E>, Collection<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
ensures that counter t has all keys in keys.
ensureRealValues() - Method in class edu.stanford.nlp.classify.RVFDataset
Checks if the dataset has any unbounded values.
ensureSize() - Method in class edu.stanford.nlp.classify.Dataset
 
ensureSize() - Method in class edu.stanford.nlp.classify.WeightedDataset
 
ENTITY_LEVEL - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReading
 
entityAlias(CorefCluster, CorefCluster, Semantics, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityAttributesAgree(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityAttributesAgree(CorefCluster, CorefCluster, boolean) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityBothHaveProper(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.dcoref.Rules
 
EntityCachingAbstractSequencePriorBIO<IN extends CoreMap> - Class in edu.stanford.nlp.ie
This class keeps track of all labeled entities and updates the its list whenever the label at a point gets changed.
EntityCachingAbstractSequencePriorBIO(String, Index<String>, Index<String>, List<IN>) - Constructor for class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
EntityClassAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityClassAnnotation
 
entityClassifier - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
entityClusterAllCorefDictionary(CorefCluster, CorefCluster, Dictionaries, int, int) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityCorefDictionary(Mention, Mention, Dictionaries, int, int) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityExactStringMatch(CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityExtractor - Variable in class edu.stanford.nlp.ie.machinereading.MachineReading
 
entityGazetteerPath - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
entityHaveDifferentLocation(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityHaveExtraProperNoun(Mention, Mention, Set<String>) - Static method in class edu.stanford.nlp.dcoref.Rules
Have extra proper noun except strings involved in semantic match
entityHaveIncompatibleModifier(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.dcoref.Rules
Compatible modifier only
entityHaveIncompatibleModifier(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
Check whether later mention has incompatible modifier
entityHeadsAgree(CorefCluster, CorefCluster, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityIsAcronym(Document, CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityIsApposition(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityIsPredicateNominatives(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityIsRelativePronoun(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityIsRoleAppositive(CorefCluster, CorefCluster, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityIWithinI(CorefCluster, CorefCluster, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityIWithinI(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
Check whether two mentions are in i-within-i relation (Chomsky, 1981)
entityMatrix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
entityMatrixCh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
entityMatrixEn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
EntityMention - Class in edu.stanford.nlp.ie.machinereading.structure
Each entity mention is described by a type (possibly subtype) and a span of text
EntityMention(String, CoreMap, Span, Span, String, String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
entityMentionFactory - Variable in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
EntityMentionFactory - Class in edu.stanford.nlp.ie.machinereading.structure
 
EntityMentionFactory() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.EntityMentionFactory
 
EntityMentionsAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.EntityMentionsAnnotation
 
entityMentionsToCoreLabels(CoreMap, Set<String>, boolean, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
Converts the labels of all entity mentions in this dataset to sequences of CoreLabels
entityNumberInLaterMention(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
Check whether there is a new number in later mention
entityPersonDisagree(Document, CorefCluster, CorefCluster, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityPersonDisagree(Document, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityRelaxedExactStringMatch(CorefCluster, CorefCluster, Mention, Mention, Dictionaries, Set<Mention>) - Static method in class edu.stanford.nlp.dcoref.Rules
Exact string match except phrase after head (only for proper noun): For dealing with a error like "[Mr.
entityRelaxedHeadsAgreeBetweenMentions(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityResultsPrinters - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
EntityRuleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityRuleAnnotation
 
entitySameProperHeadLastWord(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entitySameProperHeadLastWord(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
Check whether two mentions have the same proper head words
entitySameSpeaker(Document, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
Do the mentions share the same speaker?
entitySubclassification - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
entitySubjectObject(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
 
entityTokenDistance(Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
 
EntityTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityTypeAnnotation
 
entityTypesAgree(Mention, Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
 
entityTypesAgree(Mention, Dictionaries, boolean) - Method in class edu.stanford.nlp.dcoref.Mention
 
entityWordsIncluded(CorefCluster, CorefCluster, Mention, Mention) - Static method in class edu.stanford.nlp.dcoref.Rules
Word inclusion except stop words
entropy(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
entropy(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Calculates the entropy of the given counter (in bits).
entrySet() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
entrySet() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
entrySet() - Method in class edu.stanford.nlp.neural.Embedding
 
entrySet() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns a view of the entries in this counter.
entrySet() - Method in interface edu.stanford.nlp.stats.Counter
Returns a view of the entries in this counter.
entrySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns the set of entries in the GeneralizedCounter.
entrySet() - Method in class edu.stanford.nlp.stats.IntCounter
Returns a view of the doubles in this map.
entrySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
entrySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
entrySet() - Method in class edu.stanford.nlp.util.ArrayMap
 
entrySet() - Method in class edu.stanford.nlp.util.CollectionValuedMap
Each element of the Set is a Map.Entry object, where getKey() returns the key of the mapping, and getValue() returns the Collection mapped to by the key.
entrySet() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
This is cheap.
entrySet() - Method in class edu.stanford.nlp.util.DeltaMap
This is cheap.
entrySet() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
 
Env - Class in edu.stanford.nlp.ling.tokensregex
Holds environment variables to be used for compiling string into a pattern.
Env(SequencePattern.Parser) - Constructor for class edu.stanford.nlp.ling.tokensregex.Env
 
env - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Environment for TokenSequencePattern
env - Static variable in class edu.stanford.nlp.patterns.surface.Token
 
Env.Binder - Interface in edu.stanford.nlp.ling.tokensregex
Interface for performing custom binding of values to the environment
EnvLookup - Class in edu.stanford.nlp.ling.tokensregex
Provides lookup functions using an Env
EnvLookup() - Constructor for class edu.stanford.nlp.ling.tokensregex.EnvLookup
 
eol - Variable in exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
The end of line string for this machine.
eol - Variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException
The end of line string for this machine.
eol - Variable in exception edu.stanford.nlp.trees.tregex.ParseException
The end of line string for this machine.
eol - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
The end of line string for this machine.
EOL_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.TokenizerAnnotator
 
eolChar - Static variable in class edu.stanford.nlp.io.IOUtils
 
eolString - Variable in class edu.stanford.nlp.process.TokenizerAdapter
 
EOS_TAG - Static variable in class edu.stanford.nlp.tagger.common.Tagger
 
EOS_WORD - Static variable in class edu.stanford.nlp.tagger.common.Tagger
 
epochs - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
Number of times through all the trees
eps - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
Only used in the IIS optimization routines.
epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
epsilon - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
 
epsilon - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
EPSILON_INPUT - Static variable in class edu.stanford.nlp.fsm.TransducerGraph
 
equalContents(int[][], int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Tests two int[][] arrays for having equal contents.
equalContents(int[], int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
tests two int[] arrays for having equal contents
equalContext(SurfacePattern) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
equals(Object) - Method in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
 
equals(Object) - Method in class edu.stanford.nlp.dcoref.CorefChain
 
equals(Object) - Method in class edu.stanford.nlp.fsm.DFSAState
 
equals(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
equals(Object) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
equals(Object) - Method in class edu.stanford.nlp.ie.crf.CRFDatum
Returns whether the given Datum contains the same features as this Datum.
equals(Object) - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
equals(EntityMention, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
equals(Object) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
equals(Object) - Method in class edu.stanford.nlp.ling.BasicDatum
Returns whether the given Datum contains the same features as this Datum.
equals(Object) - Method in class edu.stanford.nlp.ling.IndexedWord
This .equals is dependent only on docID, sentenceIndex, and index.
equals(Object) - Method in class edu.stanford.nlp.ling.MultiTokenTag
 
equals(Object) - Method in class edu.stanford.nlp.ling.MultiTokenTag.Tag
 
equals(Object) - Method in class edu.stanford.nlp.ling.RVFDatum
Returns whether the given RVFDatum contains the same features with the same values as this RVFDatum.
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
 
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
 
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
 
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
 
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
 
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
 
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleExpression
 
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
 
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
 
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarAssignmentExpression
 
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
 
equals(Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
 
equals(Object) - Method in class edu.stanford.nlp.ling.ValueLabel
Equality for ValueLabels is defined in the first instance as equality of their String value().
equals(Object) - Method in class edu.stanford.nlp.ling.WordLemmaTag
Equality is satisfied only if the compared object is a WordLemmaTag and has String-equal word, lemma and tag fields.
equals(Object) - Method in class edu.stanford.nlp.ling.WordTag
A WordTag is equal only to another WordTag with the same word and tag values.
equals(DoubleAD) - Method in class edu.stanford.nlp.math.DoubleAD
 
equals(double, double) - Method in class edu.stanford.nlp.math.DoubleAD
 
equals(double, double, double) - Method in class edu.stanford.nlp.math.DoubleAD
 
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
 
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.Edge
 
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.Hook
Hooks are equal if they have same state, substate, head, tag, start, and end.
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
 
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
 
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
equals(Object) - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
A UnaryRule is equal to another UnaryRule with the same parent and child.
equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
 
equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
 
equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
 
equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition
 
equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition
 
equals(Object) - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition
 
equals(Object) - Method in class edu.stanford.nlp.patterns.surface.PatternToken
 
equals(Object) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
equals(Object) - Method in class edu.stanford.nlp.patterns.surface.Token
 
equals(Object) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
equals(Object) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
equals(Object) - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
Defined on map only.
equals(Object) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
 
equals(Object) - Method in class edu.stanford.nlp.stats.ClassicCounter
Equality is defined over all Counter implementations.
equals(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Default equality comparison for two counters potentially backed by alternative implementations.
equals(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Equality comparison between two counters, allowing for a tolerance fudge factor.
equals(Object) - Method in class edu.stanford.nlp.stats.Distribution
 
equals(Distribution<E>) - Method in class edu.stanford.nlp.stats.Distribution
 
equals(Object) - Method in class edu.stanford.nlp.stats.IntCounter
 
equals(Object) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
equals(Object) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
Equality is tested only on the word, and not the various counts that are maintained.
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
equals(Object) - Method in class edu.stanford.nlp.tagger.maxent.History
 
equals(Object) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
 
equals(Object) - Method in class edu.stanford.nlp.time.Timex
 
equals(Object) - Method in class edu.stanford.nlp.trees.Constituent
Compare with another Object for equality.
equals(Object) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
Grammatical relations are equal with other grammatical relations if they have the same shortName and specific (if present).
equals(Object) - Method in class edu.stanford.nlp.trees.NamedDependency
 
equals(Span) - Method in class edu.stanford.nlp.trees.Span
An overloading for efficiency for when you know that you're comparing with a Span.
equals(Object) - Method in class edu.stanford.nlp.trees.Tree
Implements equality for Tree's.
equals(Object) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Implements equality for TreeGraphNodes.
equals(Object) - Method in class edu.stanford.nlp.trees.TypedDependency
 
equals(Object) - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
equals(Object) - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
equals(Object) - Method in class edu.stanford.nlp.util.ArrayCoreMap
Two CoreMaps are equal iff all keys and values are .equal.
equals(Object) - Method in class edu.stanford.nlp.util.ArrayMap
 
equals(Object) - Method in class edu.stanford.nlp.util.ArrayStringFilter
 
equals(double[][], double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Tests two double[][] arrays for having equal contents.
equals(boolean[][], boolean[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Tests two boolean[][] arrays for having equal contents.
equals(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
equals(Object) - Method in class edu.stanford.nlp.util.HashableCoreMap
If the provided object is a HashableCoreMap, equality is based only upon the values of the immutable hashkeys; otherwise, defaults to behavior of the superclass's equals method.
equals(Object) - Method in class edu.stanford.nlp.util.HashIndex
 
equals(Object) - Method in class edu.stanford.nlp.util.Interval
 
equals(Object) - Method in class edu.stanford.nlp.util.IntPair
 
equals(Object) - Method in class edu.stanford.nlp.util.IntTuple
 
equals(Redwood.Record, Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
 
equals(Redwood.Record, Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
 
equals(Redwood.Record, Redwood.Record) - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
 
equals(Object) - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
 
equals(Object) - Method in class edu.stanford.nlp.util.MetaClass
 
equals(Object) - Method in class edu.stanford.nlp.util.MutableDouble
Compares this object to the specified object.
equals(Object) - Method in class edu.stanford.nlp.util.MutableInteger
Compares this object to the specified object.
equals(Object) - Method in class edu.stanford.nlp.util.MutableLong
Compares this object to the specified object.
equals(Object) - Method in class edu.stanford.nlp.util.Pair
 
equals(Object) - Method in class edu.stanford.nlp.util.Quadruple
 
equals(Object) - Method in class edu.stanford.nlp.util.RegexStringFilter
 
equals(Object) - Method in class edu.stanford.nlp.util.ScoredComparator
 
equals(Object) - Method in class edu.stanford.nlp.util.TreeShapedStack
 
equals(Object) - Method in class edu.stanford.nlp.util.Triple
 
equals(Object) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
equals(Object) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
 
EQUALS_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
equalsIgnoreName(Object) - Method in interface edu.stanford.nlp.trees.Dependency
Are two dependencies equal if you ignore the dependency name.
equalsIgnoreName(Object) - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
EqualsNodePattern(T) - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.EqualsNodePattern
 
equivalenceClass(IN) - Method in interface edu.stanford.nlp.stats.EquivalenceClasser
 
EquivalenceClasser<IN,OUT> - Interface in edu.stanford.nlp.stats
A strategy-type interface for specifying a function from Objects to their equivalence classes.
equivalenceClasses - Variable in class edu.stanford.nlp.sentiment.RNNOptions
The following option represents classes which can be treated as equivalent when scoring.
equivalenceClassNames - Variable in class edu.stanford.nlp.sentiment.RNNOptions
 
era - Variable in class edu.stanford.nlp.time.SUTime.IsoDate
Era: BC is era 0, AD is era 1, Unknown is -1
ERA_AD - Static variable in class edu.stanford.nlp.time.SUTime
 
ERA_BC - Static variable in class edu.stanford.nlp.time.SUTime
 
ERA_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
 
ErasureUtils - Class in edu.stanford.nlp.util
Class to gather unsafe operations into one place.
err() - Static method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler
 
ERR - Static variable in class edu.stanford.nlp.util.logging.Redwood
 
err(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
 
ERR - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
err(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
errorMatrix - Variable in class edu.stanford.nlp.ie.crf.CRFClassifierNoisyLabel
 
errorMatrix - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
 
errorMatrix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
escape(String) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
Escapes tokens from flat strings that are reserved for usage in the ATB.
escapeAttributeXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns a String in which some XML special characters have been escaped.
escapeChars - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
 
escapeElementXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns a String in which some the XML special characters have been escaped: just the ones that need escaping in an element content.
escaper - Variable in class edu.stanford.nlp.parser.nndep.Config
Defines a word-escaper to use when parsing raw sentences.
escapeString(String) - Method in class edu.stanford.nlp.process.PTBEscapingProcessor
 
escapeString(String, char[], char) - Static method in class edu.stanford.nlp.util.StringUtils
 
escapeTextAroundXMLTags(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
escapeXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns a String in which all the XML special characters have been escaped.
estimateInitial - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
ETC - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "etc" grammatical relation.
Eval - Interface in edu.stanford.nlp.parser.metrics
An interface which can be implemented by anything that evaluates one tree at a time and then prints out a summary when done.
eval(List<Tree>) - Method in class edu.stanford.nlp.sentiment.Evaluate
 
eval(Tree) - Method in class edu.stanford.nlp.sentiment.Evaluate
 
evalb - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Write EvalB-readable output files.
Evalb - Class in edu.stanford.nlp.parser.metrics
A Java re-implementation of the evalb bracket scoring metric (Collins, 1997) that accepts Unicode input.
Evalb(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.Evalb
 
Evalb.CBEval - Class in edu.stanford.nlp.parser.metrics
 
EvalbByCat - Class in edu.stanford.nlp.parser.metrics
Computes labeled precision and recall (evalb) at the constituent category level.
EvalbByCat(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.EvalbByCat
 
EvalbByCat(String, boolean, String) - Constructor for class edu.stanford.nlp.parser.metrics.EvalbByCat
 
EvalbFormatWriter - Class in edu.stanford.nlp.parser.lexparser
 
EvalbFormatWriter() - Constructor for class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
 
evalBIgnoredPunctuationTagAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a filter that accepts a String that is a punctuation tag that should be ignored by EVALB-style evaluation, and rejects everything else.
evalBIgnoredPunctuationTagAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a filter that accepts a String that is a punctuation tag that should be ignored by EVALB-style evaluation, and rejects everything else.
evalBIgnoredPunctuationTagRejectFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a filter that accepts everything except a String that is a punctuation tag that should be ignored by EVALB-style evaluation.
evalBIgnoredPunctuationTagRejectFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a filter that accepts everything except a String that is a punctuation tag that should be ignored by EVALB-style evaluation.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalBIgnoredPunctuationTags() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a String array of punctuation tags that EVALB-style evaluation should ignore for this treebank/language.
evalCmd - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
evalGF - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
If true, then evaluation is over grammatical functions as well as the labels If false, then grammatical functions are stripped for evaluation.
evalPCFGkBest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If using a kBest eval, use this many trees.
evalPerIter - Variable in class edu.stanford.nlp.parser.nndep.Config
During training, run a full UAS evaluation after every evalPerIter iterations.
evals - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
What evaluations to report and how to report them (using LexicalizedParser).
evaluate(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
 
evaluate(Env) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AssignmentRule
 
evaluate(Env, Object...) - Method in interface edu.stanford.nlp.ling.tokensregex.types.Expression
Evaluates the expression using the specified environment and arguments.
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
 
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
 
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.IfExpression
 
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
 
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
 
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchResultVarExpression
 
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
 
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
 
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
 
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarAssignmentExpression
 
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarExpression
 
evaluate(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
 
evaluate(double[]) - Method in class edu.stanford.nlp.optimization.CmdEvaluator
 
evaluate(double[]) - Method in interface edu.stanford.nlp.optimization.Evaluator
 
evaluate(double[]) - Method in class edu.stanford.nlp.optimization.MemoryEvaluator
 
evaluate(Tree, Tree) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
 
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
 
evaluate(Tree, Tree, PrintWriter, double) - Method in class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
 
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
 
evaluate(Tree, Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
evaluate(Tree, Tree, PrintWriter, double) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
 
evaluate(List<Tree>, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.BestOfTopKEval
 
evaluate(Tree, Tree) - Method in interface edu.stanford.nlp.parser.metrics.Eval
 
evaluate(Tree, Tree, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.Eval
 
evaluate(Tree, Tree, PrintWriter, double) - Method in interface edu.stanford.nlp.parser.metrics.Eval
 
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.Evalb.CBEval
 
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.Evalb
 
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.EvalbByCat
 
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.LeafAncestorEval
 
evaluate(ParserQuery, Tree, PrintWriter) - Method in interface edu.stanford.nlp.parser.metrics.ParserQueryEval
 
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.TaggingEval
 
evaluate(Tree, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.UnlabeledAttachmentEval
 
evaluate(List<CoreMap>, List<DependencyTree>, List<DependencyTree>) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
Evaluate performance on a list of sentences, predicted parses, and gold parses.
evaluate(ParserQuery, Tree, PrintWriter) - Method in class edu.stanford.nlp.parser.shiftreduce.TreeRecorder
 
evaluate(Map<String, List<CoreLabel>>, boolean) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
Evaluate - Class in edu.stanford.nlp.sentiment
 
Evaluate(SentimentModel) - Constructor for class edu.stanford.nlp.sentiment.Evaluate
 
evaluate(Tree, TregexMatcher) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonMatcher
Evaluates the surgery pattern against a Tree and a TregexMatcher that has been successfully matched against the tree.
evaluateBackground - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
When scoring, count the background symbol stats too.
evaluateCmd(String[]) - Method in class edu.stanford.nlp.optimization.CmdEvaluator
 
evaluateCoverage(Collection<Tree>, Set<String>, Set<String>, Set<IntTaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Evaluates how many words (= terminals) in a collection of trees are covered by the lexicon.
evaluateIters - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
evaluateTrain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
EvaluateTreebank - Class in edu.stanford.nlp.parser.lexparser
 
EvaluateTreebank(LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.lexparser.EvaluateTreebank
 
EvaluateTreebank(Options, Lexicon, ParserGrammar) - Constructor for class edu.stanford.nlp.parser.lexparser.EvaluateTreebank
 
EvaluateTreebank(Options, Lexicon, ParserGrammar, Function<List<? extends HasWord>, List<TaggedWord>>) - Constructor for class edu.stanford.nlp.parser.lexparser.EvaluateTreebank
 
Evaluator - Interface in edu.stanford.nlp.optimization
 
EVENING - Static variable in class edu.stanford.nlp.time.SUTime
 
EVENING_TWILIGHT - Static variable in class edu.stanford.nlp.time.SUTime
 
EVENT_LEVEL - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReading
 
eventExtractor - Variable in class edu.stanford.nlp.ie.machinereading.MachineReading
 
EventMention - Class in edu.stanford.nlp.ie.machinereading.structure
 
EventMention(String, CoreMap, Span, String, String, ExtractionObject, List<ExtractionObject>, List<String>) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
EventMentionsAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.EventMentionsAnnotation
 
eventResultsPrinters - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
EXACT - Static variable in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
 
ExactBestSequenceFinder - Class in edu.stanford.nlp.sequences
A class capable of computing the best sequence given a SequenceModel.
ExactBestSequenceFinder() - Constructor for class edu.stanford.nlp.sequences.ExactBestSequenceFinder
 
exactBinomial(int, int, double) - Static method in class edu.stanford.nlp.math.SloppyMath
Find a one tailed exact binomial test probability.
ExactGrammarCompactor - Class in edu.stanford.nlp.parser.lexparser
 
ExactGrammarCompactor(Options, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.ExactGrammarCompactor
 
ExactMatchCost<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher
Exact match cost function
ExactMatchCost() - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ExactMatchCost
 
ExactMatchCost(double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ExactMatchCost
 
ExactMatchCost(double, double, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ExactMatchCost
 
exactNodeAccuracy() - Method in class edu.stanford.nlp.sentiment.Evaluate
 
ExactRepeatSemantics() - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
 
exactRootAccuracy() - Method in class edu.stanford.nlp.sentiment.Evaluate
 
ExactStringMatch - Class in edu.stanford.nlp.dcoref.sievepasses
 
ExactStringMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.ExactStringMatch
 
examineIntersection(Set<String>, Set<String>) - Static method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
excelify(String) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
Process string to be a cell in Excel file.
exec(Runnable) - Static method in class edu.stanford.nlp.util.Execution
 
exec(Runnable, Class[]) - Static method in class edu.stanford.nlp.util.Execution
 
exec(Runnable, String[]) - Static method in class edu.stanford.nlp.util.Execution
 
exec(Runnable, String[], Class[]) - Static method in class edu.stanford.nlp.util.Execution
 
exec(Runnable, String[], Class[], boolean) - Static method in class edu.stanford.nlp.util.Execution
 
exec(Runnable, String[], boolean) - Static method in class edu.stanford.nlp.util.Execution
 
exec(Runnable, Properties) - Static method in class edu.stanford.nlp.util.Execution
 
exec(Runnable, Properties, boolean) - Static method in class edu.stanford.nlp.util.Execution
 
executeOneTrainingBatch(List<Tree>, IdentityHashMap<Tree, byte[]>, double[]) - Method in class edu.stanford.nlp.parser.dvparser.DVParser
 
executeOneTrainingBatch(SentimentModel, List<Tree>, double[]) - Static method in class edu.stanford.nlp.sentiment.SentimentTraining
 
Execution - Class in edu.stanford.nlp.util
A class to set command line options.
Execution() - Constructor for class edu.stanford.nlp.util.Execution
 
Execution.LazyFileIterator - Class in edu.stanford.nlp.util
A lazy iterator over files, not loading all of them into memory at once.
Execution.Option - Annotation Type in edu.stanford.nlp.util
 
ExhaustiveDependencyParser - Class in edu.stanford.nlp.parser.lexparser
An exhaustive O(n4t2) time and O(n2t) space dependency parser.
ExhaustiveDependencyParser(DependencyGrammar, Lexicon, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
 
ExhaustivePCFGParser - Class in edu.stanford.nlp.parser.lexparser
An exhaustive generalized CKY PCFG parser.
ExhaustivePCFGParser(BinaryGrammar, UnaryGrammar, Lexicon, Options, Index<String>, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
exhaustiveTest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
 
exists(Map<String, String>, String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
Verifies if the given string exists in the given dictionary
existsInClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
Check if this path exists either in the classpath or on the filesystem.
exit(int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
Exits with a given status code
exit() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
Exits with status code 0, stopping Redwood first
exp(DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
 
exp(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
exp(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
 
expand(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
Returns (smallest) interval that contains both this and the other interval
expandDependency(IntDependency, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
The dependency arg is still in the full tag space.
expandDependencyMap - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
expandMidDot - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
expandStringRegex(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
expandToInclude(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
expectedAndEmpiricalCountsAndValueForADoc(double[][], double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
expectedAndEmpiricalCountsAndValueForADoc(double[][], double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
 
expectedCountsAndValueForADoc(double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
expectedCountsAndValueForADoc(double[][], int, boolean, boolean) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
expectedCountsForADoc(double[][], int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
expectedTokenSequences - Variable in exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
Each entry in this array is an array of integers.
expectedTokenSequences - Variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException
Each entry in this array is an array of integers.
expectedTokenSequences - Variable in exception edu.stanford.nlp.trees.tregex.ParseException
Each entry in this array is an array of integers.
expectedTokenSequences - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
Each entry in this array is an array of integers.
expectedValue() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Each pair x,y has a value in p.data.values[x][y]
Experiments - Class in edu.stanford.nlp.maxent
This class represents the training samples.
Experiments() - Constructor for class edu.stanford.nlp.maxent.Experiments
 
Experiments(int[][]) - Constructor for class edu.stanford.nlp.maxent.Experiments
If this constructor is used, the maximum possible class overall is found and all classes are assumed possible for all instances.
Experiments(int[][], int[]) - Constructor for class edu.stanford.nlp.maxent.Experiments
The number of possible classes for each instance is contained in the array maxYs then the possible classes for x are from 0 to maxYs[x]-1.
Experiments(int[][], int) - Constructor for class edu.stanford.nlp.maxent.Experiments
 
Experiments(String) - Constructor for class edu.stanford.nlp.maxent.Experiments
The filename has format: <data><xSize>xSize</xSize><ySize>ySize</ySize> x1 y1 x2 y2 ..
expInPlace(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
expInPlace(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
 
EXPLETIVE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "expletive" grammatical relation.
ExplicitTemporalSet(SUTime.Temporal...) - Constructor for class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
 
ExplicitTemporalSet(Set<SUTime.Temporal>) - Constructor for class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
 
ExplicitTemporalSet(SUTime.ExplicitTemporalSet, Set<SUTime.Temporal>) - Constructor for class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
 
exportFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
expr - Variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
 
EXPR_LENGTH_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
EXPR_LENGTH_PRIORITY_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
EXPR_ORDER_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
EXPR_PRIORITY_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
EXPR_PRIORITY_LENGTH_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
EXPR_TO_TOKEN_OFFSETS_INTERVAL_FUNC - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
EXPR_TOKEN_OFFSET_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
EXPR_TOKEN_OFFSETS_NESTED_FIRST_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
EXPR_WEIGHT_SCORER - Static variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
Expression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
Expression - Interface in edu.stanford.nlp.ling.tokensregex.types
This interfaces represents an expression that can be evaluated to obtain a value
ExpressionExtractorRule(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
Expressions - Class in edu.stanford.nlp.ling.tokensregex.types
Various implementations of the Expression interface.
Expressions() - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
Expressions.AndExpression - Class in edu.stanford.nlp.ling.tokensregex.types
 
Expressions.AssignableFunctionCallExpression - Class in edu.stanford.nlp.ling.tokensregex.types
A function call that can be assigned a value.
Expressions.CaseExpression - Class in edu.stanford.nlp.ling.tokensregex.types
 
Expressions.CompositeValue - Class in edu.stanford.nlp.ling.tokensregex.types
A composite value with field names and values for each field
Expressions.ConditionalExpression - Class in edu.stanford.nlp.ling.tokensregex.types
 
Expressions.FieldExpression - Class in edu.stanford.nlp.ling.tokensregex.types
 
Expressions.FunctionCallExpression - Class in edu.stanford.nlp.ling.tokensregex.types
 
Expressions.IfExpression - Class in edu.stanford.nlp.ling.tokensregex.types
 
Expressions.IndexedExpression - Class in edu.stanford.nlp.ling.tokensregex.types
 
Expressions.ListExpression - Class in edu.stanford.nlp.ling.tokensregex.types
 
Expressions.MethodCallExpression - Class in edu.stanford.nlp.ling.tokensregex.types
 
Expressions.NotExpression - Class in edu.stanford.nlp.ling.tokensregex.types
 
Expressions.OrExpression - Class in edu.stanford.nlp.ling.tokensregex.types
 
Expressions.PrimitiveValue<T> - Class in edu.stanford.nlp.ling.tokensregex.types
Primitive value that is directly represented by a Java object of type T
Expressions.RegexMatchResultVarExpression - Class in edu.stanford.nlp.ling.tokensregex.types
 
Expressions.RegexMatchVarExpression - Class in edu.stanford.nlp.ling.tokensregex.types
 
Expressions.RegexValue - Class in edu.stanford.nlp.ling.tokensregex.types
A string that represents a regular expression
Expressions.SimpleCachedExpression<T> - Class in edu.stanford.nlp.ling.tokensregex.types
A simple implementation of an expression that is represented by a java object of type T and which also has a cached Value stored with it
Expressions.SimpleExpression<T> - Class in edu.stanford.nlp.ling.tokensregex.types
A simple implementation of an expression that is represented by a java object of type T
Expressions.SimpleValue<T> - Class in edu.stanford.nlp.ling.tokensregex.types
Simple implementation of Value backed by a java object of type T
Expressions.TypedExpression - Class in edu.stanford.nlp.ling.tokensregex.types
An expression with a typename and tags
Expressions.VarAssignmentExpression - Class in edu.stanford.nlp.ling.tokensregex.types
A variable assignment with the name of the variable, and the expression to assign to that variable
Expressions.VarExpression - Class in edu.stanford.nlp.ling.tokensregex.types
A variable, which can be assigned any expression.
Expressions.WrappedExpression - Class in edu.stanford.nlp.ling.tokensregex.types
An expression that is a wrapper around another expression
exSize - Variable in class edu.stanford.nlp.maxent.Problem
 
ExtensionFileFilter - Class in edu.stanford.nlp.io
Implements a file filter that uses file extensions to filter files.
ExtensionFileFilter(String, boolean) - Constructor for class edu.stanford.nlp.io.ExtensionFileFilter
Sets up Extension file filter by specifying an extension to accept (currently only 1) and whether to also display folders for recursive search.
ExtensionFileFilter(String) - Constructor for class edu.stanford.nlp.io.ExtensionFileFilter
Sets up an extension file filter that will recurse into sub directories.
extentTokenSpan - Variable in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
Maximal token span relevant for this object, e.g., the largest NP for an entity mention The offsets are relative to the sentence that contains this object
externalFeatureWeightsFile - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
extra() - Method in class edu.stanford.nlp.trees.TypedDependency
 
extract(S, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
 
extract(List<? extends CoreMap>, List<MatchedExpression>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.BasicSequenceExtractRule
 
extract(CoreMap, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapExtractRule
 
extract(CoreMap, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListExtractRule
 
extract(I, List<O>) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ExtractRule
 
extract(I, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.FilterExtractRule
 
extract(I, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
 
extract(List<? extends T>, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
 
extract(String, List<O>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
 
extract() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
extract(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
extract(Collection<Tree>, double, Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
extract(Iterator<Tree>, Function<Tree, Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
extract(Iterator<Tree>, Function<Tree, Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
extract(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Extractor
 
extract(Iterator<Tree>, Function<Tree, Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Extractor
 
extract(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
extract(Collection<Tree>, double, Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
First, we do a few setup steps.
extractAllRelations(CoreMap) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
Predict a relation for each pair of entities in the sentence; including relations of type unrelated.
extractAnnotation(Env, CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
extractAnnotation(Env, List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
extractAnnotation(List<? extends CoreMap>, Map<Class, CoreMapAttributeAggregator>) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
extractAnnotation(Env, CoreMap) - Method in class edu.stanford.nlp.time.TimeExpression
 
extractAnnotation(Env, List<? extends CoreMap>) - Method in class edu.stanford.nlp.time.TimeExpression
 
extractBestParse(String, int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
Return the best parse of some category/state over a certain span.
extractBestParses(int, int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
Return all best parses (except no ties allowed on POS tags?).
extractCombinationMode(Properties) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
Either finds COMBINATION_MODE_PROPERTY or returns a default value
extractCombinationModeSafe(Properties) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
Either finds COMBINATION_MODE_PROPERTY or returns a default value.
extractCoreMaps(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
Returns list of coremaps that matches the specified rules
extractCoreMapsMergedWithTokens(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
Returns list of merged tokens and original tokens
extractCoreMapsToList(List<CoreMap>, CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
 
extractDatumSequence(int[][][], int, int, List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Creates a new CRFDatum from the preprocessed allData format, given the document number, position number, and a List of Object labels.
extractDay(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
 
extractedEdges - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
extractedHooks - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
extractEntities - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
extractEntity(int[], int, String) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
extracts the entity starting at the given position and adds it to the entity list.
extractEnumerations(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
 
extractEvents - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
extractExpressions(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
 
extractFields(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
Uses regexp matching to match month, day, and year fields TODO: Find a way to mark what;s already been handled in the string
extractFunc - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
Function indicating how to extract an value from annotation built from this expression
extractGoldCorefClusters() - Method in class edu.stanford.nlp.dcoref.Document
Extract gold coref cluster information.
extractGoldLinks() - Method in class edu.stanford.nlp.dcoref.Document
Extract gold coref link information
extractGoldMentions(CoNLL2011DocumentReader.Document) - Method in class edu.stanford.nlp.dcoref.CoNLLMentionExtractor
 
ExtractionObject - Class in edu.stanford.nlp.ie.machinereading.structure
Represents any object that can be extracted - entity, relation, event
ExtractionObject(String, CoreMap, Span, String, String) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
extractLabels(Map<Pair<Integer, Integer>, String>, List<HasWord>, String) - Static method in class edu.stanford.nlp.sentiment.BuildBinarizedDataset
 
extractMin() - Method in class edu.stanford.nlp.util.ArrayHeap
Finds the object with the minimum key, removes it from the heap, and returns it.
extractMin() - Method in interface edu.stanford.nlp.util.Heap
Returns the minimum object, then removes that object from the heap.
extractMonth(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
 
extractNamedEntityMentions(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
 
extractNgram(List<T>, int, int) - Static method in class edu.stanford.nlp.ling.Sentence
Returns the substring of the sentence from start (inclusive) to end (exclusive).
extractNPorPRP(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
 
Extractor - Interface in edu.stanford.nlp.ie.machinereading
 
Extractor<T> - Interface in edu.stanford.nlp.parser.lexparser
 
Extractor - Class in edu.stanford.nlp.tagger.maxent
This class serves as the base class for classes which extract relevant information from a history to give it to the features.
Extractor() - Constructor for class edu.stanford.nlp.tagger.maxent.Extractor
 
Extractor(int, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.Extractor
This constructor creates an extractor which extracts either the tag or the word from position position in the history.
ExtractorDistsim - Class in edu.stanford.nlp.tagger.maxent
Extractor for adding distsim information.
ExtractorDistsimConjunction - Class in edu.stanford.nlp.tagger.maxent
Extractor for adding a conjunction of distsim information.
ExtractorFrames - Class in edu.stanford.nlp.tagger.maxent
This class contains the basic feature extractors used for all words and tag sequences (and interaction terms) for the MaxentTagger, but not the feature extractors explicitly targeting generalization for rare or unknown words.
ExtractorFramesRare - Class in edu.stanford.nlp.tagger.maxent
This class contains feature extractors for the MaxentTagger that are only applied to rare (low frequency/unknown) words.
ExtractorMerger - Class in edu.stanford.nlp.ie.machinereading
Simple extractor which combines several other Extractors.
ExtractorMerger(Extractor[]) - Constructor for class edu.stanford.nlp.ie.machinereading.ExtractorMerger
 
Extractors - Class in edu.stanford.nlp.tagger.maxent
Maintains a set of feature extractors and applies them.
Extractors(Extractor[]) - Constructor for class edu.stanford.nlp.tagger.maxent.Extractors
Set the extractors from an array.
ExtractorVerbalVBNZero - Class in edu.stanford.nlp.tagger.maxent
Look for verbs selecting a VBN verb.
ExtractorVerbalVBNZero(int) - Constructor for class edu.stanford.nlp.tagger.maxent.ExtractorVerbalVBNZero
 
extractParse(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
extractPredictedMentions(Annotation, int, Dictionaries) - Method in interface edu.stanford.nlp.dcoref.CorefMentionFinder
Get all the predicted mentions for a document.
extractPredictedMentions(Annotation, int, Dictionaries) - Method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
Main method of mention detection.
extractPrefixedProperties(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Build a Properties object containing key-value pairs from the given data where the keys are prefixed with the given prefix.
extractPremarkedEntityMentions(CoreMap, List<Mention>, Set<IntPair>, Set<IntPair>) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
 
extractRelations - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
extractRelationSubflags(int, int) - Static method in class edu.stanford.nlp.util.Interval
 
extractRule - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
Actual rule performing the extraction (converting annotation to MatchedExpression)
extractTimeExpressionCoreMaps(CoreMap, CoreMap) - Method in interface edu.stanford.nlp.time.TimeExpressionExtractor
Extract time expressions from a sentence in a document.
extractTimeExpressionCoreMaps(CoreMap, String) - Method in interface edu.stanford.nlp.time.TimeExpressionExtractor
Extract time expressions in a document (provided as a CoreMap Annotation).
extractTimeExpressionCoreMaps(CoreMap, CoreMap) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
 
extractTimeExpressionCoreMaps(CoreMap, String) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
 
extractTimeExpressionCoreMaps(CoreMap, String, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
 
extractTimeExpressions(CoreMap, String, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
 
extractTimeExpressions(CoreMap, SUTime.Time, SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
 
extractWeekday(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
This is a backup method if everything else fails.
extractYear(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
 
extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
Returns a Filter which checks dependencies for usefulness as extra tree-based dependencies.
extraTreeDepFilter() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Returns a Filter which checks dependencies for usefulness as extra tree-based dependencies.
extremedebug - Static variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 

F

f1(int, int, int) - Static method in class edu.stanford.nlp.classify.PRCurve
 
facilityVehicleWeaponPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
FactoredLexicon - Class in edu.stanford.nlp.parser.lexparser
 
FactoredLexicon(MorphoFeatureSpecification, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.FactoredLexicon
 
FactoredLexicon(Options, MorphoFeatureSpecification, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.FactoredLexicon
 
FactoredLexiconEvent - Class in edu.stanford.nlp.parser.lexparser
 
FactoredLexiconEvent(int, int, int, int, int, String, String) - Constructor for class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
FactoredParser - Class in edu.stanford.nlp.parser.lexparser
 
FactoredSequenceListener - Class in edu.stanford.nlp.sequences
 
FactoredSequenceListener(SequenceListener, SequenceListener) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceListener
 
FactoredSequenceListener(SequenceListener[]) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceListener
 
FactoredSequenceModel - Class in edu.stanford.nlp.sequences
 
FactoredSequenceModel(SequenceModel, SequenceModel, double, double) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceModel
using this constructor results in a weighted addition of the two models' scores.
FactoredSequenceModel(SequenceModel, SequenceModel) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceModel
 
FactoredSequenceModel(SequenceModel[], double[]) - Constructor for class edu.stanford.nlp.sequences.FactoredSequenceModel
 
factorial(int) - Static method in class edu.stanford.nlp.math.SloppyMath
Uses floating point so that it can represent the really big numbers that come up.
factorInAlignmentProb - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
factorInBiEdgePotential - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
FactorTable - Class in edu.stanford.nlp.ie.crf
Stores a factor table as a one dimensional array of doubles.
FactorTable(int, int) - Constructor for class edu.stanford.nlp.ie.crf.FactorTable
 
FactorTable(FactorTable) - Constructor for class edu.stanford.nlp.ie.crf.FactorTable
 
factorTables - Variable in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
factory - Variable in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
 
factory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
 
factory() - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
Returns a factory for FrenchTokenizer.
factory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
 
factory - Variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
 
factory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
recommended factory method
factory(LexedTokenFactory<T>) - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
 
factory - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
 
factory() - Static method in class edu.stanford.nlp.ling.CategoryWordTag
Return a factory for this kind of label
factory() - Static method in class edu.stanford.nlp.ling.CoreLabel
Return a factory for this kind of label
factory() - Static method in class edu.stanford.nlp.ling.IndexedWord
 
factory() - Static method in class edu.stanford.nlp.ling.LabeledWord
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.StringLabel
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.Tag
Return a factory for this kind of label (i.e., Tag).
factory() - Static method in class edu.stanford.nlp.ling.TaggedWord
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.Word
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.ling.WordTag
Return a factory for this kind of label.
factory() - Static method in class edu.stanford.nlp.process.PTBTokenizer
 
factory(boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer
 
factory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Get a TokenizerFactory that does Penn Treebank tokenization.
factory - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
factory() - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
 
factory(boolean) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
 
factory(WordSegmenter) - Static method in class edu.stanford.nlp.process.WordSegmentingTokenizer
 
factory() - Static method in class edu.stanford.nlp.trees.LabeledConstituent
Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.LabeledScoredConstituent
Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Return a TreeFactory that produces trees of the LabeledScoredTree{Node|Leaf} type.
factory(LabelFactory) - Static method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Return a TreeFactory that produces trees of the LabeledScoredTree{Node|Leaf} type, with the Label made with the supplied LabelFactory.
factory() - Static method in class edu.stanford.nlp.trees.NamedDependency
 
factory() - Static method in class edu.stanford.nlp.trees.SimpleConstituent
Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.SimpleTree
Return a TreeFactory that produces trees of the SimpleTree type.
factory() - Static method in class edu.stanford.nlp.trees.Span
Return a factory for this kind of constituent.
factory() - Static method in class edu.stanford.nlp.trees.TreeGraphNode
Return a TreeFactory that produces trees of type TreeGraphNode.
factory(LabelFactory) - Static method in class edu.stanford.nlp.trees.TreeGraphNode
Return a TreeFactory that produces trees of type TreeGraphNode, with the Label made by the supplied LabelFactory.
factory() - Static method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
factory() - Static method in class edu.stanford.nlp.trees.UnnamedDependency
 
Factory<T> - Interface in edu.stanford.nlp.util
A generified factory class which creates instances of a particular type.
fail(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
Create a RuntimeException with arguments
fail() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
Create a new RuntimeException with no arguments
fakeDataset - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
FALL - Static variable in class edu.stanford.nlp.time.SUTime
 
FALL_EQUINOX - Static variable in class edu.stanford.nlp.time.SUTime
 
FALSE - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
FastExactAutomatonMinimizer - Class in edu.stanford.nlp.fsm
Minimization in n log n a la Hopcroft.
FastExactAutomatonMinimizer() - Constructor for class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
fastFactoredCandidateAddend - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
This variable says to find k good factored parses, how many added on best PCFG parses should be examined.
fastFactoredCandidateMultiplier - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
This variable says to find k good fast factored parses, how many times k of the best PCFG parses should be examined.
FastFactoredParser - Class in edu.stanford.nlp.parser.lexparser
Provides a much faster way to realize the factored parsing idea, including easily returning "k good" results at the expense of optimality.
fatal(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
 
fatal(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
featThreshFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
Feature - Class in edu.stanford.nlp.maxent
This class is used as a base class for TaggerFeature for the tagging problem and for BinaryFeature for the general problem with binary features.
Feature() - Constructor for class edu.stanford.nlp.maxent.Feature
 
Feature(Experiments, double[], Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature
This is if we are given an array of double with a value for each training sample in the order of their occurrence.
Feature(Experiments, double[][], Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature
 
Feature(Experiments, int, Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature
 
Feature(Experiments, int[], double[], Index<IntPair>) - Constructor for class edu.stanford.nlp.maxent.Feature
 
FEATURE_SEP - Static variable in class edu.stanford.nlp.trees.international.negra.NegraLabel
 
featureCountThresh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
featureCountThreshold - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
featureCountThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
featureDiffThresh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
featureFactories - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
featureFactories - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
featureFactoriesArgs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
featureFactory - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
FeatureFactory - Class in edu.stanford.nlp.parser.shiftreduce
 
FeatureFactory() - Constructor for class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
 
FeatureFactory<IN> - Class in edu.stanford.nlp.sequences
This is the abstract class that all feature factories must subclass.
FeatureFactory() - Constructor for class edu.stanford.nlp.sequences.FeatureFactory
 
featureFactory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
featureFactoryArgs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
featureFactoryClass - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceOptions
 
featureFrequencyCutoff - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
How many times a feature must be seen when training.
featureGrouping - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
featureIndex - Variable in class edu.stanford.nlp.classify.GeneralDataset
 
featureIndex() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
featureIndex() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
featureIndex - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
FeatureKey - Class in edu.stanford.nlp.tagger.maxent
Stores a triple of an extractor ID, a feature value (derived from history) and a y (tag) value.
FeatureKey() - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureKey
 
FeatureKey(int, String, String) - Constructor for class edu.stanford.nlp.tagger.maxent.FeatureKey
 
featureList - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
 
features() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
Features - Class in edu.stanford.nlp.maxent
An ArrayList of Feature
Features() - Constructor for class edu.stanford.nlp.maxent.Features
 
Features(String, Experiments) - Constructor for class edu.stanford.nlp.maxent.Features
reads in the features from a file, having already read the experiments
Features() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.Features
 
FeaturesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FeaturesAnnotation
 
featuresC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
 
featuresC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.wordseg.ChineseSegmenterFeatureFactory
 
featuresC(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory
 
featuresCnC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCnC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.wordseg.ChineseSegmenterFeatureFactory
 
featuresCnC(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory
For a CRF, this shouldn't be necessary, since the features duplicate those from CpC, but Huihsin found some valuable, presumably becuase it modified the regularization a bit.
featuresCp2C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCp2C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
 
featuresCp3C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCp3C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
 
featuresCp4C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCp5C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
 
featuresCpC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.wordseg.ChineseSegmenterFeatureFactory
 
featuresCpC(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory
 
featuresCpCnC(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpCp2C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpCp2C(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory
Second order clique features
featuresCpCp2Cp3C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featuresCpCp2Cp3C(PaddedList<? extends CoreLabel>, int) - Method in class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory
 
featuresCpCp2Cp3Cp4C(PaddedList<IN>, int) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
featureSelectionNumFeaturesRatio - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
featureSimilarityThreshold - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
Additional features, may not necessarily be used in the public release
featureStr() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
featureThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
featureVal - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
featureValue(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
 
featureWeightThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
Featurizable<F> - Interface in edu.stanford.nlp.ling
Interface for Objects that can be described by their features.
featurize(State, List<String>) - Method in class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
 
featurize(State, List<String>) - Method in class edu.stanford.nlp.parser.shiftreduce.CombinationFeatureFactory
 
featurize(State, List<String>) - Method in class edu.stanford.nlp.parser.shiftreduce.DistsimFeatureFactory
 
featurize(State) - Method in class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
 
featurize(State, List<String>) - Method in class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
 
FEBRUARY - Static variable in class edu.stanford.nlp.time.SUTime
 
FEMALE_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
FemaleGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FemaleGazAnnotation
 
femaleNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
femalePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
femaleWords - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
FieldExpression(Expression, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.FieldExpression
 
FieldExpression(Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.FieldExpression
 
FieldValue(Env, Map<String, Expression>) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
file - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
file(String) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Output to a file.
file(File) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Output to a file.
fileFilter - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
FileHandler(String) - Constructor for class edu.stanford.nlp.util.logging.Redwood.FileHandler
 
fileIndex - Variable in class edu.stanford.nlp.dcoref.ACEMentionExtractor
 
fileList - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
 
filename() - Method in interface edu.stanford.nlp.tagger.io.TaggedFileReader
 
filename() - Method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
filename() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
 
filename() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
 
filename() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
 
fileNameClean(String) - Static method in class edu.stanford.nlp.util.StringUtils
Returns a "clean" version of the given filename in which spaces have been converted to dashes and all non-alphanumeric chars are underscores.
FilenameMouseInputAdapter(JTextField) - Constructor for class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel.FilenameMouseInputAdapter
 
fileNamesUsedToComputeRawFreq - Static variable in class edu.stanford.nlp.patterns.surface.Data
 
FilePanel - Class in edu.stanford.nlp.trees.tregex.gui
Class representing the hierarchy of files in which trees may be searched and allowing users to select whether to search a particular file or not
FilePathProcessor - Class in edu.stanford.nlp.util
The FilePathProcessor traverses a directory structure and applies the processFile method to files meeting some criterion.
filePattern - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
FileProcessor - Interface in edu.stanford.nlp.util
Interface for a Visitor pattern for Files.
files - Variable in class edu.stanford.nlp.dcoref.ACEMentionExtractor
 
FileSequentialCollection - Class in edu.stanford.nlp.io
A FileSequentialCollection maintains a read-only collection of Files.
FileSequentialCollection() - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
Creates an empty FileSequentialCollection, with no Files in it.
FileSequentialCollection(Collection<?>) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
Creates a FileSequentialCollection from the passed in Collection.
FileSequentialCollection(File, String, boolean) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
Creates a FileSequentialCollection from the passed in File path.
FileSequentialCollection(Collection<?>, String, boolean) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
Creates a FileSequentialCollection from the passed in Collection.
FileSequentialCollection(Collection<?>, FileFilter) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
Creates a FileSequentialCollection from the passed in Collection.
FileSequentialCollection(String, FileFilter) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
 
FileSequentialCollection(Collection<?>, FileFilter, boolean) - Constructor for class edu.stanford.nlp.io.FileSequentialCollection
Creates a FileSequentialCollection from the passed in Collection.
FileTreeModel - Class in edu.stanford.nlp.trees.tregex.gui
Component for managing the data for files containing trees.
FileTreeModel(FileTreeNode) - Constructor for class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
FileTreeNode - Class in edu.stanford.nlp.trees.tregex.gui
Represents a node in a JTree that holds a file and displays the short name of the file in the JTree.
FileTreeNode() - Constructor for class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
 
FileTreeNode(File, FileTreeNode) - Constructor for class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
 
FileTreeNode.FileTreeNodeListener - Interface in edu.stanford.nlp.trees.tregex.gui
 
fill(double[][], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
fill(double[][][], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
fill(double[][][][], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
fill(boolean[][], boolean) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
fill(boolean[][][], boolean) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
fill(boolean[][][][], boolean) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
fillerWords - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
fillInParseAnnotations(boolean, boolean, GrammaticalStructureFactory, CoreMap, Tree) - Static method in class edu.stanford.nlp.pipeline.ParserAnnotatorUtils
Thread safety note: nothing special is done to ensure the thread safety of the GrammaticalStructureFactory.
fillOptions(Class<?>[], Properties) - Static method in class edu.stanford.nlp.util.Execution
 
fillOptions(Class<?>, Properties) - Static method in class edu.stanford.nlp.util.Execution
 
fillOptions(Properties, String[]) - Static method in class edu.stanford.nlp.util.Execution
 
fillOptions(Class<?>[], Properties, String[]) - Static method in class edu.stanford.nlp.util.Execution
 
fillOptions(Properties) - Static method in class edu.stanford.nlp.util.Execution
 
fillOptions(Class<?>[], String[]) - Static method in class edu.stanford.nlp.util.Execution
 
fillOptions(Class<?>, String[]) - Static method in class edu.stanford.nlp.util.Execution
 
fillOptions(Object[], Properties) - Static method in class edu.stanford.nlp.util.Execution
 
fillOptions(Object, Properties) - Static method in class edu.stanford.nlp.util.Execution
 
fillOptions(Object[], String[]) - Static method in class edu.stanford.nlp.util.Execution
 
fillOptions(Object, String[]) - Static method in class edu.stanford.nlp.util.Execution
 
fillOptionsImpl(Object[], Class<?>[], Properties, boolean) - Static method in class edu.stanford.nlp.util.Execution
 
fillOptionsImpl(Object[], Class<?>[], Properties) - Static method in class edu.stanford.nlp.util.Execution
 
filter(T[], Predicate<? super T>) - Static method in class edu.stanford.nlp.util.ArrayUtils
Returns an array with only the elements accepted by filter
Implementation notes: creates two arrays, calls filter once for each element, does not alter original
filter(E[], Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters
Applies the given filter to each of the given elems, and returns the list of elems that were accepted.
filter(Iterable<T>, Function<T, Boolean>) - Static method in class edu.stanford.nlp.util.Iterables
Filtered view of the given iterable.
FILTER_RULE_TYPE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
filterAsList(Collection<? extends T>, Predicate<? super T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Filters the objects in the collection according to the given Filter and returns a list
FilterConfusingRules - Class in edu.stanford.nlp.parser.dvparser
This filter rejects Trees which have unary or binary productions which the given parser does not contain.
FilterConfusingRules(LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.dvparser.FilterConfusingRules
 
FilteredEval - Class in edu.stanford.nlp.parser.metrics
An AbstractEval which doesn't just evaluate all constituents, but lets you provide a filter to only pay attention to constituents formed from certain subtrees.
FilteredEval(String, boolean, Predicate<Tree>) - Constructor for class edu.stanford.nlp.parser.metrics.FilteredEval
 
FilteredIterator<T> - Class in edu.stanford.nlp.util
Iterator that suppresses items in another iterator based on a filter function.
FilteredIterator(Iterator<T>, Predicate<T>) - Constructor for class edu.stanford.nlp.util.FilteredIterator
 
FilterExtractRule(Predicate<I>, SequenceMatchRules.ExtractRule<I, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.FilterExtractRule
 
FilterExtractRule(Predicate<I>, SequenceMatchRules.ExtractRule<I, O>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.FilterExtractRule
 
filterInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
FilteringTreebank - Class in edu.stanford.nlp.trees
This class wraps another Treebank, and will vend trees that passed a Filter.
FilteringTreebank(Treebank, Predicate<Tree>) - Constructor for class edu.stanford.nlp.trees.FilteringTreebank
 
FilteringTreeReader - Class in edu.stanford.nlp.trees
A FilteringTreeReader filters the output of another TreeReader.
FilteringTreeReader(TreeReader, Predicate<Tree>) - Constructor for class edu.stanford.nlp.trees.FilteringTreeReader
 
filterMentionsWithSingletonClusters(Document, List<List<Mention>>) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
Remove singleton clusters
filterNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
filterNaNAndInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
filterPredictedMentions(List<List<Mention>>, Annotation, Dictionaries) - Method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
When mention boundaries are given
filterRule - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
 
filterRulesForBatch(Collection<Tree>) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
Filters the transform and score rules so that we only have the ones which appear in the trees given
filterRulesForBatch(Map<Tree, byte[]>) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
filterRulesForBatch(TwoDimensionalSet<String, String>, Set<String>, Set<String>) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
Filters - Class in edu.stanford.nlp.util
Some simple implementations of the Predicate interface.
Filters.ConjFilter<T> - Class in edu.stanford.nlp.util
Conjunction of a list of filters.
Filters.DisjFilter<T> - Class in edu.stanford.nlp.util
Disjunction of a list of filters.
Filters.RandomFilter<E> - Class in edu.stanford.nlp.util
A filter that accepts a random fraction of the input it sees.
filterUnknownRoots(List<Tree>) - Static method in class edu.stanford.nlp.sentiment.SentimentUtils
 
filterUnrelatedRelations(Collection<RelationMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
finalize() - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
 
finalize(CoreMap) - Method in interface edu.stanford.nlp.time.TimeExpressionExtractor
Indicates that all annotations on the document has been completed Performs cleanup on the document annotation
finalize(CoreMap) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
 
finalizeAnnotation(Annotation) - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
 
finalizeClassification(CoreMap) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Classification is finished for the document.
finalizeClassification(CoreMap) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
finalizeCounts() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
 
finalizeCounts() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
finalizeTraining() - Method in class edu.stanford.nlp.parser.nndep.Classifier
Finish training this classifier; prepare for a shutdown.
FinalizeTransition - Class in edu.stanford.nlp.parser.shiftreduce
Transition that finishes the processing of a state
FinalizeTransition(Set<String>) - Constructor for class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
 
finalTags - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
find(List<? extends T>, SequenceMatcher.FindType) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
Given a sequence, applies our patterns over the sequence and returns all matches, depending on the findType.
find(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
Reset the matcher and then searches for pattern at the specified start index
find(int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
find() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
Searches for the next occurrence of the pattern
find() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Find the next match of the pattern in the graph
find() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Find the next match of the pattern on the tree
find(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
find(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Say whether this regular expression can be found inside this String.
findAllMatches(K...) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a sequence to search through (e.g.
findAllMatches(List<K>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a sequence to search through (e.g.
findAllMatches(List<K>, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a sequence to search through (e.g.
findAllMatches(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
Given a segment of text, returns list of spans (PhraseMatch) that corresponds to a phrase in the table
findAllMatches(PhraseTable.WordList) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
Given a list of tokens, returns list of spans (PhraseMatch) that corresponds to a phrase in the table
findAllMatches(List<PhraseTable.Phrase>, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
Given a segment of text, returns list of spans (PhraseMatch) that corresponds to a phrase in the table (filtered by the list of acceptable phrase)
findAllMatches(List<PhraseTable.Phrase>, PhraseTable.WordList) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
Given a list of tokens, returns list of spans (PhraseMatch) that corresponds to a phrase in the table (filtered by the list of acceptable phrase)
findAllMatches(PhraseTable.WordList, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
findAllMatches(List<PhraseTable.Phrase>, PhraseTable.WordList, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
findAllNonOverlapping() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
Applies the matcher and returns all non overlapping matches
findAllNonOverlappingMatchesPerPattern(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
Given a sequence, applies each of our patterns over the sequence and returns all non overlapping matches for each of the patterns.
findAllRelns(GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Given a semantic graph, and a target relation, returns a list of all relations (edges) matching.
findAndAnnotateNumericExpressions(CoreMap) - Static method in class edu.stanford.nlp.ie.NumberNormalizer
 
findAndAnnotateNumericExpressionsWithRanges(CoreMap) - Static method in class edu.stanford.nlp.ie.NumberNormalizer
 
findAndMergeNumbers(CoreMap) - Static method in class edu.stanford.nlp.ie.NumberNormalizer
Takes annotation and identifies numbers in the annotation Returns a list of tokens (as CoreMaps) with numbers merged As by product, also marks each individual token with the TokenBeginAnnotation and TokenEndAnnotation - this is mainly to make it easier to the rest of the code to figure out what the token offsets are.
findAt(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Similar to find(), but matches only if node is the root of the match.
findBestUsingAnnealing(SequenceModel, CoolingSchedule) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
findBestUsingAnnealing(SequenceModel, CoolingSchedule, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
findBestUsingSampling(SequenceModel, int, int, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Finds the best sequence by collecting numSamples samples, scoring them, and then choosing the highest scoring sample.
findChunkEnd(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
findChunkStart(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
findClosestMatches(K[], int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a target sequence, returns the n closes matches (or sequences of matches) from the trie.
findClosestMatches(K[], int, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a target sequence, returns the n closes matches (or sequences of matches) from the trie.
findClosestMatches(K[], MatchCostFunction<K, V>, Double, int, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a target sequence, returns the n closes matches (or sequences of matches) from the trie based on the cost function (lower cost mean better match).
findClosestMatches(List<K>, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a target sequence, returns the n closes matches (or sequences of matches) from the trie.
findClosestMatches(List<K>, int, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a target sequence, returns the n closes matches (or sequences of matches) from the trie.
findClosestMatches(List<K>, MatchCostFunction<K, V>, double, int, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a target sequence, returns the n closes matches (or sequences of matches) from the trie based on the cost function (lower cost mean better match).
findEmergencyTransition(State, List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.shiftreduce.BaseModel
Returns a transition which might not even be part of the model, but will hopefully allow progress in an otherwise stuck parse TODO: perhaps we want to create an EmergencyTransition class which indicates that something has gone wrong
findExactMatch(Tree, int, int) - Static method in class edu.stanford.nlp.dcoref.MentionExtractor
Finds the tree the matches this span exactly
findHead(CoreMap, List<Mention>) - Method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
 
findHighestScoringTransitions(State, boolean, int, List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.shiftreduce.BaseModel
 
findHighestScoringTransitions(State, boolean, int, List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.shiftreduce.PerceptronModel
 
findKnownStates(List<Tree>) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
findKnownStates(Tree, Set<String>) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
findMarkedHead(Tree) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
A way for subclasses for corpora with explicit head markings to return the explicitly marked head
findMarkedHead(Tree) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
Predicatively marked elements in a sentence should be noted as heads
findMarkedHead(Tree[]) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
 
findMarkedHead(Tree) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZHeadFinder
 
findMatches(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
findMatches(PhraseTable.WordList) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
findMatches(PhraseTable.WordList, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
findMatches(String, int, int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
findMatches(Collection<PhraseTable.Phrase>, PhraseTable.WordList, int, int, boolean, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
findMatchesNormalized(Collection<PhraseTable.Phrase>, PhraseTable.WordList, int, int, boolean, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
findMatchStart(int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
findMatchStartBacktracking(int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
findMatchStartNoBacktracking(int, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
findNextMatchingNode() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Find the next match of the pattern in the graph such that the matching node (that is, the node matching the root node of the pattern) differs from the previous matching node.
findNextMatchingNode() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Find the next match of the pattern on the tree such that the matching node (that is, the tree node matching the root node of the pattern) differs from the previous matching node.
findNodePattern(Function<NodePattern<T>, OUT>) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
findNonOverlapping(K...) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a sequence to search through (e.g.
findNonOverlapping(List<K>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a sequence to search through (e.g.
findNonOverlapping(List<K>, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a sequence to search through (e.g.
findNonOverlapping(List<K>, int, int, Comparator<? super Match<K, V>>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a sequence to search through (e.g.
findNonOverlapping(List<K>, int, int, Function<? super Match<K, V>, Double>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a sequence to search through (e.g.
findNonOverlapping(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
Given a sequence, applies our patterns over the sequence and returns all non overlapping matches.
findNonOverlapping(List<? extends T>, Comparator<? super SequenceMatchResult>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
Given a sequence, applies our patterns over the sequence and returns all non overlapping matches.
findNonOverlappingMaxScore(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
Given a sequence, applies our patterns over the sequence and returns all non overlapping matches.
findNonOverlappingMaxScore(List<? extends T>, Function<? super SequenceMatchResult, Double>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
Given a sequence, applies our patterns over the sequence and returns all non overlapping matches.
findNonOverlappingPhrases(List<PhraseTable.PhraseMatch>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
findNumberRanges(CoreMap) - Static method in class edu.stanford.nlp.ie.NumberNormalizer
 
findNumbers(CoreMap) - Static method in class edu.stanford.nlp.ie.NumberNormalizer
Find and mark numbers (does not need NumberSequenceClassifier) Each token is annotated with the numeric value and type - CoreAnnotations.NumericTypeAnnotation.class: ORDINAL, UNIT (hundred, thousand,..., dozen, gross,...), NUMBER - CoreAnnotations.NumericValueAnnotation.class: Number representing the numeric value of the token ( two thousand => 2 1000 ) Tries also to separate individual numbers like four five six, while keeping numbers like four hundred and seven together Annotate tokens belonging to each composite number with - CoreAnnotations.NumericCompositeTypeAnnotation.class: ORDINAL (1st, 2nd), NUMBER (one hundred) - CoreAnnotations.NumericCompositeValueAnnotation.class: Number representing the composite numeric value ( two thousand => 2000 2000 ) Also returns list of CoreMap representing the identified numbers The function is overly aggressive in marking possible numbers - should either do more checks or use in conjunction with NumberSequenceClassifier to avoid marking certain tokens (like second/NN) as numbers...
findOffsets(Pattern, String) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
Finds pattern in text and returns offsets
findOffsets(Pattern, String, int, int) - Static method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
Finds pattern in text span from character start to end (exclusive) and returns offsets
findSpace(String, int) - Static method in class edu.stanford.nlp.util.XMLUtils
return either the first space or the first nbsp
findSyntacticHead(Mention, Tree, List<CoreLabel>) - Method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
 
findSyntacticHead(EntityMention, Tree, List<CoreLabel>) - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
Finds the syntactic head of the given entity mention.
findTargetStringOffsets(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
Finds target string in text and returns offsets (matches based on set matchType)
findTargetStringOffsets(String, String, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
Finds target string in text span from character start to end (exclusive) and returns offsets (matches based on set matchType)
findTargetStringOffsetsExct(String, String, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
Finds target string in text span from character start to end (exclusive) and returns offsets (does EXCT string matching)
findTargetStringOffsetsRegex(String, String, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
Finds target string in text and returns offsets using regular expressions (matches based on set matchType)
findTwinMentions(boolean) - Method in class edu.stanford.nlp.dcoref.Document
Mark twin mentions in gold and predicted mentions
finishThread() - Static method in class edu.stanford.nlp.util.logging.Redwood
Signal that this thread will not log any more messages in the multithreaded environment
finishThread() - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
finishTraining() - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
 
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModelTrainer
 
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModelTrainer
 
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModelTrainer
 
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModelTrainer
 
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModelTrainer
 
finishTraining() - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Done collecting statistics for the lexicon.
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.SpanishUnknownWordModelTrainer
 
finishTraining() - Method in class edu.stanford.nlp.parser.lexparser.UnknownGTTrainer
 
finishTraining() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
Returns the trained UWM.
finishTraining() - Method in interface edu.stanford.nlp.process.WordSegmenter
 
finishUpdating() - Method in class edu.stanford.nlp.patterns.surface.InvertedIndexByTokens
 
finishUpdating() - Method in class edu.stanford.nlp.patterns.surface.SentenceIndex
 
finiteDifferenceStepSize - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
finiteDifferenceStepSize - this is the fixed step size for the finite difference approximation.
fireTreeStructureChanged(TreePath) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
FIRST - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
first - Variable in class edu.stanford.nlp.util.Pair
Direct access is deprecated.
first() - Method in class edu.stanford.nlp.util.Pair
 
first - Variable in class edu.stanford.nlp.util.Quadruple
 
first() - Method in class edu.stanford.nlp.util.Quadruple
 
first - Variable in class edu.stanford.nlp.util.Triple
 
first() - Method in class edu.stanford.nlp.util.Triple
 
FIRST_NON_NIL - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
firstChild() - Method in class edu.stanford.nlp.trees.Tree
Returns the first child of a tree, or null if none.
FirstChildAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FirstChildAnnotation
 
firstKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
firstKeySet() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
firstKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
firstKeySet() - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
firstKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
 
firstKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
firstKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalSet
 
firstMention - Variable in class edu.stanford.nlp.dcoref.CorefCluster
The first mention in this cluster
firstPersonPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
fixChunkSentenceBoundaries(CoreMap, List<IntPair>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Give an list of character offsets for chunk, fix sentence splitting so sentences doesn't break the chunks
fixChunkSentenceBoundaries(CoreMap, List<IntPair>, boolean, boolean, boolean) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Give an list of character offsets for chunk, fix sentence splitting so sentences doesn't break the chunks
fixChunkTokenBoundaries(CoreMap, List<IntPair>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Give an list of character offsets for chunk, fix tokenization so tokenization occurs at boundary of chunks
FixedPrioritiesPriorityQueue<E> - Class in edu.stanford.nlp.util
A priority queue based on a binary heap.
FixedPrioritiesPriorityQueue() - Constructor for class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
 
FixedPrioritiesPriorityQueue(int) - Constructor for class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
 
fixQuotes - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
 
fixTokenOffsets(CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Fix token offsets of sentences to match those in the document (assumes tokens are shared) sentence token indices may not match document token list if certain html elements are ignored
fixupNerBeforeNormalization(List<E>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
 
flags - Variable in class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve
 
flags - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
flags - Variable in class edu.stanford.nlp.sequences.FeatureFactory
 
flagsToString() - Method in class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve
 
flatMap(Iterable<? extends Iterable<T>>, Function<? super T, U>) - Static method in class edu.stanford.nlp.util.Iterables
Chains together an Iterable of Iterables after transforming each one.
flatten(List<CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
 
flatten() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
flatten() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
flatten() - Method in class edu.stanford.nlp.trees.Tree
Return a flattened version of a tree.
flatten(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Return a flattened version of a tree.
flatten(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
flatten(Collection<List<T>>) - Static method in class edu.stanford.nlp.util.CollectionUtils
combines all the lists in a collection to a single list
flattenTree(Tree) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
Returns the string associated with the input parse tree.
flexiTag - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
flexiTag - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
 
floatArrayToDoubleArray(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
floatArrayToDoubleArray(float[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
floatArrToByteArr(float[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
floatArrToByteArr(float[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
floatArrToByteArr(byte[], int, float[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
FloatFactorTable - Class in edu.stanford.nlp.ie.crf
Stores a factor table as a one dimensional array of floats.
FloatFactorTable(int, int) - Constructor for class edu.stanford.nlp.ie.crf.FloatFactorTable
 
FloatFunction - Interface in edu.stanford.nlp.optimization
An interface for double-valued functions over double arrays.
floatValue() - Method in class edu.stanford.nlp.math.DoubleAD
 
floatValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
floatValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
floatValue() - Method in class edu.stanford.nlp.util.MutableLong
 
floodTags - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
flush() - Method in class edu.stanford.nlp.io.BZip2PipedOutputStream
 
flush() - Method in class edu.stanford.nlp.io.NullOutputStream
 
flush() - Method in class edu.stanford.nlp.io.TeeStream
 
flush() - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler
This is a no-op since Redwood doesn't have this.
flush() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
flush() - Method in class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
fmeasure(int, int) - Method in class edu.stanford.nlp.classify.PRCurve
the f-measure if we just guess as negative the first numleft and guess as positive the last numright
fmeasure(int) - Method in class edu.stanford.nlp.classify.PRCurve
what is the f-measure at this recall if we look at the score as the probability of class 1 given x as if coming from logistic regression same as logPrecision but calculating f-measure
fnCount - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
Count of false negatives.
fnCount - Variable in class edu.stanford.nlp.stats.PrecisionRecallStats
Count of false negatives.
fnum(int, int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
fnumArr - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
This contains the number of features active for each pair (x,y)
focusOnList() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
 
FontDetector - Class in edu.stanford.nlp.swing
Detects which Fonts can be used to display unicode characters in a given language.
FORCE - Static variable in class edu.stanford.nlp.util.logging.Redwood
 
force() - Method in class edu.stanford.nlp.util.logging.Redwood.Record
Returns whether this log message wants to be forced to be printed
FORCE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
forceCNF - Variable in class edu.stanford.nlp.parser.lexparser.Options
Forces parsing with strictly CNF grammar -- unary chains are converted to XP&YP symbols and back
forceDate - Variable in class edu.stanford.nlp.time.JodaTimeUtils.ConversionOptions
If true, give a "best guess" of the right date; if false, backoff to giving a duration for malformed dates.
ForcedSentenceEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceEndAnnotation
 
ForcedSentenceUntilEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceUntilEndAnnotation
 
forceGenerationOfIndexSpans - Variable in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
If true, it regenerates the index spans for all tree nodes (useful for KBP)
forceGenerationOfIndexSpans - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
forceParseSentences - Variable in class edu.stanford.nlp.ie.machinereading.MachineReading
 
forceRetraining - Variable in class edu.stanford.nlp.ie.machinereading.MachineReading
 
forceTagBeginnings - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
 
forceTags - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Parse using only tags given from correct answer or the POS tagger
forceTrack(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood
Helper method to start a track on the FORCE channel.
forceTrack() - Static method in class edu.stanford.nlp.util.logging.Redwood
Helper method to start an anonymous track on the FORCE channel.
forceTrack(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
forceUnits - Variable in class edu.stanford.nlp.time.JodaTimeUtils.ConversionOptions
Force particular units -- e.g., force 20Y to be 20Y (20 years) rather than 2E (2 decades)
FORMAT - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
format - Variable in class edu.stanford.nlp.util.ConfusionMatrix
 
format(LogRecord) - Method in class edu.stanford.nlp.util.logging.NewlineLogFormatter
 
format(String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
format(Locale, String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
FORMAT_FULL - Static variable in class edu.stanford.nlp.time.SUTime
 
FORMAT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
FORMAT_ISO - Static variable in class edu.stanford.nlp.time.SUTime
 
FORMAT_PAD_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
 
FORMAT_TIMEX3_VALUE - Static variable in class edu.stanford.nlp.time.SUTime
 
formatChannel(StringBuilder, String, Object) - Method in class edu.stanford.nlp.util.logging.OutputHandler
Format a channel
formatChannel(StringBuilder, String, Object) - Method in class edu.stanford.nlp.util.logging.RedirectOutputHandler
Ensure that we don't print duplicate channels when adapting to another logging framework.
formatPennTree(Tree) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
For printing tree in a better format
formatSemanticGraph(SemanticGraph) - Method in class edu.stanford.nlp.semgraph.SemanticGraphFormatter
Returns a pretty-printed string representation of the given semantic graph, on one or more lines.
formatTimeDifference(long, StringBuilder) - Static method in class edu.stanford.nlp.util.logging.Redwood
Utility method for formatting a time difference (maybe this should go to a util class?)
formatTimeDifference(long) - Static method in class edu.stanford.nlp.util.logging.Redwood
 
formResult() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
formResult() - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammarExtractor
 
formResult() - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
 
FORTNIGHT - Static variable in class edu.stanford.nlp.time.SUTime
 
forwardPropagateTree(Tree) - Method in class edu.stanford.nlp.sentiment.SentimentCostAndGradient
This is the method to call for assigning labels and node vectors to the Tree.
foundCorrect - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
foundGuessed - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
fourth - Variable in class edu.stanford.nlp.util.Quadruple
 
fourth() - Method in class edu.stanford.nlp.util.Quadruple
 
fpCount - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
Count of false positives.
fpCount - Variable in class edu.stanford.nlp.stats.PrecisionRecallStats
Count of false positives.
fractionBeforeUnseenCounting - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Start to aggregate signature-tag pairs only for words unseen in the first this fraction of the data.
FragDiscardingPennTreeReader - Class in edu.stanford.nlp.trees.international.pennchinese
 
FragDiscardingPennTreeReader(Reader, TreeFactory, TreeNormalizer, Tokenizer<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.FragDiscardingPennTreeReader
 
free() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
freeDependencies - Variable in class edu.stanford.nlp.parser.lexparser.Options
if true, any child can be the head (seems rather bad!)
freeMem - Variable in class edu.stanford.nlp.util.MemoryMonitor
 
FrenchAOverAFilter() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer.FrenchAOverAFilter
 
FrenchHeadFinder - Class in edu.stanford.nlp.trees.international.french
TODO wsg2010: Compare these head finding rules to those found in Arun Abishek's master's thesis.
FrenchHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchHeadFinder
 
FrenchHeadFinder(FrenchTreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchHeadFinder
 
FrenchMorphoFeatureSpecification - Class in edu.stanford.nlp.international.french
If MorphoFeatureType.OTHER is active, then the "CC tagset" is produced (see Tbl.2 of (Crabbe and Candito, 2008).
FrenchMorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
 
FrenchTokenizer<T extends HasWord> - Class in edu.stanford.nlp.international.french.process
Tokenizer for raw French text.
FrenchTokenizer(Reader, LexedTokenFactory<T>, Properties, boolean) - Constructor for class edu.stanford.nlp.international.french.process.FrenchTokenizer
Constructor.
FrenchTokenizer.FrenchTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.international.french.process
A factory for French tokenizer instances.
FrenchTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.french
Language pack for the French treebank.
FrenchTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
 
FrenchTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
TreebankLangParserParams for the French Treebank corpus.
FrenchTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
FrenchTreeNormalizer - Class in edu.stanford.nlp.trees.international.french
Prepares French Treebank trees for parsing.
FrenchTreeNormalizer(boolean) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
 
FrenchTreeNormalizer.FrenchAOverAFilter - Class in edu.stanford.nlp.trees.international.french
 
FrenchTreeReaderFactory - Class in edu.stanford.nlp.trees.international.french
A class for reading French Treebank trees that have been converted from XML to PTB format.
FrenchTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.french.FrenchTreeReaderFactory
 
FrenchUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser
 
FrenchUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>) - Constructor for class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel
 
FrenchUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel
This constructor creates an UWM with empty data structures.
FrenchUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
 
FrenchUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModelTrainer
 
FrenchUnknownWordSignatures - Class in edu.stanford.nlp.international.french
Contains patterns for matching certain word types in French, such as common suffices for nouns, verbs, adjectives and adverbs.
FrenchXMLTreeReader - Class in edu.stanford.nlp.trees.international.french
A reader for XML format French Treebank files.
FrenchXMLTreeReader(Reader, boolean) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
Read parse trees from a Reader.
FrenchXMLTreeReader(Reader, TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
Read parse trees from a Reader.
FrenchXMLTreeReaderFactory - Class in edu.stanford.nlp.trees.international.french
A class for reading French Treebank trees that have been converted from XML to PTB format.
FrenchXMLTreeReaderFactory(boolean) - Constructor for class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReaderFactory
 
FreqAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FreqAnnotation
 
FRIDAY - Static variable in class edu.stanford.nlp.time.SUTime
 
fromDateString(String) - Static method in class edu.stanford.nlp.ie.pascal.ISODateInstance
Takes a string already formatted in ISODateInstance format (such as one previously written out using toString) and creates a new date instance from it
FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.EnglishGrammaticalStructure.FromDependenciesFactory
 
FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure.FromDependenciesFactory
 
fromHTML(String) - Static method in class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor
Strip off HTML tags before processing.
fromJavaUtilLogging(Logger) - Static method in class edu.stanford.nlp.util.logging.RedirectOutputHandler
 
fromMap(Map<E, N>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a counter view of the given map.
fromMap(Map<E, N>, Class<N>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a counter view of the given map.
fromMap(String, Map<String, String>) - Static method in class edu.stanford.nlp.time.Timex
 
fromPlainText(String) - Static method in class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor
 
fromPlainText(String, boolean) - Static method in class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor
 
fromShortName(String) - Static method in enum edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter.OutputStyle
Convert a String expressing an output format to its internal coding as an OutputStyle.
fromString(String) - Static method in class edu.stanford.nlp.stats.ClassicCounter
Converts from the format printed by the toString method back into a Counter<String>.
fromString(String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
 
fromStringReps(List<String>, List<String>, List<String>) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
Create a grammatical structure from its string representation.
fromTagString(String) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
 
fromTagString(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
Assumes that the tag string has been formed using a call to getTag().
fromValues(int, int) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
Safe way to construct Spans if you're not sure which value is higher.
fromValues(Object...) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
fromXml(String) - Static method in class edu.stanford.nlp.time.Timex
 
FScore(Counter<D>, Counter<D>, double) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
FScore(double, double, double) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
fscorer - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
fSize - Variable in class edu.stanford.nlp.maxent.Problem
 
fSpec - Variable in class edu.stanford.nlp.international.morph.MorphoFeatures
 
FTB_ENCODING - Static variable in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
 
FTB_OPTIONS - Static variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer
 
ftbFactory() - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
Returns a factory for FrenchTokenizer that replicates the tokenization of Green, de Marneffe, and Manning (2011).
ftilde() - Method in class edu.stanford.nlp.maxent.Feature
 
ftilde() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
ftildeArr - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
This is an array of empirical expectations for the features
FULLNUM - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
FULLWIDTH - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
Function - Interface in edu.stanford.nlp.optimization
An interface for double-valued functions over double arrays.
function - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
 
FunctionCallExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
FunctionCallExpression(String, List<? extends Expression>, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
 
functions - Variable in class edu.stanford.nlp.maxent.Problem
These are the features.
FuzzyInterval<E extends FuzzyInterval.FuzzyComparable<E>> - Class in edu.stanford.nlp.util
A FuzzyInterval is an extension of Interval where not all endpoints are always specified or comparable.
FuzzyInterval.FuzzyComparable<T> - Interface in edu.stanford.nlp.util
Interface with a looser ordering than Comparable.

G

gain - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
gain - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
GainCompute(Feature, double) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Computes the gain from a feature.
gainSchedule(int, double) - Static method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
gainSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
Gale2007ChineseSegmenterFeatureFactory<IN extends CoreLabel> - Class in edu.stanford.nlp.wordseg
A Chinese segmenter Feature Factory for the GALE project.
Gale2007ChineseSegmenterFeatureFactory() - Constructor for class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory
 
gamma(double) - Static method in class edu.stanford.nlp.math.SloppyMath
Approximation to gamma function.
gapDecode(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
gapDecode(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
gapDecodeList(byte[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
gapDecodeList(byte[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
gapEncode(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
gapEncodeList(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
GazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazAnnotation
 
GazetteerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazetteerAnnotation
 
gazetteerLocation - Variable in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
gazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
gazFilesFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
geDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
gen - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
gen - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
gen - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
gender - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
 
gender - Variable in class edu.stanford.nlp.dcoref.Mention
 
gender(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.AnnotatorFactories
 
gender(Properties, boolean) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
Annotate for gender of tokens
GENDER_NUMBER_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
GENDER_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
GenderAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.GenderAnnotation
 
GenderAnnotator - Class in edu.stanford.nlp.pipeline
This class adds gender information (MALE / FEMALE) to tokens as GenderAnnotations.
GenderAnnotator() - Constructor for class edu.stanford.nlp.pipeline.GenderAnnotator
 
GenderAnnotator(boolean, String) - Constructor for class edu.stanford.nlp.pipeline.GenderAnnotator
 
genderNumber - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
genders - Variable in class edu.stanford.nlp.dcoref.CorefCluster
 
gendersAgree(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
 
gendersAgree(Mention, boolean) - Method in class edu.stanford.nlp.dcoref.Mention
 
GeneralDataset<L,F> - Class in edu.stanford.nlp.classify
The purpose of this interface is to unify Dataset and RVFDataset.
GeneralDataset() - Constructor for class edu.stanford.nlp.classify.GeneralDataset
 
GeneralizedCounter<K> - Class in edu.stanford.nlp.stats
A class for keeping double counts of Lists of a prespecified length.
GeneralizedCounter(int) - Constructor for class edu.stanford.nlp.stats.GeneralizedCounter
Constructs a new GeneralizedCounter of a specified depth
generalizedDependencyPath(List<SemanticGraphEdge>, IndexedWord) - Static method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
 
GeneralizedExpectationObjectiveFunction<L,F> - Class in edu.stanford.nlp.classify
Implementation of Generalized Expectation Objective function for an I.I.D.
GeneralizedExpectationObjectiveFunction(GeneralDataset<L, F>, List<? extends Datum<L, F>>, List<F>) - Constructor for class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
 
generalizeRelation(GrammaticalRelation) - Static method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
 
generateCCProcessedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Produces a CCProcessed SemanticGraph with no extras.
generateCCProcessedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Produces a CCProcessed SemanticGraph with no extras.
generateCollapsedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Produces a Collapsed SemanticGraph with no extras.
generateCollapsedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Produces a Collapsed SemanticGraph with no extras.
generateParseException() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Generate ParseException.
generateUncollapsedDependencies(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Produces an Uncollapsed SemanticGraph with no extras.
generateUncollapsedDependencies(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Produces an Uncollapsed SemanticGraph with no extras.
generator - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
generic - Variable in class edu.stanford.nlp.dcoref.Mention
 
GENERIC_TIME_WORDS - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
GenericDataSetReader - Class in edu.stanford.nlp.ie.machinereading
 
GenericDataSetReader() - Constructor for class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
 
GenericDataSetReader(StanfordCoreNLP, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
 
genericKeys - Static variable in class edu.stanford.nlp.ling.CoreLabel
 
Generics - Class in edu.stanford.nlp.util
A collection of utilities to make dealing with Java generics less painful and verbose.
GenericTimeExpressionPatterns - Class in edu.stanford.nlp.time
Provides generic mechanism to convert natural language into temporal representation by reading patterns/rules specifying mapping between text and temporal objects from file.
GenericTimeExpressionPatterns(Options) - Constructor for class edu.stanford.nlp.time.GenericTimeExpressionPatterns
 
GenericTokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GenericTokensAnnotation
 
genericValues - Static variable in class edu.stanford.nlp.ling.CoreLabel
 
GeniaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GeniaAnnotation
 
genre - Variable in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
genStop - Variable in class edu.stanford.nlp.parser.lexparser.Options
 
genTrainExamples(List<CoreMap>, List<DependencyTree>) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
 
genVals - Static variable in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
 
GermanUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser
An unknown word model for German; relies on BaseUnknownWordModel plus number matching.
GermanUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, Set<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModel
 
GermanUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModel
This constructor creates an UWM with empty data structures.
GermanUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
 
GermanUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModelTrainer
 
get(String) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
 
get(String, boolean) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
Fetches the index of this string If mCreate is true, the entry is created if it does not exist.
get(int) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
Reverse mapping from integer key to string value
get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.ling.IndexedWord
 
get(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
get(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
get(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
get(Iterable<K>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
get(K[]) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
get(Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
get(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
Returns the ith element
get(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
 
get() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleExpression
 
get() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
 
get() - Method in interface edu.stanford.nlp.ling.tokensregex.types.Value
The Java object representing the value of the expressions
get(int) - Method in class edu.stanford.nlp.maxent.Experiments
 
get(int) - Method in class edu.stanford.nlp.maxent.Features
 
get(String) - Method in class edu.stanford.nlp.neural.Embedding
 
get(String) - Method in class edu.stanford.nlp.pipeline.AnnotatorPool
Retrieve an Annotator from the pool.
get(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
get(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
Get a tree by index from the Treebank.
get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
Returns the value associated with the given key or null if none is provided.
get(Object) - Method in class edu.stanford.nlp.util.ArrayMap
 
get(Object) - Method in class edu.stanford.nlp.util.CacheMap
 
get(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
get(int) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
get(U, U) - Method in class edu.stanford.nlp.util.ConfusionMatrix
Retrieves the number of entries with this guess and gold.
get(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
get(int) - Method in class edu.stanford.nlp.util.DeltaIndex
 
get(Object) - Method in class edu.stanford.nlp.util.DeltaMap
This may cost twice what it would in the original Map.
get(int) - Method in class edu.stanford.nlp.util.HashIndex
Gets the object whose index is the integer argument.
get(int) - Method in interface edu.stanford.nlp.util.Index
Gets the object whose index is the integer argument.
get(int) - Method in class edu.stanford.nlp.util.IntTuple
 
get(int) - Method in class edu.stanford.nlp.util.PaddedList
 
get(Properties, String, E, Type) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Get the value of a property and automatically cast it to a specific type.
get(K1, K2, K3) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
get(K1, K2) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
get(K1) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
get(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
 
get(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
get(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
get(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap
Returns the value associated with the given key or null if none is provided.
GET_ANNOTATION_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
GET_VALUE_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
getAccCoverage() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
getAccuracy() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
getAccuracyDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
Returns a String summarizing overall accuracy that will print nicely.
getAccuracyInfo() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
Return overall per token accuracy
getAction() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
getActiveTreebanks() - Method in class edu.stanford.nlp.trees.tregex.gui.FilePanel
Returns all treebanks corresponding to the files stored in the panel that are selected
getAdaptationPrior(double[], LogPrior) - Static method in class edu.stanford.nlp.classify.LogPrior
 
getAggregator(Map<Class, CoreMapAttributeAggregator>) - Static method in class edu.stanford.nlp.pipeline.CoreMapAggregator
 
getAggregator(Map<Class, CoreMapAttributeAggregator>, Class) - Static method in class edu.stanford.nlp.pipeline.CoreMapAggregator
 
getAggregator(String) - Static method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
getAlignments() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
 
getAll(Map<T, V>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Get all values corresponding to the indices (if they exist in the map).
getAll(Map<T, V>, Collection<T>) - Static method in class edu.stanford.nlp.util.Maps
get all values corresponding to the indices (if they exist in the map)
getAllEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getAllEdges() - Method in interface edu.stanford.nlp.graph.Graph
 
getAllEdges(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getAllEntityMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getAllEventMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getAllFiles(String) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
getAllHighestScoringTreesTest(List<Tree>) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
 
getAllHolidays(Holidays, Set<Holiday>) - Static method in class edu.stanford.nlp.time.JollyDayHolidays
 
getAllHolidays(Configuration, Set<Holiday>) - Static method in class edu.stanford.nlp.time.JollyDayHolidays
 
getAllHolidays(Configuration) - Static method in class edu.stanford.nlp.time.JollyDayHolidays
 
getAllHolidaysCVMap(Set<Holiday>) - Method in class edu.stanford.nlp.time.JollyDayHolidays
 
getAllHolidaysCVMap(Configuration) - Method in class edu.stanford.nlp.time.JollyDayHolidays
 
getAllHolidaysMap(Set<Holiday>) - Method in class edu.stanford.nlp.time.JollyDayHolidays
 
getAllHolidaysMap(Configuration) - Method in class edu.stanford.nlp.time.JollyDayHolidays
 
getAllNodesByWordPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns all nodes of type IndexedWord in this SemanticGraph having the given word or regex, or returns empty list if no such found.
getAllPatterns(Map<String, List<CoreLabel>>, Properties, ConstantsAndVariables.PatternForEachTokenWay) - Method in class edu.stanford.nlp.patterns.surface.CreatePatterns
creates all patterns and saves them in the correct PatternsForEachToken* class appropriately
getAllRelationMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getAllRelations(RelationMentionFactory, CoreMap, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
Get list of all relations and non-relations between EntityMentions in this sentence Use with care.
getAllTranslations(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
 
getAllUnrelatedRelations(RelationMentionFactory, CoreMap, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
getAllVertices() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getAllVertices() - Method in interface edu.stanford.nlp.graph.Graph
 
getAlternateForms() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
 
getAltTag() - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
An alternate tag form than the one produced by getTag().
getAmbClass(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getAnchor() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
 
getAnchor() - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
getAnnotatedBinaryTreebankFromTreebank(Treebank, Treebank, Treebank, Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
getAnnotatedBinaryTreebankFromTreebank(Treebank, Treebank, Treebank, Options) - Static method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
 
getAnnotatedChunk(List<CoreLabel>, int, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Create a new chunk Annotation with basic chunk information CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk TokensAnnotation - List of tokens in this chunk TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens) tokenStartIndex + totalTokenOffset TokenEndAnnotation - Index of last token in chunk (index in original list of tokens) tokenEndIndex + totalTokenOffset
getAnnotatedChunk(List<CoreLabel>, int, int, int, Class, Class, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Create a new chunk Annotation with basic chunk information CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk TokensAnnotation - List of tokens in this chunk TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens) tokenStartIndex + totalTokenOffset TokenEndAnnotation - Index of last token in chunk (index in original list of tokens) tokenEndIndex + totalTokenOffset TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
getAnnotatedChunk(CoreMap, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Create a new chunk Annotation with basic chunk information CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk TokensAnnotation - List of tokens in this chunk TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens) tokenStartIndex + annotation's TokenBeginAnnotation TokenEndAnnotation - Index of last token in chunk (index in original list of tokens) tokenEndIndex + annotation's TokenBeginAnnotation TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
getAnnotatedChunk(CoreMap, int, int, Class, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Create a new chunk Annotation with basic chunk information CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk TokensAnnotation - List of tokens in this chunk TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens) tokenStartIndex + annotation's TokenBeginAnnotation TokenEndAnnotation - Index of last token in chunk (index in original list of tokens) tokenEndIndex + annotation's TokenBeginAnnotation TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
getAnnotatedChunks(List<CoreLabel>, int, Class, Class) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
Find and annotate chunks.
getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Function<Pair<CoreLabel, CoreLabel>, Boolean>) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Class, Class) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
getAnnotatedChunks(List<CoreLabel>, int, Class, Class, Class, Class, Function<Pair<CoreLabel, CoreLabel>, Boolean>) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
Find and annotate chunks.
getAnnotatedChunksUsingSortedCharOffsets(CoreMap, List<IntPair>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
getAnnotatedChunksUsingSortedCharOffsets(CoreMap, List<IntPair>, boolean, Class, Class, boolean) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Create a list of new chunk Annotation with basic chunk information CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk TokensAnnotation - List of tokens in this chunk TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens) tokenStartIndex + annotation's TokenBeginAnnotation TokenEndAnnotation - Index of last token in chunk (index in original list of tokens) tokenEndIndex + annotation's TokenBeginAnnotation TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
getAnnotatedChunkUsingCharOffsets(CoreMap, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
getAnnotation() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
 
getAnnotation() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
getAnnotationPatterns() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
getAnnotations(StanfordCoreNLP, SentimentPipeline.Input, String, boolean) - Static method in class edu.stanford.nlp.sentiment.SentimentPipeline
Reads an annotation from the given filename using the requested input.
getAnnotationString(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
Build a string of annotations for the given tree.
getAnnotatorImplementations() - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
Get the implementation of each relevant annotator in the pipeline.
getAnswerClass() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getAnswers(List<IN>, PlainTextDocumentReaderAndWriter.OutputStyle, boolean) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
getArc(Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
Slow implementation.
getArcBySourceAndInput(Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
Can only be one because automaton is deterministic.
getArch() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getArcs() - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
getArcsByInput(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
Returns a Set of type TransducerGraph.Arc.
getArcsBySource(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
Returns a Set of type TransducerGraph.Arc.
getArcsByTarget(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
Returns a Set of type TransducerGraph.Arc.
getArcsByTargetAndInput(Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
Returns a Set of type TransducerGraph.Arc.
getArg(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
 
getArg(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
 
getArg(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
getArgNames() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
getArgs() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
 
getArgs() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
 
getArgs() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
getArrayComparator() - Static method in class edu.stanford.nlp.util.Comparators
 
getAttr(String) - Method in class edu.stanford.nlp.parser.lexparser.LatticeEdge
 
getAttribute(Element, String) - Static method in class edu.stanford.nlp.time.XMLUtils
 
getAttribute(Node, String) - Static method in class edu.stanford.nlp.time.XMLUtils
 
getAttributes() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
 
getAttributeValue(Node, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader
Fetches the value of a given attribute
getAttributeValue(Node, String) - Static method in class edu.stanford.nlp.time.XMLUtils
 
getAuxReader() - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
getb1() - Method in class edu.stanford.nlp.parser.nndep.Classifier
 
getBaseName(String) - Static method in class edu.stanford.nlp.util.StringUtils
Strip directory from filename.
getBaseName(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Strip directory and suffix from filename.
getBaseTag(int, TreebankLanguagePack) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
getBasicCategoryFunction() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's basicCategory() method.
getBasicCategoryFunction() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's basicCategory method.
getBatch(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
getBatch is used to generate the next sequence of indices to be passed to the actual function.
getBeamPrintingOption() - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
getBeamSize() - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
 
getBegin() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
 
getBegin() - Method in class edu.stanford.nlp.util.Interval
Returns the start point.
getBest() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
getBestBinarizedParse() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
getBestDependencyParse(boolean) - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
getBestDependencyParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
getBestDependencyParse(boolean) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
getBestDependencyParse(boolean) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
getBestDependencyParse(boolean) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
getBestFactoredParse() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
getBestFactoredParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
getBestFactoredParse() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
getBestFactoredParse() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
getBestParse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
 
getBestParse() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
Return the best parse of the sentence most recently parsed.
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
Return the best dependency parse for a sentence.
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
Return the best parse of the sentence most recently parsed.
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
Return the best parse of the sentence most recently parsed.
getBestParse() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
getBestParse() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
getBestParse() - Method in interface edu.stanford.nlp.parser.ViterbiParser
Returns a best parse of the last sentence on which parse was called, or null if none exists.
getBestParses() - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestParses() - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
Get a complete set of the maximally scoring parses for a sentence, rather than one chosen at random.
getBestPCFGParse() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
getBestPCFGParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
getBestPCFGParse(boolean) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
getBestPCFGParse() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
getBestPCFGParse() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
TODO: can we get away with not calling this PCFG?
getBestPCFGParses() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
getBestPCFGParses() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
getBestPCFGParses() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
getBestPCFGParses() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
TODO: if this is a beam, return all equal parses
getBestScore() - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
Gets the score (typically a log probability) of the best parse of a sentence.
getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
 
getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
getBestScore(String) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
getBestScore() - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
 
getBestScoredParse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
 
getBestTransitionSequence() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
getBiasedDataset(ObjectBank<List<IN>>, Index<String>, Index<String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
getBinaryClassification(String, String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
 
getBinaryTensor(String, String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
 
getBinaryTransform(String, String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
 
getBlock(Object) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
getBool(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Load a boolean property.
getBool(Properties, String, boolean) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Load a boolean property.
getBooleanArrayComparator() - Static method in class edu.stanford.nlp.util.Comparators
 
getBoundaryCharacter() - Static method in class edu.stanford.nlp.international.arabic.process.IOBUtils
 
getBuffer(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
Get the sentence index of the kth word on the buffer.
getBufferedFileReader(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getBufferedFileReader(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getBufferedReader(Reader) - Static method in class edu.stanford.nlp.ling.DocumentReader
Wraps the given Reader in a BufferedReader or returns it directly if it is already a BufferedReader.
getBufferedReaderFromClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getBufferedReaderFromClasspathOrFileSystem(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getBufferSize() - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getByteEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
 
getByteEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getByteOffset() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
 
getByteOffset() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getByteStart() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
 
getByteStart() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getBZip2PipedInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getBZip2PipedOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getC() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
Get the C parameter (for the slack variables) for training the SVM.
getCalibratedCliqueTree(int[][][], List<Index<CRFLabel>>, int, Index<E>, E, CliquePotentialFunction, double[][][]) - Static method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
getCalibratedCliqueTree(double[], double, int[][], int[][][], List<Index<CRFLabel>>, int, Index<E>, E) - Static method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
This function assumes a LinearCliquePotentialFunction is used for wrapping the weights
getCalibratedCliqueTree(float[][], int[][][], List<Index<CRFLabel>>, int) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
getCase() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getCategoryAndFunctionFunction() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's categoryAndFunction() method.
getCategoryAndFunctionFunction() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a Function object that maps Strings to Strings according to this TreebankLanguagePack's categoryAndFunction method.
getChainID() - Method in class edu.stanford.nlp.dcoref.CorefChain
 
getCharacter(char) - Static method in class edu.stanford.nlp.util.Characters
 
getCharacterNgrams(String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
Build a list of character-based ngrams from the given string.
getCharOffsets() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
getChars(char) - Static method in class edu.stanford.nlp.trees.international.pennchinese.RadicalMap
What are the Characters with this primary radical?
getChild(int) - Method in class edu.stanford.nlp.trees.Tree
Return the child at some daughter index.
getChild(Object, int) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
getChildByAttribute(Node, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader
Searches for children that have the given attribute
getChildByName(Node, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader
Searches (recursively) for the first child that has the given name
getChildByNameAndAttribute(Node, String, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader
Searches for children that have the given name and attribute
getChildCount(Object) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
getChildList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getChildren(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getChildren(V) - Method in interface edu.stanford.nlp.graph.Graph
for undirected graph, it is just the neighbors
getChildren() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
getChildren(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getChildren() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
 
getChildren() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
getChildrenAsList() - Method in class edu.stanford.nlp.trees.Tree
Returns a List of children for the current node.
getChildrenByName(Node, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader
Searches for all immediate children with the given name
getChildrenWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a set of all children bearing a certain grammatical relation, or an empty set if none.
getChildrenWithRelns(IndexedWord, Collection<GrammaticalRelation>) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a set of all children bearing one of a set of grammatical relations, or an empty set if none.
getChildTrie(K) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
getChildTrie(Iterable<K>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
getChildWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the first IndexedFeatureLabel bearing a certain grammatical relation, or null if none.
getChunk() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getChunker() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
 
getChunkOffsets() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
getChunkOffsetsUsingCharOffsets(List<? extends CoreMap>, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Return chunk offsets
getClass(String, Dictionary, int, TTags) - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClasses
 
getClassifier(File) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
Loads a CRF classifier from a filepath, and returns it.
getClassifier(InputStream) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
Loads a CRF classifier from an InputStream, and returns it.
getClassifier(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getClassifier(String, Properties) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getClassifier(File) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
getClassifier(String) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
getClassifier(InputStream) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
getClassifierCreator(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
getClassifierNoExceptions(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getClassifierNoExceptions(File) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
getClassifierNoExceptions(String) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
getClassifierNoExceptions(InputStream) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
getClasss() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
 
getClassWeight(int) - Method in class edu.stanford.nlp.sentiment.RNNTrainOptions
The classWeights can be passed in as a comma separated list of weights using the -classWeights flag.
getClassWForNode(Tree) - Method in class edu.stanford.nlp.sentiment.SentimentModel
 
getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
Extracts all the features from the input data at a certain index.
getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
Extracts all the features from the input data at a certain index.
getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.sequences.FeatureFactory
This method returns a Collection of the features calculated for the word at the specified position in info (the list of words) for the specified Clique.
getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.wordseg.ChineseSegmenterFeatureFactory
Extracts all the features from the input data at a certain index.
getCliqueFeatures(PaddedList<IN>, int, Clique) - Method in class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory
Extracts all the features from the input data at a certain index.
getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
 
getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
getCliquePotentialFunction(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
 
getCliquePotentialFunction(double[]) - Method in interface edu.stanford.nlp.ie.crf.HasCliquePotentialFunction
 
getCliquePotentialFunctionForTest() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getCliquePotentialFunctionForTest() - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
 
getCliques() - Method in class edu.stanford.nlp.sequences.FeatureFactory
 
getCliques(int, int) - Static method in class edu.stanford.nlp.sequences.FeatureFactory
 
getCliqueTree(Triple<int[][][], int[], double[][][]>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getCliqueTree(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getCliqueTrees(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Want to make arbitrary probability queries? Then this is the method for you.
getClosedClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getClosedTagThreshold() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getClusterID() - Method in class edu.stanford.nlp.dcoref.CorefCluster
 
getCmd() - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
 
getCmd() - Method in class edu.stanford.nlp.optimization.CmdEvaluator
 
getCmd(String) - Static method in class edu.stanford.nlp.optimization.CmdEvaluator
 
getCollectionValuedMap(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
 
getCommonAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the least common ancestor.
getCommonEngWords() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getCompatible(SUTime.PartialTime, SUTime.PartialTime) - Static method in class edu.stanford.nlp.time.SUTime.PartialTime
 
getConditionalDistribution(int[], int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
Computes the distribution over values of the element at position pos in the sequence, conditioned on the values of the elements in all other positions of the provided sequence.
getConditionalDistribution(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
getCondProbs(CRFCliqueTree, int[][][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
getConfiguration() - Method in class edu.stanford.nlp.time.JollyDayHolidays.MyXMLManager
 
getConj(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "conj" grammatical relation.
getConjs() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
getConllEvalString() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
 
getConllEvalString() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
getConllEvalString(boolean) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
getConllEvalSummary(String, String, String) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
getConnectedComponents(Graph<V, E>) - Static method in class edu.stanford.nlp.graph.ConnectedComponents
 
getConnectedComponents() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getConnectedComponents() - Method in interface edu.stanford.nlp.graph.Graph
 
getConnection() - Static method in class edu.stanford.nlp.patterns.surface.SQLConnection
 
getConstituentTreePrinter() - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
getConstrainedSet(String) - Method in class edu.stanford.nlp.ie.crf.LabelDictionary
Get the allowed label set for an observation.
getConstraints() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
getConstraints() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
 
getContent() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMentionArgument
 
getContext() - Method in class edu.stanford.nlp.dcoref.Mention
 
getContext(List<CoreLabel>, int) - Method in class edu.stanford.nlp.patterns.surface.CreatePatterns
 
getContextStr(String) - Static method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
getContextToken(CoreLabel) - Static method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
getContingency(U) - Method in class edu.stanford.nlp.util.ConfusionMatrix
Returns the contingency table for the given class label, where all other class labels are treated as negative.
getCoordination() - Method in class edu.stanford.nlp.dcoref.Mention
 
getCopy(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
getCopy() - Method in class edu.stanford.nlp.util.IntPair
 
getCopy() - Method in class edu.stanford.nlp.util.IntQuadruple
 
getCopy() - Method in class edu.stanford.nlp.util.IntTriple
 
getCopy() - Method in class edu.stanford.nlp.util.IntTuple
 
getCopy() - Method in class edu.stanford.nlp.util.IntUni
 
getCorefChainMap() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
 
getCorefClusterId() - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
 
getCorefID() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
getCorefMentions() - Method in class edu.stanford.nlp.dcoref.CorefCluster
 
getCoreKey(String) - Static method in class edu.stanford.nlp.ling.AnnotationLookup
Returns a CoreAnnotation class key for the given old-style FeatureLabel key if one exists; null otherwise.
getCoreLabel(Tree) - Static method in class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
 
getCoreLabels() - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getCorrect() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
Return overall number of correct answers
getCorrect(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
getCost() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
 
getCost(V) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
getCost() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
 
getCount(int) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
 
getCount(Object) - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns the count for this key as a double.
getCount(Object) - Method in interface edu.stanford.nlp.stats.Counter
Returns the count for this key as a double.
getCount(E) - Method in class edu.stanford.nlp.stats.Distribution
Returns the current count for the given key, which is 0 if it hasn't been seen before.
getCount(Object) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to GeneralizedCounter.getCounts(java.util.List<K>)({o}); works only for depth 1 GeneralizedCounters
getCount(K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
A convenience method equivalent to GeneralizedCounter.getCounts(java.util.List<K>)({o1,o2}); works only for depth 2 GeneralizedCounters
getCount(K, K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
A convenience method equivalent to GeneralizedCounter.getCounts(java.util.List<K>)({o1,o2,o3}); works only for depth 3 GeneralizedCounters
getCount(Object) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the current count for the given key, which is 0 if it hasn't been seen before.
getCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
getCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
getCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
getCount(String, String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getCountAsString(E) - Method in class edu.stanford.nlp.stats.IntCounter
 
getCountCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
getCounter() - Method in class edu.stanford.nlp.stats.Distribution
 
getCounter(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
getCounter(K1) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
getCounter(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
getCountIn() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountIn(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getCountPart() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountPart(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getCountRB() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountRB(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getCounts(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
returns a double[] array of length depth+1, containing the conditional counts on a depth-length list given each level of conditional distribution from 0 to depth.
getCountThat() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getCountThat(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getCurEncoding() - Static method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
getCurrentFilename() - Method in class edu.stanford.nlp.trees.DiskTreebank
Returns the absolute path of the file currently being read.
getCurrentPaths() - Method in class edu.stanford.nlp.trees.DiskTreebank
 
getCurrentTime() - Static method in class edu.stanford.nlp.time.SUTime
 
getCurWordMinFeatureThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getCustom() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
 
getData() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
 
getDataArray() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
getDataInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getDataOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getDataset(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
Build a Dataset from some data.
getDataset(Collection<List<IN>>, Index<String>, Index<String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
Build a Dataset from some data.
getDataset(ObjectBank<List<IN>>, Dataset<String, String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
Build a Dataset from some data.
getDataset(Dataset<String, String>, Index<String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
Build a Dataset from some data.
getDatasets() - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
getDate() - Method in class edu.stanford.nlp.time.Timex
Gets the Calendar matching the year, month and day of this Timex.
getDateString() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
Provided for backwards compatibility with DateInstance; returns the same thing as toString()
getDateTimeFields() - Method in class edu.stanford.nlp.time.SUTime.Duration
 
getDatum(int) - Method in class edu.stanford.nlp.classify.Dataset
 
getDatum(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
getDatum(int) - Method in class edu.stanford.nlp.classify.RVFDataset
 
getDay() - Method in class edu.stanford.nlp.time.SUTime.IsoDate
 
getDebug() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getDebugPrefix() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getDeepTrees() - Method in class edu.stanford.nlp.parser.dvparser.DVModelReranker.Query
 
getDefaultAggregator() - Static method in class edu.stanford.nlp.pipeline.CoreMapAggregator
 
getDefaultAggregators() - Static method in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
getDefaultAnnotatorPool(Properties, AnnotatorImplementations) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
Construct the default annotator pool from the passed properties, and overwriting annotations which have changed since the last
getDefaultClassifier() - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
Used to get the default supplied classifier inside the jar file.
getDefaultClassifier(Properties) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
Used to get the default supplied classifier inside the jar file.
getDefaultClassifier() - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
Used to obtain the default classifier which is stored inside a jar file.
getDefaultColor() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
getDefaultNegTag() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
getDefaultNestedResultsAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getDefaultNestedResultsAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
 
getDefaultOptions() - Method in enum edu.stanford.nlp.pipeline.TokenizerAnnotator.TokenizerType
 
getDefaultPosTag() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
getDefaultResultAnnotationExtractor(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
 
getDefaultResultAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getDefaultResultAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
 
getDefaultResultsAnnotationExtractor() - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getDefaults() - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getDefaultScore() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
Returns a default score to be used for each tag that is incompatible with the current word (e.g., the tag CC for the word "apple").
getDefaultStringMatchFlags() - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getDefaultStringPatternFlags() - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getDefaultTagSeparator() - Static method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getDefaultTextAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getDefaultTextAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
 
getDefaultTokensAggregators() - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getDefaultTokensAggregators(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
 
getDefaultTokensAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getDefaultTokensAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
 
getDefaultTokensResultAnnotationKey() - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getDefaultTokensResultAnnotationKey(Env) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
 
getDeleteTempFilesOnExitFlag() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getDemonyms(String) - Method in class edu.stanford.nlp.dcoref.Dictionaries
Returns a set of demonyms for a country (or city or region).
getDependencies(String, String) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserClient
Returns the String output of the dependencies.
getDependencyParser() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
getDependencyParser() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
getDependencyParser() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
getDependencyParser() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
getDependencyTreePrinter() - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
getDependent() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
getDependentIndex() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
getDerivative() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
getDerivatives() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
assuming we have the lambdas in the array and we need only the derivatives now.
getDerivativesExpectedValue() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
assuming we have the probConds[x][y] , compute the derivatives for the expectedValue function
getDerivativesLossDomination() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Using the arrays calculated when computing the loss, it should not be too hard to get the derivatives.
getDerivativesNeg() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
assuming we have the lambdas in the array and we need only the derivatives now.
getDescription() - Method in class edu.stanford.nlp.io.ExtensionFileFilter
Returns a description of what extension is being used (for file choosers).
getDescription() - Method in interface edu.stanford.nlp.ling.tokensregex.types.ValueFunction
Returns a string describing what this function does
getDescription() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
 
getDescription(int) - Method in class edu.stanford.nlp.stats.AccuracyStats
 
getDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
getDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
Returns a String summarizing F1 that will print nicely.
getDescription(int) - Method in interface edu.stanford.nlp.stats.Scorer
 
getDiag(String) - Static method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
getDictOddsScore(String, String) - Method in class edu.stanford.nlp.patterns.surface.PhraseScorer
 
getDiffConstituents() - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
 
getDiffDecoratedTree() - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
 
getDisplay() - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
 
getDistribution(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution
Creates a Distribution from the given counter.
getDistributionFromLogValues(Counter<E>) - Static method in class edu.stanford.nlp.stats.Distribution
Creates a Distribution from the given counter, ie makes an internal copy of the counter and divides all counts by the total count.
getDistributionFromPartiallySpecifiedCounter(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution
Assuming that c has a total count < 1, returns a new Distribution using the counts in c as probabilities.
getDistributionWithReservedMass(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Distribution
 
getDistSimWtScore(String, String) - Method in class edu.stanford.nlp.patterns.surface.PhraseScorer
 
getDocumentID() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
 
getDocumentId() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
getDomainNgramScore(String) - Method in class edu.stanford.nlp.patterns.surface.PhraseScorer
 
getdot() - Method in class edu.stanford.nlp.math.DoubleAD
 
getDouble(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Load a double property.
getDouble(Properties, String, double) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Load a double property.
getDoubleArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Loads a comma-separated list of doubles from Properties.
getDuration() - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
 
getDuration() - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
 
getDuration(ReadablePeriod) - Static method in class edu.stanford.nlp.time.SUTime.Duration
 
getDuration(Duration) - Static method in class edu.stanford.nlp.time.SUTime.Duration
 
getDuration() - Method in class edu.stanford.nlp.time.SUTime.Duration
 
getDuration() - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
 
getDuration() - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
 
getDuration() - Method in class edu.stanford.nlp.time.SUTime.InexactTime
 
getDuration() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
getDuration() - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
 
getDuration() - Method in class edu.stanford.nlp.time.SUTime.Range
 
getDuration() - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
 
getDuration() - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
 
getDuration() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getDuration() - Method in class edu.stanford.nlp.time.SUTime.Time
 
getDuration() - Method in enum edu.stanford.nlp.time.SUTime.TimeUnit
 
getDuration() - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
 
getE() - Method in class edu.stanford.nlp.parser.nndep.Classifier
 
getEdge(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getEdge(IndexedWord, IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Given a governor, dependent, and the relation between them, returns the SemanticGraphEdge object of that arc if it exists, otherwise returns null.
getEdge() - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
 
getEdges(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getEdges(V, V) - Method in interface edu.stanford.nlp.graph.Graph
 
getEdgesOverSpan(int, int) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
 
getEditDistanceFromEng(String, int) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getEditDistanceFromEnglishWords() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getEditDistanceFromEnglishWordsMatches() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getEditDistanceFromOtherSemanticClasses(String, int) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getEditDistanceFromThisClass(String, String, int) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getEditDistanceScoresOtherClass(String) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getEditDistanceScoresOtherClassThreshold(String) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
1 if lies in edit distance, 0 if not close to any words
getEditDistanceScoresThisClass(String, String) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getEditDistanceScoresThisClassThreshold(String, String) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getEmbeddingSize() - Method in class edu.stanford.nlp.neural.Embedding
 
getEnableTsurgeon() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
getEncoding() - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
getEncoding(Properties) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
getEncoding() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getEncoding() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
 
getEncoding() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
Return the input Charset encoding for the Treebank.
getEncoding() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return the charset encoding of the Treebank.
getEncoding() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
getEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
 
getEnd() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
 
getEnd() - Method in class edu.stanford.nlp.util.Interval
Returns the end point.
getEndDate() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
Returns this date or if it is a range, the date the range ends.
getEndNodes() - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
getEndWordVector() - Method in class edu.stanford.nlp.neural.Embedding
 
getEndWordVector() - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
getEnglishSplitCategories(String) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
This is hardwired to calculate the split categories from English Penn Treebank sections 2-21 with a default cutoff of 300 (as used in ACL03PCFG).
getEnglishWords() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getEntity(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getEntityMention(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getEntityMentionArgs() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
Fetches the arguments of this relation that are entity mentions
getEntityMentions(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getEntityMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getEntityMentions(CoreMap) - Method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
getEntityResultsPrinterSet() - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
getEntityTypeForTag(String) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
getEntityTypeForTag(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.roth.RothEntityExtractor
 
getEnv() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
 
getEpsilon() - Method in class edu.stanford.nlp.classify.LogPrior
 
getError() - Method in class edu.stanford.nlp.optimization.CmdEvaluator
 
getEvalbF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
getEvalbF1Percent() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
getEvals() - Method in class edu.stanford.nlp.parser.dvparser.DVModelReranker
 
getEvals() - Method in interface edu.stanford.nlp.parser.lexparser.Reranker
 
getEvent(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getEventMention(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getEventMentions(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getEventMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getEventMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
getEventMentions(CoreMap) - Method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
getExact() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
getExactPercent() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
getExctWsRegex(String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
 
getExistingAnnotator(String) - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
getExponentialSchedule(double, double, int) - Static method in class edu.stanford.nlp.sequences.CoolingSchedule
 
getExpression(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
 
getExpressionExtractor(Env, Reader) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
getExtension(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getExtent() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
getExtent() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMention
 
getExtent() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
getExtentString() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
getExtentTokenEnd() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
getExtentTokenStart() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
getExtractorFrames(String) - Static method in class edu.stanford.nlp.tagger.maxent.ExtractorFrames
 
getExtractorFramesRare(String, TTags) - Static method in class edu.stanford.nlp.tagger.maxent.ExtractorFramesRare
Get an array of rare word feature Extractor identified by a name.
getExtraEvals() - Method in class edu.stanford.nlp.parser.common.ParserGrammar
Returns a list of extra Eval objects to use when scoring the parser.
getExtraEvals() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
getExtraEvals() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
TODO: add an eval which measures transition accuracy?
getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
 
getExtras(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Get extra dependencies that do not depend on the tree structure, but rather only depend on the existing dependency structure.
getF1() - Method in class edu.stanford.nlp.dcoref.CorefScorer
 
getF1Description(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
Returns a String summarizing F1 that will print nicely.
getF1Description(int, L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
getF1Description(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns a String summarizing F1 that will print nicely.
getFactoredParser() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
getFactoredParser() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
getFactoredParser() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
getFactoredParser() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
getFactorTables() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
getFactory(String) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
Returns a factory that vends DelimitRegExIterators that read the contents of the given Reader, splits on the specified delimiter, then returns the result.
getFactory(String, Function<String, T>) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
Returns a factory that vends DelimitRegExIterators that reads the contents of the given Reader, splits on the specified delimiter, applies op, then returns the result.
getFactory() - Static method in class edu.stanford.nlp.objectbank.LineIterator
Returns a factory that vends LineIterators that read the contents of the given Reader, splitting on newlines.
getFactory(Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.LineIterator
Returns a factory that vends LineIterators that read the contents of the given Reader, splitting on newlines.
getFactory(String) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
Returns a factory that vends BeginEndIterators that reads the contents of the given Reader, extracts text between the specified Strings, then returns the result.
getFactory(String, boolean, boolean) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
getFactory(String, Function<String, E>) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
getFactory(String, Function<String, E>, boolean, boolean) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
getFactory() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns a factory that can create new instances of this kind of Counter.
getFactory() - Method in interface edu.stanford.nlp.stats.Counter
Returns a factory that can create new instances of this kind of Counter.
getFactory() - Method in class edu.stanford.nlp.stats.IntCounter
 
getFCounter(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
 
getFeature(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
 
getFeature(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
 
getFeatureCount(double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns number of features with weight above a certain threshold (across all labels).
getFeatureCount(Set<L>, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns number of features with weight above a certain threshold.
getFeatureCount(F) - Method in class edu.stanford.nlp.ling.RVFDatum
 
getFeatureCounter() - Method in class edu.stanford.nlp.classify.Dataset
Get Number of datums a given feature appears in.
getFeatureCountLabelIndices(Set<Integer>, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns number of features with weight above a certain threshold.
getFeatureCounts() - Method in class edu.stanford.nlp.classify.GeneralDataset
Get the total count (over all data instances) of each feature
getFeatureCounts() - Method in class edu.stanford.nlp.classify.WeightedDataset
 
getFeatureFromCoreLabel(CoreLabel, FeatureFactory.FeatureComponent) - Static method in class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
 
getFeatureGrouping() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
getFeatureGrouping() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
getFeatureGrouping() - Method in interface edu.stanford.nlp.optimization.HasFeatureGrouping
 
getFeatureIndex() - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
getFeatures(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
 
getFeatures(RelationMention, String) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
 
getFeatures(Configuration) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
 
getFeaturesAboveThreshhold(Dataset<String, String>, double) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
getFile() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getFile() - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
 
getFileInputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
Get a input file stream (automatically gunzip/bunzip2 depending on file extension)
getFilename() - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
 
getFilename() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.TRegexGUITreeVisitor
 
getFilename() - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
 
getFileOutputStream(String) - Static method in class edu.stanford.nlp.io.IOUtils
Get a output file stream (automatically gzip/bzip2 depending on file extension)
getFileSentIds(CollectionValuedMap<String, String>) - Method in class edu.stanford.nlp.patterns.surface.InvertedIndexByTokens
 
getFileSentIdsFromPats(Collection<Integer>, Index<SurfacePattern>) - Method in class edu.stanford.nlp.patterns.surface.InvertedIndexByTokens
 
getFindType() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
getFirst() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Finds the E with the highest priority and returns it, without modifying the queue.
getFirst() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Returns the highest-priority element without removing it from the queue.
getFirst() - Method in interface edu.stanford.nlp.util.PriorityQueue
Finds the object with the highest priority and returns it, without modifying the queue.
getFirstArg() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
Retrieves the argument that appears *first* in the sentence
getFirstKey() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
 
getFirstMention() - Method in class edu.stanford.nlp.dcoref.CorefCluster
 
getFirstNonWsChar(CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
getFirstNonWsCharOffset(CoreMap, boolean) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
getFirstRoot() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the (first) root of this SemanticGraph.
getFirstSyntacticHeadPosition() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
Find the left-most position of an argument's syntactic head
getFirstTranslation(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
 
getFloatFactorTable(float[][], int[][], List<Index<CRFLabel>>, int) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
getFMeasure(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
getFMeasure() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
getFMeasure() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns the current F1 measure (alpha=0.5).
getFMeasure(double) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns the F-Measure with the given mixing parameter (must be between 0 and 1).
getFN() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns the current count of false negatives.
getFolds() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getFont() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
getFontName() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
getFontSize() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
getFontSize() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
getFormatter(int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
 
getFormatter(int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
getFP() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns the current count of false positives.
getFullValue() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
Always returns the text corresponding to the extent of this object, even when getValue is overridden by subclass.
getFunc(int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
 
getGeneralizeClasses() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getGeneralWordClassClusters() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getGenericity() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
getGenre() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
getGfCharacter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
 
getGlobal() - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
For getting the instance that global methods use.
getGlobal() - Static method in class edu.stanford.nlp.util.Interner
For getting the instance that global methods use.
getGoldClass(Tree) - Static method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations
 
getGoldLinks() - Method in class edu.stanford.nlp.dcoref.Document
 
getGoogleNgramScore(String) - Method in class edu.stanford.nlp.patterns.surface.PhraseScorer
 
getGovernor() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
getGovernorIndex() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
getGradb1() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
 
getGradE() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
 
getGradW1() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
 
getGradW2() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
 
getGrammaticalRelation(int, int) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Get GrammaticalRelation between gov and dep, and null if gov is not the governor of dep
getGrammaticalRelation(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Get GrammaticalRelation between gov and dep, and null if gov is not the governor of dep
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
getGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Build a GrammaticalStructure from a Tree.
getGranularity() - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
 
getGranularity() - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
 
getGranularity() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getGranularity() - Method in class edu.stanford.nlp.time.SUTime.Time
 
getGranularity() - Method in enum edu.stanford.nlp.time.SUTime.TimeUnit
 
getGraph() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Returns the graph associated with this match.
getGraph(SequenceModel, Index<String>) - Static method in class edu.stanford.nlp.sequences.ViterbiSearchGraphBuilder
 
getGraphFromMap(Map<String, TransducerGraph>, String) - Static method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
getHead() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
getHead() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
getHead(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getHeadFinder() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
getHeadFinder() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
 
getHeadIndex(Tree) - Method in class edu.stanford.nlp.dcoref.MentionExtractor
 
getHeadTokenEnd() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
getHeadTokenPosition() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
getHeadTokenStart() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
getHeldOutPercent() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getHighestScoringTree(Tree, double) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
 
getHighlightColor() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
getHistories(String[], History) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
getHistory() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
getHistoryList() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
 
getHistorySize() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
getHistoryString() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
 
getID() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
getId() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceElement
 
getIgnoreWordswithClassesDuringSelection() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getIncomingEdges(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getIncomingEdges(V) - Method in interface edu.stanford.nlp.graph.Graph
for undirected graph, it is just the edges from the node
getIncomingEdgesSorted(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getInDegree(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getInDegree(V) - Method in interface edu.stanford.nlp.graph.Graph
for undirected graph, it should just be the degree
getIndex(List<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns the index of the first occurrence in the list of the specified object, using object identity (==) not equality as the criterion for object presence.
getIndex(List<T>, T, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns the index of the first occurrence after the startIndex (exclusive) in the list of the specified object, using object equals function.
getIndexAndCount(String) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
 
getIndexOfChild(Object, Object) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
getInDict(String) - Method in class edu.stanford.nlp.wordseg.affDict
 
getInexactDuration(ReadablePeriod) - Static method in class edu.stanford.nlp.time.SUTime.Duration
 
getInexactDuration(Duration) - Static method in class edu.stanford.nlp.time.SUTime.Duration
 
getInformationGains() - Method in class edu.stanford.nlp.classify.Dataset
 
getInnerMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
getInnerMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
getInput() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
getInput() - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
getInputEncoding() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns the input encoding being used.
getInputEncoding() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Returns the input encoding being used.
getInputs() - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
getInputStream() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
 
getInputStreamFromURLOrClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
Locates this file either using the given URL, or in the CLASSPATH, or in the file system The CLASSPATH takes priority over the file system! This stream is buffered and gunzipped (if necessary).
getInsertNPinPP() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
 
getInstance(String, Index<String>, Index<String>, List<IN>, Pair<double[][], double[][]>, SeqClassifierFlags) - Method in interface edu.stanford.nlp.ie.PriorModelFactory
 
getInstance() - Static method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
Singleton pattern function for getting a default verb stripper
getInstance(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
Singleton pattern function for getting a verb stripper based on the dictionary at dictPath.
getInstance() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
A method for getting a singleton instance of this class.
getInstance() - Static method in class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel
 
getInstance() - Static method in class edu.stanford.nlp.trees.tregex.gui.FilePanel
 
getInstance() - Static method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
 
getInstance() - Static method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
Returns the singleton instance of the MatchesPanel
getInstance() - Static method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
 
getInstant(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
getInt(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Load an integer property.
getInt(Properties, String, int) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Load an integer property.
getIntArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Loads a comma-separated list of integers from Properties.
getIntCount(Object) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the current count for the given key, which is 0 if it hasn't been seen before.
getInterval() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
getInterval() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
 
getInterval() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
 
getInterval() - Method in class edu.stanford.nlp.time.SUTime.Range
 
getInterval() - Method in class edu.stanford.nlp.time.SUTime.Time
 
getInterval() - Method in interface edu.stanford.nlp.util.HasInterval
Returns the interval
getInterval() - Method in class edu.stanford.nlp.util.Interval
Returns this interval.
getInterval() - Method in class edu.stanford.nlp.util.ValuedInterval
 
getIntTuple(int) - Static method in class edu.stanford.nlp.util.IntTuple
 
getIntTuple(List<Integer>) - Static method in class edu.stanford.nlp.util.IntTuple
 
getInverseArcs(Object, Object) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
getInverseArcs(Object) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
getInverseImages(FastExactAutomatonMinimizer.Split) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
getIterations() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getIterator(Reader) - Method in class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
Iterate over an input document.
getIterator(Reader) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
 
getIterator(Reader) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
 
getIterator(Reader) - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
 
getIterator(Reader) - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator.DelimitRegExIteratorFactory
 
getIterator(Reader) - Method in interface edu.stanford.nlp.objectbank.IteratorFromReaderFactory
Return an iterator over the contents read from r.
getIterator(Reader) - Method in class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
 
getIterator(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
Returns a tokenizer wrapping the given Reader.
getIterator(Reader) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
 
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
getIterator(Reader) - Method in class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter
 
getIterator(Reader) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
Same as getTokenizer().
getIterator(Reader) - Method in class edu.stanford.nlp.wordseg.Sighan2005DocumentReaderAndWriter
 
getJarClassifier(String, Properties) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
Used to load a classifier stored as a resource inside a jar file.
getJNLPLocalScratch() - Static method in class edu.stanford.nlp.io.IOUtils
A JavaNLP specific convenience routine for obtaining the current scratch directory for the machine you're currently running on.
getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.Duration
 
getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.DurationRange
 
getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
 
getJodaTimeDuration() - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
 
getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
 
getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
 
getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.InexactTime
 
getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
getJodaTimeInstant() - Method in class edu.stanford.nlp.time.SUTime.Time
 
getJodaTimeInterval() - Method in class edu.stanford.nlp.time.SUTime.Range
 
getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
 
getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.InexactTime
 
getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
getJodaTimePartial() - Method in class edu.stanford.nlp.time.SUTime.Time
 
getJodaTimePeriod(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.Duration
 
getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.DurationRange
 
getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
 
getJodaTimePeriod() - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
 
getJustification() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
 
getKBestParses(List<? extends HasWord>, int) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
 
getKBestParses(List<? extends HasWord>, int, boolean) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
 
getKBestParses(Iterable<List<? extends HasWord>>, int) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
 
getKBestParses(Iterable<List<? extends HasWord>>, int, boolean) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
 
getKBestParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
Get the exact k best parses for the sentence.
getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
Get the exact k best parses for the sentence.
getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
Get the exact k best parses for the sentence.
getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
Get the exact k best parses for the sentence.
getKBestParses(int) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
Get the exact k best parses for the sentence.
getKBestPCFGParses(int) - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
getKBestPCFGParses(int) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
Returns the trees (and scores) corresponding to the k-best derivations of the sentence.
getKBestPCFGParses(int) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
getKBestPCFGParses(int) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
TODO: return more if this used a beam
getKeepOriginalText() - Method in class edu.stanford.nlp.ling.DocumentReader
Returns whether created documents will store their source text along with tokenized words.
getKeyForClass(Class) - Static method in class edu.stanford.nlp.patterns.surface.Token
 
getKeySetEntities() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getKGoodFactoredParses(int) - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
getKGoodFactoredParses(int) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
getKGoodFactoredParses(int) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
getKGoodFactoredParses(int) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
getKGoodParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
Get k good parses for the sentence.
getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
Return the list of k "good" parses of the sentence most recently parsed.
getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
Get k good parses for the sentence.
getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
Get k good parses for the sentence.
getKGoodParses(int) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
Return the list of N "good" parses of the sentence most recently parsed.
getKSampledParses(int) - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
Get k parse samples for the sentence.
getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
Get k parse samples for the sentence.
getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
Get k parse samples for the sentence.
getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
Get k parse samples for the sentence.
getKSampledParses(int) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
Get k parse samples for the sentence.
getL1NormalizedTFIDFDataset() - Method in class edu.stanford.nlp.classify.Dataset
Method to convert this dataset to RVFDataset using L1-normalized TF-IDF features
getL1NormalizedTFIDFDatum(Datum<L, F>, Counter<F>) - Method in class edu.stanford.nlp.classify.Dataset
Method to convert features from counts to L1-normalized TFIDF based features
getLabel() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
getLabel(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getLabel() - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
 
getLabelDictionary() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getLabeledToDescriptiveCoreLabelTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions
Returns a function which takes a tree with any label class where the labels might have an interesting description, such as a CategoryWordTag which goes "cat [T/W]", and returns a new tree with CoreLabels which contain the toString() of each of the input labels.
getLabeledTreeToCategoryWordTagTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions
Return a Function that maps from StringLabel labeled trees to LabeledScoredTrees with a CategoryWordTag label.
getLabeledTreeToStringLabeledTreeFunction() - Static method in class edu.stanford.nlp.trees.TreeFunctions
Return an Function that maps from Label-labeled trees (any implementing class) to LabeledScored trees with a StringLabel label.
getLabelForInternalNegativeClass() - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
getLabelForInternalPositiveClass() - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
getLabelID(String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
 
getLabelIndices(Set<L>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns indices of labels
getLabels() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
getLabels() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
getLabelsArray() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
getLang() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getLanguageParams(String) - Static method in class edu.stanford.nlp.international.Languages
 
getLanguageParams(Languages.Language) - Static method in class edu.stanford.nlp.international.Languages
 
getLastArg() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
Retrieves the argument that appears *last* in the sentence
getLastF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
getLastSyntacticHeadPosition() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
Find the right-most position of an argument's syntactic head
getLatticeWords() - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
getLBScore() - Method in class edu.stanford.nlp.parser.lexparser.EvaluateTreebank
 
getLdctype() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
getLeaf(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
Gets the ith leaf of a tree from the left.
getLeafVertices() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getLearnClosedClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getLearnedPatterns(String) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
getLearnedPatterns() - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
getLearnedPatternsSurfaceForm(String) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
getLearnedWords(String) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
getLeaves() - Method in class edu.stanford.nlp.trees.Tree
Gets the leaves of the tree.
getLeaves(List<T>) - Method in class edu.stanford.nlp.trees.Tree
Gets the leaves of the tree.
getLeftChild(int, int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getLeftChild(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getLeftLabelSet(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getLeftmostNode(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
 
getLeftValency(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getLemma() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getLemmas(String) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserClient
Get the lemmas for the text according to the parser's lemmatizer (only applies to English), return it as whitespace tokenized text.
getLexicalCondition() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
 
getLexicon() - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
Get the lexicon associated with this unknown word model; usually not used, but might be useful to tell you if a related word is known or unknown, for example.
getLexicon() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
getLexicon() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
Returns the lexicon used by this unknown word model.
getLinearSchedule(double, int) - Static method in class edu.stanford.nlp.sequences.CoolingSchedule
 
getLineIterable(Reader, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
Given a reader, returns the lines from the reader as an Iterable.
getLineIterable(Reader, int, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
 
getLineIterator(String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(String, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(String, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(Reader) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(Reader, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(File) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(File, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(File, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(File, Function<String, X>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(Collection<?>, Function<String, X>) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(Collection<?>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLineIterator(Collection<?>, Function<String, X>, String) - Static method in class edu.stanford.nlp.objectbank.ObjectBank
 
getLinks(Map<Integer, CorefChain>) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
getListComparator() - Static method in class edu.stanford.nlp.util.CollectionUtils
 
getListComparator() - Static method in class edu.stanford.nlp.util.Comparators
 
getLiteral() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getLnrmRegex(String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
 
getLoc() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
getLoggerLevel() - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
 
getLong(Properties, String, long) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Load an integer property as a long.
getLongestPhrase(List<PhraseTable.Phrase>) - Static method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
getLongName() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
 
getLowestCommonAncestor(List<Tree>, Tree) - Static method in class edu.stanford.nlp.trees.Trees
Get lowest common ancestor of all the nodes in the list with the tree rooted at root
getLowestCommonAncestor(Tree, Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
returns the node of a tree which represents the lowest common ancestor of nodes t1 and t2 dominated by root.
getLWsRegex(String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
 
getMangledTree() - Method in class edu.stanford.nlp.trees.CollocationFinder
Returns the "collocations included" parse tree.
getMap(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
 
getMap() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
 
getMap(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
getMapFactory() - Method in class edu.stanford.nlp.stats.IntCounter
 
getMapFromString(String, Class<K>, Class<V>, MapFactory<K, V>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
getMapping(String) - Method in class edu.stanford.nlp.tagger.maxent.Distsim
Returns the cluster for the given word as a string.
getMargin(Tree, Tree) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
 
getMarkLineBreaks() - Method in class edu.stanford.nlp.process.StripTagsProcessor
Returns whether the output of the processor will contain newline words ("\n") at the end of block-level tags.
getMassiBbn() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getMassiClass() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getMassiWnss() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getMatch() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Get the last matching node -- that is, the node that matches the root node of the pattern.
getMatch() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Get the last matching tree -- that is, the tree node that matches the root node of the pattern.
getMatched() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
 
getMatchedColor() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
getMatchedColor() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
getMatchedLength() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
 
getMatchedPartCoordinates() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
getMatchedParts() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.TRegexGUITreeVisitor
 
getMatchedParts() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
 
getMatchedParts() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
getMatchedSentences() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
Returns all currently displayed sentences in plain text form.
getMatcher(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
getMatcher(List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
Returns a TokenSequenceMatcher that can be used to match this pattern against the specified list of tokens.
getMatches() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.TRegexGUITreeVisitor
 
getMatches() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
Returns all currently displayed matches in string buffer, penn treebank form (suitable for writing out, for instance)
getMatchPortionOnly() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
getMatchType() - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
 
getMaxAvailableMemory() - Method in class edu.stanford.nlp.util.MemoryMonitor
 
getMaxAvailableMemory(boolean) - Method in class edu.stanford.nlp.util.MemoryMonitor
 
getMaxMatches() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
getMaxMemory() - Method in class edu.stanford.nlp.util.MemoryMonitor
 
getMaxNodes() - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
 
getMaxSentenceLength() - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
 
getMaxTokenEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
Returns the largest start of all argument heads (or the beginning of the mention's extent if there are no arguments)
getMaxTokenEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
Returns the largest end of the two args heads
getMembers() - Method in interface edu.stanford.nlp.fsm.Block
 
getMemoryInUse() - Static method in class edu.stanford.nlp.util.SystemUtils
Returns the number of megabytes (MB) of memory in use.
getMention(Integer, String, List<CoreLabel>) - Static method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
 
getMention() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
getMention(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
getMention(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
 
getMentionCount() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
getMentionCount() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
 
getMentionMap() - Method in class edu.stanford.nlp.dcoref.CorefChain
 
getMentions() - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
 
getMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
 
getMentionsInTextualOrder() - Method in class edu.stanford.nlp.dcoref.CorefChain
get List of CorefMentions
getMentionsWithSameHead(IntPair) - Method in class edu.stanford.nlp.dcoref.CorefChain
get CorefMentions by position (sentence number, headIndex) Can be multiple mentions sharing headword
getMentionsWithSameHead(int, int) - Method in class edu.stanford.nlp.dcoref.CorefChain
get CorefMention by position
getMentionType() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
getMergedChunk(List<? extends CoreMap>, String, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Create chunk that is merged from chunkIndexStart to chunkIndexEnd (exclusive)
getMergedChunk(List<? extends CoreMap>, int, int, Map<Class, CoreMapAttributeAggregator>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Create chunk that is merged from chunkIndexStart to chunkIndexEnd (exclusive)
getMergedList() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
 
getMergedList(int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
 
getMiddle() - Method in class edu.stanford.nlp.util.IntQuadruple
 
getMiddle() - Method in class edu.stanford.nlp.util.IntTriple
 
getMidPoint(Interval<Integer>) - Static method in class edu.stanford.nlp.util.Interval
 
getMinFeatureThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getMinimizer() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getMinimizer(int, Evaluator[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getMinNodes() - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
 
getMinTokenStart() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
Returns the smallest start of all argument heads (or the beginning of the mention's extent if there are no arguments)
getMinTokenStart() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
Returns the smallest start of the two args heads
getMissingRequirement(Set<String>) - Method in class edu.stanford.nlp.pipeline.Requirement
 
getMod() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getModal(Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
 
getModality() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
getMode() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getModel() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getModelFromLexicalizedParser(LexicalizedParser) - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
 
getModification() - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
getModifiers(Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
 
getMonth() - Method in class edu.stanford.nlp.time.SUTime.IsoDate
 
getMostGeneral(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
getMostGeneral(Period) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
getMostSpecific(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
getMostSpecific(Period) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
getmPolarity() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
getMultimatched() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
 
getMultimatches() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
 
getMultioffsets() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
 
getMultiPatternMatcher(Collection<TokenSequencePattern>) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
Create a multi-pattern matcher for matching across multiple TokensRegex patterns
getMultiPatternMatcher(TokenSequencePattern...) - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
Create a multi-pattern matcher for matching across multiple TokensRegex patterns
getMultivalues() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
 
getName() - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
getName() - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
getName() - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
getName() - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
getName() - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
getName() - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
getName() - Method in class edu.stanford.nlp.optimization.SQNMinimizer
 
getName() - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
getName() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
getName() - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
Returns the full class name for the objects being produced
getNegation(Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
 
getNegLabel() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
getNegLabel() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
getNeighbors(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
Gets both parents and children nodes
getNeighbors(V) - Method in interface edu.stanford.nlp.graph.Graph
 
getNerc() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getNewEnv() - Static method in class edu.stanford.nlp.ie.NumberNormalizer
 
getNewEnv() - Static method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
 
getNewLineCount() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
 
getNewlineToken() - Static method in class edu.stanford.nlp.process.PTBTokenizer
Returns the string literal inserted for newlines when the -tokenizeNLs options is set.
getNext() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
getNext() - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
 
getNext() - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
 
getNext() - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
 
getNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.LexerTokenizer
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.PTBTokenizer
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.TokenizerAdapter
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.WhitespaceTokenizer
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.process.WordSegmentingTokenizer
 
getNext() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer
Internally fetches the next token.
getNext() - Method in class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer
Internally fetches the next token.
getNextContext() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
getNextContextLen() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
getNextContextStr() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
getNextDocument() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
 
getNextToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Get the next Token.
getNGrams(List<T>, int, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Get all sub-lists of the given list of the given sizes.
getNgrams(List<String>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
n grams for already splitted string.
getNgramsFromTokens(List<CoreLabel>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
n grams for already splitted string.
getNgramsString(String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
The string is split on whitespace and the ngrams are joined with a single space
getNode(String) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Returns the node labeled with name in the pattern.
getNode(Node, Pattern...) - Static method in class edu.stanford.nlp.time.XMLUtils
 
getNode(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
 
getNode(String) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Returns the node labeled with name in the pattern.
getNode(IntervalTree.TreeNode<E, T>, int) - Method in class edu.stanford.nlp.util.IntervalTree
 
getNodeByIndex(int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the first IndexedWord in this SemanticGraph having the given integer index, or throws IllegalArgumentException if no such node is found.
getNodeByIndexSafe(int) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Same as above, but returns null if the index does not exist (instead of throwing an exception).
getNodeByWordPattern(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the first IndexedWord in this SemanticGraph having the given word or regex, or return null if no such found.
getNodeNames() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Returns the set of names for named nodes in this pattern.
getNodeNames() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
 
getNodeNumber(int) - Method in class edu.stanford.nlp.trees.Tree
Fetches the ith node in the tree, with node numbers defined as in Tree.nodeNumber(Tree).
getNodePattern(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getNodes() - Method in class edu.stanford.nlp.fsm.TransducerGraph
Just does union of keysets of maps.
getNodes(Node, Pattern...) - Static method in class edu.stanford.nlp.time.XMLUtils
 
getNodes(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
 
getNodeText(Node, Pattern...) - Static method in class edu.stanford.nlp.time.XMLUtils
 
getNodeText(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
 
getNodeTexts(Node, String...) - Static method in class edu.stanford.nlp.time.XMLUtils
 
getNodeVector(Tree) - Static method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations
Get the vector (distributed representation) at a particular node.
getNonBackgroundLabels(CoreLabel) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
getNonNested(List<? extends T>, Function<? super T, Interval<E>>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
 
getNonOverlapping(List<Match<K, V>>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a list of matches, returns all non-overlapping matches.
getNonOverlapping(List<Match<K, V>>, Comparator<? super Match<K, V>>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Given a list of matches, returns all non-overlapping matches.
getNonOverlapping(List<Match<K, V>>, Function<? super Match<K, V>, Double>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
 
getNonOverlapping(List<? extends T>, Function<? super T, Interval<E>>) - Static method in class edu.stanford.nlp.util.IntervalTree
 
getNonOverlapping(List<? extends T>, Function<? super T, Interval<E>>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
 
getNonOverlapping(List<? extends T>, Comparator<? super T>) - Static method in class edu.stanford.nlp.util.IntervalTree
 
getNonOverlapping(List<? extends T>) - Static method in class edu.stanford.nlp.util.IntervalTree
 
getNonOverlappingMaxScore(List<? extends T>, Function<? super T, Interval<E>>, Function<? super T, Double>) - Static method in class edu.stanford.nlp.util.IntervalTree
 
getNonOverlappingMaxScore(List<? extends T>, Function<? super T, Double>) - Static method in class edu.stanford.nlp.util.IntervalTree
 
getNormalized(String) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.AbstractStringAnnotationPattern
 
getNormalizedCount(E) - Method in class edu.stanford.nlp.stats.IntCounter
This has been de-deprecated in order to reduce compilation warnings, but really you should create a Distribution instead of using this method.
getNormalizedForm(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
getNormalizedName() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
getNotNullString(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
getNotNullTrueStringRep() - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
note that this does *not* return string representation of arrays, lists and enums
getNThreads() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getNum() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
getNumber() - Method in class edu.stanford.nlp.maxent.Experiments
 
getNumberOfKeys() - Method in class edu.stanford.nlp.stats.Distribution
 
getNumberOfTemporalExprs() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
 
getNumberOfTemporalFuncs() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
 
getNumberOfTemporals() - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
 
getNumClasses() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
getNumClasses() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
get the number of classes in the sequence model.
getNumEdges() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getNumEdges() - Method in interface edu.stanford.nlp.graph.Graph
 
getNumEdges() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
 
getNumElements() - Method in class edu.stanford.nlp.neural.SimpleTensor
Total number of elements in the tensor
getNumNodes() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
 
getNumStates() - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
getNumValues() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
getNumVertices() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getNumVertices() - Method in interface edu.stanford.nlp.graph.Graph
 
getNumWeights() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Returns the total number of weights associated with this classifier.
getObject(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Searches for the object in the queue and returns it.
getObjectId() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
getObjective(AbstractStochasticCachingDiffUpdateFunction, double[], double, int[]) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
getObjectiveFunction(int[][][][], int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getObjectiveFunction(int[][][][], int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNoisyLabel
 
getObjectiveFunction(int[][][][], int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierWithDropout
 
getOneSmallerLabel() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
getOp() - Method in class edu.stanford.nlp.parser.common.ParserGrammar
 
getOp() - Method in class edu.stanford.nlp.parser.dvparser.DVParser
 
getOp() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
getOp() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
getOpenClassTags() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getOpenTags() - Method in class edu.stanford.nlp.tagger.maxent.TTags
Returns a list of all open class tags
getOperationFromReader(BufferedReader, TregexPatternCompiler) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Parses a tsurgeon script text input and compiles a tregex pattern and a list of tsurgeon operations into a pair.
getOperationsFromFile(String, String, TregexPatternCompiler) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Parses a tsurgeon script file and compiles all operations in the file into a list of pairs of tregex and tsurgeon patterns.
getOptions(StanfordCoreNLP) - Static method in class edu.stanford.nlp.pipeline.AnnotationOutputter
Populates options from StanfordCoreNLP pipeline
getOracle(Configuration, DependencyTree) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
 
getOracle(Configuration, DependencyTree) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
Provide a static-oracle recommendation for the next parsing step to take.
getOrder() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
getOrder() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
getOrder() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
getOrderedAntecedents(int, int, List<Mention>, List<List<Mention>>, Mention, int, Map<Integer, CorefCluster>, Dictionaries) - Method in class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve
Orders the antecedents for the given mention (m1)
getOrderedMentions() - Method in class edu.stanford.nlp.dcoref.Document
return the list of predicted mentions
getOtherSemanticClassesWords() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getOutDegree(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getOutDegree(V) - Method in interface edu.stanford.nlp.graph.Graph
 
getOutEdgesSorted(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getOuterMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
getOuterMapFactory() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
getOutgoingEdges(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getOutgoingEdges(V) - Method in interface edu.stanford.nlp.graph.Graph
for undirected graph, it is just the edges from the node
getOutput() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
getOutput() - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
getOutput() - Method in class edu.stanford.nlp.optimization.CmdEvaluator
 
getOutputEncoding() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns the output encoding being used.
getOutputEncoding() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Returns the output encoding being used.
getOutputFile() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getOutputFormat() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getOutputLemmas() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getOutputOfPathInGraph(List) - Method in class edu.stanford.nlp.fsm.TransducerGraph
For testing only.
getOutputOptions() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getOutputOptionsContains(String) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getOutputStream() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
 
getOutputVerbosity() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getOverlapping(T) - Method in class edu.stanford.nlp.util.IntervalTree
 
getOverlapping(IntervalTree.TreeNode<E, T>, E) - Static method in class edu.stanford.nlp.util.IntervalTree
 
getOverlapping(IntervalTree.TreeNode<E, T>, Interval<E>) - Static method in class edu.stanford.nlp.util.IntervalTree
 
getOverlapping(IntervalTree.TreeNode<E, T>, E, List<T>) - Static method in class edu.stanford.nlp.util.IntervalTree
 
getOverlapping(IntervalTree.TreeNode<E, T>, Interval<E>, List<T>) - Static method in class edu.stanford.nlp.util.IntervalTree
 
getPad() - Method in class edu.stanford.nlp.util.PaddedList
 
getParamDesc() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
 
getParamDesc() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareFunction
 
getParamDesc() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
 
getParamDesc(String, int) - Static method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
 
getParamDesc() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
 
getParamDesc() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
 
getParamDesc() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.TypeCheckedFunction
 
getParent() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
getParent() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
 
getParent() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
 
getParent(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Return the real syntactic parent of vertex.
getParent() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
Returns the parent of this GrammaticalRelation.
getParentList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getParents(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getParents(V) - Method in interface edu.stanford.nlp.graph.Graph
for undirected graph, it is just the neighbors
getParents() - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
If this EventMention is a subevent, this will return the parent event.
getParents(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getParentsWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a set of all parents bearing a certain grammatical relation, or an empty set if none.
getParse(String, boolean) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserClient
Returns the String output of the parse of the given query.
getParser() - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
 
getParserFromFile(String, Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
getParserFromSerializedFile(String) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
getParserFromTextFile(String, Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
getParserFromTreebank(Treebank, Treebank, double, GrammarCompactor, Options, Treebank, List<List<TaggedWord>>) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
A method for training from two different treebanks, the second of which is presumed to be orders of magnitude larger.
getParserQueryEvals() - Method in class edu.stanford.nlp.parser.common.ParserGrammar
Return a list of Eval-style objects which care about the whole ParserQuery, not just the finished tree
getParserQueryEvals() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
getParserQueryEvals() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
getPartial(Instant, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
getPartNo() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
 
getPathOutputs(List<List>) - Method in class edu.stanford.nlp.fsm.TransducerGraph
For testing only.
getPathToRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Find the path from the given node to a root.
getPatsForEachToken() - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
getPattern() - Method in class edu.stanford.nlp.dcoref.Mention
 
getPattern(List<AbstractCoreLabel>) - Method in class edu.stanford.nlp.dcoref.Mention
 
getPattern() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.SequenceRegexPattern
 
getPattern() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationRegexPattern
 
getPattern(String[]) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
 
getPattern(String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
 
getPattern() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.TRegexGUITreeVisitor
 
getPatternExpr() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
getPatternIndex() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getPatterns(String, Set<Integer>, Integer, Counter<String>, Set<Integer>) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
getPatternScoringClass(GetPatternsFromDataMultiClass.PatternScoring) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
getPatternsForAllTokens(String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
 
getPatternsForAllTokens(Collection<String>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
 
getPatternsForAllTokens(String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
getPatternsForAllTokens(Collection<String>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
getPatternsForAllTokens(String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
 
getPatternsForAllTokens(Collection<String>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
 
getPatternsForEachToken() - Method in class edu.stanford.nlp.patterns.surface.CreatePatterns
Returns null if using DB backed!!
GetPatternsFromDataMultiClass - Class in edu.stanford.nlp.patterns.surface
Given text and a seed list, this class gives more words like the seed words by learning surface word patterns.
GetPatternsFromDataMultiClass(Properties, Map<String, List<CoreLabel>>, Set<String>, boolean, String) - Constructor for class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
GetPatternsFromDataMultiClass(Properties, Map<String, List<CoreLabel>>, Set<String>, boolean, Class, String) - Constructor for class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
GetPatternsFromDataMultiClass(Properties, Map<String, List<CoreLabel>>, Set<String>, boolean, String, Map<String, Class>, Map<Class, Object>) - Constructor for class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
GetPatternsFromDataMultiClass(Properties, Map<String, List<CoreLabel>>, Set<String>, boolean, Class, String, Map<String, Class>, Map<Class, Object>) - Constructor for class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
GetPatternsFromDataMultiClass(Properties, Map<String, List<CoreLabel>>, Map<String, Set<String>>, boolean) - Constructor for class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
GetPatternsFromDataMultiClass(Properties, Map<String, List<CoreLabel>>, Map<String, Set<String>>, boolean, Map<String, Class<? extends TypesafeMap.Key<String>>>) - Constructor for class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
GetPatternsFromDataMultiClass(Properties, Map<String, List<CoreLabel>>, Map<String, Set<String>>, boolean, Map<String, Class<? extends TypesafeMap.Key<String>>>, Map<String, Class>, Map<String, Map<Class, Object>>) - Constructor for class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
generalize classes basically maps label strings to a map of generalized strings and the corresponding class ignoreClasses have to be boolean
GetPatternsFromDataMultiClass.LabelWithSeedWords - Class in edu.stanford.nlp.patterns.surface
 
GetPatternsFromDataMultiClass.PatternScoring - Enum in edu.stanford.nlp.patterns.surface
RlogF is from Riloff 1996, when R's denominator is (pos+neg+unlabeled)
getPatternsInstance(Properties, ConstantsAndVariables.PatternForEachTokenWay) - Static method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
 
getPCFGParser() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
getPCFGParser() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
getPCFGParser() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
getPCFGParser() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
getPCFGScore() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
getPCFGScore() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
getPCFGScore() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
getPCFGScore() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
getPercentCorrect() - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
 
getPeriod() - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
 
getPeriod() - Method in class edu.stanford.nlp.time.SUTime.Duration
 
getPeriod() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
getPeriod() - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
 
getPeriod() - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
 
getPeriod() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getPeriod() - Method in enum edu.stanford.nlp.time.SUTime.TimeUnit
 
getPerturbedDistribution(Counter<E>, Random) - Static method in class edu.stanford.nlp.stats.Distribution
 
getPerturbedUniformDistribution(Collection<E>, Random) - Static method in class edu.stanford.nlp.stats.Distribution
 
getPhrase() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
 
getPhraseWeightFromWords(Counter<String>, String, double) - Method in class edu.stanford.nlp.patterns.surface.PhraseScorer
 
getPID() - Static method in class edu.stanford.nlp.util.SystemUtils
Returns the process ID, via an awful hack.
getPIDNoExceptions() - Static method in class edu.stanford.nlp.util.SystemUtils
Returns the process ID, via an awful hack, or else -1.
getPipeline(Properties, boolean) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
getPlaceHolder(int, U) - Method in class edu.stanford.nlp.util.ConfusionMatrix
 
getPos() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getPOS(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getPOSDistribution() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
getPosID(String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
 
getPosition() - Method in class edu.stanford.nlp.dcoref.Mention
 
getPositions(FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
getPossibleValues(int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
getPossibleValues(int) - Method in class edu.stanford.nlp.ie.crf.TestSequenceModel
 
getPossibleValues(int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
getPossibleValues(int) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
Return the valid sequence labels (as integer indices) for a particular position in the sequence.
getPossibleValues(int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
Return the valid sequence labels (as integer indices) for a particular position in the sequence.
getPossibleValues(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
getPostmodifiers() - Method in class edu.stanford.nlp.dcoref.Mention
 
getPrecision() - Method in class edu.stanford.nlp.dcoref.CorefScorer
 
getPrecision(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
getPrecision() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
getPrecision() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns the current precision: tp/(tp+fp).
getPrecisionDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
Returns a String summarizing precision that will print nicely.
getPrecisionDescription(int, L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
getPrecisionDescription(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns a String summarizing precision that will print nicely.
getPrecisionInfo(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
Returns the current precision: tp/(tp+fp).
getPrecisionInfo() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
getPredictedClass(Tree) - Static method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations
 
getPredictionError(Tree) - Static method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations
 
getPredictions() - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
getPredictions(Tree) - Static method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations
 
getPreferredSize() - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
getPrefix() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getPrefixesAndSuffixes(List<T>, int, int, T, boolean, boolean) - Static method in class edu.stanford.nlp.util.CollectionUtils
Get all prefix/suffix combinations from a list.
getPremodifierContext() - Method in class edu.stanford.nlp.dcoref.Mention
 
getPremodifiers() - Method in class edu.stanford.nlp.dcoref.Mention
 
getPrep(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "prep" grammatical relation.
getPrepC(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "prepc" grammatical relation.
getPreps() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
getPrepsC() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
getPreTerminal(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
gets the nth preterminal in tree.
getPrevContext() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
getPrevContextStr() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
getPreviousContextLen() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
getPrintSingletons() - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
getPrintWriter(File) - Static method in class edu.stanford.nlp.io.IOUtils
 
getPrintWriter(File, String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getPrintWriter(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getPrintWriter(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getPrintWriterIgnoringExceptions(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getPrintWriterOrDie(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
getPriority() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
getPriority() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
getPriority() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Gets the priority of the highest-priority element of the queue (without modifying the queue).
getPriority(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Get the priority of a key.
getPriority(Object) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Note that this method will be linear (not constant) time in this implementation! Better not to use it.
getPriority() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Gets the priority of the highest-priority element of the queue.
getPriority() - Method in interface edu.stanford.nlp.util.PriorityQueue
Gets the priority of the highest-priority element of the queue (without modifying the queue).
getPriority(E) - Method in interface edu.stanford.nlp.util.PriorityQueue
Get the priority of a key.
getPriorType(String) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
getPriorType(String) - Static method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
getPriorType(String) - Static method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
 
getProbabilities() - Method in class edu.stanford.nlp.stats.SimpleGoodTuring
Returns the probabilities allocated to each type, according to their count in the underlying collection.
getProbabilityForUnseen() - Method in class edu.stanford.nlp.stats.SimpleGoodTuring
Returns the probability allocated to types not seen in the underlying collection.
getProcessor() - Method in class edu.stanford.nlp.util.concurrent.InterruptibleMulticoreWrapper
 
getProperties() - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
Fetches the Properties object used to construct this Annotator
getPunctClass(String) - Static method in class edu.stanford.nlp.parser.tools.PunctEquivalenceClasser
Return the equivalence class of the argument.
getQuantification(Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
 
getQueueLabel(State, int) - Static method in class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
 
getQueueLabel(List<Tree>, int, int) - Static method in class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
 
getRadical(char) - Static method in class edu.stanford.nlp.trees.international.pennchinese.RadicalMap
What is the primary radical of this char?
getRadius(Interval<Integer>) - Static method in class edu.stanford.nlp.util.Interval
 
getRandomBoolean(Random, double) - Static method in class edu.stanford.nlp.patterns.surface.LearnImportantFeatures
 
getRandomSequence(SequenceModel) - Static method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
getRandomSubDataset(double, int) - Method in class edu.stanford.nlp.classify.Dataset
 
getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
 
getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
 
getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
 
getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
 
getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
 
getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
 
getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
 
getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Range
 
getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
 
getRange() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getRange(int) - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Time
 
getRange(int, SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
 
getRange() - Method in class edu.stanford.nlp.time.Timex
Gets two Calendars, marking the beginning and ending of this Timex's range.
getRange(Timex) - Method in class edu.stanford.nlp.time.Timex
Gets two Calendars, marking the beginning and ending of this Timex's range.
getRareWordMinFeatureThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getRareWordThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getRawByteEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getRawByteOffset() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getRawByteStart() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getReader() - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
getReader() - Method in class edu.stanford.nlp.ling.DocumentReader
Returns the reader for the text input source of this DocumentReader.
getReader(String) - Static method in class edu.stanford.nlp.ling.DocumentReader
Returns a Reader that reads in the given text.
getReader(File) - Static method in class edu.stanford.nlp.ling.DocumentReader
Returns a Reader that reads in the given file.
getReader(URL) - Static method in class edu.stanford.nlp.ling.DocumentReader
Returns a Reader that reads in the given URL.
getReader(InputStream) - Static method in class edu.stanford.nlp.ling.DocumentReader
Returns a Reader that reads in the given InputStream.
getRecall() - Method in class edu.stanford.nlp.dcoref.CorefScorer
 
getRecall(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
getRecall() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
getRecall() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns the current recall: tp/(tp+fn).
getRecallDescription(int) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
Returns a String summarizing precision that will print nicely.
getRecallDescription(int, L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
getRecallDescription(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns a String summarizing recall that will print nicely.
getRecallInfo(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
getRecallInfo() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
getRecentDependent(TreeShapedStack<Tree>, FeatureFactory.Transition, int) - Static method in class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
 
getRegex(String[]) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
 
getRegex(String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
 
getRegL1() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getRegularizerParamRange(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
getRegularizerParamRange(double[]) - Method in interface edu.stanford.nlp.optimization.HasRegularizerParamRange
 
getRelatedNodes(TreeGraphNode, TreeGraphNode, HeadFinder) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
Given a Tree node t, attempts to return a list of nodes to which node t has this grammatical relation, with t as the governor.
getRelation() - Method in class edu.stanford.nlp.dcoref.Mention
 
getRelation(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getRelation(RelationMentionFactory, CoreMap, ExtractionObject...) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
Return the relation that holds between the given entities.
getRelation() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
getRelation(Interval<E>) - Method in class edu.stanford.nlp.util.FuzzyInterval
 
getRelation(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
Returns the relationship of this interval to the other interval The most specific relationship from the following is returned.
getRelationFlags(Interval<E>) - Method in class edu.stanford.nlp.util.FuzzyInterval
 
getRelationFlags(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
Return set of flags indicating possible relationships between this interval and another interval.
getRelationMention(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getRelationMentions(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getRelationMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getRelationMentions() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
getRelationMentions(CoreMap) - Method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
getRelationNames() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Returns the set of names for named relations in this pattern.
getRelationResultsPrinterSet() - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
getRelations(RelationMentionFactory, CoreMap, ExtractionObject...) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
Return all the relations that holds between the given entities.
getRelevant(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
getRelevant() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
getRelevantWords(SurfacePattern) - Method in class edu.stanford.nlp.patterns.surface.SentenceIndex
 
getRelnString(String) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
 
getReportEmbedding(Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
 
getRepresentativeMention() - Method in class edu.stanford.nlp.dcoref.CorefChain
Return the most representative mention in the chain.
getRepresentativeMention() - Method in class edu.stanford.nlp.dcoref.CorefCluster
 
getReservedMass() - Method in class edu.stanford.nlp.stats.Distribution
 
getRetrieved(L) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
getRetrieved() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
getReverseMap() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
Returns a reversed map of the current map.
getRho(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
getRightChild(int, int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getRightChild(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getRightLabelSet(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getRightmostNode(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
 
getRightValency(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getRole() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMentionArgument
 
getRoles() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
 
getRoot() - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
getRoots() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getRoots(Collection<TypedDependency>) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
Return a list of TypedDependencies which are not dependent on any node from the list.
getRule(UnaryRule) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
getRVFDatum(int) - Method in class edu.stanford.nlp.classify.Dataset
 
getRVFDatum(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
getRVFDatum(int) - Method in class edu.stanford.nlp.classify.RVFDataset
 
getRVFDatumId(int) - Method in class edu.stanford.nlp.classify.RVFDataset
 
getRVFDatumSource(int) - Method in class edu.stanford.nlp.classify.RVFDataset
 
getS(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
getSample(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
Gets a random sample (this is sampling with replacement).
getSampler(List<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
getScore(CorefScorer.SubScoreType) - Method in class edu.stanford.nlp.dcoref.CorefScorer
 
getScore() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
 
getScore() - Method in class edu.stanford.nlp.trees.DeepTree
 
getScorer() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getScoreWForNode(Tree) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
getSearch() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getSecondKey() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
 
getSegmenterDataFromFile(String, Options) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
getSegmenterDataFromSerializedFile(String) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
getSelectedMatch() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
Get the selected tree and its corresponding matched parts
getSentAveF1() - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
getSentence(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getSentence(AceDocument) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
Fetches the id of the sentence that contains this mention
getSentence() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getSentence(CoreMap, int) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
getSentence() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
getSentenceCount() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getSentenceDelimiter() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
This returns the sentence delimiter used when tokenizing text using the tokenizer requested in this config.
getSentenceId() - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
 
getSentences() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getSentences(Map<Integer, Set<String>>) - Method in class edu.stanford.nlp.patterns.surface.ScorePhrases
 
getSentenceSize() - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getSentenceWordLists() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
 
getSequenceMatchResultExtractor() - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getSequenceModel(List<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
getSequenceModel(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
getSequenceModel(List<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
getSequencePatternExpr(String, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getSGML() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getShortClassName(Object) - Static method in class edu.stanford.nlp.util.StringUtils
Returns a short class name for an object.
getShortestDirectedPathEdges(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getShortestDirectedPathNodes(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the shortest directed path between two edges in the graph.
getShortestPath(Graph<V, E>, V, V, boolean) - Static method in class edu.stanford.nlp.graph.DijkstraShortestPath
 
getShortestPath(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
direction insensitive (the paths can go "up" or through the parents)
getShortestPath(V, V, boolean) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
can specify the direction sensitivity
getShortestPathEdges(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getShortestPathEdges(V, V, boolean) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
getShortestUndirectedPathEdges(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
getShortestUndirectedPathNodes(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the nodes in the shortest undirected path between two edges in the graph.
getShortName() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
 
getSiblings(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Method for getting the siblings of a particular node.
getSigma() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
getSigma() - Method in class edu.stanford.nlp.classify.LogPrior
 
getSigmaSquared() - Method in class edu.stanford.nlp.classify.LogPrior
 
getSigmaSquared() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getSigmaSquaredM() - Method in class edu.stanford.nlp.classify.LogPrior
 
getSignature() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
getSignature(String, int) - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
6-9 were added for Arabic.
getSignature(String, int) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
Signature for a specific word; loc parameter is ignored.
getSignature(String, int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel
 
getSignature(String, int) - Method in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
This routine returns a String that is the "signature" of the class of a word.
getSignature(String, int) - Method in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel
TODO Can add various signatures, setting the signature via Options.
getSignature(String, int) - Method in class edu.stanford.nlp.parser.lexparser.SpanishUnknownWordModel
TODO Can add various signatures, setting the signature via Options.
getSignature(String, int) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
This routine returns a String that is the "signature" of the class of a word.
getSignature(String, Properties, PropertiesUtils.Property[]) - Static method in class edu.stanford.nlp.util.PropertiesUtils
 
getSignatureIndex(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
Returns the index of the signature of the word numbered wordIndex, where the signature is the String representation of unknown word features.
getSignatureIndex(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
getSignatureIndex(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
Returns the index of the signature of the word numbered wordIndex, where the signature is the String representation of unknown word features.
getSignatureIndex(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel
Returns the index of the signature of the word numbered wordIndex, where the signature is the String representation of unknown word features.
getSignatureIndex(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.SpanishUnknownWordModel
Returns the index of the signature of the word numbered wordIndex, where the signature is the String representation of unknown word features.
getSignatureIndex(int, int, String) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
 
getSimple() - Method in class edu.stanford.nlp.patterns.surface.Token
 
getSimplerTokens(Token[]) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
getSimplerTokensNext() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
getSimplerTokensPrev() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
getSingleParent(CoreMap) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
getSingletonFeatures(Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
Returns the features used by the singleton predictor (logistic classifier) to decide whether the mention belongs to a singleton entity
getSingletonPredictorFromSerializedFile(String) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
getSize() - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
getSize() - Method in class edu.stanford.nlp.tagger.maxent.ReadDataTagged
Returns the number of tokens in the data read, which is the number of words plus one end sentence token per sentence.
getSize() - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
getSlice(int) - Method in class edu.stanford.nlp.neural.SimpleTensor
Returns the SimpleMatrix at slice.
getSmallerLabel(int) - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
getSortedEntries(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
 
getSource() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
getSource() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
getSource() - Method in class edu.stanford.nlp.util.IntPair
Return the first element of the pair
getSource() - Method in class edu.stanford.nlp.util.IntQuadruple
 
getSource() - Method in class edu.stanford.nlp.util.IntTriple
 
getSource() - Method in class edu.stanford.nlp.util.IntUni
 
getSourceNode() - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
getSpan(ExtractionObject...) - Static method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
Returns the smallest span that covers the extent of all these objects
getSpan() - Method in class edu.stanford.nlp.trees.Tree
Returns SpanAnnotation of this node, or null if annotation is not assigned.
getSpeakerClusterId(Document, String) - Static method in class edu.stanford.nlp.dcoref.Rules
Given the name of a speaker, returns the coref cluster id it belongs to (-1 if no cluster)
getSpeakerDesc() - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
 
getSpeakerInfo(String) - Method in class edu.stanford.nlp.dcoref.Document
 
getSpeakerName() - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
 
getSpeakerNameStrings() - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
 
getSpecific() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
 
getSplit() - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
getSplitCategories(Treebank, double, TreebankLanguagePack) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
Call this method to get a String array of categories to split on.
getSplitCategories(Treebank, boolean, int, double, double, TreebankLanguagePack) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
Call this method to get a String array of categories to split on.
getSplitPattern() - Method in class edu.stanford.nlp.dcoref.Mention
 
getStack(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
Get the sentence index of the kth word on the stack.
getStackLabel(TreeShapedStack<Tree>, int, FeatureFactory.Transition...) - Static method in class edu.stanford.nlp.parser.shiftreduce.FeatureFactory
 
getStackSize() - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getStandardTemporalType() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getStart() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
 
getStartDate() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
Returns this date or if it is a range, the date the range starts.
getStartNode() - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
getStartWordVector() - Method in class edu.stanford.nlp.neural.Embedding
 
getStartWordVector() - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
getStateSplitCount(Tree) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
getStateSplitCount(String) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
getStopProb(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Return the probability (as a real number between 0 and 1) of stopping rather than generating another argument at this position.
getStopWords() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getStoreWay() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
 
getStr() - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getString(Class<KEY>) - Method in interface edu.stanford.nlp.ling.AbstractCoreLabel
 
getString(Class<KEY>) - Method in class edu.stanford.nlp.ling.CoreLabel
Return a non-null String value for a key.
getString(Class<KEY>) - Method in class edu.stanford.nlp.ling.IndexedWord
 
getString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationPattern
 
getString(Properties, String, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Load an integer property.
getStringArray(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Loads a comma-separated list of strings from Properties.
getStringArray(Properties, String, String[]) - Static method in class edu.stanford.nlp.util.PropertiesUtils
 
getStringMatchResultExtractor() - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getStringPattern(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getStringRepresentationComparator() - Static method in class edu.stanford.nlp.util.Comparators
A Comparator that compares objects by comparing their String representations, as determined by invoking toString() on the objects in question.
getSubListIndex(String[], String[], String[], Set<String>, HashSet<String>, int) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
If l1 is a part of l2, it finds the starting index of l1 in l2 If l1 is not a sub-array of l2, then it returns -1 note that l2 should have the exact elements and order as in l1
getSubListIndex(Object[], Object[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
If tofind is a part of tokens, it finds the ****starting index***** of tofind in tokens If tofind is not a sub-array of tokens, then it returns null note that tokens sublist should have the exact elements and order as in tofind
getSubtype() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
 
getSubtype() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
getSubtype() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
 
getSubType() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
getSuffixes() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getSupportedDurationFields(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
getSvmLightVerbosity() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getSymbol() - Method in enum edu.stanford.nlp.time.SUTime.TimexMod
 
getSymbols() - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
getSyntacticHeadToken() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
getSyntacticHeadTokenPosition() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
getSyntacticHeadTree() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
getSystemFreeMemory(boolean) - Method in class edu.stanford.nlp.util.MemoryMonitor
 
getSystemSwapsPerSec() - Method in class edu.stanford.nlp.util.MemoryMonitor
 
getSystemUsedSwap() - Method in class edu.stanford.nlp.util.MemoryMonitor
 
getTable() - Method in class edu.stanford.nlp.wordseg.CorpusDictionary
 
getTag(String) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
 
getTag(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
Build a POS tag consisting of a base category plus inflectional features.
getTag() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
 
getTag(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
 
getTag(String, String) - Static method in class edu.stanford.nlp.tagger.maxent.ASBCunkDict
 
getTag(String, String) - Static method in class edu.stanford.nlp.tagger.maxent.CTBunkDict
Returns "1" as true if the dictionary listed this word with this tag, and "0" otherwise.
getTag(int) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
getTag(int) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
getTag(String, String) - Method in class edu.stanford.nlp.wordseg.CorpusChar
 
getTaggerFeatures() - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
getTagIndex(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Will return the index of a tag if known, -1 if not already known
getTagInside() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
Return a regex of XML elements to tag inside of.
getTagPre(String, String) - Static method in class edu.stanford.nlp.tagger.maxent.CtbDict
 
getTags() - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
Returns the Set of entities recognized by this Classifier.
getTags() - Method in interface edu.stanford.nlp.ling.tokensregex.types.Expression
Returns tags associated with this expression
getTags() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
 
getTags() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
 
getTags() - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
 
getTags(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
getTagScore() - Method in class edu.stanford.nlp.parser.lexparser.EvaluateTreebank
 
getTagSeparator(Properties) - Static method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
getTagSeparator() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getTagSuf(String, String) - Static method in class edu.stanford.nlp.tagger.maxent.CtbDict
 
getTagType(String) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
getTarget() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
getTarget() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
getTarget() - Method in class edu.stanford.nlp.util.IntPair
Return the second element of the pair
getTarget() - Method in class edu.stanford.nlp.util.IntQuadruple
 
getTarget() - Method in class edu.stanford.nlp.util.IntTriple
 
getTarget2() - Method in class edu.stanford.nlp.util.IntQuadruple
 
getTargetNode() - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
getTargets() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringInSetAnnotationPattern
 
getTemperature(int) - Method in class edu.stanford.nlp.sequences.CoolingSchedule
 
getTemporal(String) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
 
getTemporal(int) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
 
getTemporal() - Method in class edu.stanford.nlp.time.TimeExpression
 
getTemporalExpr(String) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
 
getTemporalExpr(int) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
 
getTemporalFunc(int) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
 
getTense() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
getTensorForNode(Tree) - Method in class edu.stanford.nlp.sentiment.SentimentModel
 
getTerminal(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
gets the nth terminal in tree.
getText() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
 
getText() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
getText() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
 
getText(Label) - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
getTextContent(CoreMap, Span) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
Fetches the sentence text in a given token span
getTextPattern() - Method in class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
 
getTfid(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getTfidString(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getTid(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getTidString(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getTime() - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
 
getTime() - Method in class edu.stanford.nlp.time.SUTime.Duration
 
getTime() - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
 
getTime() - Method in class edu.stanford.nlp.time.SUTime.InexactTime
 
getTime() - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
 
getTime() - Method in class edu.stanford.nlp.time.SUTime.Range
 
getTime() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getTime() - Method in class edu.stanford.nlp.time.SUTime.Time
 
getTimeLabel() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getTimexAttributes(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
 
getTimexAttributes(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.Range
 
getTimexAttributes(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
 
getTimexAttributes(SUTime.TimeIndex) - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getTimexType() - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
 
getTimexType() - Method in class edu.stanford.nlp.time.SUTime.Duration
 
getTimexType() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
getTimexType() - Method in class edu.stanford.nlp.time.SUTime.Range
 
getTimexType() - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
 
getTimexType() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getTimexType() - Method in class edu.stanford.nlp.time.SUTime.TemporalSet
 
getTimexType() - Method in class edu.stanford.nlp.time.SUTime.Time
 
getTimexValue() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getTLPParams() - Method in class edu.stanford.nlp.parser.common.ParserGrammar
 
getTLPParams() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
getTLPParams() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
getToken(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getToken(int) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Get the specific Token.
getToken() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
getTokenBegin() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
 
getTokenCount() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
getTokenEnd() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
 
getTokenEnd() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
 
getTokenize() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getTokenizedText(String) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserClient
Tokenize the text according to the parser's tokenizer, return it as whitespace tokenized text.
getTokenizer(Reader) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
 
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
 
getTokenizer(Reader) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
 
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
 
getTokenizer(Reader) - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
 
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
 
getTokenizer(Reader) - Method in class edu.stanford.nlp.pipeline.TokenizerAnnotator
Returns a thread-safe tokenizer
getTokenizer(Reader) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
Returns a tokenizer wrapping the given Reader.
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
getTokenizer(Reader) - Method in interface edu.stanford.nlp.process.TokenizerFactory
 
getTokenizer(Reader, String) - Method in interface edu.stanford.nlp.process.TokenizerFactory
 
getTokenizer(Reader) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
getTokenizer(Reader) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
Gets a tokenizer from a reader.
getTokenizer(Reader, String) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
 
getTokenizerFactory() - Method in class edu.stanford.nlp.ling.DocumentReader
Returns the tokenizer used to chop up text into words for the documents.
getTokenizerFactory() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return a tokenizer which might be suitable for tokenizing text that will be used with this Treebank/Language pair, without tokenizing carriage returns (i.e., treating them as white space).
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
Return a tokenizer which might be suitable for tokenizing text that will be used with this Treebank/Language pair.
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
 
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Return a tokenizer which might be suitable for tokenizing text that will be used with this Treebank/Language pair, without tokenizing carriage returns (i.e., treating them as white space).
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
Return a tokenizer which might be suitable for tokenizing text that will be used with this Treebank/Language pair, without tokenizing carriage returns (i.e., treating them as white space).
getTokenizerFactory() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Returns a factory for PTBTokenizer.
getTokenizerFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return a tokenizer factory which might be suitable for tokenizing text that will be used with this Treebank/Language pair.
getTokenizerInvertible() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getTokenizerOptions() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getTokenizerType(Properties) - Static method in enum edu.stanford.nlp.pipeline.TokenizerAnnotator.TokenizerType
Get TokenizerType based on what's in the properties
getTokenOffset() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
 
getTokenOffsets() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
getTokenStart() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
 
getTokenText(List<? extends CoreMap>, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
getTokenText(List<? extends CoreMap>, Class, String) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
getToolTipText(MouseEvent) - Method in class edu.stanford.nlp.swing.TooltipJList
 
getTopCategoryOfSyntheticState(String) - Static method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
getTopFeatures(double, boolean, int) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns list of top features with weight above a certain threshold (list is descending and across all labels).
getTopFeatures(Set<L>, double, boolean, int, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns list of top features with weight above a certain threshold
getTopFeatures(boolean, List<File>, Map<String, List<CoreLabel>>, double, double, String) - Method in class edu.stanford.nlp.patterns.surface.LearnImportantFeatures
 
getTopFeaturesLabelIndices(Set<Integer>, double, boolean, int, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns list of top features with weight above a certain threshold
getTopParsesForOneTree(LexicalizedParser, int, Tree, TreeTransformer) - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
 
getTotalGroups() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
getTotalTime() - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
Return the total pipeline annotation time in milliseconds.
getTP() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns the current count of true positives.
getTransitionID(String) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
 
getTree(String) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserClient
Returs a Tree from the server connected to at host:port.
getTree() - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
getTree() - Method in class edu.stanford.nlp.trees.DeepTree
 
getTree() - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
 
getTreebank() - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
 
getTreebankDescription(String[], int, String) - Static method in class edu.stanford.nlp.parser.common.ArgUtils
 
getTreeColor() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
getTreeDimension(Tree, Font) - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
getTreePrint() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Return a TreePrint for formatting parsed output trees.
getTreePrint() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
Return a TreePrint for formatting parsed output trees.
getTreeReaderFactory() - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
getTrees(String, int, int, int, int) - Static method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
 
getTregexPatternFromReader(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Assumes that we are at the beginning of a tsurgeon script file and gets the string for the tregex pattern leading the file
getTRF() - Static method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
getTriggeredPatterns(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
Given a sequence, return the collection of patterns that are triggered by the sequence (these patterns are the ones that may potentially match a subsequence in the sequence)
getTrimmedText(CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
getTsurgeonOperationsFromReader(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Assumes the given reader has only tsurgeon operations (not a tregex pattern), and parses these out, collecting them into one operation.
getTsurgeonTextFromReader(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Assumes the given reader has only tsurgeon operations (not a tregex pattern), and returns them as a String, mirroring the way the strings appear in the file.
getTuneCV() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getTuneHeldOut() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getTuneMinimizer() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
getTwoDimensionalMap(K1) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
getType(String) - Static method in class edu.stanford.nlp.classify.LogPrior
 
getType() - Method in class edu.stanford.nlp.classify.LogPrior
 
getType() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.CorefMentionAnnotation
 
getType() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.NamedEntityAnnotation
 
getType() - Method in class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefAnnotation
 
getType() - Method in class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefChainAnnotation
 
getType() - Method in class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefClusterAnnotation
 
getType() - Method in class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefClusterIdAnnotation
 
getType() - Method in class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefDestAnnotation
 
getType() - Method in class edu.stanford.nlp.dcoref.CorefCoreAnnotations.CorefGraphAnnotation
Deprecated.
 
getType() - Method in class edu.stanford.nlp.dcoref.Mention
 
getType() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
 
getType() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
getType() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
getType() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
 
getType() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
getType() - Method in class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.AllRelationMentionsAnnotation
 
getType() - Method in class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.DependencyAnnotation
Deprecated.
 
getType() - Method in class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.DocumentDirectoryAnnotation
 
getType() - Method in class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.DocumentIdAnnotation
Deprecated.
 
getType() - Method in class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.EntityMentionsAnnotation
 
getType() - Method in class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.EventMentionsAnnotation
 
getType() - Method in class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.GenderAnnotation
 
getType() - Method in class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.RelationMentionsAnnotation
 
getType() - Method in class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.TriggerAnnotation
 
getType() - Method in class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter.RewrittenArabicAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.ChineseCoreAnnotations.CharactersAnnotation
 
getType() - Method in interface edu.stanford.nlp.ling.CoreAnnotation
Returns the type associated with this annotation.
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AbbrAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AbgeneAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AbstrAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AnswerObjectAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AntecedentAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ArgDescendentAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ArgumentAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.AuthorAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BagOfWordsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BeginIndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BestCliquesAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.BestFullAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CalendarAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetBeginAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CharAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseCharAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseIsSegmentedAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseOrigSegAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChineseSegAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoarseTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ColumnDataClassifierAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CommonWordsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepParentIndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepTypeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLPredicateAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CoNLLSRLAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ContextsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CopyAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CostMagnificationAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.CovertIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.D2_LBeginAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.D2_LEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.D2_LMiddleAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DayAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DependentsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DictAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DistSimAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DoAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocDateAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocSourceTypeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocTitleAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DocTypeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.DomainAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EndIndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityClassAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityRuleAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.EntityTypeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FeaturesAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FemaleGazAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FirstChildAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceUntilEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.FreqAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GazAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GazetteerAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GenericTokensAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GeniaAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GoldAnswerAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GovernorAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.GrandparentAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.HaveAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.HeadWordStringAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.HeightAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IDFAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.INAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.InterpretationAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IsDateRangeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.IsURLAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LabelAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LabelWeightAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LastGazAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LastTaggedAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LBeginAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LeftChildrenNodeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LeftTermAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LengthAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LineNumberAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LinkAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LMiddleAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.LocationAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MaleGazAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MarkingAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MentionsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MentionTokenAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MonthAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoCaseAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoGenAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoNumAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.MorphoPersAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NeighborsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NERIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NormalizedNamedEntityTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NotAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeObjectAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeTypeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeValueAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericObjectAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericTypeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumericValueAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumerizedTokensAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.NumTxtSentencesAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.OriginalAnswerAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.OriginalCharAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.OriginalTextAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParagraphAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParagraphsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParaPositionAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ParentAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PercentAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PolarityAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PositionAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PossibleAnswersAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PredictedAnswerAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PrevChildAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.PriorAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ProjectedCategoryAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ProtoAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.RoleAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionDateAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SectionStartAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadWordAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SemanticWordAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentenceIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentenceIndexAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentencePositionAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ShapeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SpaceBeforeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SpanAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SpeakerAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SRLIDAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SRLInstancesAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.StackedNamedEntityTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.StateAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.StemAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.SubcategorizationAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TagLabelAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TokenBeginAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TokenEndAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TopicAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseTextAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.TrueTagAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UBlockAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UnaryAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UnknownAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UseMarkedDiscourseAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UtteranceAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.UTypeAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.ValueAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.VerbSenseAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WebAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordFormAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordnetSynAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordPositionAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.WordSenseAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.XmlContextAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.XmlElementAnnotation
 
getType() - Method in class edu.stanford.nlp.ling.CoreAnnotations.YearAnnotation
 
getType() - Method in interface edu.stanford.nlp.ling.tokensregex.types.Expression
Returns a string indicating the type of this expression
getType() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
 
getType() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
 
getType() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
 
getType() - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags.TagsAnnotation
 
getType() - Method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations.GoldClass
 
getType() - Method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations.NodeVector
 
getType() - Method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations.PredictedClass
 
getType() - Method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations.PredictionError
 
getType() - Method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations.Predictions
 
getType() - Method in class edu.stanford.nlp.parser.common.ParserAnnotations.CandidatePartOfSpeechAnnotation
 
getType() - Method in class edu.stanford.nlp.parser.common.ParserAnnotations.ConstraintAnnotation
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.Features
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.LongestMatchedPhraseForEachLabel
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.MatchedPattern
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.MatchedPatterns
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.MatchedPhrases
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.OtherSemanticLabel
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel1
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel10
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel2
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel3
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel4
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel5
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel6
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel7
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel8
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel9
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.ProcessedTextAnnotation
 
getType() - Method in class edu.stanford.nlp.patterns.surface.PatternsAnnotations.SeedLabeledOrNot
 
getType() - Method in class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.BasicDependenciesAnnotation
 
getType() - Method in class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation
 
getType() - Method in class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation
 
getType() - Method in class edu.stanford.nlp.sentiment.SentimentCoreAnnotations.AnnotatedTree
 
getType() - Method in class edu.stanford.nlp.sentiment.SentimentCoreAnnotations.ClassName
 
getType() - Method in class edu.stanford.nlp.time.TimeAnnotations.TimexAnnotation
 
getType() - Method in class edu.stanford.nlp.time.TimeAnnotations.TimexAnnotations
 
getType() - Method in class edu.stanford.nlp.time.TimeExpression.Annotation
 
getType() - Method in class edu.stanford.nlp.time.TimeExpression.ChildrenAnnotation
 
getType() - Method in class edu.stanford.nlp.time.TimeExpression.TimeIndexAnnotation
 
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.BinarizedTreeAnnotation
 
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadTagAnnotation
 
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadWordAnnotation
 
getType() - Method in class edu.stanford.nlp.trees.TreeCoreAnnotations.TreeAnnotation
 
getTypedDependencyChains(List<TypedDependency>, int) - Static method in class edu.stanford.nlp.trees.Dependencies
 
getTypeName(Class) - Static method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
 
getTypeProbabilities() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
getUASScore(List<CoreMap>, List<DependencyTree>, List<DependencyTree>) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
 
getUnaryClassification(String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
 
getUncertaintyGranularity() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
getUniformDistribution(Collection<E>) - Static method in class edu.stanford.nlp.stats.Distribution
 
getUnknownLevel() - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
 
getUnknownLevel() - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
getUnknownLevel() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
Get the level of equivalence classing for the model.
getUnknownWordModel() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
getUnknownWordModel() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
getUnknownWordModel() - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
getUnknownWordModel() - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
getUnknownWordVector() - Method in class edu.stanford.nlp.neural.Embedding
 
getUnknownWordVector() - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
getUnminimizedFA() - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
getUnsupportedDurationPeriod(Partial, Period) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
getUrlEncoding(URLConnection) - Static method in class edu.stanford.nlp.io.IOUtils
 
getUsedMemory() - Method in class edu.stanford.nlp.util.MemoryMonitor
 
getUsedMemory(boolean) - Method in class edu.stanford.nlp.util.MemoryMonitor
 
getUseSigma() - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
Get whether or not to train an overlying platt (sigmoid) model for producing meaningful probabilities.
getval() - Method in class edu.stanford.nlp.math.DoubleAD
 
getVal(int) - Method in class edu.stanford.nlp.maxent.Feature
Get the value at the index-ed non zero value pair (x,y)
getVal(int, int) - Method in class edu.stanford.nlp.maxent.Feature
This is rarely used because it is slower and requires initHashVals() to be called beforehand to initialize the hashValues.
getVal(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
getVal(int, int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
getValidatingXmlParser(File) - Static method in class edu.stanford.nlp.util.XMLUtils
Returns a validating XML parser given an XSD (not DTD!).
getValue(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
getValue(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
getValue(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
getValue() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
Get the text value of this entity.
getValue() - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
Returns the text corresponding to the extent of this object
getValue(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
 
getValue(String) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
 
getValue() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.IntegerAnnotationPattern
 
getValue() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
getValue() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
 
getValue() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
getValue(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
 
getValue() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
 
getValue() - Method in class edu.stanford.nlp.util.ValuedInterval
 
getValues(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
 
getValues(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
 
getValues(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
getValuesArray() - Method in class edu.stanford.nlp.classify.Dataset
 
getValuesArray() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
getValuesArray() - Method in class edu.stanford.nlp.classify.RVFDataset
 
getValueType(Class<? extends CoreAnnotation>) - Static method in class edu.stanford.nlp.ling.AnnotationLookup
Returns the runtime value type associated with the given key.
getVariables() - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
getVariableString(String) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
If there is a current match, and that match involves setting this particular variable string, this returns that string.
getVariance(double[]) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
getVariance(double[], int) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
getVectors() - Method in class edu.stanford.nlp.trees.DeepTree
 
getVerbose() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getVerboseResults() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getVerticesFromEdgeSet(Iterable<SemanticGraphEdge>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Given an iterable set of edges, returns the set of vertices covered by these edges.
getVeryCommonWordThresh() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getVisibleClasses() - Static method in class edu.stanford.nlp.util.Execution
 
getViterbiSearchGraph(List<IN>, Class<? extends CoreAnnotation<String>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
getVocabWord(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
getVocabWord(String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
 
getW(String) - Method in class edu.stanford.nlp.wordseg.CorpusDictionary
 
getW1() - Method in class edu.stanford.nlp.parser.nndep.Classifier
 
getW2() - Method in class edu.stanford.nlp.parser.nndep.Classifier
 
getWeight() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
getWeight() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
getWeightedTreebankDescription(String[], int, String) - Static method in class edu.stanford.nlp.parser.common.ArgUtils
 
getWeightIndices() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
getWeights() - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
getWeights() - Method in class edu.stanford.nlp.classify.WeightedDataset
 
getWeights(String) - Static method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
getWForNode(Tree) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
getWForNode(Tree) - Method in class edu.stanford.nlp.sentiment.SentimentModel
 
getWord() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
getWord() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
 
getWord(int) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.StringList
 
getWord(int) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.TokenList
 
getWord(int) - Method in interface edu.stanford.nlp.ling.tokensregex.PhraseTable.WordList
 
getWord(int) - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
getWord(CoreLabel) - Method in class edu.stanford.nlp.sequences.FeatureFactory
Convenience methods for subclasses which use CoreLabel.
getWord() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
getWord() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
getWordClassClusters() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getWordFunction() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getWordID(String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
Get an integer ID for the given word.
getWordList() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
 
getWordShapeCache() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getWordShapeScore(String, String) - Method in class edu.stanford.nlp.patterns.surface.PhraseScorer
 
getWordShapesForLabels() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
getWordsOverSpan(int, int) - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
getWordVector(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
getWordVector(String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
 
getWordVectors() - Method in class edu.stanford.nlp.neural.Embedding
 
getWrappedList() - Method in class edu.stanford.nlp.util.PaddedList
Deprecated.
getX(int) - Method in class edu.stanford.nlp.maxent.Feature
 
getX() - Method in class edu.stanford.nlp.tagger.maxent.History
 
getX(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
getXMLInput() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
getXmlParser() - Static method in class edu.stanford.nlp.util.XMLUtils
Returns a non-validating XML parser.
getXValues(Pair<Integer, String>) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
getY() - Method in class edu.stanford.nlp.maxent.DataGeneric
 
getY(int) - Method in class edu.stanford.nlp.maxent.Feature
 
getY(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
getY() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
getY(int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
getYear() - Method in class edu.stanford.nlp.time.SUTime.IsoDate
 
getYInd() - Method in class edu.stanford.nlp.tagger.maxent.DataWordTag
 
getYTag() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
getYYEOF() - Method in interface edu.stanford.nlp.io.Lexer
returns value for YYEOF
gfCharacter - Variable in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Default character for indicating that something is a grammatical fn; probably should be overridden by lang specific ones
globalIntern(T) - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
Returns a unique object o' that .equals the argument o.
globalIntern(T) - Static method in class edu.stanford.nlp.util.Interner
Returns a unique object o' that .equals the argument o.
globalMutex - Static variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
 
goal - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
goalStr - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
GOES_WITH - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "goes with" grammatical relation.
GoldAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GoldAnswerAnnotation
 
GoldClass() - Constructor for class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations.GoldClass
 
goldCorefClusterID - Variable in class edu.stanford.nlp.dcoref.Mention
 
goldCorefClusters - Variable in class edu.stanford.nlp.dcoref.Document
Gold Clusters for coreferent mentions
GoldenSectionLineSearch - Class in edu.stanford.nlp.optimization
A class to do golden section line search.
GoldenSectionLineSearch(double, double, double) - Constructor for class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
GoldenSectionLineSearch(double, double, double, boolean) - Constructor for class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
GoldenSectionLineSearch(boolean) - Constructor for class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
GoldenSectionLineSearch(boolean, double, double, double) - Constructor for class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
GoldenSectionLineSearch(boolean, double, double, double, boolean) - Constructor for class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
goldOrderedMentionsBySentence - Variable in class edu.stanford.nlp.dcoref.Document
The list of gold mentions
goodTuringSmoothedCounter(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution
Creates a Good-Turing smoothed Distribution from the given counter.
goodTuringWithExplicitUnknown(Counter<E>, E) - Static method in class edu.stanford.nlp.stats.Distribution
Creates a Good-Turing smoothed Distribution from the given counter without creating any reserved mass-- instead, the special object UNK in the counter is assumed to be the count of "UNSEEN" items.
googleNGram - Static variable in class edu.stanford.nlp.patterns.surface.Data
 
googleNGramsFile - Static variable in class edu.stanford.nlp.patterns.surface.Data
 
gov() - Method in class edu.stanford.nlp.trees.TypedDependency
 
governor() - Method in interface edu.stanford.nlp.trees.Dependency
Describes the governor (regent/head) of the dependency relation.
GOVERNOR - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation
The "governor" grammatical relation, which is the inverse of "dependent".
governor() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
GovernorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GovernorAnnotation
 
govToDepMap(List<TypedDependency>) - Static method in class edu.stanford.nlp.trees.Dependencies
 
gPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
This variable controls doing 2 levels of parent annotation.
gpaAD - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Grandparent annotate all AD.
gpaRootVP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Grand-parent annotate (root mark) VP below ROOT.
GPEPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
grad - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
gradientCheck() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
gradientCheck(int, int, double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
gradientDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
gradientsOnly - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
gradList - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
gradPerturbed - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
GrammarCompactor - Class in edu.stanford.nlp.parser.lexparser
 
GrammarCompactor(Options) - Constructor for class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
GrammarProjection - Interface in edu.stanford.nlp.parser.lexparser
Maps between the states of a more split and less split grammar.
GrammaticalFunctionTreeNormalizer - Class in edu.stanford.nlp.trees
Tree normalizer for cleaning up labels and preserving the whole node label, the grammatical function and category information from the label, or only the category information.
GrammaticalFunctionTreeNormalizer(TreebankLanguagePack, int) - Constructor for class edu.stanford.nlp.trees.GrammaticalFunctionTreeNormalizer
 
GrammaticalRelation - Class in edu.stanford.nlp.trees
GrammaticalRelation is used to define a standardized, hierarchical set of grammatical relations, together with patterns for identifying them in parse trees.
GrammaticalRelation(GrammaticalRelation.Language, String, String, GrammaticalRelation, String, TregexPatternCompiler, String...) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
 
GrammaticalRelation(GrammaticalRelation.Language, String, String, GrammaticalRelation) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
 
GrammaticalRelation(GrammaticalRelation.Language, String, String, GrammaticalRelation, String) - Constructor for class edu.stanford.nlp.trees.GrammaticalRelation
 
GrammaticalRelation.Language - Enum in edu.stanford.nlp.trees
 
GrammaticalStructure - Class in edu.stanford.nlp.trees
A GrammaticalStructure stores dependency relations between nodes in a tree.
GrammaticalStructure(Tree, Collection<GrammaticalRelation>, Lock, HeadFinder, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructure
Create a new GrammaticalStructure, analyzing the parse tree and populate the GrammaticalStructure with as many labeled grammatical relation arcs as possible.
GrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructure
 
GrammaticalStructure(Tree, Collection<GrammaticalRelation>, HeadFinder, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.GrammaticalStructure
 
grammaticalStructureFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
GrammaticalStructureFactory - Interface in edu.stanford.nlp.trees
A general factory for GrammaticalStructure objects.
grammaticalStructureFactory() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
grammaticalStructureFactory(Predicate<String>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
grammaticalStructureFactory(Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
grammaticalStructureFactory() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Return a GrammaticalStructure suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>) - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Return a GrammaticalStructure suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>, HeadFinder) - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
 
grammaticalStructureFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
grammaticalStructureFactory(Predicate<String>, HeadFinder) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return a GrammaticalStructureFactory suitable for this language/treebank.
GrammaticalStructureFromDependenciesFactory - Interface in edu.stanford.nlp.trees
An interface for a factory that builds a GrammaticalStructure from a list of TypedDependencies and a TreeGraphNode.
GrandparentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GrandparentAnnotation
 
Graph<V,E> - Interface in edu.stanford.nlp.graph
 
GREATER - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
greekifyNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
GREEN - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
GroundedTime(SUTime.Time, ReadableInstant) - Constructor for class edu.stanford.nlp.time.SUTime.GroundedTime
 
GroundedTime(ReadableInstant) - Constructor for class edu.stanford.nlp.time.SUTime.GroundedTime
 
group() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
group(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
group(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
group(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns the String representing the matched group.
group(Iterable<V>, Comparator<V>) - Static method in class edu.stanford.nlp.util.Iterables
Groups consecutive elements from the given iterable based on the value in the given comparator.
GROUP_AFTER_MATCH - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
GROUP_BEFORE_MATCH - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
groupByFeatureTemplate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
groupByHiddenUnit - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
groupByInput - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
groupByOutputClass - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
groupCount() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
groupInfo() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
groupInfo(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
groupInfo(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
groupInfo(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
groupInfo() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
groupInfo(int) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
groupInfo(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
GroupMatchReplacement(int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.GroupMatchReplacement
 
groupMatchResult(int, int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
groupMatchResult(String, int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
groupMatchResult(int, int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
groupMatchResult(int, int) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns an Object representing the result for the match for a particular node in a group.
groupMatchResult(String, int) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns an Object representing the result for the match for a particular node in a group.
groupMatchResults() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
groupMatchResults(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
groupMatchResults(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
groupMatchResults(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
groupMatchResults() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns a list of Objects representing the match results for the entire sequence.
groupMatchResults(int) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns a list of Objects representing the match results for the nodes in the group.
groupMatchResults(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns a list of Objects representing the match results for the nodes in the group.
groupNodes() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
groupNodes(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
groupNodes(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
groupNodes(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
groupNodes() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns the entire matched subsequence as a list.
groupNodes(int) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns the matched group as a list.
groupNodes(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns the matched group as a list.
GroupPatternExpr(SequencePattern.PatternExpr) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
 
GroupPatternExpr(SequencePattern.PatternExpr, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
 
GroupPatternExpr(SequencePattern.PatternExpr, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
 
GroupToIntervalFunc(int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.GroupToIntervalFunc
 
groupValue() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
groupValue(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
groupValue(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
groupValue(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
groupValue() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns the value (some Object) associated with the entire matched sequence.
groupValue(int) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns the value (some Object) associated with the captured group.
groupValue(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns the value (some Object) associated with the captured group.
GUTIME_OUTPUT_RESULTS - Static variable in class edu.stanford.nlp.time.GUTimeAnnotator
 
GUTIME_PATH_PROPERTY - Static variable in class edu.stanford.nlp.time.GUTimeAnnotator
 
GUTIME_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
These are annotators which StanfordCoreNLP does not know how to create by itself, meaning you would need to use the custom annotator mechanism to create them.
GUTimeAnnotator - Class in edu.stanford.nlp.time
Annotates text using GUTime perl script.
GUTimeAnnotator() - Constructor for class edu.stanford.nlp.time.GUTimeAnnotator
 
GUTimeAnnotator(File) - Constructor for class edu.stanford.nlp.time.GUTimeAnnotator
 
GUTimeAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.time.GUTimeAnnotator
 

H

halfday - Variable in class edu.stanford.nlp.time.SUTime.IsoTime
 
HALFDAY_AM - Static variable in class edu.stanford.nlp.time.SUTime
 
HALFDAY_PM - Static variable in class edu.stanford.nlp.time.SUTime
 
HALFDAY_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
 
HALFHOUR - Static variable in class edu.stanford.nlp.time.SUTime
 
HALFYEAR - Static variable in class edu.stanford.nlp.time.SUTime
 
HalfYearOfYear - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
HalfYears - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
handle(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.LogRecordHandler
Handle a log Record, either as a filter or by producing a side effect.
handle(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.OutputHandler
Handle a log Record, either as a filter or by producing a side effect.
handle(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
Handle a log Record, either as a filter or by producing a side effect.
handle(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RerouteChannel
 
handle(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
Handle a log Record, either as a filter or by producing a side effect.
handleDependencies(String, OutputStream, String) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserServer
 
handleLemma(String, OutputStream) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserServer
 
handleParse(String, OutputStream, boolean) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserServer
Returns the result of applying the parser to arg as a string.
handleQuit() - Method in class edu.stanford.nlp.parser.server.LexicalizedParserServer
Tells the server to exit.
handlers(RedwoodConfiguration.Thunk...) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Handlers() - Constructor for class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
 
handleTokenize(String, OutputStream) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserServer
 
handleTree(String, OutputStream) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserServer
Returns the result of applying the parser to arg as a serialized tree.
hardcodeSoftmaxOutputWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
has(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.ling.IndexedWord
 
has(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
Returns true if the map contains the given key.
has(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap
Returns true if the map contains the given key.
hasAdjSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
hasAdverbSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
 
hasAdvSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
HasCategory - Interface in edu.stanford.nlp.ling
Something that implements the HasCategory interface knows about categories.
hasCharacterOffsets(CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
hasChild(IndexedWord, GrammaticalRelation, String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Does the given vertex have at least one child with the given reln and the lemma childLemma?
hasChildren(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
hasChildWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Does the given vertex have at least one child with the given reln?
HasCliquePotentialFunction - Interface in edu.stanford.nlp.ie.crf
Indicates that this function can build a clique potential function for external use
hasConditionalSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
 
HasContext - Interface in edu.stanford.nlp.ling
 
hasDigit(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
HasEvaluators - Interface in edu.stanford.nlp.optimization
Indicates that an minimizer supports evaluation periodically
hasFactoredParse() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
hasFactoredParse() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
hasFactoredParse() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
hasFactoredParse() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
hasFeature(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
 
HasFeatureGrouping - Interface in edu.stanford.nlp.optimization
Indicates that an minimizer supports grouping features for g-lasso or ae-lasso
hasFeminineSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
 
hasField(ReadablePartial, DateTimeFieldType) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
hasField(ReadablePeriod, DurationFieldType) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
HasFloatInitial - Interface in edu.stanford.nlp.optimization
Indicates that a function has a method for supplying an intitial value.
hasFont(String) - Static method in class edu.stanford.nlp.swing.FontDetector
 
hasGerundSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
 
HASH_MAP_CLASSNAME - Static variable in class edu.stanford.nlp.util.Generics
 
HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
HASH_MAP_PROPERTY - Static variable in class edu.stanford.nlp.util.Generics
 
HASH_SET_CLASSNAME - Static variable in class edu.stanford.nlp.util.Generics
 
HASH_SET_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
 
HASH_SET_PROPERTY - Static variable in class edu.stanford.nlp.util.Generics
 
HashableCoreMap - Class in edu.stanford.nlp.util
An extension of ArrayCoreMap with an immutable set of key,value pairs that is used for equality and hashcode comparisons.
HashableCoreMap(Map<Class<? extends TypesafeMap.Key<?>>, Object>) - Constructor for class edu.stanford.nlp.util.HashableCoreMap
Creates an instance of HashableCoreMap with initial key,value pairs for the immutable, hashable keys as provided in the given map.
HashableCoreMap(ArrayCoreMap, Set<Class<? extends TypesafeMap.Key<?>>>) - Constructor for class edu.stanford.nlp.util.HashableCoreMap
Creates an instance by copying values from the given other CoreMap, using the values it associates with the given set of hashkeys for the immutable, hashable keys used by hashcode and equals.
HashableCoreMap.HashableCoreMapException - Exception in edu.stanford.nlp.util
An exception thrown when attempting to change the value associated with an (immutable) hash key in a HashableCoreMap.
HashableCoreMapException(String) - Constructor for exception edu.stanford.nlp.util.HashableCoreMap.HashableCoreMapException
 
hashCode() - Method in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
 
hashCode() - Method in class edu.stanford.nlp.dcoref.CorefChain
 
hashCode() - Method in class edu.stanford.nlp.fsm.DFSAState
 
hashCode() - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
hashCode() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
Be careful hashing these.
hashCode() - Method in class edu.stanford.nlp.ie.crf.CRFDatum
 
hashCode() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
hashCode() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
hashCode() - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
hashCode() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
hashCode() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
hashCode() - Method in class edu.stanford.nlp.ling.BasicDatum
 
hashCode() - Method in class edu.stanford.nlp.ling.IndexedWord
This hashCode uses only the docID, sentenceIndex, and index.
hashCode() - Method in class edu.stanford.nlp.ling.MultiTokenTag
 
hashCode() - Method in class edu.stanford.nlp.ling.MultiTokenTag.Tag
 
hashCode() - Method in class edu.stanford.nlp.ling.RVFDatum
hashCode() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
 
hashCode() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
 
hashCode() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
 
hashCode() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
 
hashCode() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
 
hashCode() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleExpression
 
hashCode() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
 
hashCode() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
 
hashCode() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarAssignmentExpression
 
hashCode() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
 
hashCode() - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
 
hashCode() - Method in class edu.stanford.nlp.ling.ValueLabel
Return the hashCode of the String value providing there is one.
hashCode() - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
hashCode() - Method in class edu.stanford.nlp.ling.WordTag
 
hashCode() - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
 
hashCode() - Method in class edu.stanford.nlp.parser.lexparser.Edge
 
hashCode() - Method in class edu.stanford.nlp.parser.lexparser.Hook
 
hashCode() - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
 
hashCode() - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
hashCode() - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
 
hashCode() - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
 
hashCode() - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
 
hashCode() - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
 
hashCode() - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition
 
hashCode() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition
 
hashCode() - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition
 
hashCode() - Method in class edu.stanford.nlp.patterns.surface.PatternToken
 
hashcode - Variable in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
hashCode() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
hashCode() - Method in class edu.stanford.nlp.patterns.surface.Token
 
hashCode() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
hashCode() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
hashCode() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
Defined on map only.
hashCode() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
 
hashCode() - Method in class edu.stanford.nlp.sequences.Clique
 
hashCode() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns a hashCode which is the underlying Map's hashCode.
hashCode() - Method in class edu.stanford.nlp.stats.Distribution
 
hashCode() - Method in class edu.stanford.nlp.stats.IntCounter
 
hashCode() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
hashCode() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
hashCode() - Method in class edu.stanford.nlp.tagger.maxent.History
 
hashCode() - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
 
hashCode() - Method in class edu.stanford.nlp.time.Timex
 
hashCode() - Method in class edu.stanford.nlp.trees.Constituent
A hashCode for Constituents done by shifting and or'ing for speed.
hashCode() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
 
hashCode() - Method in class edu.stanford.nlp.trees.NamedDependency
 
hashCode() - Method in class edu.stanford.nlp.trees.Tree
Implements a hashCode for Tree's.
hashCode() - Method in class edu.stanford.nlp.trees.TreeGraphNode
 
hashCode() - Method in class edu.stanford.nlp.trees.TypedDependency
 
hashCode() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
hashCode() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
hashCode() - Method in class edu.stanford.nlp.util.ArrayCoreMap
Returns a composite hashCode over all the keys and values currently stored in the map.
hashCode() - Method in class edu.stanford.nlp.util.ArrayMap
 
hashCode() - Method in class edu.stanford.nlp.util.ArrayStringFilter
 
hashCode() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
hashCode() - Method in class edu.stanford.nlp.util.HashableCoreMap
Provides a hash code based on the immutable keys and values provided to the constructor.
hashCode() - Method in class edu.stanford.nlp.util.HashIndex
 
hashCode() - Method in class edu.stanford.nlp.util.Interval
 
hashCode() - Method in class edu.stanford.nlp.util.IntPair
 
hashCode() - Method in class edu.stanford.nlp.util.IntTuple
 
hashCode() - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
 
hashCode() - Method in class edu.stanford.nlp.util.MetaClass
 
hashCode() - Method in class edu.stanford.nlp.util.MutableDouble
 
hashCode() - Method in class edu.stanford.nlp.util.MutableInteger
 
hashCode() - Method in class edu.stanford.nlp.util.MutableLong
 
hashCode() - Method in class edu.stanford.nlp.util.Pair
 
hashCode() - Method in class edu.stanford.nlp.util.Quadruple
 
hashCode() - Method in class edu.stanford.nlp.util.RegexStringFilter
 
hashCode() - Method in class edu.stanford.nlp.util.ScoredComparator
Return the hashCode: there are only two distinct comparators by equals().
hashCode() - Method in class edu.stanford.nlp.util.TreeShapedStack
 
hashCode() - Method in class edu.stanford.nlp.util.Triple
 
hashCode() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
hashCode() - Method in class edu.stanford.nlp.util.TwoDimensionalSet
 
hashCodeCache - Variable in class edu.stanford.nlp.util.ArrayMap
 
HashIndex<E> - Class in edu.stanford.nlp.util
Implements an Index that supports constant-time lookup in both directions (via get(int) and indexOf(E).
HashIndex() - Constructor for class edu.stanford.nlp.util.HashIndex
Creates a new Index.
HashIndex(int) - Constructor for class edu.stanford.nlp.util.HashIndex
Creates a new Index.
HashIndex(Collection<? extends E>) - Constructor for class edu.stanford.nlp.util.HashIndex
Creates a new Index and adds every member of c to it.
HashIndex(Index<? extends E>) - Constructor for class edu.stanford.nlp.util.HashIndex
 
hashMap() - Static method in class edu.stanford.nlp.util.TwoDimensionalMap
 
hashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
Return a MapFactory that returns a HashMap.
hashSet() - Static method in class edu.stanford.nlp.util.TwoDimensionalSet
 
hashSetFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
 
HashSetFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
 
hasImperfectErIrSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
 
hasImperfectSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
 
HasIndex - Interface in edu.stanford.nlp.ling
 
hasInfinite(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
hasInfinitiveSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
 
HasInitial - Interface in edu.stanford.nlp.optimization
Indicates that a function has a method for supplying an intitial value.
HasInterval<E extends Comparable<E>> - Interface in edu.stanford.nlp.util
HasInterval interface
HasLemma - Interface in edu.stanford.nlp.ling
Something that implements the HasLemma interface knows about lemmas.
hasMasculineSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
 
HasMatchingChild(TreebankLanguagePack, String) - Constructor for class edu.stanford.nlp.trees.TreeFilters.HasMatchingChild
 
hasNaN() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
hasNaN() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
hasNaN(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
hasNaN(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
hasNewVals - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
hasNext() - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
hasNext() - Method in class edu.stanford.nlp.objectbank.LineIterator
 
hasNext() - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
hasNext() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables.DataSentsIterator
 
hasNext() - Method in class edu.stanford.nlp.process.AbstractTokenizer
Returns true if this Tokenizer has more elements.
hasNext() - Method in interface edu.stanford.nlp.process.Tokenizer
Returns true if and only if this Tokenizer has more elements.
hasNext() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
 
hasNext() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
 
hasNext() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
 
hasNext() - Method in class edu.stanford.nlp.util.AbstractIterator
hasNext() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
hasNext() - Method in class edu.stanford.nlp.util.ConcatenationIterator
 
hasNext() - Method in class edu.stanford.nlp.util.Execution.LazyFileIterator
 
hasNext() - Method in class edu.stanford.nlp.util.FilteredIterator
 
hasNext() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Returns true if the priority queue is non-empty
hasNext() - Method in class edu.stanford.nlp.util.IterableIterator
 
hasNounSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
HasOffset - Interface in edu.stanford.nlp.ling
Something that implements the HasOffset interface bears a offset reference to the original text
hasOtherChild(int, DependencyTree) - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
HasParent - Interface in edu.stanford.nlp.trees
Only to be implemented by Tree subclasses that actualy keep their parent pointers.
hasParentWithReln(IndexedWord, GrammaticalRelation) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns true if vertex has an incoming relation reln
hasParse() - Method in interface edu.stanford.nlp.parser.KBestViterbiParser
Does the sentence in the last call to parse() have a parse? In theory this method shouldn't be here, but it seemed a convenient place to put it for our more general parser interface.
hasParse() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
hasParse() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
 
hasParse() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
hasParse() - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
 
hasPossiblePlural(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
hasProperty(Properties, String) - Static method in class edu.stanford.nlp.util.PropertiesUtils
Returns true iff the given Properties contains a property with the given key (name), and its value is not "false" or "no" or "off".
hasPunc(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
hasRealSpeakerName() - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
 
HasRegularizerParamRange - Interface in edu.stanford.nlp.optimization
Indicates that an minimizer supports evaluation periodically
hasSplit() - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
HasTag - Interface in edu.stanford.nlp.ling
Something that implements the HasTag interface knows about part-of-speech tags.
hasTag(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
 
hasTime() - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
 
hasTime() - Method in class edu.stanford.nlp.time.SUTime.IsoDateTime
 
hasTime() - Method in class edu.stanford.nlp.time.SUTime.IsoTime
 
hasTime() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
hasTime() - Method in class edu.stanford.nlp.time.SUTime.Time
 
hasValue() - Method in interface edu.stanford.nlp.ling.tokensregex.types.Expression
Returns whether the expression has already been evaluated to a Value
hasValue() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
 
hasValue() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
 
hasValue() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
 
hasValue() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
 
hasVerbFirstPersonPluralSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
 
hasVerbSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
HasWord - Interface in edu.stanford.nlp.ling
Something that implements the HasWord interface knows about words.
hasYYMMDD(ReadablePartial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
hasYYYYMMDD(ReadablePartial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
HaveAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HaveAnnotation
 
haveRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
HdotV - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
HdotVAt(double[], double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
HdotVAt will return the hessian vector product H.v at the point x for a batchSize subset of the data There are several ways to perform this calculation, as of now Finite Difference, and Algorithmic Differentiation are the methods that have been used.
HdotVAt(double[], double[], double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
HdotVAt(double[], double[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
head - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
 
head - Variable in class edu.stanford.nlp.parser.lexparser.Item
 
head() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
header() - Static method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.HistoryEntry
Gets the string header indicating the fields included in a HistoryEntry string representation
headFinder - Variable in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
Finds the syntactic head of a syntactic constituent
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
 
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Returns a ChineseHeadFinder
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
returns a NegraHeadFinder
headFinder() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
headFinder() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
 
HeadFinder - Interface in edu.stanford.nlp.trees
An interface for finding the "head" daughter of a phrase structure tree.
headFinder() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
headFinder() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
The HeadFinder to use for your treebank.
headFinder() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
The HeadFinder to use for your treebank.
headFinder() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
The HeadFinder to use for your treebank.
headIncludes(EntityMention, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
headIndex - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
Head word of the mention
headIndex - Variable in class edu.stanford.nlp.dcoref.Mention
 
headIndexedWord - Variable in class edu.stanford.nlp.dcoref.Mention
 
headMark - Static variable in class edu.stanford.nlp.trees.TreePrint
 
headPreTerminal(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Returns the preterminal tree that is the head of the tree.
heads - Variable in class edu.stanford.nlp.dcoref.CorefCluster
 
headsAgree(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
 
headString - Variable in class edu.stanford.nlp.dcoref.Mention
 
HeadTagAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadTagAnnotation
 
headTagNode() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Return the node containing the head tag for this node (or null if none), as recorded in this node's CoreLabel.
headTerminal(HeadFinder, Tree) - Method in class edu.stanford.nlp.trees.Tree
Returns the tree leaf that is the head of the tree.
headTerminal(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Returns the tree leaf that is the head of the tree.
headWord - Variable in class edu.stanford.nlp.dcoref.Mention
 
HeadWordAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.HeadWordAnnotation
 
headWordNode() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Return the node containing the head word for this node (or null if none), as recorded in this node's CoreLabel.
HeadWordStringAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HeadWordStringAnnotation
 
Heap<E> - Interface in edu.stanford.nlp.util
Heap interface.
HebrewEmptyFilter() - Constructor for class edu.stanford.nlp.trees.international.hebrew.HebrewTreeNormalizer.HebrewEmptyFilter
 
HebrewTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.hebrew
 
HebrewTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
HebrewTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
Initial version of a parser pack for the HTB.
HebrewTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
HebrewTreebankParserParams(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
HebrewTreeNormalizer - Class in edu.stanford.nlp.trees.international.hebrew
 
HebrewTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.hebrew.HebrewTreeNormalizer
 
HebrewTreeNormalizer.HebrewEmptyFilter - Class in edu.stanford.nlp.trees.international.hebrew
Remove traces and pronoun deletion markers.
HebrewTreeReaderFactory - Class in edu.stanford.nlp.trees.international.hebrew
 
HebrewTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.hebrew.HebrewTreeReaderFactory
 
HEIDELTIME_OUTPUT_RESULTS - Static variable in class edu.stanford.nlp.time.HeidelTimeAnnotator
 
HEIDELTIME_PATH_PROPERTY - Static variable in class edu.stanford.nlp.time.HeidelTimeAnnotator
 
HEIDELTIME_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
HeidelTimeAnnotator - Class in edu.stanford.nlp.time
Annotates text using HeidelTime GUTIME/TimeML specifications can be found at: http://www.timeml.org/site/tarsqi/modules/gutime/index.html.
HeidelTimeAnnotator() - Constructor for class edu.stanford.nlp.time.HeidelTimeAnnotator
 
HeidelTimeAnnotator(File) - Constructor for class edu.stanford.nlp.time.HeidelTimeAnnotator
 
HeidelTimeAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.time.HeidelTimeAnnotator
 
height(Tree, FontMetrics) - Static method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
height() - Method in class edu.stanford.nlp.util.IntervalTree
 
height(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
 
HeightAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HeightAnnotation
 
heldOutSetC(GeneralDataset<L, F>, double, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
heldOutSetC(GeneralDataset<L, F>, GeneralDataset<L, F>, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
This method will cross validate on the given data and number of folds to find the optimal C.
heldOutSetSigma(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
heldOutSetSigma(GeneralDataset<L, F>, Scorer<L>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>, Scorer<L>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
heldOutSetSigma(GeneralDataset<L, F>, GeneralDataset<L, F>, Scorer<L>, LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the sigma parameter to a value that optimizes the held-out score given by scorer.
help() - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
 
help() - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
 
help() - Static method in class edu.stanford.nlp.sentiment.SentimentPipeline
 
hiddenLayerOutput(double[][], int[], SeqClassifierFlags, double[]) - Method in class edu.stanford.nlp.ie.crf.NonLinearCliquePotentialFunction
 
hiddenLayerOutput(double[][], int[], SeqClassifierFlags, double[], int) - Method in class edu.stanford.nlp.ie.crf.NonLinearSecondOrderCliquePotentialFunction
 
hiddenSize - Variable in class edu.stanford.nlp.parser.nndep.Config
Size of the neural network hidden layer.
hideAll() - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
Show none of the channels
hideChannels(Object...) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Hide these channels, in addition to anything already hidden by upstream handlers.
hideChannelsEverywhere(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
Hide multiple channels.
hideDebug - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Hide the debug channel only.
hideError - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Hide the error channel only.
hideWarn - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Hide the warning channel only.
highestNodeWithSameHead() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Checks the node's ancestors to find the highest ancestor with the same headWordNode as this node.
HighlightUtils - Class in edu.stanford.nlp.trees.tregex.gui
 
hIndex(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Calculate h-Index (Hirsch, 2005) of an author.
History - Class in edu.stanford.nlp.tagger.maxent
 
HistoryEntry(String, int, int) - Constructor for class edu.stanford.nlp.trees.tregex.gui.InputPanel.HistoryEntry
 
HistoryTable - Class in edu.stanford.nlp.tagger.maxent
Notes: This maintains a two way lookup between a History and an Integer index.
HistoryTable() - Constructor for class edu.stanford.nlp.tagger.maxent.HistoryTable
 
Hook - Class in edu.stanford.nlp.parser.lexparser
Class for parse table hooks.
Hook(boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.Hook
 
Hook(Hook) - Constructor for class edu.stanford.nlp.parser.lexparser.Hook
 
HORIZONTAL_ALIGN - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel
 
host - Static variable in class edu.stanford.nlp.patterns.surface.SQLConnection
 
host - Static variable in class edu.stanford.nlp.util.Execution
 
HOUR - Static variable in class edu.stanford.nlp.time.SUTime
 
hour - Variable in class edu.stanford.nlp.time.SUTime.IsoTime
 
HOURLY - Static variable in class edu.stanford.nlp.time.SUTime
 
howLong() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
Return the time in seconds since this class was created.
HSEL_CUT - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
hSelSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
HTKLatticeReader - Class in edu.stanford.nlp.parser.lexparser
 
HTKLatticeReader(String) - Constructor for class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
HTKLatticeReader(String, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
HTKLatticeReader(String, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
HTKLatticeReader.LatticeWord - Class in edu.stanford.nlp.parser.lexparser
 
HTMLCODE - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
HTTP - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
HUBER_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
HUBER_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
HUBER_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
HUBER_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
 
hybridCutoffIteration - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
HybridMinimizer - Class in edu.stanford.nlp.optimization
Hybrid Minimizer is set up as a combination of two minimizers.
HybridMinimizer(Minimizer<DiffFunction>, Minimizer<DiffFunction>, int) - Constructor for class edu.stanford.nlp.optimization.HybridMinimizer
 
hypergeometric(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Find a hypergeometric distribution.
hyphenData - Static variable in class edu.stanford.nlp.ie.pascal.DefaultTeXHyphenData
 

I

id() - Method in class edu.stanford.nlp.ling.RVFDatum
 
IDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IDAnnotation
 
identifier - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Save this run as ...
IDENTITY_HASH_MAP_FACTORY - Static variable in class edu.stanford.nlp.util.MapFactory
 
IdentityFunction<X> - Class in edu.stanford.nlp.objectbank
An Identity function that returns its argument.
IdentityFunction() - Constructor for class edu.stanford.nlp.objectbank.IdentityFunction
 
identityHashMap() - Static method in class edu.stanford.nlp.util.TwoDimensionalMap
 
identityHashMapCounter() - Static method in class edu.stanford.nlp.stats.ClassicCounter
 
identityHashMapCounter() - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
identityHashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
Return a MapFactory that returns an IdentityHashMap.
IdentityHashSet<E> - Class in edu.stanford.nlp.util
This class provides a IdentityHashMap-backed implementation of the Set interface.
IdentityHashSet() - Constructor for class edu.stanford.nlp.util.IdentityHashSet
Construct a new, empty IdentityHashSet whose backing IdentityHashMap has the default expected maximum size (21);
IdentityHashSet(int) - Constructor for class edu.stanford.nlp.util.IdentityHashSet
Construct a new, empty IdentityHashSet whose backing IdentityHashMap has the specified expected maximum size.
IdentityHashSet(Collection<? extends E>) - Constructor for class edu.stanford.nlp.util.IdentityHashSet
Construct a new IdentityHashSet with the same elements as the supplied Collection (eliminating any duplicates, of course); the backing IdentityHashMap will have the default expected maximum size (21).
IDFAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IDFAnnotation
 
IdleTransition - Class in edu.stanford.nlp.parser.shiftreduce
Transition that literally does nothing
IdleTransition() - Constructor for class edu.stanford.nlp.parser.shiftreduce.IdleTransition
 
IfExpression(Expression, Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.IfExpression
 
ifrf - Variable in class edu.stanford.nlp.objectbank.ObjectBank
 
IGNORE - Static variable in interface edu.stanford.nlp.io.Lexer
 
ignoreCase() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.AbstractStringAnnotationPattern
 
ignoreGender - Variable in class edu.stanford.nlp.dcoref.sievepasses.NameMatch
 
ignorePunctuation - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
ignorePunctuationTokens - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
ignoreWordRegex - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
by default doesn't ignore anything.
imperfectSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
 
improvedIterative() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Iterate until convergence.
improvedIterative(int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Does a fixed number of IIS iterations.
in - Variable in class edu.stanford.nlp.ling.DocumentReader
Reader used to read in document text.
INANIMATE_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
inanimatePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
inanimateWords - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
INAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.INAnnotation
 
include(Map<Pair<Integer, Integer>, String>, Pair<Integer, Integer>, String) - Static method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
 
includeC2EViterbi - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
includedIn(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
Verifies if this mention's tree is dominated by the tree of the given mention
includeExternalFeatures - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
includeFullCRFInLOP - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
includeNested - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
includeNested - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
 
includesBegin() - Method in class edu.stanford.nlp.util.Interval
Returns whether the start endpoint is included in the interval
includesEnd() - Method in class edu.stanford.nlp.util.Interval
Returns whether the end endpoint is included in the interval
includeText - Variable in class edu.stanford.nlp.pipeline.AnnotationOutputter.Options
Should the document text be included as part of the XML output
includeTimexAltValue() - Method in class edu.stanford.nlp.time.SUTime.DurationRange
 
includeTimexAltValue() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
incomingEdgeIterable(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
incomingEdgeIterable(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
incomingEdgeIterator(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
incomingEdgeIterator(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
incomingEdgeList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
increasingLength - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Parse trees in test treebank in order of increasing length.
increment(String, String) - Method in class edu.stanford.nlp.ie.crf.LabelDictionary
Increment counts for an observation/label pair.
incrementBatch(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
incrementBatch will shift the curElement variable to mark the next batch.
incrementCount(E, double) - Method in class edu.stanford.nlp.stats.AbstractCounter
 
incrementCount(E) - Method in class edu.stanford.nlp.stats.AbstractCounter
 
incrementCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Increments the count for the given key by the given value.
incrementCount(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
Increments the count for this key by 1.0.
incrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
Increments the count for the given key by the given value.
incrementCount(E) - Method in interface edu.stanford.nlp.stats.Counter
Increments the count for this key by 1.0.
incrementCount(List<K>, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
equivalent to incrementCount(l,o,1.0).
incrementCount(List<K>, K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
same as incrementCount(List, double) but as if Object o were at the end of the list
incrementCount(List<K>) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount(l, 1.0).
incrementCount(List<K>, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
adds to count for the GeneralizedCounter.depth()-dimensional key l.
incrementCount(E, int) - Method in class edu.stanford.nlp.stats.IntCounter
Adds the given count to the current count for the given key.
incrementCount(E) - Method in class edu.stanford.nlp.stats.IntCounter
Adds 1 to the count for the given key.
incrementCount(E, double) - Method in class edu.stanford.nlp.stats.IntCounter
 
incrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
incrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
incrementCount(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
incrementCount(K1, K2, double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
incrementCount(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
incrementCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
incrementCount(K1, K2, int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
incrementCount1D(K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount1D(o, 1.0).
incrementCount1D(K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to GeneralizedCounter.incrementCount(java.util.List<K>, K)({o}, count); only works for a depth 1 GeneralizedCounter.
incrementCount2D(K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount2D(first,second,1.0).
incrementCount2D(K, K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount( new Object[] { first, second }, count ).
incrementCount3D(K, K, K) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount3D(first,second,1.0).
incrementCount3D(K, K, K, double) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Equivalent to incrementCount( new Object[] { first, second, third }, count ).
incrementCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter
Adds the given count to the current counts for each of the given keys.
incrementCounts(Collection<E>) - Method in class edu.stanford.nlp.stats.IntCounter
Adds 1 to the counts for each of the given keys.
incrementFN() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Adds one to the count of false negatives.
incrementFP() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Adds one to the count of false positives.
incrementRandom(int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
incrementTP() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Adds one to the count of true positives.
incrementTreesRead(double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer
 
incrementTreesRead(double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
incrementTreesRead(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
incrementTreesRead(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
incrementTreesRead(double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
If training on a per-word basis instead of on a per-tree basis, we will want to increment the tree count as this happens.
incrementTreesRead(double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
 
incrementValue(int[], double) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
incrementValue(int, double) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
incrementValue(int[], float) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
incThat() - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
incValue(int) - Method in class edu.stanford.nlp.util.MutableInteger
Add the argument to the value of this integer.
incValue(int) - Method in class edu.stanford.nlp.util.MutableLong
Add the argument to the value of this integer.
indefinitePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
inDegree(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
INDENT_CHAR - Static variable in class edu.stanford.nlp.pipeline.JSONOutputter
 
indentedListPrint() - Method in class edu.stanford.nlp.trees.Tree
Indented list printing of a tree.
indentedListPrint(PrintWriter, boolean) - Method in class edu.stanford.nlp.trees.Tree
Indented list printing of a tree.
indentedXMLPrint() - Method in class edu.stanford.nlp.trees.Tree
Indented xml printing of a tree.
indentedXMLPrint(PrintWriter, boolean) - Method in class edu.stanford.nlp.trees.Tree
Indented xml printing of a tree.
index() - Method in class edu.stanford.nlp.ling.CoreLabel
index() - Method in interface edu.stanford.nlp.ling.HasIndex
 
index() - Method in class edu.stanford.nlp.ling.IndexedWord
 
index - Variable in class edu.stanford.nlp.ling.MultiTokenTag
 
Index() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
index() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Get the index for the current node.
Index<E> - Interface in edu.stanford.nlp.util
A collection that maps between a vocabulary of type E and a continuous non-negative integer index series beginning (inclusively) at 0.
index - Variable in class edu.stanford.nlp.util.StringParsingTask
 
IndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation
 
IndexedExpression(Expression, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.IndexedExpression
 
indexedValues - Variable in class edu.stanford.nlp.maxent.Feature
This will contain the (x,y) pairs for which the feature is non-zero in case it is sparse.
IndexedWord - Class in edu.stanford.nlp.ling
This class is mainly for use with RTE in terms of the methods it provides, but on a more general level, it provides a CoreLabel that uses its DocIDAnnotation, SentenceIndexAnnotation, and IndexAnnotation to implement Comparable/compareTo, hashCode, and equals.
IndexedWord() - Constructor for class edu.stanford.nlp.ling.IndexedWord
Default constructor; uses CoreLabel default constructor
IndexedWord(Label) - Constructor for class edu.stanford.nlp.ling.IndexedWord
Copy Constructor - relies on CoreLabel copy constructor It will set the value, and if the word is not set otherwise, set the word to the value.
IndexedWord(CoreLabel) - Constructor for class edu.stanford.nlp.ling.IndexedWord
Construct an IndexedWord from a CoreLabel just as for a CoreMap.
IndexedWord(String, int, int) - Constructor for class edu.stanford.nlp.ling.IndexedWord
Constructor for setting docID, sentenceIndex, and index without any other annotations.
indexLeaves() - Method in class edu.stanford.nlp.trees.Tree
Assign sequential integer indices to the leaves of the tree rooted at this Tree, starting with 1.
indexLeaves(boolean) - Method in class edu.stanford.nlp.trees.Tree
Index the leaves, and optionally overwrite existing IndexAnnotations if they exist.
indexLeaves(int, boolean) - Method in class edu.stanford.nlp.trees.Tree
Assign sequential integer indices to the leaves of the subtree rooted at this Tree, beginning with startIndex, and traversing the leaves from left to right.
indexOf(int, int) - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
indexOf(int, int) - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
 
indexOf(int, int) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Converts a Phi feature number and class index into an f(x,y) feature index.
indexOf(int, int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
indexOf(Object) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
indexOf(E) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
indexOf(E, boolean) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
Deprecated.
indexOf(E) - Method in class edu.stanford.nlp.util.DeltaIndex
 
indexOf(E, boolean) - Method in class edu.stanford.nlp.util.DeltaIndex
Deprecated.
indexOf(E) - Method in class edu.stanford.nlp.util.HashIndex
Returns the integer index of the Object in the Index or -1 if the Object is not already in the Index.
indexOf(E, boolean) - Method in class edu.stanford.nlp.util.HashIndex
Deprecated.
indexOf(E) - Method in interface edu.stanford.nlp.util.Index
Returns the integer index of the Object in the Index or -1 if the Object is not already in the Index.
indexOf(E, boolean) - Method in interface edu.stanford.nlp.util.Index
Deprecated.
You should use either the addToIndex(E) or indexOf(E) methods instead
indexOfRelativeIndex(int) - Method in class edu.stanford.nlp.sequences.Clique
For a particular relative index, returns which element in the Clique it is.
indexSpans() - Method in class edu.stanford.nlp.trees.Tree
 
indexSpans(int) - Method in class edu.stanford.nlp.trees.Tree
 
indexSpans(MutableInteger) - Method in class edu.stanford.nlp.trees.Tree
Assigns span indices (BeginIndexAnnotation and EndIndexAnnotation) to all nodes in a tree.
indexToBinaryScore(int) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
indexToBinaryTransform(int) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
indexToUnaryScore(int) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
indexToUnaryTransform(int) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
indices(Collection<E>) - Method in class edu.stanford.nlp.util.HashIndex
Returns the index of each elem in a List.
INDIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "indirect object" grammatical relation.
INDIRECT_OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "indirect object" (iobj) grammatical relation.
InefficientSGDMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
Stochastic Gradient Descent Minimizer.
InefficientSGDMinimizer() - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
InefficientSGDMinimizer(double, int) - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
InefficientSGDMinimizer(double, int, int) - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
InefficientSGDMinimizer(double, int, int, boolean) - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
InefficientSGDMinimizer(double, int, int, long) - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
InefficientSGDMinimizer(double, int, int, long, boolean) - Constructor for class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
InexactDuration(ReadablePeriod) - Constructor for class edu.stanford.nlp.time.SUTime.InexactDuration
 
InexactDuration(SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.InexactDuration
 
InexactDuration(SUTime.Duration, ReadablePeriod) - Constructor for class edu.stanford.nlp.time.SUTime.InexactDuration
 
InexactTime(Partial) - Constructor for class edu.stanford.nlp.time.SUTime.InexactTime
 
InexactTime(SUTime.Time, SUTime.Duration, SUTime.Range) - Constructor for class edu.stanford.nlp.time.SUTime.InexactTime
 
InexactTime(SUTime.InexactTime, SUTime.Time, SUTime.Duration, SUTime.Range) - Constructor for class edu.stanford.nlp.time.SUTime.InexactTime
 
InexactTime(SUTime.Range) - Constructor for class edu.stanford.nlp.time.SUTime.InexactTime
 
inferenceType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
infinitiveSuffix(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishUnknownWordSignatures
 
inFlow(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
info - Variable in class edu.stanford.nlp.util.logging.OutputHandler
The current track info; used to avoid trackStack.peek() calls
infoFile - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
init(List<Pair<Double, Integer>>) - Method in class edu.stanford.nlp.classify.PRCurve
 
init(Properties) - Method in class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve
 
init(Properties) - Method in class edu.stanford.nlp.dcoref.sievepasses.NameMatch
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
Required, but unused.
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
 
init(String, String, boolean) - Static method in class edu.stanford.nlp.ling.BasicDocument
Inits a new BasicDocument with the given text contents and title.
init(String, String) - Static method in class edu.stanford.nlp.ling.BasicDocument
Calls init(text,title,true)
init(String, boolean) - Static method in class edu.stanford.nlp.ling.BasicDocument
Calls init(text,null,keepOriginalText)
init(String) - Static method in class edu.stanford.nlp.ling.BasicDocument
Calls init(text,null,true)
init() - Static method in class edu.stanford.nlp.ling.BasicDocument
Calls init((String)null,null,true)
init(Reader, String, boolean) - Static method in class edu.stanford.nlp.ling.BasicDocument
Inits a new BasicDocument by reading in the text from the given Reader.
init(Reader, String) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textReader,title,true)
init(Reader, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textReader,null,keepOriginalText)
init(Reader) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textReader,null,true)
init(File, String, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Inits a new BasicDocument by reading in the text from the given File.
init(File, String) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textFile,title,true)
init(File, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textFile,textFile.getCanonicalPath(),keepOriginalText)
init(File) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textFile,textFile.getCanonicalPath(),true)
init(URL, String, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Constructs a new BasicDocument by reading in the text from the given URL.
init(URL, String) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textURL,title,true)
init(URL, boolean) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textURL,textFile.toExternalForm(),keepOriginalText)
init(URL) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(textURL,textURL.toExternalForm(),true)
init(List<? extends Word>, String) - Method in class edu.stanford.nlp.ling.BasicDocument
Inits a new BasicDocument with the given list of words and title.
init(List<? extends Word>) - Method in class edu.stanford.nlp.ling.BasicDocument
Calls init(words,null)
init(String, Properties) - Method in interface edu.stanford.nlp.ling.tokensregex.Env.Binder
 
init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
init(AbstractStochasticCachingDiffUpdateFunction) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SQNMinimizer
 
init(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
init() - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
 
init(String) - Method in class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
init(SeqClassifierFlags) - Method in interface edu.stanford.nlp.sequences.DocumentReaderAndWriter
This will be called immediately after construction.
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.FeatureFactory
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
init(SeqClassifierFlags, TokenizerFactory<IN>) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter
 
init() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
init(String, Properties) - Method in class edu.stanford.nlp.time.JollyDayHolidays
 
init(String, Properties) - Method in interface edu.stanford.nlp.time.TimeExpressionExtractor
 
init(Options) - Method in interface edu.stanford.nlp.time.TimeExpressionExtractor
 
init(String, Properties) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
 
init(Options) - Method in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.wordseg.ChineseSegmenterFeatureFactory
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.wordseg.Gale2007ChineseSegmenterFeatureFactory
 
init(SeqClassifierFlags) - Method in class edu.stanford.nlp.wordseg.Sighan2005DocumentReaderAndWriter
 
initDefaultBindings() - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
initEnv(Env) - Static method in class edu.stanford.nlp.ie.NumberNormalizer
 
initEVALBfiles(TreebankLangParserParams) - Static method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
 
initFiles(TreebankLangParserParams, String, String) - Method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
 
initFiles(TreebankLangParserParams, String) - Method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
 
initGazette() - Method in class edu.stanford.nlp.ie.NERFeatureFactory
 
initHashVals() - Method in class edu.stanford.nlp.maxent.Feature
Creates a HashMap with keys indices from pairs (x,y) and values the value of the function at the pair; required for use of getVal(x,y)
initial() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
initial(boolean) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
initial(Random) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
initial() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
 
initial() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
initial() - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
 
initial() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
initial() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
initial() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
initial() - Method in interface edu.stanford.nlp.optimization.HasFloatInitial
Returns the intitial point in the domain (but not necessarily a feasible one).
initial() - Method in interface edu.stanford.nlp.optimization.HasInitial
Returns the intitial point in the domain (but not necessarily a feasible one).
initialAdagradWeight - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
The value to set the learning rate for each parameter when initializing adagrad.
initialConfiguration(CoreMap) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
 
initialConfiguration(CoreMap) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
Build an initial parser configuration from the given sentence.
initialGain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
initialize(int) - Method in class edu.stanford.nlp.classify.Dataset
 
initialize(int) - Method in class edu.stanford.nlp.classify.GeneralDataset
This method takes care of resetting values of the dataset such that it is empty with an initial capacity of numDatums.
initialize(int) - Method in class edu.stanford.nlp.classify.RVFDataset
 
initialize() - Method in class edu.stanford.nlp.dcoref.Document
Document initialize
initialize(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
initializeAndRunCoref(Properties) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
Returns the name of the log file that this method writes.
initializePossibles() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
These arrays are used by the factored parser (only) during edge combination.
initializeScorer() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
initializeTraining(double) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
 
initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer
 
initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModelTrainer
 
initializeTraining(double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModelTrainer
 
initializeTraining(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
initializeTraining(double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModelTrainer
 
initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModelTrainer
 
initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModelTrainer
 
initializeTraining(double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Start training this lexicon on the expected number of trees.
initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in class edu.stanford.nlp.parser.lexparser.SpanishUnknownWordModelTrainer
 
initializeTraining(Options, Lexicon, Index<String>, Index<String>, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
Initialize the trainer with a few of the data structures it needs to train.
initializeTraining(double) - Method in interface edu.stanford.nlp.process.WordSegmenter
 
initializeUtterance(List<CoreLabel>) - Static method in class edu.stanford.nlp.dcoref.MentionExtractor
 
initialLopScales - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
initialLopWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
initialState() - Method in class edu.stanford.nlp.fsm.DFSA
 
initialStateFromGoldTagTree(Tree) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
initialStateFromTaggedSentence(List<? extends HasWord>) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
initialWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
initLexicon(String) - Static method in class edu.stanford.nlp.tagger.maxent.Distsim
 
initMC(ArrayList<Triple<Double, Integer, Integer>>) - Method in class edu.stanford.nlp.classify.PRCurve
 
initMC(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
initRange - Variable in class edu.stanford.nlp.parser.nndep.Config
Model weights will be initialized to random values within the range [-initRange, initRange].
initRate - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
initRate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
initRulesWithWord() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
initRulesWithWord() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
Rule table is lemmas!
initScorers() - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
initTagBins() - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
initViterbi - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
initWithNERPosterior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
initWithPosterior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
innerProduct(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
innerProduct(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
input() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
inputEncoding - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
inputEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
InputPanel - Class in edu.stanford.nlp.trees.tregex.gui
Class representing the panel that gets input from the user and does (in a thread-safe manner) the computation for finding tree matches and performing tsurgeon operations.
InputPanel.HistoryEntry - Class in edu.stanford.nlp.trees.tregex.gui
Simple class for storing history objects that go nicely into a toString for saving
InputPanel.TRegexGUITreeVisitor - Class in edu.stanford.nlp.trees.tregex.gui
 
inputPrior - Variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
InputSplittingProcessor() - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.InputSplittingProcessor
 
inputStreamFromFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
Quietly opens a File.
ins - Variable in class edu.stanford.nlp.wordseg.affDict
 
insertCost(Object) - Method in class edu.stanford.nlp.util.EditDistance
 
insertDtr(Tree, int) - Method in class edu.stanford.nlp.trees.Tree
insert dtr after position existing daughters in this.
insertModifierWildcard - Static variable in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
insideIn(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
 
instanceIndex - Variable in class edu.stanford.nlp.maxent.Feature
 
INSTANT_ZERO - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
intArrToByteArr(int[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
intArrToByteArr(int[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
intArrToByteArr(byte[], int, int[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
IntCounter<E> - Class in edu.stanford.nlp.stats
A specialized kind of hash table (or map) for storing numeric counts for objects.
IntCounter() - Constructor for class edu.stanford.nlp.stats.IntCounter
Constructs a new (empty) Counter.
IntCounter(MapFactory<E, MutableInteger>) - Constructor for class edu.stanford.nlp.stats.IntCounter
Pass in a MapFactory and the map it vends will back your counter.
IntCounter(IntCounter<E>) - Constructor for class edu.stanford.nlp.stats.IntCounter
Constructs a new Counter with the contents of the given Counter.
IntDependency - Class in edu.stanford.nlp.parser.lexparser
Maintains a dependency between head and dependent where they are each an IntTaggedWord.
IntDependency(IntTaggedWord, IntTaggedWord, boolean, int) - Constructor for class edu.stanford.nlp.parser.lexparser.IntDependency
 
IntDependency(int, int, int, int, boolean, int) - Constructor for class edu.stanford.nlp.parser.lexparser.IntDependency
 
IntegerAnnotationPattern(int) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.IntegerAnnotationPattern
 
IntegerToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
interimOutputFreq - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
IntermediateEdge(String, int, int, int, int, boolean) - Constructor for class edu.stanford.nlp.pipeline.AnnotationSerializer.IntermediateEdge
 
IntermediateNode(String, int, int, int, boolean) - Constructor for class edu.stanford.nlp.pipeline.AnnotationSerializer.IntermediateNode
 
intermediateSegmenterModel - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
intermediateSegmenterOut - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
IntermediateSemanticGraph() - Constructor for class edu.stanford.nlp.pipeline.AnnotationSerializer.IntermediateSemanticGraph
 
IntermediateSemanticGraph(List<AnnotationSerializer.IntermediateNode>, List<AnnotationSerializer.IntermediateEdge>) - Constructor for class edu.stanford.nlp.pipeline.AnnotationSerializer.IntermediateSemanticGraph
 
intern - Variable in class edu.stanford.nlp.classify.LinearClassifier
 
intern(IntTaggedWord, IntTaggedWord, boolean, short) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
This is a custom interner that simultaneously creates and interns an IntDependency.
intern - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
intern(T) - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
Returns a unique object o' that .equals the argument o.
intern(T) - Method in class edu.stanford.nlp.util.Interner
Returns a unique object o' that .equals the argument o.
intern2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
internAll(Set<T>) - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
Returns a Set such that each element in the returned set is a unique object e' that .equals the corresponding element e in the original set.
internAll(Set<T>) - Method in class edu.stanford.nlp.util.Interner
Returns a Set such that each element in the returned set is a unique object e' that .equals the corresponding element e in the original set.
internedStringPair(String, String) - Static method in class edu.stanford.nlp.util.Pair
Returns an MutableInternedPair where the Strings have been interned.
interner - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
interner - Static variable in class edu.stanford.nlp.sequences.Clique
 
interner - Static variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
 
Interner<T> - Class in edu.stanford.nlp.util
For interning (canonicalizing) things.
Interner() - Constructor for class edu.stanford.nlp.util.Interner
 
interner - Static variable in class edu.stanford.nlp.util.Interner
 
interp - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Interpolation between model that directly predicts aTW and model that predicts aT and then aW given aT.
InterpretationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.InterpretationAnnotation
 
InterruptibleMulticoreWrapper<I,O> - Class in edu.stanford.nlp.util.concurrent
 
InterruptibleMulticoreWrapper(int, ThreadsafeProcessor<I, O>, boolean, long) - Constructor for class edu.stanford.nlp.util.concurrent.InterruptibleMulticoreWrapper
 
intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
 
intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
 
intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.Duration
 
intersect(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
 
intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
 
intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
 
intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
 
intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.OrdinalTime
 
intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
 
intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.Range
 
intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
 
intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
 
intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
intersect(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.Time
 
intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Time
 
intersect(SUTime.Time, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
 
intersect(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
 
intersect(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
Returns interval that is the intersection of this and the other interval Returns null if intersect is null
intersection(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a counter that is the intersection of c1 and c2.
intersection(Set<T>, Set<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
intersection(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
Returns the intersection of sets s1 and s2.
IntersectMultiNodePattern(List<MultiNodePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiNodePattern.IntersectMultiNodePattern
 
intersects(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
Returns true if there is at least element that is in both s1 and s2.
Interval<E extends Comparable<E>> - Class in edu.stanford.nlp.util
Represents a interval of a generic type E that is comparable.
Interval(E, E, int) - Constructor for class edu.stanford.nlp.util.Interval
 
Interval.RelType - Enum in edu.stanford.nlp.util
RelType gives the basic types of relations between two intervals
INTERVAL_OPEN_BEGIN - Static variable in class edu.stanford.nlp.util.Interval
Flag indicating that an interval's begin point is not inclusive (by default, begin points are inclusive)
INTERVAL_OPEN_END - Static variable in class edu.stanford.nlp.util.Interval
Flag indicating that an interval's end point is not inclusive (by default, begin points are inclusive)
IntervalTree<E extends Comparable<E>,T extends HasInterval<E>> - Class in edu.stanford.nlp.util
An interval tree maintains a tree so that all intervals to the left start before current interval and all intervals to the right start after.
IntervalTree() - Constructor for class edu.stanford.nlp.util.IntervalTree
 
IntervalTree.TreeNode<E extends Comparable<E>,T extends HasInterval<E>> - Class in edu.stanford.nlp.util
 
IntPair - Class in edu.stanford.nlp.util
 
IntPair() - Constructor for class edu.stanford.nlp.util.IntPair
 
IntPair(int, int) - Constructor for class edu.stanford.nlp.util.IntPair
 
intPow(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Exponentiation like we learned in grade school: multiply b by itself e times.
intPow(float, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Exponentiation like we learned in grade school: multiply b by itself e times.
intPow(double, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Exponentiation like we learned in grade school: multiply b by itself e times.
IntQuadruple - Class in edu.stanford.nlp.util
 
IntQuadruple() - Constructor for class edu.stanford.nlp.util.IntQuadruple
 
IntQuadruple(int, int, int, int) - Constructor for class edu.stanford.nlp.util.IntQuadruple
 
IntTaggedWord - Class in edu.stanford.nlp.parser.lexparser
Represents a WordTag (in the sense that equality is defined on both components), where each half is represented by an int indexed by a Index.
IntTaggedWord(int, int) - Constructor for class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
IntTaggedWord(String, char, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.IntTaggedWord
Creates an IntTaggedWord given by the String representation of the form <word>|<tag*gt;
IntTaggedWord(String, String, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.IntTaggedWord
Creates an IntTaggedWord given by the tagString and wordString
IntTriple - Class in edu.stanford.nlp.util
 
IntTriple() - Constructor for class edu.stanford.nlp.util.IntTriple
 
IntTriple(int, int, int) - Constructor for class edu.stanford.nlp.util.IntTriple
 
IntTuple - Class in edu.stanford.nlp.util
A tuple of int.
IntTuple(int[]) - Constructor for class edu.stanford.nlp.util.IntTuple
 
IntTuple(int) - Constructor for class edu.stanford.nlp.util.IntTuple
 
IntUni - Class in edu.stanford.nlp.util
Just a single integer
IntUni() - Constructor for class edu.stanford.nlp.util.IntUni
 
IntUni(int) - Constructor for class edu.stanford.nlp.util.IntUni
 
intValue() - Method in class edu.stanford.nlp.math.DoubleAD
 
intValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
intValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
intValue() - Method in class edu.stanford.nlp.util.MutableLong
 
InvalidElementException(String) - Constructor for exception edu.stanford.nlp.math.ArrayMath.InvalidElementException
 
invert(Map<X, Y>) - Static method in class edu.stanford.nlp.util.Maps
Inverts a map x->y to a map y->x assuming unique preimages.
invertedIndex - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
InvertedIndexByTokens - Class in edu.stanford.nlp.patterns.surface
Creates an inverted index of (classkey:value) => {sentid1,sentid2,..
InvertedIndexByTokens(Properties, Set<String>, Function<CoreLabel, Map<String, String>>) - Constructor for class edu.stanford.nlp.patterns.surface.InvertedIndexByTokens
 
InvertedIndexByTokens(Properties, Set<String>, Function<CoreLabel, Map<String, String>>, Map<String, Set<String>>) - Constructor for class edu.stanford.nlp.patterns.surface.InvertedIndexByTokens
 
invertedIndexClass - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
invertedIndexDirectory - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Where the inverted index (either in memory or lucene) is stored
invertSet(Map<X, Y>) - Static method in class edu.stanford.nlp.util.Maps
Inverts a map x->y to a map y->pow(x) not assuming unique preimages.
iobTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
IOBToString(List<CoreLabel>, String, String) - Static method in class edu.stanford.nlp.international.arabic.process.IOBUtils
Convert a list of labeled characters to a String.
IOBToString(List<CoreLabel>, String) - Static method in class edu.stanford.nlp.international.arabic.process.IOBUtils
Convert a list of labeled characters to a String.
IOBToString(List<CoreLabel>) - Static method in class edu.stanford.nlp.international.arabic.process.IOBUtils
Convert a list of labeled characters to a String.
IOBUtils - Class in edu.stanford.nlp.international.arabic.process
A class for converting strings to input suitable for processing by an IOB sequence model.
iobWrapper - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
IOUtils - Class in edu.stanford.nlp.io
Helper Class for various I/O related things.
iPossible(Hook) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
 
iPossible(Hook) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
iPossible(Hook) - Method in interface edu.stanford.nlp.parser.lexparser.Scorer
 
iPossibleByL - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
iPossibleByR - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
iPossibleL(int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
iPossibleR(int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
isAccepting() - Method in class edu.stanford.nlp.fsm.DFSAState
 
isAcronym(List<CoreLabel>, List<CoreLabel>) - Static method in class edu.stanford.nlp.dcoref.Rules
 
isAcronym(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
isAcronym(String) - Static method in class edu.stanford.nlp.util.StringUtils
Given a String the method uses Regex to check if the String looks like an acronym
isActive(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
isActive() - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
 
isAdjectivalDemonym(String) - Method in class edu.stanford.nlp.dcoref.Dictionaries
Returns whether this mention (possibly multi-word) is the adjectival form of a demonym, like "African" or "Iraqi".
isAfter(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
Returns true if this span starts after the otherSpan's end.
isAfter(String) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
Returns true if this date instance is after the given dateString.
isAllCaps(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
isAlpha(String) - Static method in class edu.stanford.nlp.util.StringUtils
Given a String the method uses Regex to check if the String only contains alphabet characters
isAlphaBalanced(IntervalTree.TreeNode<E, T>, double) - Method in class edu.stanford.nlp.util.IntervalTree
 
isAlphanumeric(String) - Static method in class edu.stanford.nlp.util.StringUtils
Given a String the method uses Regex to check if the String only contains alphanumeric characters
isAmbiguous(String) - Static method in class edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator
Determine if the given pronoun can have multiple senses.
isAncestor(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Searches up to 2 levels to determine how far ancestor is from child (i.e., returns 1 if "ancestor" is a parent, or 2 if ancestor is a grandparent.
isAncestor(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
Returns whether this is equal to or an ancestor of gr in the grammatical relations hierarchy.
isApplicable(Tree) - Method in class edu.stanford.nlp.trees.GrammaticalRelation
Returns true iff the value of Tree node t matches the sourcePattern for this GrammaticalRelation, indicating that this GrammaticalRelation is one that could hold between Tree node t and some other node.
isApposition(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
Check apposition
isApposition(int, int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
isApprox() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
isASCII(String) - Static method in class edu.stanford.nlp.patterns.surface.CreatePatterns
 
isAuxiliaryVerb(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns true iff this vertex stands in the "aux" relation to (any of) its parent(s).
isBefore(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
Returns true if this span ends before the otherSpan starts.
isBinarized() - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
 
isBreaking(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
isBreaking(XMLUtils.XMLTag) - Static method in class edu.stanford.nlp.util.XMLUtils
 
isCapitalized(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
isCapitalized(String) - Static method in class edu.stanford.nlp.util.StringUtils
Check if a string begins with an uppercase.
isChunk(LabeledChunkIdentifier.LabelTagType) - Static method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
isChunkHead(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
isClosed(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
isCloseTo(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
 
isComparable(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
 
isComparable(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Time
 
isComparable(T) - Method in interface edu.stanford.nlp.util.FuzzyInterval.FuzzyComparable
Returns whether this object is comparable with another object
isCompatible(Mention, Mention) - Method in interface edu.stanford.nlp.dcoref.MentionMatcher
Determines if two mentions are compatible
isCompatible(String, String) - Static method in class edu.stanford.nlp.ie.pascal.ISODateInstance
Returns true iff date1 could represent the same value as date2 e.g.
isCompatible(String, E, E) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
 
isCompatible(Partial, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
isCompatible(SUTime.PartialTime) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
isCompatibleDate(ISODateInstance) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
 
isComposite - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
 
isConnected(Collection<TypedDependency>) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
Checks if all the typeDependencies are connected
isConstrained(String) - Method in class edu.stanford.nlp.ie.crf.LabelDictionary
True if this observation is constrained, and false otherwise.
isContinuable() - Method in class edu.stanford.nlp.fsm.DFSAState
 
isControl(char) - Static method in class edu.stanford.nlp.util.Characters
Returns true if a character is a control character, and false otherwise.
isCoordinated() - Method in class edu.stanford.nlp.dcoref.Mention
 
iScore(Edge) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
 
iScore - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
iScore(Edge) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
iScore - Variable in class edu.stanford.nlp.parser.lexparser.Item
 
iScore(Edge) - Method in interface edu.stanford.nlp.parser.lexparser.Scorer
 
isDag() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
isDangerous(double) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns true if the argument is a "dangerous" double to have around, namely one that is infinite, NaN or zero.
IsDateRangeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsDateRangeAnnotation
 
isDayCompatible(ISODateInstance) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
Looks if the days for the two dates are compatible.
isDecimalInteger(String) - Static method in class edu.stanford.nlp.math.NumberMatchingRegex
Tests to see if an integer is a decimal integer, perhaps starting with +/-.
isDefaultExtractorPresent() - Static method in class edu.stanford.nlp.time.TimeExpressionExtractorFactory
 
isDemonym(Mention, Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
 
isDigit(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
isDigitSeq(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
isDirectObject - Variable in class edu.stanford.nlp.dcoref.Mention
 
isDot(char) - Method in class edu.stanford.nlp.util.StringParsingTask
 
isDouble(String) - Static method in class edu.stanford.nlp.math.NumberMatchingRegex
Returns true if the number can be successfully parsed by Double.
isDynamic() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
 
isDynamic() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsim
 
isDynamic() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsimConjunction
 
isEdge(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
only checks if there is an edge from source to dest.
isEdge(V, V) - Method in interface edu.stanford.nlp.graph.Graph
only checks if there is an edge from source to dest.
isEdge() - Method in class edu.stanford.nlp.parser.lexparser.Edge
 
isEdge() - Method in class edu.stanford.nlp.parser.lexparser.Item
 
isEmail(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
isEmpty() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
False if there are any vertices in the graph, true otherwise.
isEmpty() - Method in interface edu.stanford.nlp.graph.Graph
False if there are any vertices in the graph, true otherwise.
isEmpty() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
isEmpty() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
isEmpty() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
isEmpty() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
 
isEmpty() - Method in class edu.stanford.nlp.objectbank.ObjectBank
 
isEmpty() - Method in class edu.stanford.nlp.patterns.surface.Token
 
isEmpty() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
isEmpty() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
isEmpty() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns whether a Counter has no keys in it.
isEmpty() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns true if nothing has a count.
isEmpty() - Method in class edu.stanford.nlp.stats.IntCounter
 
isEmpty() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
isEmpty() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
isEmpty() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
isEmpty() - Method in class edu.stanford.nlp.trees.tregex.gui.FilePanel
Returns true if no files are loaded; false otherwise
isEmpty() - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
Returns true if the root has no children; false otherwise
isEmpty() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
Determine whether any trees are in the matches panel at this time
isEmpty() - Method in class edu.stanford.nlp.util.ArrayHeap
Checks if the heap is empty.
isEmpty() - Method in class edu.stanford.nlp.util.ArrayMap
 
isEmpty() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Checks if the queue is empty.
isEmpty() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
isEmpty() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
isEmpty() - Method in class edu.stanford.nlp.util.DeltaIndex
 
isEmpty() - Method in interface edu.stanford.nlp.util.Heap
Returns true iff the heap is empty.
isEmpty() - Method in class edu.stanford.nlp.util.IdentityHashSet
Returns true if this set contains no elements.
isEmpty() - Method in class edu.stanford.nlp.util.IntervalTree
 
isEmpty() - Method in class edu.stanford.nlp.util.IntervalTree.TreeNode
 
isEmpty() - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
isEmpty() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
isEmpty() - Method in class edu.stanford.nlp.util.TwoDimensionalSet
 
isEnd() - Method in class edu.stanford.nlp.ling.MultiTokenTag
 
isEndOfChunk(String, String, String, String) - Static method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
Returns whether a chunk ended between the previous and current token
isEndOfChunk(LabeledChunkIdentifier.LabelTagType, LabeledChunkIdentifier.LabelTagType) - Static method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
Returns whether a chunk ended between the previous and current token
isEndTag - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
isEOF - Variable in class edu.stanford.nlp.util.StringParsingTask
 
isEOF() - Method in class edu.stanford.nlp.util.StringParsingTask
 
isEol(String) - Method in class edu.stanford.nlp.process.TokenizerAdapter
Say whether the String is the end-of-line token for this tokenizer.
isEvalBIgnoredPunctuationTag(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Accepts a String that is a punctuation tag that should be ignored by EVALB-style evaluation, and rejects everything else.
isEvalBIgnoredPunctuationTag(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
Accepts a String that is a punctuation tag that should be ignored by EVALB-style evaluation, and rejects everything else.
isEvalBIgnoredPunctuationTag(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Accepts a String that is a punctuation tag that should be ignored by EVALB-style evaluation, and rejects everything else.
isEvalGF() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
isExtra() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
isFinished() - Method in class edu.stanford.nlp.parser.shiftreduce.State
 
isFirstName(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
isForeign(String) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
isFromString() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
This function is used to determine whether the GrammaticalRelation in question is one that was created to be a thin wrapper around a String representation by valueOf(String), or whether it is a full-fledged GrammaticalRelation created by direct invocation of the constructor.
isFuzzyMatch(String, String, int) - Static method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
isGrounded() - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
 
isGrounded() - Method in class edu.stanford.nlp.time.SUTime.Duration
 
isGrounded() - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
 
isGrounded() - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
 
isGrounded() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
isGrounded() - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
 
isGrounded() - Method in class edu.stanford.nlp.time.SUTime.Range
 
isGrounded() - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
 
isGrounded() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
isGrounded() - Method in class edu.stanford.nlp.time.SUTime.Time
 
isIgnoreProvidedTag() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
isIncludeNested() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
isIncompatible(CorefCluster, CorefCluster) - Method in class edu.stanford.nlp.dcoref.Document
 
isIncompatible(Mention, Mention) - Method in class edu.stanford.nlp.dcoref.Document
 
isInConditionalContext(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Check if the vertex is in a "conditional" context.
isIndirectObject - Variable in class edu.stanford.nlp.dcoref.Mention
 
isInHighlight(MouseEvent, JTextField, Highlighter) - Static method in class edu.stanford.nlp.trees.tregex.gui.HighlightUtils
Returns true if the given mouse event occurred within a highlight h on label.
isInteger(Number) - Static method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
isIntervalComparable(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
Checks whether this interval is comparable with another interval comes before or after
isKnown(int) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Checks whether a word is in the lexicon.
isKnown(String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Checks whether a word is in the lexicon.
isKnown(int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
isKnown(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
isKnown(int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
isKnown(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
isKnown(int) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Checks whether a word is in the lexicon.
isKnown(String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Checks whether a word is in the lexicon.
isLabelAnnotationIntroducingCharacter(char) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Say whether this character is an annotation introducing character.
isLabelAnnotationIntroducingCharacter(char) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
Say whether this character is an annotation introducing character.
isLabelAnnotationIntroducingCharacter(char) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZHeadFinder
Say whether this character is an annotation introducing character.
isLabelAnnotationIntroducingCharacter(char) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Say whether this character is an annotation introducing character.
isLastName(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
isLeaf() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
isLeaf() - Method in class edu.stanford.nlp.trees.Tree
Says whether a node is a leaf.
isLeaf(Object) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
isLeaveGF() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
 
isLeaveGF() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
 
isLeftParen(char) - Method in class edu.stanford.nlp.util.StringParsingTask
 
isLegal(State, List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
Legal as long as there are at least two items on the state's stack.
isLegal(State, List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
Legal as long as there is at least one item on the state's stack and that item has not already been unary transformed.
isLegal(State, List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
 
isLegal(State, List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition
Legal only if the state is already finished
isLegal(State, List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition
Shifting is legal as long as the state is not finished and there are more items on the queue to be shifted.
isLegal(State, List<ParserConstraint>) - Method in interface edu.stanford.nlp.parser.shiftreduce.Transition
Whether or not it is legal to apply this transition to this state.
isLegal(State, List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition
Legal as long as there is at least one item on the state's stack.
isLetterASCII(char) - Static method in class edu.stanford.nlp.wordseg.ChineseStringUtils
 
isLimitedGF() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
 
isListMemberOf(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
Check list member? True if this mention is inside the other mention and the other mention is a list
isLocal() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
 
isLocal() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsim
 
isLocal() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsimConjunction
 
isLocation(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
isLocked() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
isLocked() - Method in class edu.stanford.nlp.util.DeltaIndex
 
isLocked() - Method in class edu.stanford.nlp.util.HashIndex
Queries the Index for whether it's locked or not.
isLocked() - Method in interface edu.stanford.nlp.util.Index
Queries the Index for whether it's locked or not.
isLonger(PhraseTable.Phrase) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
 
isMacOSX() - Static method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
 
isMatchWithResult() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
isMemberOfSameList(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
 
isMonthCompatible(ISODateInstance) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
Looks if the months for the two dates are compatible.
isMoreGeneral(DateTimeFieldType, DateTimeFieldType, Chronology) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
isMoreSpecific(DateTimeFieldType, DateTimeFieldType, Chronology) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
isNegatedVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
isNegativeRelation() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
isNeighbor(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
isNeighbor(V, V) - Method in interface edu.stanford.nlp.graph.Graph
 
isNodeCoord() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
 
isNull() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
isNumber(char) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
isNumeric(String) - Static method in class edu.stanford.nlp.util.StringUtils
Given a String the method uses Regex to check if the String only contains numeric characters
IsoDate(int, int, int) - Constructor for class edu.stanford.nlp.time.SUTime.IsoDate
 
IsoDate(SUTime.StandardTemporalType, int, int, int) - Constructor for class edu.stanford.nlp.time.SUTime.IsoDate
 
IsoDate(Number, Number, Number) - Constructor for class edu.stanford.nlp.time.SUTime.IsoDate
 
IsoDate(Number, Number, Number, Number, Boolean) - Constructor for class edu.stanford.nlp.time.SUTime.IsoDate
 
IsoDate(String, String, String) - Constructor for class edu.stanford.nlp.time.SUTime.IsoDate
 
ISODateInstance - Class in edu.stanford.nlp.ie.pascal
Represents dates and times according to ISO8601 standard while also allowing for wild cards - e.g., can represent "21 June" without a year (Standard ISO8601 only allows removing less precise annotations (e.g., 200706 rather than 20070621 but not a way to represent 0621 without a year)

Format stores date and time separately since the majority of current use cases involve only one of these items.

ISODateInstance() - Constructor for class edu.stanford.nlp.ie.pascal.ISODateInstance
Creates an empty date instance; you probably don't want this in most cases.
ISODateInstance(String) - Constructor for class edu.stanford.nlp.ie.pascal.ISODateInstance
Takes a string that represents a date, and attempts to normalize it into ISO 8601-compatible format.
ISODateInstance(String, String) - Constructor for class edu.stanford.nlp.ie.pascal.ISODateInstance
 
ISODateInstance(ISODateInstance, ISODateInstance) - Constructor for class edu.stanford.nlp.ie.pascal.ISODateInstance
Constructor for a range of dates, beginning at date start and finishing at date end
ISODateInstance(ISODateInstance, String) - Constructor for class edu.stanford.nlp.ie.pascal.ISODateInstance
Construct a new ISODate based on its relation to a referenceDate.
ISODateInstance.DateField - Enum in edu.stanford.nlp.ie.pascal
Enum for the fields *
IsoDateTime(SUTime.IsoDate, SUTime.IsoTime) - Constructor for class edu.stanford.nlp.time.SUTime.IsoDateTime
 
isOracle(Configuration, String, DependencyTree) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
 
IsoTime(int, int, int) - Constructor for class edu.stanford.nlp.time.SUTime.IsoTime
 
IsoTime(Number, Number, Number) - Constructor for class edu.stanford.nlp.time.SUTime.IsoTime
 
IsoTime(int, int, int, int, int) - Constructor for class edu.stanford.nlp.time.SUTime.IsoTime
 
IsoTime(Number, Number, Number, Number, Number) - Constructor for class edu.stanford.nlp.time.SUTime.IsoTime
 
IsoTime(String, String, String) - Constructor for class edu.stanford.nlp.time.SUTime.IsoTime
 
IsoTime(String, String, String, String) - Constructor for class edu.stanford.nlp.time.SUTime.IsoTime
 
isPhrasal() - Method in class edu.stanford.nlp.trees.Tree
Return whether this node is a phrasal node or not.
isPopulated(int, int, MaxentTagger) - Static method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
isPostHook() - Method in class edu.stanford.nlp.parser.lexparser.Hook
 
isPostHook() - Method in class edu.stanford.nlp.parser.lexparser.Item
 
isPredicateNominatives(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
Check predicate nominatives
isPreHook() - Method in class edu.stanford.nlp.parser.lexparser.Hook
 
isPreHook() - Method in class edu.stanford.nlp.parser.lexparser.Item
 
isPrepositionObject - Variable in class edu.stanford.nlp.dcoref.Mention
 
isPrePreTerminal() - Method in class edu.stanford.nlp.trees.Tree
Return whether all the children of this node are preterminals or not.
isPreTerminal() - Method in class edu.stanford.nlp.trees.Tree
Return whether this node is a preterminal or not.
isPronominal() - Method in class edu.stanford.nlp.dcoref.Mention
 
isPunc(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
isPunct(char) - Method in class edu.stanford.nlp.util.StringParsingTask
 
isPunct(String) - Static method in class edu.stanford.nlp.util.StringUtils
Given a String the method uses Regex to check if the String only contains punctuation characters
isPunctuation(char) - Static method in class edu.stanford.nlp.util.Characters
Returns true if a character is punctuation, and false otherwise.
isPunctuationTag(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Accepts a String that is a punctuation tag name, and rejects everything else.
isPunctuationTag(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
Accepts a String that is a punctuation tag name, and rejects everything else.
isPunctuationTag(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Accepts a String that is a punctuation tag name, and rejects everything else.
isPunctuationWord(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Accepts a String that is a punctuation word, and rejects everything else.
isPunctuationWord(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
Accepts a String that is a punctuation word, and rejects everything else.
isPunctuationWord(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Accepts a String that is a punctuation word, and rejects everything else.
isRange() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
Returns true iff this date represents a range The range must have at least a start or end date, but is not guaranteed to have both
isRef() - Method in class edu.stanford.nlp.time.SUTime.RefTime
 
isRef() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
isRelativePronoun(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
Check relative pronouns
isRightParen(char) - Method in class edu.stanford.nlp.util.StringParsingTask
 
isRoleAppositive(Mention, Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
 
isRoot - Variable in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
root transitions are illegal in the middle of the tree, naturally
isRoot - Variable in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition
root transitions are illegal in the middle of the tree, naturally
isRoot() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
isSentenceFinalPunctuationTag(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Accepts a String that is a sentence end punctuation tag, and rejects everything else.
isSentenceFinalPunctuationTag(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
Accepts a String that is a sentence end punctuation tag, and rejects everything else.
isSentenceFinalPunctuationTag(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Accepts a String that is a sentence end punctuation tag, and rejects everything else.
isSgml(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
isSgml(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
isShowOnlyMatchedPortion() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
 
isSinglePronounCluster(Dictionaries) - Method in class edu.stanford.nlp.dcoref.CorefCluster
 
isSingleTag - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
isSingleton - Variable in class edu.stanford.nlp.dcoref.Mention
 
isSlashDate(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
isSpeaker(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Document
Check one mention is the speaker of the other mention
isStart() - Method in class edu.stanford.nlp.ling.MultiTokenTag
 
isStartOfChunk(String, String, String, String) - Static method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
Returns whether a chunk started between the previous and current token
isStartOfChunk(LabeledChunkIdentifier.LabelTagType, LabeledChunkIdentifier.LabelTagType) - Static method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
Returns whether a chunk started between the previous and current token
isStartSymbol(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Accepts a String that is a start symbol of the treebank.
isStartSymbol(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Accepts a String that is a start symbol of the treebank.
isStrippable(String) - Static method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
Determine if the given word is a verb which needs to be stripped.
isSubject - Variable in class edu.stanford.nlp.dcoref.Mention
 
isSubList(List<T>, List<? super T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns true iff l1 is a sublist of l (i.e., every member of l1 is in l, and for every e1 < e2 in l1, there is an e1 < e2 occurrence in l).
isSymbol(char) - Static method in class edu.stanford.nlp.util.Characters
Returns true if a character is a symbol, and false otherwise.
isSynthetic(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
 
isSynthetic(String) - Static method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer
 
isSyntheticState(String) - Static method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
isTag - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
isTdiffEnabled() - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
 
isTerminal(Configuration) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
 
isTheCommonNoun() - Method in class edu.stanford.nlp.dcoref.Mention
 
isTriggerWord(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
isUnaryRewrite() - Method in class edu.stanford.nlp.trees.Tree
Says whether the current node has only one child.
isUniformDistribution(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Check if this counter is a uniform distribution.
isUnparseable() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
Returns true iff we were unable to parse the input String associated with this date; in that case, we just store the input string and shortcircuit all of the comparison methods
isUnrelatedLabel(String) - Static method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
isUrl(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
IsURLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsURLAnnotation
 
isVerbalAuxiliary(Tree) - Method in class edu.stanford.nlp.trees.SemanticHeadFinder
Returns true if this tree is a preterminal that is a verbal auxiliary.
isVeryDangerous(double) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns true if the argument is a "very dangerous" double to have around, namely one that is infinite or NaN.
isWhiteSpace(char) - Method in class edu.stanford.nlp.util.StringParsingTask
 
isXMLOutputPresent() - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
isYearCompatible(ISODateInstance) - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
Looks if the years for the two dates are compatible.
isZero(SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Returns true iff every element of matrix is 0
isZero() - Method in class edu.stanford.nlp.neural.SimpleTensor
Returns true iff every element of the tensor is 0
ITALIC - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
Item - Class in edu.stanford.nlp.parser.lexparser
Abstract class for parse items.
Item(boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.Item
 
Item(Item) - Constructor for class edu.stanford.nlp.parser.lexparser.Item
 
IterableIterator<E> - Class in edu.stanford.nlp.util
This cures a pet peeve of mine: that you can't use an Iterator directly in Java 5's foreach construct.
IterableIterator(Iterator<E>) - Constructor for class edu.stanford.nlp.util.IterableIterator
 
Iterables - Class in edu.stanford.nlp.util
Utilities for helping out with Iterables as Collections is to Collection.
Iterables() - Constructor for class edu.stanford.nlp.util.Iterables
 
Iterables.IncrementComparator<V1,V2> - Interface in edu.stanford.nlp.util
A comparator used by the merge functions to determine which of two iterators to increment by one of the merge functions.
iterateExtractApply() - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
iterateExtractApply(Map<String, Integer>, Map<String, Counter<String>>, String, String, String, Map<String, Set<Integer>>) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
iterateExtractApply4Label(String, Integer, Counter<String>, BufferedWriter, String, BufferedWriter, Set<Integer>, int, Set<String>, CollectionValuedMap<Integer, Triple<String, Integer, Integer>>, TwoDimensionalCounter<String, Integer>) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
ITERATIONS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
iterativeCKY - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If true, use faster iterative deepening CKY algorithm.
IterativeCKYPCFGParser - Class in edu.stanford.nlp.parser.lexparser
Does iterative deepening search inside the CKY algorithm for faster parsing.
IterativeCKYPCFGParser(BinaryGrammar, UnaryGrammar, Lexicon, Options, Index<String>, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.IterativeCKYPCFGParser
 
iterator() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
iterator() - Method in class edu.stanford.nlp.classify.RVFDataset
iterator() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
iterator() - Method in class edu.stanford.nlp.io.FileSequentialCollection
Return an Iterator over files in the collection.
iterator() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
iterator() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
 
iterator() - Method in class edu.stanford.nlp.objectbank.ObjectBank
 
iterator() - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
Returns an Iterator over the input sources in the underlying Collection.
iterator() - Method in class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
Returns an Iterator over the input sources in the underlying Collection.
iterator() - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
 
iterator() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
 
iterator() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
iterator() - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Returns sentences until the document is exhausted.
iterator() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
iterator() - Method in class edu.stanford.nlp.stats.ClassicCounter
This is a shorthand for keySet.iterator().
iterator() - Method in class edu.stanford.nlp.stats.IntCounter
 
iterator() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
 
iterator() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
 
iterator() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
 
iterator() - Method in class edu.stanford.nlp.trees.CompositeTreebank
 
iterator() - Method in class edu.stanford.nlp.trees.DiskTreebank
Return an Iterator over Trees in the Treebank.
iterator() - Method in class edu.stanford.nlp.trees.FilteringTreebank
 
iterator() - Method in class edu.stanford.nlp.trees.MemoryTreebank
Return an Iterator over Trees in the Treebank.
iterator() - Method in class edu.stanford.nlp.trees.TransformingTreebank
 
iterator() - Method in class edu.stanford.nlp.trees.Tree
Returns an iterator over all the nodes of the tree.
iterator() - Method in class edu.stanford.nlp.util.ArrayHeap
 
iterator() - Method in class edu.stanford.nlp.util.ArraySet
Returns iterator over elements of the set.
iterator() - Method in class edu.stanford.nlp.util.Beam
 
iterator() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
iterator() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
iterator() - Method in class edu.stanford.nlp.util.DeltaIndex
This is one instance where elements added to the backing index will show up in this index's operations
iterator() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
 
iterator() - Method in class edu.stanford.nlp.util.HashIndex
Returns an iterator over the elements of the collection.
iterator() - Method in interface edu.stanford.nlp.util.Heap
Returns an iterator over its elements, in order.
iterator() - Method in class edu.stanford.nlp.util.IdentityHashSet
Returns an iterator over the elements in this set.
iterator() - Method in class edu.stanford.nlp.util.IntervalTree
 
iterator() - Method in class edu.stanford.nlp.util.IterableIterator
 
iterator() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
iterator() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
Iterate over the map using the iterator and entry inner classes.
iterator() - Method in class edu.stanford.nlp.util.TwoDimensionalSet
Iterate over the map using the iterator and entry inner classes.
IteratorFromReaderFactory<T> - Interface in edu.stanford.nlp.objectbank
An IteratorFromReaderFactory is used to convert a java.io.Reader into an Iterator over the Objects of type T represented by the text in the java.io.Reader.
iteratorSimpleMatrix() - Method in class edu.stanford.nlp.neural.SimpleTensor
Returns an iterator over the SimpleMatrix objects contained in the tensor.
iteratorSimpleMatrix(Iterator<SimpleTensor>) - Static method in class edu.stanford.nlp.neural.SimpleTensor
Returns an Iterator which returns the SimpleMatrices represented by an Iterator over tensors.
iterFilesRecursive(File) - Static method in class edu.stanford.nlp.io.IOUtils
Iterate over all the files in the directory, recursively.
iterFilesRecursive(File, String) - Static method in class edu.stanford.nlp.io.IOUtils
Iterate over all the files in the directory, recursively.
iterFilesRecursive(File, Pattern) - Static method in class edu.stanford.nlp.io.IOUtils
Iterate over all the files in the directory, recursively.
itwInterner - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 

J

jaccardCoefficient(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the Jaccard Coefficient of the two counters.
JANUARY - Static variable in class edu.stanford.nlp.time.SUTime
 
JavaDateFormatExtractor(String) - Constructor for class edu.stanford.nlp.time.TimeFormatter.JavaDateFormatExtractor
 
JavaUtilLoggingAdaptor - Class in edu.stanford.nlp.util.logging
Reroutes java.util.logging messages to the Redwood logging system.
JavaUtilLoggingAdaptor.RedwoodHandler - Class in edu.stanford.nlp.util.logging
This is the bridge class which actually adapts java.util.logging calls to Redwood calls.
jensenShannonDivergence(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the Jensen Shannon divergence (information radius) between a and b, defined as the average of the kl divergences from a to b and from b to a.
jensenShannonDivergence(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Calculates the Jensen-Shannon divergence between the two counters.
jj_nt - Variable in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Next token.
JJTLOCATION - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTNODENAME - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
jjtNodeName - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTNODESELECTION - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTNODESELECTIONLIST - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTOPERATION - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTROOT - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTTREEDTRS - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTTREELIST - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTTREENODE - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTTREEROOT - Static variable in interface edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParserTreeConstants
 
JJTTsurgeonParserState - Class in edu.stanford.nlp.trees.tregex.tsurgeon
 
JJTTsurgeonParserState() - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
JodaDateTimeFormatExtractor(DateTimeFormatter) - Constructor for class edu.stanford.nlp.time.TimeFormatter.JodaDateTimeFormatExtractor
 
JodaDateTimeFormatExtractor(String) - Constructor for class edu.stanford.nlp.time.TimeFormatter.JodaDateTimeFormatExtractor
 
JodaTimeUtils - Class in edu.stanford.nlp.time
Extensions to Joda time.
JodaTimeUtils.ConversionOptions - Class in edu.stanford.nlp.time
 
join() - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
Wait for all threads to finish, then destroy the pool of worker threads so that the main thread can shutdown.
join(boolean) - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
Wait for all threads to finish.
join(List<? extends E>, String, Function<E, String>, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
join(Iterable<X>, String) - Static method in class edu.stanford.nlp.util.StringUtils
Joins each elem in the Collection with the given glue.
join(Object[], String) - Static method in class edu.stanford.nlp.util.StringUtils
Joins each elem in the array with the given glue.
join(Iterable<?>) - Static method in class edu.stanford.nlp.util.StringUtils
Joins elems with a space.
join(Object[]) - Static method in class edu.stanford.nlp.util.StringUtils
Joins elements with a space.
JOIN_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
joinFields(List<? extends CoreMap>, Class, String, String, int, int, Function<Object, String>) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinFields(List<? extends CoreMap>, Class, String, String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinFields(List<? extends CoreMap>, Class, Function<Object, String>) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinFields(List<? extends CoreMap>, Class) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinJJ - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Joint comparative and superlative adjective with positive.
joinMultipleFields(List<? extends CoreMap>, Class[], String, String, String, int, int, Function<Object, String>) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinMultipleFields(List<? extends CoreMap>, Class[], Function<Object, String>) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinMultipleFields(List<? extends CoreMap>, Class[], String, String, String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinMultipleFields(List<? extends CoreMap>, Class[]) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinNode(Tree, Tree) - Method in class edu.stanford.nlp.trees.Tree
Given nodes t1 and t2 which are dominated by this node, returns their "join node": the node j such that j dominates both t1 and t2, and every other node which dominates both t1 and t2 dominates j.
joinNounTags - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Join proper nouns with common nouns.
joinPound - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Join pound with dollar.
joinWithOriginalWhiteSpace(List<CoreLabel>) - Static method in class edu.stanford.nlp.util.StringUtils
Joins all the tokens together (more or less) according to their original whitespace.
joinWithTimeout() - Method in class edu.stanford.nlp.util.concurrent.InterruptibleMulticoreWrapper
Shuts down the thread pool, returns when finished.
joinWords(Iterable<? extends HasWord>, String) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinWords(List<? extends HasWord>, String, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
joinWordTags(List<? extends CoreMap>, String, int, int) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
JollyDayHolidays - Class in edu.stanford.nlp.time
Wrapper around jollyday library so we can hook in holiday configurations from jollyday with SUTime.
JollyDayHolidays() - Constructor for class edu.stanford.nlp.time.JollyDayHolidays
 
JollyDayHolidays.JollyHoliday - Class in edu.stanford.nlp.time
 
JollyDayHolidays.MyXMLManager - Class in edu.stanford.nlp.time
 
JollyHoliday(String, HolidayManager, Holiday) - Constructor for class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
 
JSONOutputter - Class in edu.stanford.nlp.pipeline
Output an Annotation to human readable JSON.
JSONOutputter() - Constructor for class edu.stanford.nlp.pipeline.JSONOutputter
 
JSONOutputter.JSONWriter - Class in edu.stanford.nlp.pipeline
Our very own little JSON writing class.
JSONOutputter.Writer - Interface in edu.stanford.nlp.pipeline
A tiny little functional interface for writing a (key, value) pair.
jsonPrint(Annotation, OutputStream) - Static method in class edu.stanford.nlp.pipeline.JSONOutputter
 
jsonPrint(Annotation, OutputStream, StanfordCoreNLP) - Static method in class edu.stanford.nlp.pipeline.JSONOutputter
 
jsonPrint(Annotation, OutputStream, AnnotationOutputter.Options) - Static method in class edu.stanford.nlp.pipeline.JSONOutputter
 
jsonPrint(Annotation, Writer) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
Displays the output of all annotators in JSON format.
JULY - Static variable in class edu.stanford.nlp.time.SUTime
 
JUNE - Static variable in class edu.stanford.nlp.time.SUTime
 
justificationOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Deprecated.
justificationOf(RVFDatum<L, F>, PrintWriter) - Method in class edu.stanford.nlp.classify.LinearClassifier
Deprecated.
justificationOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
justificationOf(Datum<L, F>, PrintWriter, Function<F, T>) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
justificationOf(Datum<L, F>, PrintWriter, Function<F, T>, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Print all features active for a particular datum and the weight that the classifier assigns to each class for those features.
justificationOf(Datum<L, F>, PrintWriter) - Method in class edu.stanford.nlp.classify.LinearClassifier
Print all features active for a particular datum and the weight that the classifier assigns to each class for those features.
justificationOf(Datum<L, F>, PrintWriter, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Print all features active for a particular datum and the weight that the classifier assigns to each class for those features.
justificationOf(Counter<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
justificationOf(Collection<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
returns the weights assigned by the classifier to each feature
justificationOf(Datum<String, String>, PrintWriter, String) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
justify - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
justify - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 

K

k - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
kBest - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
KBestSequenceFinder - Class in edu.stanford.nlp.sequences
 
KBestSequenceFinder() - Constructor for class edu.stanford.nlp.sequences.KBestSequenceFinder
 
kBestSequences(SequenceModel, int) - Method in class edu.stanford.nlp.sequences.KBestSequenceFinder
Runs the Viterbi algorithm on the sequence model, and then proceeds to efficiently backwards decode the best k label sequence assignments.
kBestSize - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
KBestViterbiParser - Interface in edu.stanford.nlp.parser
An interface that supports finding k best and/or k good parses and parse sampling.
keepAllWhitespaces - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Keep all the whitespace words in testFile when printing out answers.
keepEmptySentences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Whether or not to keep blank sentences when processing.
keepEmptySentences() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
keepEnglishWhitespaces - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Keep the whitespace between English words in testFile when printing out answers.
keepInMemory(boolean) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Tells the ObjectBank to store all of its contents in memory so that it doesn't have to be recomputed each time you iterate through it.
keepInMemory(boolean) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
keepOBInMemory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
keepOriginalText - Variable in class edu.stanford.nlp.ling.DocumentReader
Whether to keep source text in document along with tokenized words.
KEY_VAL_DELIM - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatures
 
keys() - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
 
keysAbove(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Returns the set of keys whose counts are at or above the given threshold.
keysAbove(int) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the set of keys whose counts are at or above the given threshold.
keysAt(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Returns the set of keys that have exactly the given count.
keysAt(int) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the set of keys that have exactly the given count.
keysBelow(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Returns the set of keys whose counts are at or below the given threshold.
keysBelow(int) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the set of keys whose counts are at or below the given threshold.
keySet() - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
 
keySet() - Method in class edu.stanford.nlp.ling.IndexedWord
 
keySet() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
keySet() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
keySet() - Method in class edu.stanford.nlp.neural.Embedding
 
keySet() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns the Set of keys in this counter.
keySet() - Method in interface edu.stanford.nlp.stats.Counter
Returns the Set of keys in this counter.
keySet() - Method in class edu.stanford.nlp.stats.Distribution
 
keySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns the set of keys, as read-only Lists of size equal to the depth of the GeneralizedCounter.
keySet() - Method in class edu.stanford.nlp.stats.IntCounter
 
keySet() - Method in class edu.stanford.nlp.util.ArrayCoreMap
Collection of keys currently held in this map.
keySet() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
keySet() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
 
keySet() - Method in interface edu.stanford.nlp.util.TypesafeMap
Collection of keys currently held in this map.
kfold - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
kidLabels(Tree) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
 
kidLabels(Tree) - Static method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
 
KILL - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation
Dummy relation, used while collapsing relations, e.g., in English & Chinese GrammaticalStructure
klDivergence(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
klDivergence(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Calculates the KL divergence between the two counters.
known(String) - Static method in class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter
 
knownCliques - Static variable in class edu.stanford.nlp.sequences.FeatureFactory
 
knownLCWords - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
knownWords - Static variable in class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter
 

L

L1_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
L1Norm(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
L1Norm(C) - Static method in class edu.stanford.nlp.stats.Counters
Return the L1 norm of a counter.
L1normalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
L1Reg - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
l1reg - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
L1RegLambda - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
L2Norm(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
L2Norm(C) - Static method in class edu.stanford.nlp.stats.Counters
Return the l2 norm (Euclidean vector length) of a Counter.
L2Normalize(C) - Static method in class edu.stanford.nlp.stats.Counters
L2 normalize a counter.
L2NormalizeInPlace(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
L2 normalize a counter in place.
L2Reg - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
label() - Method in class edu.stanford.nlp.ie.crf.CRFDatum
Returns the label for this Datum, or null if none have been set.
label() - Method in class edu.stanford.nlp.ling.BasicDatum
Returns the first label for this Datum, or null if none have been set.
label() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns the first label for this Document, or null if none have been set.
Label - Interface in edu.stanford.nlp.ling
Something that implements the Label interface can act as a constituent, node, or word label with linguistic attributes.
label() - Method in interface edu.stanford.nlp.ling.Labeled
Returns the primary label for this Object, or null if none have been set.
label() - Method in class edu.stanford.nlp.ling.RVFDatum
 
label - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
 
label - Variable in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
 
label - Variable in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition
 
label - Variable in class edu.stanford.nlp.patterns.surface.ScorePatterns
 
label - Variable in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier.LabelTagType
 
label() - Method in class edu.stanford.nlp.trees.Constituent
access label
label() - Method in interface edu.stanford.nlp.trees.Labeled
Returns the Object's label.
label() - Method in class edu.stanford.nlp.trees.LabeledConstituent
 
label() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Returns the label associated with the current node, or null if there is no label
label() - Method in class edu.stanford.nlp.trees.Tree
Returns the label associated with the current node, or null if there is no label.
label - Variable in class edu.stanford.nlp.trees.TreeGraphNode
Label for this node.
label() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Returns the label associated with the current node, or null if there is no label.
LabelAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LabelAnnotation
 
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
labelAnnotationIntroducingCharacters() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
labelAnnotationIntroducingCharacters() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return an array of characters at which a String should be truncated to give the basic syntactic category of a label.
LabelDictionary - Class in edu.stanford.nlp.ie.crf
Constrains test-time inference to labels observed in training.
LabelDictionary() - Constructor for class edu.stanford.nlp.ie.crf.LabelDictionary
Constructor.
labelDictionaryCutoff - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
labelDomain(List<CoreLabel>, String) - Static method in class edu.stanford.nlp.international.arabic.process.IOBUtils
 
Labeled<E> - Interface in edu.stanford.nlp.ling
Interface for Objects that have a label, whose label is an Object.
Labeled - Interface in edu.stanford.nlp.trees
Interface for Objects which have a Label.
LabeledChunkIdentifier - Class in edu.stanford.nlp.pipeline
Identifies chunks based on labels that uses IOB like encoding Assumes labels have the form - where the tag is a prefix indicating where in the chunk it is.
LabeledChunkIdentifier() - Constructor for class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
LabeledChunkIdentifier.LabelTagType - Class in edu.stanford.nlp.pipeline
Class representing a label, tag and type
LabeledConstituent - Class in edu.stanford.nlp.trees
A LabeledConstituent object represents a single bracketing in a derivation, including start and end points and Label information, but excluding probabilistic information.
LabeledConstituent() - Constructor for class edu.stanford.nlp.trees.LabeledConstituent
Create an empty LabeledConstituent object.
LabeledConstituent(int, int) - Constructor for class edu.stanford.nlp.trees.LabeledConstituent
Create a LabeledConstituent object with given values.
LabeledConstituent(int, int, Label) - Constructor for class edu.stanford.nlp.trees.LabeledConstituent
Create a LabeledConstituent object with given values.
LabeledConstituent(int, int, String) - Constructor for class edu.stanford.nlp.trees.LabeledConstituent
Create a LabeledConstituent object with given values.
LabeledScoredConstituent - Class in edu.stanford.nlp.trees
A LabeledScoredConstituent object defines an edge in a graph with a label and a score.
LabeledScoredConstituent() - Constructor for class edu.stanford.nlp.trees.LabeledScoredConstituent
Create an empty LabeledScoredConstituent object.
LabeledScoredConstituent(int, int) - Constructor for class edu.stanford.nlp.trees.LabeledScoredConstituent
Create a LabeledScoredConstituent object with given values.
LabeledScoredConstituent(int, int, Label, double) - Constructor for class edu.stanford.nlp.trees.LabeledScoredConstituent
Create a LabeledScoredConstituent object with given values.
LabeledScoredConstituentFactory - Class in edu.stanford.nlp.trees
A LabeledScoredConstituentFactory acts as a factory for creating objects of class LabeledScoredConstituent.
LabeledScoredConstituentFactory() - Constructor for class edu.stanford.nlp.trees.LabeledScoredConstituentFactory
 
LabeledScoredTreeFactory - Class in edu.stanford.nlp.trees
A LabeledScoredTreeFactory acts as a factory for creating trees with labels and scores.
LabeledScoredTreeFactory() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeFactory
Make a TreeFactory that produces LabeledScoredTree trees.
LabeledScoredTreeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeFactory
Make a TreeFactory that uses LabeledScoredTree trees, where the labels are as specified by the user.
LabeledScoredTreeNode - Class in edu.stanford.nlp.trees
A LabeledScoredTreeNode represents a tree composed of a root label, a score, and an array of daughter parse trees.
LabeledScoredTreeNode() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode
Create an empty parse tree.
LabeledScoredTreeNode(Label) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode
Create a leaf parse tree with given word.
LabeledScoredTreeNode(Label, double) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode
Create a leaf parse tree with given word and score.
LabeledScoredTreeNode(Label, List<Tree>) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeNode
Create parse tree with given root and array of daughter trees.
LabeledScoredTreeReaderFactory - Class in edu.stanford.nlp.trees
This class implements a TreeReaderFactory that produces labeled, scored array-based Trees, which have been cleaned up to delete empties, etc.
LabeledScoredTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
Create a new TreeReaderFactory with CoreLabel labels.
LabeledScoredTreeReaderFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
 
LabeledScoredTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
 
LabeledScoredTreeReaderFactory(LabelFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
 
labeledSentenceToString(List<CoreLabel>, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
for printing labeled sentence in less verbose manner
LabeledWord - Class in edu.stanford.nlp.ling
A LabeledWord object contains a word and its tag.
LabeledWord() - Constructor for class edu.stanford.nlp.ling.LabeledWord
Create a new TaggedWord.
LabeledWord(String) - Constructor for class edu.stanford.nlp.ling.LabeledWord
Create a new TaggedWord.
LabeledWord(String, Label) - Constructor for class edu.stanford.nlp.ling.LabeledWord
Create a new TaggedWord.
LabeledWord(Label, Label) - Constructor for class edu.stanford.nlp.ling.LabeledWord
 
labeledYield() - Method in class edu.stanford.nlp.trees.Tree
 
labeledYield(List<LabeledWord>) - Method in class edu.stanford.nlp.trees.Tree
 
labelEquals(EntityMention, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
Compares the labels of the two mentions
labelFactory() - Method in class edu.stanford.nlp.ling.CategoryWordTag
Return a factory for this kind of label (i.e., CategoryWordTag).
labelFactory() - Method in class edu.stanford.nlp.ling.CoreLabel
Returns a factory that makes labels of the exact same type as this one.
labelFactory() - Method in class edu.stanford.nlp.ling.IndexedWord
Returns a factory that makes labels of the exact same type as this one.
labelFactory() - Method in interface edu.stanford.nlp.ling.Label
Returns a factory that makes labels of the exact same type as this one.
labelFactory() - Method in class edu.stanford.nlp.ling.LabeledWord
Return a factory for this kind of label (i.e., TaggedWord).
LabelFactory - Interface in edu.stanford.nlp.ling
A LabelFactory object acts as a factory for creating objects of class Label, or some descendant class.
labelFactory() - Method in class edu.stanford.nlp.ling.StringLabel
Return a factory for this kind of label (i.e., StringLabel).
labelFactory() - Method in class edu.stanford.nlp.ling.Tag
Return a factory for this kind of label (i.e., Tag).
labelFactory() - Method in class edu.stanford.nlp.ling.TaggedWord
Return a factory for this kind of label (i.e., TaggedWord).
labelFactory() - Method in class edu.stanford.nlp.ling.ValueLabel
Returns a factory that makes Labels of the appropriate sort.
labelFactory() - Method in class edu.stanford.nlp.ling.Word
Return a factory for this kind of label (i.e., Word).
labelFactory() - Method in class edu.stanford.nlp.ling.WordLemmaTag
Return a factory for this kind of label (i.e., TaggedWord).
labelFactory() - Method in class edu.stanford.nlp.ling.WordTag
Return a factory for this kind of label (i.e., TaggedWord).
labelFactory() - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
 
labelFactory() - Method in class edu.stanford.nlp.trees.LabeledConstituent
Return a factory for this kind of label.
labelFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredConstituent
Return a factory for this kind of label.
labelFactory() - Method in class edu.stanford.nlp.trees.SimpleConstituent
Return a factory for this kind of label.
labelFactory() - Method in class edu.stanford.nlp.trees.Tree
Returns a factory that makes labels of the same type as this one.
labelIndex - Variable in class edu.stanford.nlp.classify.GeneralDataset
 
labelIndex() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
labelIndex() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
labelIndex - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
labelIndex - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
labelIndices - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
label indices - for all possible label sequences - for each feature
labelIterator() - Method in class edu.stanford.nlp.classify.GeneralDataset
Returns an iterator over the class labels of the Dataset
labelList2Text(List<? extends HasWord>) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Returns a presentable version of the given PTB-tokenized words.
labels - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
labels() - Method in interface edu.stanford.nlp.classify.Classifier
 
labels - Variable in class edu.stanford.nlp.classify.GeneralDataset
 
labels() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
labels - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
The label of each data index.
labels() - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
labels() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
labels() - Method in class edu.stanford.nlp.ie.ClassifierCombiner
 
labels - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
labels() - Method in class edu.stanford.nlp.ling.BasicDatum
Returns the complete List of labels for this Datum, which may be empty.
labels - Variable in class edu.stanford.nlp.ling.BasicDocument
Label(s) for this document.
labels() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns the complete List of labels for this Document.
labels() - Method in interface edu.stanford.nlp.ling.Labeled
Returns the complete list of labels for this Object, which may be empty.
labels() - Method in class edu.stanford.nlp.ling.RVFDatum
 
labels - Variable in class edu.stanford.nlp.parser.nndep.ParsingSystem
 
labels - Variable in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
labels[0] is the top of the unary chain.
labels() - Method in class edu.stanford.nlp.trees.Constituent
Access labels -- actually always a singleton here.
labels() - Method in interface edu.stanford.nlp.trees.Labeled
Gives back all labels for this thing.
labels() - Method in class edu.stanford.nlp.trees.Tree
Get the set of all node and leaf Labels, null or otherwise, contained in the tree.
LabelTagType(String, String, String) - Constructor for class edu.stanford.nlp.pipeline.LabeledChunkIdentifier.LabelTagType
 
LabelValidator - Interface in edu.stanford.nlp.ie.machinereading
 
LabelWeightAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LabelWeightAnnotation
 
LabelWithSeedWords(Set<String>, Map<String, List<CoreLabel>>, List<String>, Class, String, int, String, Set<String>, Function<CoreLabel, String>) - Constructor for class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass.LabelWithSeedWords
 
labelWords(String, Map<String, List<CoreLabel>>, Set<String>, String, CollectionValuedMap<Integer, Triple<String, Integer, Integer>>) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
lam - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
lambda - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
These are the model parameters that have to be learned.
lambda - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
lambda - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
lambda_converged - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
Only allocated and used in the IIS optimization routines.
lambdaCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
lambdaEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
LambdaSolve - Class in edu.stanford.nlp.maxent.iis
This is the main class that does the core computation in IIS.
LambdaSolve(Problem, double, double) - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
 
LambdaSolve(String) - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
Reads the lambda parameters from a file.
LambdaSolve() - Constructor for class edu.stanford.nlp.maxent.iis.LambdaSolve
 
LambdaSolveTagger - Class in edu.stanford.nlp.tagger.maxent
This module does the working out of lambda parameters for binary tagger features.
LANG - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
langpack() - Method in class edu.stanford.nlp.parser.lexparser.Options
 
langpack - Variable in class edu.stanford.nlp.sentiment.RNNOptions
 
language - Variable in class edu.stanford.nlp.parser.nndep.Config
The language of the parser used on.
Languages - Class in edu.stanford.nlp.international
Constants and parameters for multilingual parsing.
Languages.Language - Enum in edu.stanford.nlp.international
 
laplaceSmoothedDistribution(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution
Creates an Laplace smoothed Distribution from the given counter, ie adds one count to every item, including unseen ones, and divides by the total count.
laplaceSmoothedDistribution(Counter<E>, int, double) - Static method in class edu.stanford.nlp.stats.Distribution
Creates a smoothed Distribution using Lidstone's law, ie adds lambda (typically between 0 and 1) to every item, including unseen ones, and divides by the total count.
laplaceWithExplicitUnknown(Counter<E>, double, E) - Static method in class edu.stanford.nlp.stats.Distribution
Creates a smoothed Distribution with Laplace smoothing, but assumes an explicit count of "UNKNOWN" items.
LARGE_BATCH - Static variable in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
largeChSegFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
LAST - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
LAST_DAY_OF_MONTH - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
 
LAST_MONTH_OF_YEAR - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
 
LAST_NON_NIL - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
lastBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
lastBatchSize - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
lastChild() - Method in class edu.stanford.nlp.trees.Tree
Returns the last child of a tree, or null if none.
lastDerivative() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
lastElement - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
LastGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastGazAnnotation
 
lastIndexOf(Object) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
lastNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
lastPoll - Variable in class edu.stanford.nlp.util.MemoryMonitor
 
LastTaggedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastTaggedAnnotation
 
lastValue() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
lastValue() - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
lastVBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
lastXBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
latinPunc - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
Lattice - Class in edu.stanford.nlp.parser.lexparser
 
Lattice() - Constructor for class edu.stanford.nlp.parser.lexparser.Lattice
 
LatticeEdge - Class in edu.stanford.nlp.parser.lexparser
 
LatticeEdge(String, double, int, int) - Constructor for class edu.stanford.nlp.parser.lexparser.LatticeEdge
 
LatticeScorer - Interface in edu.stanford.nlp.parser.lexparser
 
LatticeWord(String, int, int, double, double, int, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
 
LatticeWriter<IN extends CoreMap,T,S> - Interface in edu.stanford.nlp.sequences
This interface is used for writing lattices out of SequenceClassifiers.
LazyFileIterator(File, String) - Constructor for class edu.stanford.nlp.util.Execution.LazyFileIterator
 
LazyFileIterator(File, FilenameFilter) - Constructor for class edu.stanford.nlp.util.Execution.LazyFileIterator
 
lazyUpdate - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LBeginAnnotation
 
LCB - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
LeafAncestorEval - Class in edu.stanford.nlp.parser.metrics
Implementation of the Leaf Ancestor metric first described by Sampson and Babarczy (2003) and later analyzed more completely by Clegg and Shepherd (2005).
LeafAncestorEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.LeafAncestorEval
 
leafLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees
returns the labels of the leaves in a Tree in the order that they're found.
LEARN_CLOSED_CLASS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
learnCHBasedOnEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
learnENBasedOnCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
LearnImportantFeatures - Class in edu.stanford.nlp.patterns.surface
The idea is that you can learn features that are important using ML algorithm and use those features in learning weights for patterns.
LearnImportantFeatures() - Constructor for class edu.stanford.nlp.patterns.surface.LearnImportantFeatures
 
learningRate - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
How fast to learn (can mean different things for different algorithms)
learningRate - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
 
learnNewPhrases(String, PatternsForEachToken, Counter<Integer>, Counter<Integer>, CollectionValuedMap<Integer, Triple<String, Integer, Integer>>, Counter<String>, TwoDimensionalCounter<String, Integer>, TwoDimensionalCounter<String, Integer>, TwoDimensionalCounter<Integer, String>, String, Set<String>) - Method in class edu.stanford.nlp.patterns.surface.ScorePhrases
 
LEAVE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
leaveItAll - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
if true, leave all PTB (functional tag) annotations (bad)
leaves(Tree) - Static method in class edu.stanford.nlp.trees.Trees
returns the leaves in a Tree in the order that they're found.
LEFT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
 
LEFT_PARENTHESIS - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
 
leftAccepting(boolean[]) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
 
leftCharEdge(Tree) - Method in class edu.stanford.nlp.trees.Tree
Returns the positional index of the left edge of node within the tree, as measured by characters.
leftChild - Variable in class edu.stanford.nlp.parser.lexparser.BinaryRule
 
LeftChildrenNodeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LeftChildrenNodeAnnotation
 
leftContext() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
 
leftEdge(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
Returns the positional index of the left edge of a tree t within a given root, as defined by the size of the yield of all material preceding t.
leftFA - Variable in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
 
leftHeaded - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
 
LeftHeadFinder - Class in edu.stanford.nlp.trees
HeadFinder that always returns the leftmost daughter as head.
LeftHeadFinder() - Constructor for class edu.stanford.nlp.trees.LeftHeadFinder
 
leftMargin - Variable in class edu.stanford.nlp.util.logging.OutputHandler
The length of the left margin in which to print channel information.
leftMessage() - Method in class edu.stanford.nlp.sequences.Clique
 
leftRec - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Left edge is right-recursive (X << X) Bad.
leftRotate(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
 
leftSisterLabels(Tree, Tree) - Static method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
string-value labels of left sisters; from inside to outside (right-left)
LeftTermAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LeftTermAnnotation
 
leftToRight - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
leftWindow() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
leftWindow() - Method in class edu.stanford.nlp.ie.crf.TestSequenceModel
 
leftWindow() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
leftWindow() - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
How many label positions to the left influence the label assignment at a particular position.
leftWindow() - Method in interface edu.stanford.nlp.sequences.SequenceModel
How many label positions to the left influence the label assignment at a particular position.
leftWindow() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
lemma() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the lemma value of the label (or null if none).
lemma() - Method in interface edu.stanford.nlp.ling.HasLemma
Return the lemma value of the label (or null if none).
lemma() - Method in class edu.stanford.nlp.ling.IndexedWord
 
lemma() - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
lemma(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.AnnotatorFactories
 
lemma(String, String) - Method in class edu.stanford.nlp.process.Morphology
 
lemma(String, String, boolean) - Method in class edu.stanford.nlp.process.Morphology
 
LEMMA_LABEL - Static variable in class edu.stanford.nlp.ling.WordLemmaTagFactory
 
LEMMA_MARK - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
LEMMA_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
LemmaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation
 
lemmaId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
LEMMAS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
Dictionary for all lemmas in the corpus
lemmaStatic(String, String, boolean) - Static method in class edu.stanford.nlp.process.Morphology
 
lemmaStaticSynchronized(String, String, boolean) - Static method in class edu.stanford.nlp.process.Morphology
 
lemmatize(String) - Method in class edu.stanford.nlp.parser.common.ParserGrammar
 
lemmatize(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.common.ParserGrammar
Only works on English, as it is hard coded for using the Morphology class, which is English-only
lemmatize(WordTag) - Method in class edu.stanford.nlp.process.Morphology
Lemmatize returning a WordLemmaTag .
lemmatize(List<CoreLabel>, Morphology) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Adds lemmas to the given list of CoreLabels, using the given Morphology object.
lemmatizeStatic(WordTag) - Static method in class edu.stanford.nlp.process.Morphology
 
len() - Method in class edu.stanford.nlp.maxent.Feature
 
len() - Method in class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LEndAnnotation
 
length() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
length() - Method in class edu.stanford.nlp.ie.crf.TestSequenceModel
 
length() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
length - Variable in class edu.stanford.nlp.ling.MultiTokenTag.Tag
 
length - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
length - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
length() - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
length() - Method in interface edu.stanford.nlp.sequences.SequenceModel
 
length() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
length() - Method in class edu.stanford.nlp.util.IntTuple
 
LENGTH_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
LENGTH_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
 
LENGTH_ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
 
LENGTH_SCORER - Static variable in class edu.stanford.nlp.util.Interval
 
lengthAccuracies() - Method in class edu.stanford.nlp.sentiment.Evaluate
 
LengthAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LengthAnnotation
 
lengthEndpointsComparator() - Static method in class edu.stanford.nlp.util.Interval
 
lengthNormalization - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Turns on normalizing scores for sentence length.
lengthPenalty - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Parameters for a ChineseCharacterBasedLexicon
lengthScorer() - Static method in class edu.stanford.nlp.util.Interval
 
LengthTreeFilter - Class in edu.stanford.nlp.trees
Only accept trees that are short enough (less than or equal to length).
LengthTreeFilter(int) - Constructor for class edu.stanford.nlp.trees.LengthTreeFilter
 
LETTER - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
LETTERS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
lex - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
Returns a lexicon for Arabic.
lex - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Returns a ChineseLexicon
lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
lex - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
lex - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
returns an ordinary Lexicon (could be tuned for German!)
lex(Options, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
lex(Options, Index<String>, Index<String>) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Vends a Lexicon object suitable to the particular language/treebank combination of interest.
LexedTokenFactory<T> - Interface in edu.stanford.nlp.process
Constructs a token (of arbitrary type) from a String and its position in the underlying text.
Lexer - Interface in edu.stanford.nlp.io
A Lexer interface to be used with LexerTokenizer.
lexerProperties - Variable in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
 
lexerProperties - Variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
 
lexerProperties - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
 
LexerTokenizer - Class in edu.stanford.nlp.process
An implementation of Tokenizer designed to work with Lexer implementing classes.
LexerTokenizer(Lexer) - Constructor for class edu.stanford.nlp.process.LexerTokenizer
 
LexerTokenizer(Lexer, Reader) - Constructor for class edu.stanford.nlp.process.LexerTokenizer
 
LexicalChainMatch - Class in edu.stanford.nlp.dcoref.sievepasses
 
LexicalChainMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.LexicalChainMatch
 
lexicalize(Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
Returns a lexicalized Tree whose Labels are CategoryWordTag instances, all corresponds to the input tree.
LexicalizedParser - Class in edu.stanford.nlp.parser.lexparser
This class provides the top-level API and command-line interface to a set of reasonably good treebank-trained parsers.
LexicalizedParser(Lexicon, BinaryGrammar, UnaryGrammar, DependencyGrammar, Index<String>, Index<String>, Index<String>, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
LexicalizedParserClient - Class in edu.stanford.nlp.parser.server
The sister class to LexicalizedParserServer.
LexicalizedParserClient(String, int) - Constructor for class edu.stanford.nlp.parser.server.LexicalizedParserClient
 
lexicalizedParserQuery() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
LexicalizedParserQuery - Class in edu.stanford.nlp.parser.lexparser
 
LexicalizedParserServer - Class in edu.stanford.nlp.parser.server
Serves requests to the given parser model on the given port.
LexicalizedParserServer(int, String) - Constructor for class edu.stanford.nlp.parser.server.LexicalizedParserServer
 
LexicalizedParserServer(int, String, String) - Constructor for class edu.stanford.nlp.parser.server.LexicalizedParserServer
 
LexicalizedParserServer(int, ParserGrammar) - Constructor for class edu.stanford.nlp.parser.server.LexicalizedParserServer
 
Lexicon - Interface in edu.stanford.nlp.parser.lexparser
An interface for lexicons interfacing to lexparser.
lexOptions - Variable in class edu.stanford.nlp.parser.lexparser.Options
 
LexOptions() - Constructor for class edu.stanford.nlp.parser.lexparser.Options.LexOptions
 
lgamma(double) - Static method in class edu.stanford.nlp.math.SloppyMath
 
LinearClassifier<L,F> - Class in edu.stanford.nlp.classify
Implements a multiclass linear classifier.
LinearClassifier(double[][], Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.LinearClassifier
Make a linear classifier from the parameters.
LinearClassifier(double[][], Index<F>, Index<L>, double[]) - Constructor for class edu.stanford.nlp.classify.LinearClassifier
 
LinearClassifier(double[], Index<Pair<F, L>>) - Constructor for class edu.stanford.nlp.classify.LinearClassifier
 
LinearClassifier(Counter<? extends Pair<F, L>>) - Constructor for class edu.stanford.nlp.classify.LinearClassifier
 
LinearClassifier(Counter<? extends Pair<F, L>>, Counter<L>) - Constructor for class edu.stanford.nlp.classify.LinearClassifier
 
LinearClassifierCreator(LogConditionalObjectiveFunction, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
 
LinearClassifierCreator(Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory.LinearClassifierCreator
 
LinearClassifierFactory<L,F> - Class in edu.stanford.nlp.classify
Builds various types of linear classifiers, with functionality for setting objective function, optimization method, and other parameters.
LinearClassifierFactory() - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Minimizer<DiffFunction>) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
NOTE: Constructors that take in a Minimizer create a LinearClassifierFactory that will reuse the minimizer and will not be threadsafe (unless the Minimizer itself is ThreadSafe which is probably not the case).
LinearClassifierFactory(Factory<Minimizer<DiffFunction>>) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(boolean) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Minimizer<DiffFunction>, boolean) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, boolean) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Minimizer<DiffFunction>, double, boolean) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, double, boolean) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(double, boolean, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Minimizer<DiffFunction>, double, boolean, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, double, boolean, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Minimizer<DiffFunction>, double, boolean, int, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, double, boolean, int, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(double, boolean, int, double, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(double, boolean, int, double, double, int) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Minimizer<DiffFunction>, double, boolean, int, double, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
Create a factory that builds linear classifiers from training data.
LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, double, boolean, int, double, double) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Minimizer<DiffFunction>, double, boolean, LogPrior) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory(Factory<Minimizer<DiffFunction>>, double, boolean, LogPrior) - Constructor for class edu.stanford.nlp.classify.LinearClassifierFactory
 
LinearClassifierFactory.LinearClassifierCreator<L,F> - Class in edu.stanford.nlp.classify
 
LinearCliquePotentialFunction - Class in edu.stanford.nlp.ie.crf
 
linearCombination(Counter<E>, double, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Returns a Counter which is a weighted average of c1 and c2.
LinearGrammarSmoother - Class in edu.stanford.nlp.parser.lexparser
Implements linear rule smoothing a la Petrov et al.
LinearGrammarSmoother(TrainOptions, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.LinearGrammarSmoother
 
lineCount(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
LineIterator<X> - Class in edu.stanford.nlp.objectbank
An Iterator that returns a line of a file at a time.
LineIterator(Reader) - Constructor for class edu.stanford.nlp.objectbank.LineIterator
 
LineIterator(Reader, Function<String, X>) - Constructor for class edu.stanford.nlp.objectbank.LineIterator
 
LineIterator.LineIteratorFactory<X> - Class in edu.stanford.nlp.objectbank
 
LineIteratorFactory() - Constructor for class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
 
LineIteratorFactory(Function<String, X>) - Constructor for class edu.stanford.nlp.objectbank.LineIterator.LineIteratorFactory
 
LineNumberAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LineNumberAnnotation
 
LineSearcher - Interface in edu.stanford.nlp.optimization
The interface for one variable function minimizers.
linesFromFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns the contents of a file as a list of strings.
linesFromFile(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns the contents of a file as a list of strings.
linesFromFile(String, String, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
 
LineToTrueCasesParser() - Constructor for class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter.LineToTrueCasesParser
 
LinkAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LinkAnnotation
 
LINKED_LIST_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
 
linkedHashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
Return a MapFactory that returns an LinkedHashMap.
linkedListFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
 
LinkedListFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
 
LIST_BULLET - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
LIST_VALUE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
listen() - Method in class edu.stanford.nlp.parser.server.LexicalizedParserServer
Runs in a loop, getting requests from new clients until a client tells us to exit.
ListeningSequenceModel - Interface in edu.stanford.nlp.sequences
This is simply a conjunctive interface for something that is a SequenceModel and a SequenceListener.
ListExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
ListExpression(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
 
ListExpression(String, List<Expression>, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
 
ListExtractRule(Collection<SequenceMatchRules.ExtractRule<I, O>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
 
ListExtractRule(SequenceMatchRules.ExtractRule<I, O>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
 
listIterator() - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
listIterator(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
listMembers - Variable in class edu.stanford.nlp.dcoref.Mention
Set of other mentions in the same sentence that below to this list
listOfLanguages() - Static method in class edu.stanford.nlp.international.Languages
 
ListProcessor<IN,OUT> - Interface in edu.stanford.nlp.process
An interface for things that operate on a List.
listToEvents(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
listToFile(List<double[]>, String) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
listToString(List<T>) - Static method in class edu.stanford.nlp.ling.Sentence
Returns the sentence as a string with a space between words.
listToString(List<T>, boolean) - Static method in class edu.stanford.nlp.ling.Sentence
Returns the sentence as a string with a space between words.
listToString(List<T>, boolean, String) - Static method in class edu.stanford.nlp.ling.Sentence
As already described, but if separator is not null, then objects such as TaggedWord
lm - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
 
LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LMiddleAnnotation
 
load(String, Class<? extends BasicEntityExtractor>, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
Loads the model from disk.
load(String) - Static method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
load(String, String) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
Loads all saved dictionary entries from disk
load(Reader) - Method in class edu.stanford.nlp.trees.MemoryTreebank
Load a collection of parse trees from a Reader.
load(Reader, String) - Method in class edu.stanford.nlp.trees.MemoryTreebank
Load a collection of parse trees from a Reader.
load2DCounter(String, Class<T1>, Class<T2>) - Static method in class edu.stanford.nlp.stats.Counters
 
load2DMatrixFromFile(String) - Static method in class edu.stanford.nlp.math.ArrayMath
 
loadAuxClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadAuxiliaryData(Collection<List<IN>>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Load auxiliary data to be used in constructing features and labels Intended to be overridden by subclasses
loadAuxiliaryData(Collection<List<IN>>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierWithDropout
 
loadBisequenceClassifierCh - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadBisequenceClassifierEn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Bisequence CRF parameters
loadByReflection(String, Object...) - Static method in class edu.stanford.nlp.util.ReflectionLoading
You can use this as follows:
String s = ReflectionLoading.loadByReflection("java.lang.String", "foo");
String s = ReflectionLoading.loadByReflection("java.lang.String");
Note that this uses generics for convenience, but this does nothing for compile-time error checking.
loadClassifier(InputStream) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Load a classifier from the specified InputStream.
loadClassifier(InputStream, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Load a classifier from the specified InputStream.
loadClassifier(ObjectInputStream, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Load a classifier from the specified input stream.
loadClassifier(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Loads a classifier from the file specified by loadPath.
loadClassifier(String, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Loads a classifier from the file specified by loadPath.
loadClassifier(File) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
loadClassifier(File, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Loads a classifier from the file specified.
loadClassifier(ObjectInputStream, Properties) - Method in class edu.stanford.nlp.ie.ClassifierCombiner
 
loadClassifier(ObjectInputStream, Properties) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Loads a classifier from the specified InputStream.
loadClassifier(ObjectInputStream, Properties) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
 
loadClassifier(ObjectInputStream, Properties) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
Load a classifier from the given Stream.
loadClassifier(ObjectInputStream, Properties) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
loadClassifier(ObjectInputStream, Properties) - Method in class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
 
loadClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadClassifierFromPath(String) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
 
loadClassifierNoExceptions(InputStream, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Loads a classifier from the given input stream.
loadClassifierNoExceptions(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
loadClassifierNoExceptions(String, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
loadClassifierNoExceptions(File) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
loadClassifierNoExceptions(File, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
loadClassIndexFrom - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadClassIndexFromFile(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
loadCollection(String, Class<T>, CollectionFactory<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
loadCollection(File, Class<T>, CollectionFactory<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
loadCollection(String, Class<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Adds the items from the file to the collection.
loadCollection(File, Class<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Adds the items from the file to the collection.
loadCounter(String, Class<E>) - Static method in class edu.stanford.nlp.stats.Counters
Loads a Counter from a text file.
loadCRFSegmenterPath - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadDatasetsDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadDefaultClassifier() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
This is used to load the default supplied classifier stored within the jar file.
loadDefaultClassifier(Properties) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
This is used to load the default supplied classifier stored within the jar file.
loadDefaultClassifier() - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
Used to load the default supplied classifier.
loadDomainNGrams() - Static method in class edu.stanford.nlp.patterns.surface.Data
 
loadFeatureIndexFromCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadFeatureIndexFromEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadFeatureIndexFromFile(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
loadFiles(EnumMap<TregexGUI.FilterType, String>, File[]) - Method in class edu.stanford.nlp.trees.tregex.gui.FilePanel
 
loadFromFilename(String) - Static method in class edu.stanford.nlp.classify.LinearClassifierFactory
Given the path to a file representing the text based serialization of a Linear Classifier, reconstitutes and returns that LinearClassifier.
loadFromFilename(String) - Static method in class edu.stanford.nlp.util.HashIndex
This assumes each line is of the form (number=value) and it adds each value in order of the lines in the file
loadFromFileWithList(String) - Static method in class edu.stanford.nlp.util.HashIndex
This assumes each line is one value and creates index by adding values in the order of the lines in the file
loadFromModelFile(String) - Static method in class edu.stanford.nlp.parser.nndep.DependencyParser
loadFromModelFile(String, Properties) - Static method in class edu.stanford.nlp.parser.nndep.DependencyParser
Load a saved parser model.
loadFromReader(BufferedReader) - Static method in class edu.stanford.nlp.util.HashIndex
This is the analogue of loadFromFilename, and is intended to be included in a routine that unpacks a text-serialized form of an object that incorporates an Index.
loadGazetteers(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
loadGoogleNGrams() - Static method in class edu.stanford.nlp.patterns.surface.Data
 
loadIncInto2DCounter(String, Class<T1>, Class<T2>, TwoDimensionalCounterInterface<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
 
loadIndex(Properties, Set<String>, String, Function<CoreLabel, Map<String, String>>) - Static method in class edu.stanford.nlp.patterns.surface.InvertedIndexByTokens
 
loadIndex(Class<? extends SentenceIndex>, Properties, Set<String>, String, Function<CoreLabel, Map<String, String>>) - Static method in class edu.stanford.nlp.patterns.surface.SentenceIndex
 
loadIntCounter(String, Class<E>) - Static method in class edu.stanford.nlp.stats.Counters
Loads a Counter from a text file.
loadInto2DCounter(String, Class<T1>, Class<T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
 
loadInvertedIndex - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
You can load the inverted index using this file.
loadJarClassifier(String, Properties) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
This function will load a classifier that is stored inside a jar file (if it is so stored).
loadJarClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadMixedCaseMap(String) - Static method in class edu.stanford.nlp.pipeline.TrueCaseAnnotator
 
loadModel - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
loadModel(String, String...) - Static method in class edu.stanford.nlp.parser.common.ParserGrammar
 
loadModel(String, String[]) - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
 
loadModel() - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Construct a new LexicalizedParser object from a previously serialized grammar read from a System property edu.stanford.nlp.SerializedLexicalizedParser, or a default classpath location (edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz).
loadModel(Options, String...) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Construct a new LexicalizedParser object from a previously serialized grammar read from a System property edu.stanford.nlp.SerializedLexicalizedParser, or a default classpath location (edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz).
loadModel(String, String...) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
loadModel(String, List<String>) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
loadModel(String, Options, String...) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Construct a new LexicalizedParser.
loadModel(ObjectInputStream) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Reads one object from the given ObjectInputStream, which is assumed to be a LexicalizedParser.
loadModel(String, String...) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
loadModel(String) - Static method in class edu.stanford.nlp.tagger.common.Tagger
 
loadModelFile(String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
Load a parser model file, printing out some messages about the grammar in the file.
loadModelFromZip(String, String) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
loadOrMakeSerializedSentences(String, GenericDataSetReader, File) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
Gets the serialized sentences for a data set.
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.CompositeTreebank
 
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.DiskTreebank
Load trees from given directory.
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.FilteringTreebank
Load trees from given path specification.
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.MemoryTreebank
Load trees from given directory.
loadPath(String, FileFilter, String) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.TransformingTreebank
Load trees from given path specification.
loadPath(String) - Method in class edu.stanford.nlp.trees.Treebank
Load a sequence of trees from given directory and its subdirectories.
loadPath(File) - Method in class edu.stanford.nlp.trees.Treebank
Load a sequence of trees from given file or directory and its subdirectories.
loadPath(String, String, boolean) - Method in class edu.stanford.nlp.trees.Treebank
Load trees from given directory.
loadPath(File, String, boolean) - Method in class edu.stanford.nlp.trees.Treebank
Load trees from given directory.
loadPath(String, FileFilter) - Method in class edu.stanford.nlp.trees.Treebank
Load a sequence of trees from given directory and its subdirectories which match the file filter.
loadPath(File, FileFilter) - Method in class edu.stanford.nlp.trees.Treebank
Load trees from given path specification.
loadPCTSegmenterPath - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadProcessedData(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
loadProcessedData - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadProximityClasses(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
Loads all proximity classes from the hard disk The WORDS map must be created before!
loadSegmenter(String, Properties) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
 
loadSegmenter(String) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
 
loadSegmenter(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
loadSegmenter(String) - Method in interface edu.stanford.nlp.process.WordSegmenter
 
loadSerialized(String) - Static method in class edu.stanford.nlp.sentiment.SentimentModel
 
loadStanfordProcessor(Properties) - Static method in class edu.stanford.nlp.dcoref.MentionExtractor
Load Stanford Processor: skip unnecessary annotator
loadStateAbbreviation(String) - Method in class edu.stanford.nlp.dcoref.Dictionaries
The format of each line of this file is fullStateName ( TAB abbrev )* The file is cased and checked cased.
loadTagger() - Method in class edu.stanford.nlp.parser.common.ParserGrammar
 
loadTagIndex() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
loadTextClassifier(BufferedReader) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
loadTextClassifier(String, Properties) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
loadTextClassifier(BufferedReader) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
 
loadTextClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadTextMatrix(String) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Convert a file into a text matrix.
loadTextMatrix(File) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Convert a file into a text matrix.
loadWeightsFrom - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadWeightsFromCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadWeightsFromEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
loadWeightsFromFile(String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
localContextScores - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
localize(Tree) - Static method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
 
LOCALIZER_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "localizer complement" grammatical relation.
localScores - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
localString() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
 
localString() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
localTree() - Method in class edu.stanford.nlp.trees.Tree
Returns a new Tree that represents the local Tree at a certain node.
localTreeAsCatList(Tree) - Static method in class edu.stanford.nlp.trees.Trees
returns the syntactic category of the tree as a list of the syntactic categories of the mother and the daughters
localTrees() - Method in class edu.stanford.nlp.trees.Tree
Returns a set of one level Trees that ares the local trees of the tree.
LocationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LocationAnnotation
 
locationPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
LOCIndex - Variable in class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
 
lock(int, Index<String>) - Method in class edu.stanford.nlp.ie.crf.LabelDictionary
Setup the constrained label sets and free bookkeeping resources.
lock() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
lock() - Method in class edu.stanford.nlp.util.DeltaIndex
 
lock() - Method in class edu.stanford.nlp.util.HashIndex
Locks the Index.
lock() - Method in interface edu.stanford.nlp.util.Index
Locks the Index.
log(DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
 
log(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
log(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
Convenience method for log to a different base
log(Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
Pretty log an object.
log(String, Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
Pretty log an object along with its description.
log(Redwood.RedwoodChannels, Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
Pretty log an object.
log(Redwood.RedwoodChannels, String, Object) - Static method in class edu.stanford.nlp.util.logging.PrettyLogger
Pretty log an object.
log(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
Log a message.
log(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
Log a message to the channels specified in this RedwoodChannels object.
log(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
log() - Method in class edu.stanford.nlp.util.MemoryMonitor.PeakMemoryMonitor
 
LOG_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
logAdd(float, float) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the log of the sum of two numbers, which are themselves input in log form.
logAdd(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the log of the sum of two numbers, which are themselves input in log form.
LogConditionalObjectiveFunction<L,F> - Class in edu.stanford.nlp.classify
Maximizes the conditional likelihood with a given prior.
LogConditionalObjectiveFunction(GeneralDataset<L, F>) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(GeneralDataset<L, F>, LogPrior) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(GeneralDataset<L, F>, float[], LogPrior) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(GeneralDataset<L, F>, LogPrior, boolean) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(GeneralDataset<L, F>, LogPrior, boolean, float[]) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Version passing in a GeneralDataset, which may be binary or real-valued features.
LogConditionalObjectiveFunction(Iterable<Datum<L, F>>, LogPrior, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Version where an Iterable is passed in for the data.
LogConditionalObjectiveFunction(int, int, int[][], int[], boolean) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(int, int, int[][], int[]) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(int, int, int[][], int[], LogPrior) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(int, int, int[][], int[], float[]) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(int, int, int[][], int[], float[], LogPrior) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(int, int, int[][], int[], float[], LogPrior, boolean) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(int, int, int[][], int[], int, double, double) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
LogConditionalObjectiveFunction(int, int, int[][], double[][], int[], int, double, double) - Constructor for class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
For real-valued features.
logf(String, Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
The Redwood equivalent to printf().
logf(String, Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
Log a printf-style formatted message to the channels specified in this RedwoodChannels object.
logf(String, Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
logger - Static variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
 
logger - Static variable in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
logger - Variable in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
logger - Variable in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
 
logger - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
logger - Static variable in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
logger - Static variable in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
 
logger - Static variable in class edu.stanford.nlp.time.TimeExpressionExtractorImpl
 
logger - Variable in class edu.stanford.nlp.util.logging.RedirectOutputHandler
 
loggingMethod - Variable in class edu.stanford.nlp.util.logging.RedirectOutputHandler
 
logIncrementCount(E, double) - Method in class edu.stanford.nlp.stats.AbstractCounter
 
logIncrementCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Increments the count stored in log space for this key by the given log-transformed value.
logIncrementCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
Increments the count stored in log space for this key by the given log-transformed value.
logIncrementValue(int[], double) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
logIncrementValue(int[], float) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
logInPlace(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
logInPlace(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
LogisticClassifier<L,F> - Class in edu.stanford.nlp.classify
A classifier for binary logistic regression problems.
LogisticClassifier(double[], Index<F>, L[]) - Constructor for class edu.stanford.nlp.classify.LogisticClassifier
 
LogisticClassifier(boolean) - Constructor for class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
LogisticClassifier(LogPrior) - Constructor for class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
LogisticClassifier(LogPrior, boolean) - Constructor for class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
LogisticClassifierFactory<L,F> - Class in edu.stanford.nlp.classify
Builds a classifier for binary logistic regression problems.
LogisticClassifierFactory() - Constructor for class edu.stanford.nlp.classify.LogisticClassifierFactory
 
LogisticObjectiveFunction - Class in edu.stanford.nlp.classify
Maximizes the conditional likelihood with a given prior.
LogisticObjectiveFunction(int, int[][], int[]) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
LogisticObjectiveFunction(int, int[][], int[], LogPrior) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
LogisticObjectiveFunction(int, int[][], int[], float[]) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
LogisticObjectiveFunction(int, int[][], int[], LogPrior, float[]) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
LogisticObjectiveFunction(int, int[][], double[][], int[]) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
LogisticObjectiveFunction(int, int[][], double[][], int[], LogPrior) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
LogisticObjectiveFunction(int, int[][], double[][], int[], float[]) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
LogisticObjectiveFunction(int, int[][], double[][], int[], LogPrior, float[]) - Constructor for class edu.stanford.nlp.classify.LogisticObjectiveFunction
 
logLikelihood() - Method in class edu.stanford.nlp.classify.PRCurve
assuming the scores are probability of 1 given x
loglikelihood(List<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
Returns the log conditional likelihood of the given dataset.
logLikelihood() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
logLikelihoodNeg() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Calculate the log-likelihood from scratch, hashing the conditional probabilities in pcond, which we will use later.
logLikelihoodScratch() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
calculate the log likelihood from scratch, hashing the conditional probabilities in pcond which we will use for the derivative later.
logNormalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Makes the values in this array sum to 1.0.
logNormalizeInPlace(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Transform log space values into a probability distribution in place.
logPrecision(int) - Method in class edu.stanford.nlp.classify.PRCurve
what is the precision at this recall if we look at the score as the probability of class 1 given x as if coming from logistic regression
LogPrior - Class in edu.stanford.nlp.classify
A Prior for functions.
LogPrior() - Constructor for class edu.stanford.nlp.classify.LogPrior
 
LogPrior(int) - Constructor for class edu.stanford.nlp.classify.LogPrior
 
LogPrior(LogPrior.LogPriorType) - Constructor for class edu.stanford.nlp.classify.LogPrior
 
LogPrior(int, double, double) - Constructor for class edu.stanford.nlp.classify.LogPrior
 
LogPrior(LogPrior.LogPriorType, double, double) - Constructor for class edu.stanford.nlp.classify.LogPrior
 
LogPrior(double[]) - Constructor for class edu.stanford.nlp.classify.LogPrior
IMPORTANT NOTE: This constructor allows non-uniform regularization, but it transforms the inputs C (like the machine learning people like) to sigma (like we NLP folks like).
LogPrior.LogPriorType - Enum in edu.stanford.nlp.classify
 
logProb(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
logProb(int, E) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
logProb(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
returns the log probability for the given labels (indexed using classIndex), where the last label corresponds to the label at the specified position.
logProb(int, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
returns the log probability for the given labels, where the last label corresponds to the label at the specified position.
logProb(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
logProb(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
logProbabilityOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns a counter mapping from each class name to the log probability of that class for a certain example.
logProbabilityOf(int[]) - Method in class edu.stanford.nlp.classify.LinearClassifier
Given a datum's features, returns a counter mapping from each class name to the log probability of that class.
logProbabilityOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Deprecated.
logProbabilityOf(Datum<L, F>) - Method in interface edu.stanford.nlp.classify.ProbabilisticClassifier
 
logProbabilityOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.SVMLightClassifier
Returns a counter for the log probability of each of the classes looking at the the sum of e^v for each count v, should be 1 Note: Uses SloppyMath.logSum which isn't exact but isn't as offensively slow as doing a series of exponentials
logProbabilityOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.SVMLightClassifier
Returns a counter for the log probability of each of the classes looking at the the sum of e^v for each count v, should be 1 Note: Uses SloppyMath.logSum which isn't exact but isn't as offensively slow as doing a series of exponentials
logProbabilityOf(E) - Method in class edu.stanford.nlp.stats.Distribution
Returns the natural logarithm of the object's probability
logProbabilityOf(E) - Method in interface edu.stanford.nlp.stats.ProbabilityDistribution
 
logProbEnd(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
logProbEnd(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
logProbEnd(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
logProbEnd(int) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
logProbFront(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
logProbFront(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
logProbFront(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
logProbs(int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
logProbs(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
logProbStartPos() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
logProbsToDoubleArr(int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
logProbTable() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
LogRecordHandler - Class in edu.stanford.nlp.util.logging
A log message handler.
LogRecordHandler() - Constructor for class edu.stanford.nlp.util.logging.LogRecordHandler
 
logSum(DoubleAD[]) - Static method in class edu.stanford.nlp.math.ADMath
 
logSum(DoubleAD[], int, int) - Static method in class edu.stanford.nlp.math.ADMath
 
logSum(double...) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the log of the sum of an array of numbers, which are themselves input in log form.
logSum(double[], int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the log of the portion between fromIndex, inclusive, and toIndex, exclusive, of an array of numbers, which are themselves input in log form.
logSum(double[], int, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the log of the portion between fromIndex, inclusive, and toIndex, exclusive, of an array of numbers, which are themselves input in log form.
logSum(List<Double>) - Static method in class edu.stanford.nlp.math.ArrayMath
 
logSum(List<Double>, int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
logSum(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the log of the sum of an array of numbers, which are themselves input in log form.
logSum(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns ArrayMath.logSum of the values in this counter.
longArrToByteArr(long[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
longArrToByteArr(long[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
longArrToByteArr(byte[], int, long[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
LONGEST_STRING_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
 
longestCommonContiguousSubstring(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Computes the longest common contiguous substring of s and t.
longestCommonSubstring(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Computes the longest common substring of s and t.
LongestMatchedPhraseForEachLabel() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.LongestMatchedPhraseForEachLabel
 
longestNNPEndsWithHead() - Method in class edu.stanford.nlp.dcoref.Mention
 
LongestStringComparator() - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher.LongestStringComparator
 
longValue() - Method in class edu.stanford.nlp.math.DoubleAD
 
longValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
longValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
longValue() - Method in class edu.stanford.nlp.util.MutableLong
 
lookingAt(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Say whether this regular expression can be found at the beginning of this String.
lookup(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
lookup(PhraseTable.WordList) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
lookupAnnotationKey(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.EnvLookup
 
lookupCanonicalAmericanStateName(String) - Method in class edu.stanford.nlp.dcoref.Dictionaries
If the input string is an abbreviation of a U.S.
lookupExtractRuleCreator(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
lookupFunctionObject(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
lookupNormalized(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
lookupShaper(String) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
Look up a shaper by a short String name.
LOOSE_ACRONYM - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
lossDomination() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
calculate the loss for Dom ranking using the numbers in p.data.values to determine domination relationships in the graphs if values[x][y]> values[x][y'] then there is an edge (x,y)->(x,y')
LOWER - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
LOWERCASE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
LowercaseAndAmericanizeFunction - Class in edu.stanford.nlp.process
 
LowercaseAndAmericanizeFunction() - Constructor for class edu.stanford.nlp.process.LowercaseAndAmericanizeFunction
 
LowercaseFunction - Class in edu.stanford.nlp.process
 
LowercaseFunction() - Constructor for class edu.stanford.nlp.process.LowercaseFunction
 
lowercaseNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
lowercaseNormalizedSpanString() - Method in class edu.stanford.nlp.dcoref.Mention
 
lowercaseWordVectors - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether or not to lowercase word vectors
lowercaseWordVectors - Variable in class edu.stanford.nlp.sentiment.RNNOptions
 
lowerNewgeneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
lowestLevelCounterEntrySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns a set of entries, where each key is a read-only List of size one less than the depth of the GeneralizedCounter, and each value is a ClassicCounter.
lowestNPIncludesHead() - Method in class edu.stanford.nlp.dcoref.Mention
 
lr - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
LRB - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
LRSigma - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Sigma for L2 regularization in Logisitic regression, if a classifier is used to score phrases
LUNCHTIME - Static variable in class edu.stanford.nlp.time.SUTime
 

M

MachineReading - Class in edu.stanford.nlp.ie.machinereading
Main driver for Machine Reading training, annotation, and evaluation.
MachineReading() - Constructor for class edu.stanford.nlp.ie.machinereading.MachineReading
 
MachineReadingAnnotations - Class in edu.stanford.nlp.ie.machinereading.structure
Annotations specific to the machinereading data structures
MachineReadingAnnotations.AllRelationMentionsAnnotation - Class in edu.stanford.nlp.ie.machinereading.structure
The CoreMap key for getting relation mentions corresponding to a sentence.
MachineReadingAnnotations.DependencyAnnotation - Class in edu.stanford.nlp.ie.machinereading.structure
Deprecated.
MachineReadingAnnotations.DocumentDirectoryAnnotation - Class in edu.stanford.nlp.ie.machinereading.structure
 
MachineReadingAnnotations.DocumentIdAnnotation - Class in edu.stanford.nlp.ie.machinereading.structure
Deprecated.
MachineReadingAnnotations.EntityMentionsAnnotation - Class in edu.stanford.nlp.ie.machinereading.structure
The CoreMap key for getting the entity mentions corresponding to a sentence.
MachineReadingAnnotations.EventMentionsAnnotation - Class in edu.stanford.nlp.ie.machinereading.structure
The CoreMap key for getting the event mentions corresponding to a sentence.
MachineReadingAnnotations.GenderAnnotation - Class in edu.stanford.nlp.ie.machinereading.structure
Marks words as belonging to a list of either male or female names
MachineReadingAnnotations.RelationMentionsAnnotation - Class in edu.stanford.nlp.ie.machinereading.structure
The CoreMap key for getting the relation mentions corresponding to a sentence.
MachineReadingAnnotations.TriggerAnnotation - Class in edu.stanford.nlp.ie.machinereading.structure
Marks trigger words for relation extraction
MachineReadingProperties - Class in edu.stanford.nlp.ie.machinereading
 
MachineReadingProperties() - Constructor for class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
Macros - Class in edu.stanford.nlp.trees.tregex
This defines how to use macros from a file in Tregex.
MAGENTA - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
main(String[]) - Static method in class edu.stanford.nlp.classify.ColumnDataClassifier
Runs the ColumnDataClassifier from the command-line.
main(String[]) - Static method in class edu.stanford.nlp.classify.CrossValidator
 
main(String[]) - Static method in class edu.stanford.nlp.classify.LogisticClassifier
 
main(String[]) - Static method in class edu.stanford.nlp.classify.PRCurve
 
main(String[]) - Static method in class edu.stanford.nlp.classify.RVFDataset
 
main(String[]) - Static method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
Reads and dumps output, mainly for debugging.
main(String[]) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
Needs the following properties: -props 'Location of coref.properties'
main(String[]) - Static method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
main(String[]) - Static method in class edu.stanford.nlp.fsm.QuasiDeterminizer
 
main(String[]) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
For testing only.
main(String[]) - Static method in class edu.stanford.nlp.ie.ClassifierCombiner
Some basic testing of the ClassifierCombiner.
main(String[]) - Static method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
The main method, which is essentially the same as in CRFClassifier.
main(String[]) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
The main method.
main(String[]) - Static method in class edu.stanford.nlp.ie.crf.CRFFeatureExporter
 
main(String[]) - Static method in class edu.stanford.nlp.ie.crf.FactorTable
 
main(String[]) - Static method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
main(String[]) - Static method in class edu.stanford.nlp.ie.machinereading.common.NoPunctuationHeadFinder
 
main(String[]) - Static method in class edu.stanford.nlp.ie.machinereading.common.SimpleTokenize
Implements a simple test
main(String[]) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.AceReader
 
main(String[]) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDomReader
 
main(String[]) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceSentenceSegmenter
 
main(String[]) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
main(String[]) - Static method in class edu.stanford.nlp.ie.machinereading.domains.roth.RothCONLL04Reader
 
main(String[]) - Static method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
main(String[]) - Static method in class edu.stanford.nlp.ie.ner.CMMClassifier
Command-line version of the classifier.
main(String[]) - Static method in class edu.stanford.nlp.ie.pascal.ISODateInstance
For testing only
main(String[]) - Static method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
main(String[]) - Static method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
For debugging.
main(String[]) - Static method in class edu.stanford.nlp.international.arabic.Buckwalter
 
main(String[]) - Static method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
main(String[]) - Static method in class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
For debugging.
main(String[]) - Static method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
 
main(String[]) - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
A fast, rule-based tokenizer for Modern Standard Arabic (UTF-8 encoding).
main(String[]) - Static method in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
For debugging
main(String[]) - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer
A fast, rule-based tokenizer for Modern Standard French.
main(String[]) - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
A fast, rule-based tokenizer for Spanish based on AnCora.
main(String[]) - Static method in class edu.stanford.nlp.io.FileSequentialCollection
This is simply a debugging aid that tests the functionality of the class.
main(String[]) - Static method in class edu.stanford.nlp.ling.BasicDocument
For internal debugging purposes only.
main(String[]) - Static method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
main(String[]) - Static method in class edu.stanford.nlp.ling.WordLemmaTag
 
main(String[]) - Static method in class edu.stanford.nlp.math.ArrayMath
For testing only.
main(String[]) - Static method in class edu.stanford.nlp.math.SloppyMath
Tests the hypergeometric distribution code, or other functions provided in this module.
main(String[]) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
With arguments, this will print out the lambda parameters of a bunch of .lam files (which are assumed to all be the same size).
main(String[]) - Static method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
main(String[]) - Static method in class edu.stanford.nlp.objectbank.LineIterator
 
main(String[]) - Static method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
main(String[]) - Static method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
main(String[]) - Static method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
main(String[]) - Static method in class edu.stanford.nlp.optimization.SMDMinimizer
 
main(String[]) - Static method in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
An example of a command line is
java -mx1g edu.stanford.nlp.parser.dvparser.CacheParseHypotheses -model /scr/horatio/dvparser/wsjPCFG.nocompact.simple.ser.gz -output cached9.simple.ser.gz -treebank /afs/ir/data/linguistic-data/Treebank/3/parsed/mrg/wsj 200-202
java -mx4g edu.stanford.nlp.parser.dvparser.CacheParseHypotheses -model ~/scr/dvparser/wsjPCFG.nocompact.simple.ser.gz -output cached.train.simple.ser.gz -treebank /afs/ir/data/linguistic-data/Treebank/3/parsed/mrg/wsj 200-2199 -numThreads 6
java -mx4g edu.stanford.nlp.parser.dvparser.CacheParseHypotheses -model ~/scr/dvparser/chinese/xinhuaPCFG.ser.gz -output cached.xinhua.train.ser.gz -treebank /afs/ir/data/linguistic-data/Chinese-Treebank/6/data/utf8/bracketed 026-270,301-499,600-999
main(String[]) - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
An example command line for training a new parser:
nohup java -mx6g edu.stanford.nlp.parser.dvparser.DVParser -cachedTrees /scr/nlp/data/dvparser/wsj/cached.wsj.train.simple.ser.gz -train -testTreebank /afs/ir/data/linguistic-data/Treebank/3/parsed/mrg/wsj/22 2200-2219 -debugOutputFrequency 400 -nofilter -trainingThreads 5 -parser /u/nlp/data/lexparser/wsjPCFG.nocompact.simple.ser.gz -trainingIterations 40 -batchSize 25 -model /scr/nlp/data/dvparser/wsj/wsj.combine.v2.ser.gz -unkWord "*UNK*" -dvCombineCategories > /scr/nlp/data/dvparser/wsj/wsj.combine.v2.out 2>&1 &
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
 
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Provides some testing and opportunities for exploration of the probabilities of a BaseLexicon.
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
This method lets you train and test a segmenter relative to a Treebank.
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
For testing: loads a treebank and prints the trees.
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel
 
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.CNFTransformers
 
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
 
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.FactoredParser
 
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
A main program for using the parser with various options.
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
Calculate parent annotation statistics suitable for doing selective parent splitting in the PCFGParser inside FactoredParser.
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
Calculate sister annotation statistics suitable for doing selective sister splitting in the PCFGParser inside the FactoredParser.
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
Lets you test out the TreeAnnotatorAndBinarizer on the command line.
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
 
main(String[]) - Static method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer
Lets you test out the TreeBinarizer on the command line.
main(String[]) - Static method in class edu.stanford.nlp.parser.metrics.Evalb
Run the Evalb scoring metric on guess/gold input.
main(String[]) - Static method in class edu.stanford.nlp.parser.metrics.LeafAncestorEval
Execute with no arguments for usage.
main(String[]) - Static method in class edu.stanford.nlp.parser.metrics.TaggingEval
Run the scoring metric on guess/gold input.
main(String[]) - Static method in class edu.stanford.nlp.parser.metrics.UnlabeledAttachmentEval
Run the Evalb scoring metric on guess/gold input.
main(String[]) - Static method in class edu.stanford.nlp.parser.nndep.DependencyParser
A main program for training, testing and using the parser.
main(String[]) - Static method in class edu.stanford.nlp.parser.server.LexicalizedParserClient
 
main(String[]) - Static method in class edu.stanford.nlp.parser.server.LexicalizedParserServer
 
main(String[]) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
main(String[]) - Static method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
main(String[]) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
main(String[]) - Static method in class edu.stanford.nlp.patterns.surface.LearnImportantFeatures
 
main(String[]) - Static method in class edu.stanford.nlp.pipeline.AnnotationPipeline
 
main(String[]) - Static method in class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
 
main(String[]) - Static method in class edu.stanford.nlp.pipeline.CustomAnnotationSerializer
 
main(String[]) - Static method in class edu.stanford.nlp.pipeline.RelationExtractorAnnotator
 
main(String[]) - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
This can be used just for testing or for command-line text processing.
main(String[]) - Static method in class edu.stanford.nlp.process.Americanize
Americanize and print the command line arguments.
main(String[]) - Static method in class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor
usage: java ChineseDocumentToSentenceProcessor [-segmentIBM] -file filename [-encoding encoding]
main(String[]) - Static method in class edu.stanford.nlp.process.DocumentPreprocessor
This provides a simple test method for DocumentPreprocessor.
main(String[]) - Static method in class edu.stanford.nlp.process.LexerTokenizer
for testing only
main(String[]) - Static method in class edu.stanford.nlp.process.Morphology
Run the morphological analyzer.
main(String[]) - Static method in class edu.stanford.nlp.process.PTBEscapingProcessor
This will do the escaping on an input file.
main(String[]) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Reads files given as arguments and print their tokens, by default as one per line.
main(String[]) - Static method in class edu.stanford.nlp.process.StripTagsProcessor
For internal debugging purposes only.
main(String[]) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
Reads a file from the argument and prints its tokens one per line.
main(String[]) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
Usage: java edu.stanford.nlp.process.WordShapeClassifier [-wordShape name] string+
where name is an argument to lookupShaper.
main(String[]) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFormatter
 
main(String[]) - Static method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
Prints out all matches of a semgrex pattern on a file of dependencies.
main(String[]) - Static method in class edu.stanford.nlp.sentiment.BuildBinarizedDataset
Turns a text file into trees for use in a RNTN classifier such as the treebank used in the Sentiment project.
main(String[]) - Static method in class edu.stanford.nlp.sentiment.Evaluate
Expected arguments are -model model -treebank treebank
For example
java edu.stanford.nlp.sentiment.Evaluate edu/stanford/nlp/models/sentiment/sentiment.ser.gz /u/nlp/data/sentiment/trees/dev.txt
main(String[]) - Static method in class edu.stanford.nlp.sentiment.ReadSentimentDataset
This program converts the format of the Sentiment data set prepared by Richard, Jean, etc.
main(String[]) - Static method in class edu.stanford.nlp.sentiment.SentimentPipeline
 
main(String[]) - Static method in class edu.stanford.nlp.sentiment.SentimentTraining
 
main(String[]) - Static method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
Count some stats on what occurs in a file.
main(String[]) - Static method in class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter
for test only
main(String[]) - Static method in class edu.stanford.nlp.stats.Distribution
For internal testing purposes only.
main(String[]) - Static method in class edu.stanford.nlp.stats.GeneralizedCounter
for testing purposes only
main(String[]) - Static method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
 
main(String[]) - Static method in class edu.stanford.nlp.stats.SimpleGoodTuring
Like Sampson's SGT program, reads data from STDIN and writes results to STDOUT.
main(String[]) - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
main(String[]) - Static method in class edu.stanford.nlp.swing.FontDetector
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.Extractors
Prints out the pair of Extractors objects found in the file that is the first and only argument.
main(String[]) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Command-line tagger interface.
main(String[]) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
main(String[]) - Static method in class edu.stanford.nlp.trees.CollinsHeadFinder
Go through trees and determine their heads and print them.
main(String[]) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
 
main(String[]) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
Prints out the English grammatical relations hierarchy.
main(String[]) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
 
main(String[]) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
Given sentences or trees, output the typed dependencies.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
 
main(String[]) - Static method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer
 
main(String[]) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
 
main(String[]) - Static method in class edu.stanford.nlp.trees.international.french.DybroFrenchHeadFinder
Go through trees and determine their heads and print them.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.french.FrenchHeadFinder
Go through trees and determine their heads and print them.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
For debugging.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeReaderFactory
 
main(String[]) - Static method in class edu.stanford.nlp.trees.international.negra.NegraPennTokenizer
 
main(String[]) - Static method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
 
main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
The main method reads (segmented, whitespace delimited) words from a file and prints them with their English translation(s).
main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
Prints out the Chinese grammatical relations hierarchy.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
Tests generation of Chinese grammatical relations from a file.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
Mainly for testing.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer
The main() method tokenizes a file in the specified Encoding and prints it to standard output in the specified Encoding.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.pennchinese.RadicalMap
The main function reads a list of characters and outputs the list with corresponding radicals.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.spanish.SpanishHeadFinder
Go through trees and determine their heads and print them.
main(String[]) - Static method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
Prints a few aspects of the TreebankLanguagePack, just for debugging.
main(String[]) - Static method in class edu.stanford.nlp.trees.MemoryTreebank
Loads treebank grammar from first argument and prints it.
main(String[]) - Static method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Prints a few aspects of the TreebankLanguagePack, just for debugging.
main(String[]) - Static method in class edu.stanford.nlp.trees.PennTreeReader
Loads treebank data from first argument and prints it.
main(String[]) - Static method in class edu.stanford.nlp.trees.QPTreeTransformer
 
main(String[]) - Static method in class edu.stanford.nlp.trees.TransformingTreebank
Loads treebank grammar from first argument and prints it.
main(String[]) - Static method in class edu.stanford.nlp.trees.Treebanks
Loads treebank and prints it.
main(String[]) - Static method in class edu.stanford.nlp.trees.TreeFunctions
This method just tests the functionality of the included transformers.
main(String[]) - Static method in class edu.stanford.nlp.trees.TreeGraphNode
Just for testing.
main(String[]) - Static method in class edu.stanford.nlp.trees.TreePrint
This provides a simple main method for calling TreePrint.
main(String[]) - Static method in class edu.stanford.nlp.trees.Trees
 
main(String[]) - Static method in class edu.stanford.nlp.trees.tregex.gui.Tdiff
 
main(String[]) - Static method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
Main method for launching a new tregex gui object
If the argument -transformer class is given, that class is used as a TreeTransformer when loading in trees.
main(String[]) - Static method in class edu.stanford.nlp.trees.tregex.TregexPattern
Prints out all matches of a tree pattern on each tree in the path.
main(String[]) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Usage: java edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon [-s] -treeFile file-with-trees [-po matching-pattern operation] operation-file-1 operation-file-2 ...
main(String[]) - Static method in class edu.stanford.nlp.trees.WordStemmer
Reads, stems, and prints the trees in the file.
main(String[]) - Static method in class edu.stanford.nlp.util.CollectionValuedMap
For testing only.
main(String[]) - Static method in class edu.stanford.nlp.util.ConcatenationIterator
 
main(String[]) - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
Test method: interns its arguments and says whether they == themselves.
main(String[]) - Static method in class edu.stanford.nlp.util.DeltaMap
For testing only.
main(String[]) - Static method in class edu.stanford.nlp.util.EditDistance
 
main(String[]) - Static method in class edu.stanford.nlp.util.FilteredIterator
 
main(String[]) - Static method in class edu.stanford.nlp.util.IdentityHashSet
Just for testing.
main(String[]) - Static method in class edu.stanford.nlp.util.Interner
Test method: interns its arguments and says whether they == themselves.
main(String[]) - Static method in class edu.stanford.nlp.util.IterableIterator
 
main(String[]) - Static method in class edu.stanford.nlp.util.Iterables
For internal debugging purposes only.
main(String[]) - Static method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor
Simple test case.
main(String[]) - Static method in class edu.stanford.nlp.util.logging.Redwood
Various informal tests of Redwood functionality
main(String[]) - Static method in class edu.stanford.nlp.util.Maps
 
main(String[]) - Static method in class edu.stanford.nlp.util.MemoryMonitor
 
main(String[]) - Static method in class edu.stanford.nlp.util.Sets
 
main(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Tests the string edit distance function.
main(String[]) - Static method in class edu.stanford.nlp.util.SystemUtils
 
main(String[]) - Static method in class edu.stanford.nlp.util.XMLUtils
Tests a few methods.
main(String[]) - Static method in class edu.stanford.nlp.wordseg.ChineseDictionary
 
main(String[]) - Static method in class edu.stanford.nlp.wordseg.ChineseStringUtils
just for testing
makeAnnotationFromAllNERTags(CoreMap) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
Converts NamedEntityTagAnnotation tags into EntityMentions.
makeAnnotationFromGivenNERTag(CoreMap, String, String) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
Converts NamedEntityTagAnnotation tags into EntityMentions.
makeAnswerArraysAndTagIndex(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
This routine builds the labelIndices which give the empirically legal label sequences (of length (order) at most windowSize) and the classIndex, which indexes known answer classes.
makeBlock(Collection) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
makeCharSeq(int, int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
makeClassifier(GeneralDataset<String, String>) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Creates a classifier from training data.
makeColorButton(String, Color, JPanel) - Static method in class edu.stanford.nlp.trees.tregex.gui.PreferencesPanel
Makes a color choosing button that displays only an icon with a square of the given color
makeComposite(SUTime.PartialTime, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
 
makeConsistent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
makeCopy(List<List<Mention>>) - Static method in class edu.stanford.nlp.dcoref.CoNLLMentionExtractor
 
makeCopy(int) - Method in class edu.stanford.nlp.ling.IndexedWord
 
makeDataSets(Annotation, Annotation, Annotation) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
makeDatum(List<IN>, int, List<FeatureFactory<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
 
makeDatum(List<IN>, int, List<FeatureFactory<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Makes a CRFDatum by producing features and a label from input data at a specific position, using the provided factory.
makeDatum(List<IN>, int, List<FeatureFactory<IN>>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
Make an individual Datum out of the data list info, focused at position loc.
makeDatumFromLine(String) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Entry point for taking a String (formatted as a line of a TSV file) and translating it into a Datum of features.
makeDatumFromStrings(String[]) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Takes a String[] of elements and translates them into a Datum of features.
makeDependency(Tree, Tree, Tree) - Method in interface edu.stanford.nlp.trees.DependencyTyper
Make a dependency given the Tree that is the head and the dependent, both of which are contained within root.
makeEntityExtractor(Class<? extends BasicEntityExtractor>, String) - Static method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
makeEntityMention(CoreMap, int, int, String, List<EntityMention>, int) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
makeEntityMention(CoreMap, int, int, String, String) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
makeEntityMentionIdentifier(CoreMap, int, int) - Static method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
makeExtractor(Class<Extractor>) - Static method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
makeFromEdges(Iterable<SemanticGraphEdge>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Given a list of edges, attempts to create and return a rooted SemanticGraph.
makeFromGraphs(Collection<SemanticGraph>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Given a list of graphs, constructs a new graph combined from the collection of graphs.
makeFromIndexArray(SemanticGraph, SemanticGraph, int[], double, String) - Static method in class edu.stanford.nlp.semgraph.semgrex.Alignment
Constructs and returns a new Alignment from the given hypothesis SemanticGraph to the given text (passage) SemanticGraph, using the given array of indexes.
makeFromIndexArray(SemanticGraph, SemanticGraph, int[]) - Static method in class edu.stanford.nlp.semgraph.semgrex.Alignment
 
makeFromIndexArray(SemanticGraph, SemanticGraph, int[], double) - Static method in class edu.stanford.nlp.semgraph.semgrex.Alignment
 
makeFromTree(Tree, SemanticGraphFactory.Mode, boolean, boolean, Predicate<TypedDependency>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Returns a new SemanticGraph constructed from a given Tree with given options.
makeFromTree(GrammaticalStructure, SemanticGraphFactory.Mode, boolean, boolean, Predicate<TypedDependency>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
 
makeFromTree(GrammaticalStructure) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
 
makeFromTree(Tree, SemanticGraphFactory.Mode, boolean, Predicate<TypedDependency>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
 
makeFromTree(Tree, SemanticGraphFactory.Mode, boolean, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
 
makeFromTree(Tree, boolean) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Returns a new SemanticGraph constructed from the given tree.
makeFromTree(Tree) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Returns a new SemanticGraph constructed from the given tree.
makeFromVertices(SemanticGraph, Collection<IndexedWord>) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphFactory
Given a set of vertices, and the source graph they are drawn from, create a path composed of the minimum paths between the vertices.
makeHTMLTable(String[][], String[], String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Returns an HTML table containing the matrix of Strings passed in.
makeInexact() - Method in class edu.stanford.nlp.time.SUTime.Duration
 
makeInitialBlocks() - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
makeInitialItem(int, int, int, double) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
makeInitialItems(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
makeLink() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
makeList(T...) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns a new List containing the given objects.
makeMachineReading(String[]) - Static method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
makeMachineReadingForAnnotation(GenericDataSetReader, Extractor, Extractor, Extractor, Extractor, Extractor, boolean, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.MachineReading
Creates a MR object to be used only for annotation purposes (no training) This is needed in order to integrate MachineReading with BaselineNLProcessor
makeObjectBankFromFile(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBankFromFile(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBankFromFiles(String[], DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBankFromFiles(String, String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBankFromFiles(Collection<File>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
makeObjectBankFromReader(BufferedReader, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Set up an ObjectBank that will allow one to iterate over a collection of documents obtained from the passed in Reader.
makeObjectBankFromString(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Reads a String into an ObjectBank object.
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
Unused.
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
 
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
 
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.Evalb
evalb only evaluates phrasal categories, thus constituents() does not return objects for terminals and pre-terminals.
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.EvalbByCat
 
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.FilteredEval
 
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.TaggingEval
 
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.TopMatchEval
 
makeObjects(Tree) - Method in class edu.stanford.nlp.parser.metrics.UnlabeledAttachmentEval
Build the set of dependencies for evaluation.
makePair(X, Y) - Static method in class edu.stanford.nlp.util.Pair
Returns a Pair constructed from X and Y.
makePlainTextReaderAndWriter() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Makes a DocumentReaderAndWriter based on flags.plainTextReaderAndWriter.
makePPTOintoIN - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Change TO inside PP to IN.
makeQuadruple(T1, T2, T3, T4) - Static method in class edu.stanford.nlp.util.Quadruple
Returns a Quadruple constructed from T1, T2, T3, and T4.
makeReaderAndWriter() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Makes a DocumentReaderAndWriter based on the flags the CRFClassifier was constructed with.
makeRelationExtractor(Class<? extends BasicRelationExtractor>, RelationFeatureFactory, boolean, RelationMentionFactory) - Static method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
makeRelationFeatureFactory(Class<? extends RelationFeatureFactory>, String, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
makeRelationMentionFactory(Class<RelationMentionFactory>) - Static method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
makesCopulaHead() - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Generally will be false, except for SemanticHeadFinder
makesCopulaHead() - Method in interface edu.stanford.nlp.trees.CopulaHeadFinder
 
makesCopulaHead() - Method in class edu.stanford.nlp.trees.SemanticHeadFinder
 
makeSvmLabelMap() - Method in class edu.stanford.nlp.classify.GeneralDataset
Maps our labels to labels that are compatible with svm_light
makeTextTable(Object[][], Object[], Object[], int, int, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
Returns a text table containing the matrix of objects passed in.
makeToken(String, int, int) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
Constructs a CoreLabel as a String with a corresponding BEGIN and END position.
makeToken(String, String, int, int) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
Constructs a CoreLabel as a String with a corresponding BEGIN and END position, when the original OriginalTextAnnotation is different from TextAnnotation (Does not take substring).
makeToken() - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
 
makeToken(String[], String[]) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
 
makeToken(CoreLabel) - Method in class edu.stanford.nlp.process.CoreLabelTokenFactory
 
makeToken() - Method in interface edu.stanford.nlp.process.CoreTokenFactory
 
makeToken(String[], String[]) - Method in interface edu.stanford.nlp.process.CoreTokenFactory
 
makeToken(IN) - Method in interface edu.stanford.nlp.process.CoreTokenFactory
 
makeToken(String, int, int) - Method in interface edu.stanford.nlp.process.LexedTokenFactory
Constructs a token (of arbitrary type) from a String and its position in the underlying text.
makeToken(String, int, int) - Method in class edu.stanford.nlp.process.WordTokenFactory
 
makeTransitions() - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
 
makeTransitions() - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem
Generate all possible transitions which this parsing system can take for any given configuration.
makeTriple(X, Y, Z) - Static method in class edu.stanford.nlp.util.Triple
Returns a Triple constructed from X, Y, and Z.
makeUniqueId() - Static method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
Creates a new unique id for an entity mention
makeUniqueId() - Static method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
Creates a new unique id for a relation mention
MALE_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
MaleGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MaleGazAnnotation
 
maleNameList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
malePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
maleWords - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
map - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
map(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
map - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
map(String, String) - Method in interface edu.stanford.nlp.trees.treebank.Mapper
Maps from one string representation to another.
map - Variable in class edu.stanford.nlp.util.Interner
 
MAP_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
MAP_KEYS_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
MAP_VALUE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
MAP_VALUES_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
mapDataset(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
mapDataset(GeneralDataset<L, F>, Index<L2>, Map<L, L2>, L2) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
mapDatum(Datum<L, F>, Map<L, L2>, L2) - Static method in class edu.stanford.nlp.classify.GeneralDataset
 
mapDependencies(Predicate<Dependency<Label, Label, Object>>, HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Return a set of Label-Label dependencies, represented as Dependency objects, for the Tree.
mapDependencies(Predicate<Dependency<Label, Label, Object>>, HeadFinder, String) - Method in class edu.stanford.nlp.trees.Tree
Return a set of Label-Label dependencies, represented as Dependency objects, for the Tree.
MapFactory<K,V> - Class in edu.stanford.nlp.util
A factory class for vending different sorts of Maps.
MapFactory() - Constructor for class edu.stanford.nlp.util.MapFactory
 
Mapper - Interface in edu.stanford.nlp.trees.treebank
Generic interface for mapping one string to another given some contextual evidence.
Maps - Class in edu.stanford.nlp.util
Utilities for Maps, including inverting, composing, and support for list/set values.
mapStringToArray(String) - Static method in class edu.stanford.nlp.util.StringUtils
Takes a string of the form "x1=y1,x2=y2,..." such that each y is an integer and each x is a key.
mapStringToMap(String) - Static method in class edu.stanford.nlp.util.StringUtils
Takes a string of the form "x1=y1,x2=y2,..." and returns Map
MARCH - Static variable in class edu.stanford.nlp.time.SUTime
 
mark(int) - Method in class edu.stanford.nlp.io.ReaderInputStream
Marks the read limit of the StringReader.
MARK - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "marker" (mark) grammatical relation.
markADgrandchildOfIP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: mark ADs that are grandchild of IP.
markBoundary() - Method in class edu.stanford.nlp.stats.MultiClassChunkEvalStats
 
markBoundary() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
markCC - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Mark phrases which are conjunctions.
markCC - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark phrases which are conjunctions.
markContainedVP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
 
markDiff(Tree, Tree) - Static method in class edu.stanford.nlp.trees.tregex.gui.Tdiff
Marks bracketings in t2 not in t1 using the DoAnnotation field.
markDitransV - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Attempt to record ditransitive verbs.
MARKER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "marker" grammatical relation.
markFinalStates - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether or not to mark final states in binarized grammar.
markHeadNodes(Tree) - Method in class edu.stanford.nlp.trees.TreePrint
 
MarkingAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MarkingAnnotation
 
markIPadjsubj - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
markIPconj - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: mark IPs that are conjuncts.
markIPsisDEC - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: mark IPs that are part of prenominal modifiers.
markIPsisterBA - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: mark IPs that are sister of BA.
markIPsisterVVorP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: mark IP's that are sister of VV or P.
markModifiedNP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: mark left-modified NPs (rightmost NPs with a left-side mod).
markMultiNtag - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: mark nominal tags that are part of multi-nominal rewrites.
markNPconj - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: mark NPs that are conjuncts.
markNPmodNP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: mark NP modifiers of NPs.
markovFactor - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether to do "horizontal Markovization" (as in ACL 2003 paper).
markovOrder - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
markPostverbalP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: mark P with a left aunt VV, and PP with a left sister VV.
markPostverbalPP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
markPsisterIP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: mark P's that are sister of IP.
markReflexivePRP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark reflexive PRP words.
MarkRole - Class in edu.stanford.nlp.dcoref.sievepasses
 
MarkRole() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.MarkRole
 
markStrahler - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Horton-Strahler number/dimension (Maximilian Schlund)
markSupported() - Method in class edu.stanford.nlp.io.ReaderInputStream
 
markTargetString(String, String, String, String, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
 
markTimeRanges - Variable in class edu.stanford.nlp.time.Options
 
markUnary - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Mark all unary nodes specially.
markUnaryTags - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Mark POS tags which are the sole member of their phrasal constituent.
markVPadjunct - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: mark phrases that are adjuncts of VP (these tend to be locatives/temporals, and have a specific distribution).
markVVsisterIP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: mark VVs that are sister of IP (communication & small-clause-taking verbs).
match(Vector<AceToken>) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
Matches this char seq against the full token stream As a result of this method mTokenOffset is initialized
match(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
 
match(Integer) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.IntegerAnnotationPattern
 
match(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
match(CoreMap, Map<Class, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
match(Object) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NilAnnotationPattern
 
match(Object) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NotNilAnnotationPattern
 
match(Object) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NumericAnnotationPattern
 
match(Number) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NumericAnnotationPattern
 
match(String) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NumericAnnotationPattern
 
match(List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.SequenceRegexPattern
 
match(String) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationPattern
 
match(String) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationRegexPattern
 
match(String) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringInSetAnnotationPattern
 
Match<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher
Represent a matched span over sequence of elements
Match() - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.Match
 
Match(List<K>, V, int, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.Match
 
match(List<? extends CoreMap>, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern
 
match(List<? extends CoreMap>, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
 
match(List<? extends T>, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern.IntersectMultiNodePattern
 
match(List<? extends T>, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
Tries to match sequence of nodes starting of start Returns intervals (token offsets) of when the nodes matches
match(List<? extends T>, int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern.UnionMultiNodePattern
 
match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.AnyNodePattern
 
match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.ConjNodePattern
 
match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.DisjNodePattern
 
match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.EqualsNodePattern
 
match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern
Returns true if the input node matches this pattern
match(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.NegateNodePattern
 
MATCH_LENGTH_ENDPOINTS_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
 
MATCH_LENGTH_SCORER - Static variable in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
 
MATCH_STATE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
An accepting matching state
matchCharSeqs(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
Matches all relevant mentions, i.e.
MatchCostFunction<K,V> - Interface in edu.stanford.nlp.ling.tokensregex.matcher
Represents the cost of a match
MatchCostFunction.AbstractMatchCostFunction<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher
 
MatchedExpression - Class in edu.stanford.nlp.ling.tokensregex
Matched Expression represents a chunk of text that was matched from an original segment of text).
MatchedExpression(MatchedExpression) - Constructor for class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
MatchedExpression(Interval<Integer>, Interval<Integer>, MatchedExpression.SingleAnnotationExtractor, double, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
MatchedExpression.SingleAnnotationExtractor - Class in edu.stanford.nlp.ling.tokensregex
Function that takes a CoreMap, applies a extraction function to it, to get a value Also contains information on how to construct a final annotation.
matchedExpressionGroup - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
 
MatchedGroup(BasicSequenceMatchResult.MatchedGroup) - Constructor for class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult.MatchedGroup
 
MatchedGroup(int, int, Object) - Constructor for class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult.MatchedGroup
 
MatchedGroupInfo(String, List<? extends T>, List<Object>, Object) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
 
MatchedPattern() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.MatchedPattern
 
MatchedPatterns() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.MatchedPatterns
 
MatchedPhrases() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.MatchedPhrases
 
matcher(List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.SequenceRegexPattern
 
matcher(String) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationRegexPattern
 
matcher(List<? extends CoreMap>) - Method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
Returns a TokenSequenceMatcher that can be used to match this pattern against the specified list of tokens.
matcher(SemanticGraph, IndexedWord, Map<String, IndexedWord>, Map<String, String>, VariableStrings, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
 
matcher(SemanticGraph, Alignment, SemanticGraph, boolean, IndexedWord, Map<String, IndexedWord>, Map<String, String>, VariableStrings, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
 
matcher(SemanticGraph, IndexedWord, Map<String, IndexedWord>, Map<String, String>, VariableStrings, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
matcher(SemanticGraph, Alignment, SemanticGraph, boolean, IndexedWord, Map<String, IndexedWord>, Map<String, String>, VariableStrings, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
matcher(SemanticGraph) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
Get a SemgrexMatcher for this pattern in this graph.
matcher(SemanticGraph, Map<String, IndexedWord>) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
Get a SemgrexMatcher for this pattern in this graph, with some initial conditions on the variable assignments
matcher(SemanticGraph, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
Get a SemgrexMatcher for this pattern in this graph.
matcher(SemanticGraph, Alignment, SemanticGraph) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
 
matcher(SemanticGraph, Alignment, SemanticGraph, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
 
matcher(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
Get a TregexMatcher for this pattern on this tree.
matcher(Tree, HeadFinder) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
Get a TregexMatcher for this pattern on this tree.
matcher(Map<String, Tree>, CoindexationGenerator) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.CreateSubtreeNode
 
matcher() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
 
matcher(Map<String, Tree>, CoindexationGenerator) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
 
matches(EntityBIO, int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
matches(CoreMap, CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.AttributesEqualMatchChecker
 
matches() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
Checks if the pattern matches the entire sequence
matches(T, T) - Method in interface edu.stanford.nlp.ling.tokensregex.SequencePattern.NodesMatchChecker
 
matches(double, double) - Static method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
matches() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Does the pattern match the graph? It's actually closer to java.util.regex's "lookingAt" in that the root of the graph has to match the root of the pattern but the whole tree does not have to be "accounted for".
matches() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Does the pattern match the tree? It's actually closer to java.util.regex's "lookingAt" in that the root of the tree has to match the root of the pattern but the whole tree does not have to be "accounted for".
matches(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Say whether this regular expression matches this String.
matchesAt(IndexedWord) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Rests the matcher and tests if it matches in the graph when rooted at node.
matchesAt(Tree) - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Rests the matcher and tests if it matches on the tree when rooted at node.
matchesChanged() - Method in interface edu.stanford.nlp.trees.tregex.gui.MatchesPanel.MatchesPanelListener
 
matchesChanged() - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
Called by MatchesPanel to alert the frame when the matching trees have changed
MatchesPanel - Class in edu.stanford.nlp.trees.tregex.gui
Component for displaying the list of trees that match the query.
MatchesPanel.MatchesPanelListener - Interface in edu.stanford.nlp.trees.tregex.gui
Allows other panels to be updated about changes to the matches panel (better abstraction)
MatchException - Exception in edu.stanford.nlp.ie.machinereading.domains.ace.reader
 
MatchException(String) - Constructor for exception edu.stanford.nlp.ie.machinereading.domains.ace.reader.MatchException
 
matchFindType - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
 
matchLowerCaseContext - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Lowercase the context words/lemmas
matchNERIncentive - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
matchPatternToVertex(String, IndexedWord, boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
matchPatternToVertex(String, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
matchResults - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
 
matchWithResult(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
matchWithResult(List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.SequenceRegexPattern
 
matchWithResult(String) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationRegexPattern
 
matchWithResult(T) - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern
Returns result associated with the match
matchWithResults - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
 
max(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
max(Collection<Double>) - Static method in class edu.stanford.nlp.math.ArrayMath
 
max(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
max(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
max(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the smallest element of the matrix
max(int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
max() that works on three integers.
max(Collection<Integer>) - Static method in class edu.stanford.nlp.math.SloppyMath
 
max(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the greater of two int values.
max(float, float) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the greater of two float values.
max(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the greater of two double values.
MAX - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
max(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the value of the maximum entry in this counter.
max() - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the largest count in this Counter.
max(SUTime.Duration, SUTime.Duration) - Static method in class edu.stanford.nlp.time.SUTime.Duration
 
max(SUTime.Time, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
 
max(E, E) - Static method in class edu.stanford.nlp.util.Interval
 
MAX_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
MAX_ITEMS - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
The maximum number of edges and hooks combined that the factored parser will build before giving up.
MAX_LEGAL - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
MAX_LEXICON_LENGTH - Static variable in class edu.stanford.nlp.wordseg.ChineseDictionary
 
MAX_MULTI_WORD_SIZE - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
MAX_SWAPS - Static variable in class edu.stanford.nlp.util.MemoryMonitor
 
MAX_TDIFF_TREEBANKS - Static variable in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
 
maxAllowedChromaticSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
maxBeamSize - Variable in class edu.stanford.nlp.util.Beam
 
MAXDIST_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
maxDocSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
MaxentTagger - Class in edu.stanford.nlp.tagger.maxent
The main class for users to run, train, and test the part of speech tagger.
MaxentTagger() - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
MaxentTagger(TaggerConfig) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
MaxentTagger(String) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
Constructor for a tagger, loading a model stored in a particular file, classpath resource, or URL.
MaxentTagger(String, Properties) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
Constructor for a tagger using a model stored in a particular file, with options taken from the supplied TaggerConfig.
MaxentTagger(String, Properties, boolean) - Constructor for class edu.stanford.nlp.tagger.maxent.MaxentTagger
Initializer that loads the tagger.
maxentTagger - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
maxExtractNumWords - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Maximum number of words to learn
maxID - Variable in class edu.stanford.nlp.dcoref.MentionExtractor
The maximum mention ID: for preventing duplicated mention ID assignment
maximalProjection(Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
returns the maximal projection of head in root given a HeadFinder
maximumValue(DateTimeFieldType, ReadableDateTime) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
Return the maximum value of a field, closest to the reference time
maxIndex(List<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
maxInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Places the maximum of first and second keys values in the first counter.
maxIter - Variable in class edu.stanford.nlp.parser.nndep.Config
Maximum number of iterations for training
maxIterations - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
maxLeft() - Method in class edu.stanford.nlp.sequences.Clique
Convenience method for finding the most far left relative index.
maxLeft - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
maxLength - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
The maximum sentence length (including punctuation, etc.) to parse.
maxNGramLeng - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
maxQNItr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
maxRight() - Method in class edu.stanford.nlp.sequences.Clique
Convenience method for finding the most far right relative index.
maxRight - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
maxSpanForTags - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
The largest span to consider for word-hood.
maxTime - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
maxTime - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
maxTime - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
maxTime() - Method in class edu.stanford.nlp.pipeline.DependencyParseAnnotator
 
maxTime() - Method in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
 
maxTime() - Method in class edu.stanford.nlp.pipeline.ParserAnnotator
 
maxTime() - Method in class edu.stanford.nlp.pipeline.SentenceAnnotator
 
maxTrainTimeSeconds - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
maxTrainTimeSeconds - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
 
maxUtter - Variable in class edu.stanford.nlp.dcoref.Document
 
maxWaitTimeInMillis() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
 
maxWaitTimeInMillis() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
 
maxWaitTimeInMillis() - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
 
maxWindow4Pattern - Variable in class edu.stanford.nlp.patterns.surface.CreatePatterns
Consider contexts less than or equal to these many tokens -- total of left and right contexts be can double of this.
maxY - Variable in class edu.stanford.nlp.maxent.Experiments
 
MAY - Static variable in class edu.stanford.nlp.time.SUTime
 
mContent - Variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMentionArgument
 
mCount - Variable in class edu.stanford.nlp.ie.machinereading.common.StringDictionary.IndexAndCount
 
mean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
mean(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
mean(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the mean of all the counts (totalCount/size).
median(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
MEDIUM_BATCH - Static variable in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
memory - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
MemoryEvaluator - Class in edu.stanford.nlp.optimization
Evaluate current memory usage
MemoryEvaluator() - Constructor for class edu.stanford.nlp.optimization.MemoryEvaluator
 
MemoryMonitor - Class in edu.stanford.nlp.util
Utilities for monitoring memory use, including peak memory use.
MemoryMonitor() - Constructor for class edu.stanford.nlp.util.MemoryMonitor
 
MemoryMonitor(long) - Constructor for class edu.stanford.nlp.util.MemoryMonitor
 
MemoryMonitor.PeakMemoryMonitor - Class in edu.stanford.nlp.util
This class offers a simple way to track the peak memory used by a program.
memoryThrift - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
returns a MemoryTreebank appropriate to the treebank source
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
 
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Uses a MemoryTreebank with a CHTBTokenizer and a BobChrisTreeNormalizer
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
Allows you to read in trees from the source you want.
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
 
memoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
memoryTreebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
returns a MemoryTreebank appropriate to the treebank source
MemoryTreebank - Class in edu.stanford.nlp.trees
A MemoryTreebank object stores a corpus of examples with given tree structures in memory (as a List).
MemoryTreebank() - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
Create a new tree bank.
MemoryTreebank(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
Create a new tree bank, using a specific TreeNormalizer.
MemoryTreebank(String) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
Create a new tree bank, set the encoding for file access
MemoryTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
Create a new tree bank.
MemoryTreebank(TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
Create a new tree bank.
MemoryTreebank(List<Tree>, TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
Create a new tree bank.
MemoryTreebank(int) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
Create a new Treebank.
MemoryTreebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.MemoryTreebank
Create a new tree bank.
mEnd - Variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
End position
Mention - Class in edu.stanford.nlp.dcoref
One mention for the SieveCoreferenceSystem.
Mention() - Constructor for class edu.stanford.nlp.dcoref.Mention
 
Mention(int, int, int, SemanticGraph) - Constructor for class edu.stanford.nlp.dcoref.Mention
 
Mention(int, int, int, SemanticGraph, List<CoreLabel>) - Constructor for class edu.stanford.nlp.dcoref.Mention
 
Mention(int, int, int, SemanticGraph, List<CoreLabel>, Tree) - Constructor for class edu.stanford.nlp.dcoref.Mention
 
MENTION_FINDER_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
MENTION_FINDER_PROPFILE_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
MentionComparator() - Constructor for class edu.stanford.nlp.dcoref.CorefChain.MentionComparator
 
MentionExtractor - Class in edu.stanford.nlp.dcoref
Generic mention extractor from a corpus.
MentionExtractor(Dictionaries, Semantics) - Constructor for class edu.stanford.nlp.dcoref.MentionExtractor
 
mentionFinder - Variable in class edu.stanford.nlp.dcoref.MentionExtractor
 
mentionheadPositions - Variable in class edu.stanford.nlp.dcoref.Document
 
mentionID - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
 
mentionID - Variable in class edu.stanford.nlp.dcoref.Mention
 
MentionMatcher - Interface in edu.stanford.nlp.dcoref
Are two mentions compatible
mentionMatcher - Variable in class edu.stanford.nlp.dcoref.sievepasses.NameMatch
 
mentionMatchesSpeaker(Mention, SpeakerInfo, boolean) - Static method in class edu.stanford.nlp.dcoref.Rules
 
MentionsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MentionsAnnotation
 
mentionSpan - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
 
mentionSubTree - Variable in class edu.stanford.nlp.dcoref.Mention
 
MentionTokenAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MentionTokenAnnotation
 
mentionType - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
 
mentionType - Variable in class edu.stanford.nlp.dcoref.Mention
 
merge(HTKLatticeReader.LatticeWord) - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
 
merge(Classifier.Cost) - Method in class edu.stanford.nlp.parser.nndep.Classifier.Cost
Merge the given Cost data with the data in this instance.
merge(List<? extends CoreMap>, int, int) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
 
merge(List<? extends CoreMap>, List<? extends HasInterval<Integer>>) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
 
merge(List<? extends CoreMap>, List<M>, Function<M, Interval<Integer>>) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
 
merge(Iterable<V1>, Iterable<V2>, Iterables.IncrementComparator<V1, V2>) - Static method in class edu.stanford.nlp.util.Iterables
Iterates over pairs of objects from two (sorted) iterators such that each pair a \in iter1, b \in iter2 returned has comparator.compare(a,b)==0.
merge(Iterable<V>, Iterable<V>, Comparator<V>) - Static method in class edu.stanford.nlp.util.Iterables
Same as Iterables.merge(Iterable, Iterable, IncrementComparator) but using the given (symmetric) comparator.
merge(Iterable<V1>, Iterable<V2>, Iterable<V3>, Iterables.IncrementComparator<V1, V2>, Iterables.IncrementComparator<V1, V3>) - Static method in class edu.stanford.nlp.util.Iterables
Iterates over triples of objects from three (sorted) iterators such that for every returned triple a (from iter1), b (from iter2), c (from iter3) satisfies the constraint that comparator.compare(a,b) == comparator.compare(a,c) == 0.
merge(Iterable<V>, Iterable<V>, Iterable<V>, Comparator<V>) - Static method in class edu.stanford.nlp.util.Iterables
mergeAcronymCache(CorefCluster, CorefCluster) - Method in class edu.stanford.nlp.dcoref.Document
 
MergeAction() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.MergeAction
 
MergeAction(CoreMapAggregator) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.MergeAction
 
mergeChunks(List<CoreMap>, String, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Merge chunks from chunkIndexStart to chunkIndexEnd (exclusive) and replace them in the list
mergeClusters(CorefCluster, CorefCluster) - Static method in class edu.stanford.nlp.dcoref.CorefCluster
merge 2 clusters: to = to + from
mergeEvent(EventMention, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
mergeGroup() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
 
mergeGroup(int) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
 
mergeIncompatibles(CorefCluster, CorefCluster) - Method in class edu.stanford.nlp.dcoref.Document
 
mergeLabels(Tree, List<CoreLabel>) - Static method in class edu.stanford.nlp.dcoref.MentionExtractor
Sets the label of the leaf nodes to be the CoreLabels in the given sentence The original value() of the Tree nodes is preserved
mergeList(List<? extends T>, Collection<M>, Function<M, Interval<Integer>>, Function<List<? extends T>, T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
mergeList(List<? extends T>, List<? extends HasInterval<Integer>>, Function<List<? extends T>, T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
mergeListWithSortedMatched(List<? extends T>, List<? extends HasInterval<Integer>>, Function<List<? extends T>, T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
mergeListWithSortedMatchedPreAggregated(List<? extends T>, List<? extends T>, Function<T, Interval<Integer>>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
mergeNNVV - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: merge NN and VV.
mergeStates() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
mergeTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
mergeTransitions(Tree, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>, double[], Map<String, int[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
Given a tree and the original set of transition probabilities from one state to the next in the tree, along with a list of the weights in the tree and a count of the mass in each substate at the current node, this method merges the probabilities as necessary.
mergeType - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
 
message(int) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
 
message(int) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
 
message(int) - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
 
meta - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
MetaClass - Class in edu.stanford.nlp.util
A meta class using Java's reflection library.
MetaClass(String) - Constructor for class edu.stanford.nlp.util.MetaClass
Creates a new MetaClass producing objects of the given type
MetaClass(Class<?>) - Constructor for class edu.stanford.nlp.util.MetaClass
Creates a new MetaClass producing objects of the given type
MetaClass.ClassCreationException - Exception in edu.stanford.nlp.util
 
MetaClass.ClassFactory<T> - Class in edu.stanford.nlp.util
 
MetaClass.ConstructorNotFoundException - Exception in edu.stanford.nlp.util
 
method - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
MethodCallExpression(Env, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
MethodCallExpression(String, Expression, List<Expression>, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
 
mExtent - Variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMention
 
mf - Variable in class edu.stanford.nlp.util.CollectionValuedMap
 
mf - Variable in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
 
mId - Variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceElement
Unique identifier for this element
mid() - Method in class edu.stanford.nlp.time.SUTime.Range
 
MID_DOT_REGEX_STR - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
MIDNIGHT - Static variable in class edu.stanford.nlp.time.SUTime
 
MILLENNIUM - Static variable in class edu.stanford.nlp.time.SUTime
 
millis - Variable in class edu.stanford.nlp.time.SUTime.IsoTime
 
MILLIS - Static variable in class edu.stanford.nlp.time.SUTime
 
min(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
min(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
min(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
min(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the smallest element of the matrix
min(int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the minimum of three int values.
min(float, float) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the smaller of two float values.
min(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns the smaller of two double values.
MIN - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
min(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the value of the smallest entry in this counter.
min() - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the smallest count in this Counter.
min(SUTime.Duration, SUTime.Duration) - Static method in class edu.stanford.nlp.time.SUTime.Duration
 
min(SUTime.Time, SUTime.Time) - Static method in class edu.stanford.nlp.time.SUTime.Time
 
min() - Method in class edu.stanford.nlp.util.ArrayHeap
Finds the object with the minimum key and returns it, without modifying the heap.
min() - Method in interface edu.stanford.nlp.util.Heap
Returns the minimum Object in this heap.
min(E, E) - Static method in class edu.stanford.nlp.util.Interval
 
MIN_FEATURE_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
MIN_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
MIN_PROBABILITY - Static variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
mIndex - Variable in class edu.stanford.nlp.ie.machinereading.common.StringDictionary.IndexAndCount
 
minimaldebug - Static variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
minimalSetup() - Static method in class edu.stanford.nlp.util.logging.StanfordRedwoodConfiguration
 
minimize() - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.CGMinimizer
 
minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.CGMinimizer
 
minimize(Function<Double, Double>, double, double, double) - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
minimize(Function<Double, Double>) - Method in class edu.stanford.nlp.optimization.GoldenSectionLineSearch
 
minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.HybridMinimizer
 
minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.HybridMinimizer
 
minimize(Function<Double, Double>) - Method in interface edu.stanford.nlp.optimization.LineSearcher
Attempts to find an unconstrained minimum of the objective function starting at initial, within functionTolerance.
minimize(T, double, double[]) - Method in interface edu.stanford.nlp.optimization.Minimizer
Attempts to find an unconstrained minimum of the objective function starting at initial, within functionTolerance.
minimize(T, double, double[], int) - Method in interface edu.stanford.nlp.optimization.Minimizer
 
minimize(DiffFloatFunction, float, float[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
minimize(DiffFunction, double, double[], int, QNMinimizer.QNInfo) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
minimize(Function, double, double[]) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
minimize(Function, double, double[], int) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
minimize(DiffFunction, double, double[]) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
minimize(DiffFunction, double, double[], int) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
minimize(Function, double, double[]) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
minimize(Function, double, double[]) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
minimize(Function, double, double[], int) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
minimizeFA(TransducerGraph) - Method in interface edu.stanford.nlp.fsm.AutomatonMinimizer
 
minimizeFA(TransducerGraph) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
Minimizer<T extends Function> - Interface in edu.stanford.nlp.optimization
The interface for unconstrained function minimizers.
minimumValue(DateTimeFieldType, ReadableDateTime) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
Return the minimum value of a field, closest to the reference time
minInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Places the minimum of first and second keys values in the first counter.
minLen4FuzzyForPattern - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Minimum length of words that can be matched fuzzily
minLineCountForTrackNameReminder - Variable in class edu.stanford.nlp.util.logging.OutputHandler
Number of lines above which the closing brace of a track shows the name of the track
minPosPhraseSupportForPat - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Remove patterns that have number of positive words less than this.
minTokens - Variable in class edu.stanford.nlp.dcoref.sievepasses.NameMatch
 
minUnlabPhraseSupportForPat - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Remove patterns that have number of unlabeled words is less than this.
MINUS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
minus(DoubleAD, DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
 
minusConst(DoubleAD, double) - Static method in class edu.stanford.nlp.math.ADMath
 
minusEquals(DoubleAD) - Method in class edu.stanford.nlp.math.DoubleAD
 
minusEqualsConst(double) - Method in class edu.stanford.nlp.math.DoubleAD
 
minute - Variable in class edu.stanford.nlp.time.SUTime.IsoTime
 
MINUTE - Static variable in class edu.stanford.nlp.time.SUTime
 
minWindow4Pattern - Variable in class edu.stanford.nlp.patterns.surface.CreatePatterns
Consider contexts longer or equal to these many tokens.
miscPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
MISSING_PHRASAL - Static variable in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
 
MISSING_POS - Static variable in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
 
mixedCaseMapFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
mkT2DArray(Class<?>, int[]) - Static method in class edu.stanford.nlp.util.ErasureUtils
 
mkTArray(Class<?>, int) - Static method in class edu.stanford.nlp.util.ErasureUtils
Makes an array based on klass, but casts it to be of type T[].
MLEDependencyGrammar - Class in edu.stanford.nlp.parser.lexparser
 
MLEDependencyGrammar(TreebankLangParserParams, boolean, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
MLEDependencyGrammar(TagProjection, TreebankLangParserParams, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
MLEDependencyGrammarExtractor - Class in edu.stanford.nlp.parser.lexparser
Gathers statistics on tree dependencies and then passes them to an MLEDependencyGrammar for dependency grammar construction.
MLEDependencyGrammarExtractor(Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
 
MLEDependencyGrammarSmoothingParams() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Give the parameters for smoothing in the MLEDependencyGrammar.
MLEDependencyGrammarSmoothingParams() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
MLEDependencyGrammarSmoothingParams() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Give the parameters for smoothing in the MLEDependencyGrammar.
mNewLineCount - Variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
Counts how many new lines appear between this token and the previous one in the stream
mod - Variable in class edu.stanford.nlp.time.SUTime.Temporal
 
MOD_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
MODAL_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "modal" grammatical relation.
modals - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
ModCollinsHeadFinder - Class in edu.stanford.nlp.trees
Implements a variant on the HeadFinder found in Michael Collins' 1999 thesis.
ModCollinsHeadFinder() - Constructor for class edu.stanford.nlp.trees.ModCollinsHeadFinder
 
ModCollinsHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.ModCollinsHeadFinder
 
mode(Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns the mode in the Collection.
modes(Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Returns a list of all modes in the Collection.
MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "modifier" grammatical relation.
MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "xclausal complement" (xcomp) grammatical relation.
MONDAY - Static variable in class edu.stanford.nlp.time.SUTime
 
moneyPercentNumberPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
MONITOR_DIST_CMD_FINISHED_WAIT_MILLIS - Static variable in class edu.stanford.nlp.dcoref.Constants
 
monitorX(double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
month - Variable in class edu.stanford.nlp.time.SUTime.IsoDate
Month of Year
MONTH - Static variable in class edu.stanford.nlp.time.SUTime
 
MONTH_OF_HALF_YEAR - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
 
MonthAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MonthAnnotation
 
MONTHLY - Static variable in class edu.stanford.nlp.time.SUTime
 
MonthOfHalfYear - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
MonthOfQuarter - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
moreRepresentativeThan(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
 
MORNING - Static variable in class edu.stanford.nlp.time.SUTime
 
MORNING_TWILIGHT - Static variable in class edu.stanford.nlp.time.SUTime
 
morpha(Properties, boolean) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
Annotate lemmas
MorphaAnnotator - Class in edu.stanford.nlp.pipeline
This class will add the lemmas of all the words to the Annotation.
MorphaAnnotator() - Constructor for class edu.stanford.nlp.pipeline.MorphaAnnotator
 
MorphaAnnotator(boolean) - Constructor for class edu.stanford.nlp.pipeline.MorphaAnnotator
 
morphBoundary - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
 
morphFeatureFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
morphFeatureSpec() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a morphological feature specification for words in this language.
morphFeatureSpec() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
 
morphFeatureSpec() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
 
morphFeatureSpec() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
The morphological feature specification for the language.
morphId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
MORPHO_MARK - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
MorphoCaseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoCaseAnnotation
 
MorphoFeatures - Class in edu.stanford.nlp.international.morph
Holds a set of morphosyntactic features for a given surface form.
MorphoFeatures() - Constructor for class edu.stanford.nlp.international.morph.MorphoFeatures
 
MorphoFeatures(MorphoFeatures) - Constructor for class edu.stanford.nlp.international.morph.MorphoFeatures
 
MorphoFeatureSpecification - Class in edu.stanford.nlp.international.morph
Morphological feature specification for surface forms in a given language.
MorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
MorphoFeatureSpecification.MorphoFeatureType - Enum in edu.stanford.nlp.international.morph
 
MorphoGenAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoGenAnnotation
 
Morphology - Class in edu.stanford.nlp.process
Morphology computes the base form of English words, by removing just inflections (not derivational morphology).
Morphology() - Constructor for class edu.stanford.nlp.process.Morphology
 
Morphology(Reader) - Constructor for class edu.stanford.nlp.process.Morphology
Process morphologically words from a Reader.
Morphology(Reader, int) - Constructor for class edu.stanford.nlp.process.Morphology
 
MorphoNumAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoNumAnnotation
 
MorphoPersAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoPersAnnotation
 
MOST_FREQ - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
MostFreqAggregator() - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.MostFreqAggregator
 
MostFreqAggregator(Set<Object>) - Constructor for class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator.MostFreqAggregator
 
mouseDragged(MouseEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel.FilenameMouseInputAdapter
 
mousePressed(MouseEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel.FilenameMouseInputAdapter
 
mRole - Variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMentionArgument
 
mStart - Variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
Start position
mu - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
MUC_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
MUCMentionExtractor - Class in edu.stanford.nlp.dcoref
Extracts <COREF> mentions from a file annotated in MUC format.
MUCMentionExtractor(Dictionaries, Properties, Semantics) - Constructor for class edu.stanford.nlp.dcoref.MUCMentionExtractor
 
MUCMentionExtractor(Dictionaries, Properties, Semantics, LogisticClassifier<String, String>) - Constructor for class edu.stanford.nlp.dcoref.MUCMentionExtractor
 
mult(DoubleAD, DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
 
multConst(DoubleAD, double) - Static method in class edu.stanford.nlp.math.ADMath
 
MULTI_WORD_EXPRESSION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "multi-word expression" grammatical relation.
MultiClassAccuracyStats<L> - Class in edu.stanford.nlp.stats
 
MultiClassAccuracyStats() - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
MultiClassAccuracyStats(int) - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
MultiClassAccuracyStats(String) - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
MultiClassAccuracyStats(String, int) - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
MultiClassAccuracyStats(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>, String) - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
MultiClassAccuracyStats(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>, String, int) - Constructor for class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
MultiClassChunkEvalStats - Class in edu.stanford.nlp.stats
Calculates phrase based precision and recall (similar to conlleval) Handles various encodings such as IO, IOB, IOE, BILOU, SBEIO, [] Usage: java edu.stanford.nlp.stats.MultiClassChunkEvalStats [options] < filename -r - Do raw token based evaluation -d - Specifies delimiter to use (instead of tab) -b - Boundary token (default is -X- ) -t - Default tag to use if tag is not prefixed (i.e.
MultiClassChunkEvalStats(Classifier<String, F>, GeneralDataset<String, F>, String) - Constructor for class edu.stanford.nlp.stats.MultiClassChunkEvalStats
 
MultiClassChunkEvalStats(String) - Constructor for class edu.stanford.nlp.stats.MultiClassChunkEvalStats
 
MultiClassChunkEvalStats(Index<String>, String) - Constructor for class edu.stanford.nlp.stats.MultiClassChunkEvalStats
 
MultiClassPrecisionRecallExtendedStats<L> - Class in edu.stanford.nlp.stats
Extension of MultiClassPrecisionRecallStats that also computes accuracy
MultiClassPrecisionRecallExtendedStats(Classifier<L, F>, GeneralDataset<L, F>, L) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
MultiClassPrecisionRecallExtendedStats(L) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
MultiClassPrecisionRecallExtendedStats(Index<L>, L) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats - Class in edu.stanford.nlp.stats
 
MultiClassPrecisionRecallExtendedStats.StringStringConverter - Class in edu.stanford.nlp.stats
 
MultiClassPrecisionRecallStats<L> - Class in edu.stanford.nlp.stats
 
MultiClassPrecisionRecallStats(Classifier<L, F>, GeneralDataset<L, F>, L) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
MultiClassPrecisionRecallStats(L) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
MultiClassStringLabelStats(Classifier<String, F>, GeneralDataset<String, F>, String) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats
 
MultiClassStringLabelStats(String) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats
 
MultiClassStringLabelStats(Index<String>, String) - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.MultiClassStringLabelStats
 
MultiCoreMapNodePattern - Class in edu.stanford.nlp.ling.tokensregex
Pattern for matching across multiple core maps.
MultiCoreMapNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern
 
MultiCoreMapNodePattern(NodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern
 
MultiCoreMapNodePattern(NodePattern, Map<Class, CoreMapAttributeAggregator>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern
 
MultiCoreMapNodePattern.StringSequenceAnnotationPattern - Class in edu.stanford.nlp.ling.tokensregex
 
MulticoreWrapper<I,O> - Class in edu.stanford.nlp.util.concurrent
Provides convenient multicore processing for threadsafe objects.
MulticoreWrapper(int, ThreadsafeProcessor<I, O>) - Constructor for class edu.stanford.nlp.util.concurrent.MulticoreWrapper
Constructor.
MulticoreWrapper(int, ThreadsafeProcessor<I, O>, boolean) - Constructor for class edu.stanford.nlp.util.concurrent.MulticoreWrapper
Constructor.
MultiMatch<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher
Represent multimatches
MultiMatch() - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
 
MultiMatch(List<K>, V, int, int, List<Match<K, V>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
 
multiMatchDeltaCost(List<K>, V, List<Match<K, V>>, List<Match<K, V>>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MatchCostFunction.AbstractMatchCostFunction
 
multiMatchDeltaCost(List<K>, V, List<Match<K, V>>, List<Match<K, V>>) - Method in interface edu.stanford.nlp.ling.tokensregex.matcher.MatchCostFunction
 
MultiNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
Matches potentially multiple node (i.e does match across multiple tokens)
MultiNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
 
MultiNodePattern(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
MultiNodePattern.IntersectMultiNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
 
MultiNodePattern.UnionMultiNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
 
MultiNodePatternExpr(MultiNodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
 
MultiPatternMatcher<T> - Class in edu.stanford.nlp.ling.tokensregex
Matcher that takes in multiple patterns
MultiPatternMatcher(MultiPatternMatcher.SequencePatternTrigger<T>, Collection<? extends SequencePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
 
MultiPatternMatcher(MultiPatternMatcher.SequencePatternTrigger<T>, SequencePattern<T>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
 
MultiPatternMatcher(Collection<SequencePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
 
MultiPatternMatcher(SequencePattern<T>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher
 
MultiPatternMatcher.BasicSequencePatternTrigger<T> - Class in edu.stanford.nlp.ling.tokensregex
Simple SequencePatternTrigger that looks at each node, and identifies which patterns may potentially match each node, and then aggregates (union) all these patterns together.
MultiPatternMatcher.NodePatternTrigger<T> - Interface in edu.stanford.nlp.ling.tokensregex
A function which returns a collections of patterns that may match when given a single node from a larger sequence.
MultiPatternMatcher.SequencePatternTrigger<T> - Interface in edu.stanford.nlp.ling.tokensregex
A function which returns a collections of patterns that may match when a sequence of nodes.
multiply(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Scales the values in this array by c.
multiply(float[], float) - Static method in class edu.stanford.nlp.math.ArrayMath
Scales the values in this array by c.
MULTIPLY_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
multiplyBy(int) - Method in class edu.stanford.nlp.time.SUTime.Duration
 
multiplyBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationRange
 
multiplyBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
 
multiplyBy(int) - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
 
multiplyDurationBy(int) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
 
multiplyInEnd(FactorTable) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
multiplyInEnd(FloatFactorTable) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
multiplyInFront(FactorTable) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
multiplyInFront(FloatFactorTable) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
multiplyInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Scales the values in this array by b.
multiplyInPlace(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Scales the values in this array by b.
multiplyInPlace(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Multiplies each value in target by the given multiplier, in place.
multiplyInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Multiplies each value in target by the count of the key in mult, in place.
multiplyInto(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
multiThreadClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
multiThreadGibbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
multiThreadGrad - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
multiThreadGrad - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
multiThreadGradient(List<Integer>, boolean) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
multiThreadPerceptron - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
MultiTokenTag - Class in edu.stanford.nlp.ling
Represents a tag for a multi token expression Can be used to annotate individual tokens without having nested annotations
MultiTokenTag(MultiTokenTag.Tag, int) - Constructor for class edu.stanford.nlp.ling.MultiTokenTag
 
MultiTokenTag.Tag - Class in edu.stanford.nlp.ling
 
MultiWordStringMatcher - Class in edu.stanford.nlp.ling.tokensregex
Finds multi word strings in a piece of text
MultiWordStringMatcher(MultiWordStringMatcher.MatchType) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
 
MultiWordStringMatcher(String) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
 
MultiWordStringMatcher.LongestStringComparator - Class in edu.stanford.nlp.ling.tokensregex
 
MultiWordStringMatcher.MatchType - Enum in edu.stanford.nlp.ling.tokensregex
if matchType is EXCT: match exact string
if matchType is EXCTWS: match exact string, except whitespace can match multiple whitespaces
if matchType is LWS: match case insensitive string, except whitespace can match multiple whitespaces
if matchType is LNRM: disregards punctuation, does case insensitive match
if matchType is REGEX: interprets string as regex already
MutableDouble - Class in edu.stanford.nlp.util
A class for Double objects that you can change.
MutableDouble() - Constructor for class edu.stanford.nlp.util.MutableDouble
 
MutableDouble(double) - Constructor for class edu.stanford.nlp.util.MutableDouble
 
MutableDouble(Number) - Constructor for class edu.stanford.nlp.util.MutableDouble
 
MutableInteger - Class in edu.stanford.nlp.util
A class for Integer objects that you can change.
MutableInteger() - Constructor for class edu.stanford.nlp.util.MutableInteger
 
MutableInteger(int) - Constructor for class edu.stanford.nlp.util.MutableInteger
 
MutableLong - Class in edu.stanford.nlp.util
A class for Long objects that you can change.
MutableLong() - Constructor for class edu.stanford.nlp.util.MutableLong
 
MutableLong(int) - Constructor for class edu.stanford.nlp.util.MutableLong
 
mutex - Variable in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
 
MW_PHRASE_TAG - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
Tag provided to constituents which contain words from MW tokens
MW_TAG - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
Tag provided to words which are extracted from a multi-word token into their own independent nodes
mWord - Variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
The lexem
myMaxLength - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
MyXMLManager() - Constructor for class edu.stanford.nlp.time.JollyDayHolidays.MyXMLManager
 

N

name - Variable in class edu.stanford.nlp.ling.MultiTokenTag.Tag
 
name - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
name - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
Name of the rule
name - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
 
name - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
 
name - Variable in class edu.stanford.nlp.pipeline.Annotator.Requirement
 
name() - Method in interface edu.stanford.nlp.trees.Dependency
Names the type of dependency (subject, instrument, ...).
name() - Method in class edu.stanford.nlp.trees.NamedDependency
 
name() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
name - Variable in class edu.stanford.nlp.util.PropertiesUtils.Property
 
name - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
NamedDependency - Class in edu.stanford.nlp.trees
An individual dependency between a head and a dependent.
NamedDependency(String, String, Object) - Constructor for class edu.stanford.nlp.trees.NamedDependency
 
NamedDependency(Label, Label, Object) - Constructor for class edu.stanford.nlp.trees.NamedDependency
 
NamedEntityAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.NamedEntityAnnotation
 
NamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation
 
NamedGroupMatchReplacement(String) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.NamedGroupMatchReplacement
 
NamedValueFunction(String) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
 
NameMatch - Class in edu.stanford.nlp.dcoref.sievepasses
Use name matcher - match full names only
NameMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.NameMatch
 
NameMatchPrecise - Class in edu.stanford.nlp.dcoref.sievepasses
Use name matcher - more precise match
NameMatchPrecise() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.NameMatchPrecise
 
nargs - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
 
nargs - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
 
nargs - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
 
narrowLExtent - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
narrowRExtent - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
naTag - Static variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
NBLinearClassifierFactory<L,F> - Class in edu.stanford.nlp.classify
Provides a medium-weight implementation of Bernoulli (or binary) Naive Bayes via a linear classifier.
NBLinearClassifierFactory() - Constructor for class edu.stanford.nlp.classify.NBLinearClassifierFactory
Create a ClassifierFactory.
NBLinearClassifierFactory(double) - Constructor for class edu.stanford.nlp.classify.NBLinearClassifierFactory
Create a ClassifierFactory.
NBLinearClassifierFactory(double, boolean) - Constructor for class edu.stanford.nlp.classify.NBLinearClassifierFactory
Create a ClassifierFactory.
nChooseK(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Computes n choose k in an efficient way.
NE_signatures - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
neatExit() - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Close tracks when the JVM shuts down.
neg_relations - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
NEGATE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
NegateNodePattern(NodePattern<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.NegateNodePattern
 
NEGATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "negation modifier" grammatical relation.
NEGATION_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "negative modifier" (neg) grammatical relation.
negations - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
negIndex - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
negLabel - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
negPatternsandWords4Label - Variable in class edu.stanford.nlp.patterns.surface.ScorePatterns
 
NegraHeadFinder - Class in edu.stanford.nlp.trees.international.negra
HeadFinder for the Negra Treebank.
NegraHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
 
NegraHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
 
NegraLabel - Class in edu.stanford.nlp.trees.international.negra
 
NegraLabel(String) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraLabel
 
NegraLabel(String, Map<String, String>) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraLabel
 
NegraLabel(String, String, Map<String, String>) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraLabel
 
NegraPennLanguagePack - Class in edu.stanford.nlp.trees.international.negra
Language pack for Negra and Tiger treebanks after conversion to PTB format.
NegraPennLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Gives a handle to the TreebankLanguagePack
NegraPennLanguagePack(boolean) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Gives a handle to the TreebankLanguagePack
NegraPennLanguagePack(boolean, char) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Make a new language pack with grammatical functions used based on the value of leaveGF and marked with the character gfChar.
NegraPennTokenizer - Class in edu.stanford.nlp.trees.international.negra
Produces a tokenizer for the NEGRA corpus in context-free Penn Treebank format.
NegraPennTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTokenizer
 
NegraPennTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
Parameter file for parsing the Penn Treebank format of the Negra Treebank (German).
NegraPennTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
 
NegraPennTreeNormalizer - Class in edu.stanford.nlp.trees.international.negra
Tree normalizer for Negra Penn Treebank format.
NegraPennTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
 
NegraPennTreeNormalizer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
 
NegraPennTreeNormalizer(TreebankLanguagePack, int) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
 
NegraPennTreeReaderFactory - Class in edu.stanford.nlp.trees.international.negra
A TreeReaderFactory for the Negra and Tiger treebanks in their Penn Treebank compatible export format.
NegraPennTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
 
NegraPennTreeReaderFactory(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
 
NegraPennTreeReaderFactory(int, boolean, boolean, TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
 
negraSemanticHeadFinder() - Static method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
Vends a "semantic" NegraHeadFinder---one that disprefers modal/auxiliary verbs as the heads of S or VP.
NeighborsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NeighborsAnnotation
 
ner() - Method in interface edu.stanford.nlp.ling.AbstractCoreLabel
 
ner() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the named entity class of the label (or null if none).
ner() - Method in class edu.stanford.nlp.ling.IndexedWord
 
ner(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
Annotate for named entities -- note that this combines multiple NER tag sets, and some auxilliary things (like temporal tagging)
NER_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
NERClassifierCombiner - Class in edu.stanford.nlp.ie
Subclass of ClassifierCombiner that behaves like a NER, by copying the AnswerAnnotation labels to NERAnnotation.
NERClassifierCombiner(Properties) - Constructor for class edu.stanford.nlp.ie.NERClassifierCombiner
 
NERClassifierCombiner(String...) - Constructor for class edu.stanford.nlp.ie.NERClassifierCombiner
 
NERClassifierCombiner(boolean, boolean, String...) - Constructor for class edu.stanford.nlp.ie.NERClassifierCombiner
 
NERClassifierCombiner(boolean, boolean, Properties, String...) - Constructor for class edu.stanford.nlp.ie.NERClassifierCombiner
 
NERClassifierCombiner(AbstractSequenceClassifier<CoreLabel>...) - Constructor for class edu.stanford.nlp.ie.NERClassifierCombiner
 
NERClassifierCombiner(boolean, boolean, AbstractSequenceClassifier<CoreLabel>...) - Constructor for class edu.stanford.nlp.ie.NERClassifierCombiner
 
NERCombinerAnnotator - Class in edu.stanford.nlp.pipeline
This class will add NER information to an Annotation using a combination of NER models.
NERCombinerAnnotator() - Constructor for class edu.stanford.nlp.pipeline.NERCombinerAnnotator
 
NERCombinerAnnotator(boolean) - Constructor for class edu.stanford.nlp.pipeline.NERCombinerAnnotator
 
NERCombinerAnnotator(boolean, String...) - Constructor for class edu.stanford.nlp.pipeline.NERCombinerAnnotator
 
NERCombinerAnnotator(NERClassifierCombiner, boolean) - Constructor for class edu.stanford.nlp.pipeline.NERCombinerAnnotator
 
NERCombinerAnnotator(NERClassifierCombiner, boolean, int, long) - Constructor for class edu.stanford.nlp.pipeline.NERCombinerAnnotator
 
NERCombinerAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.NERCombinerAnnotator
 
NERFeatureFactory<IN extends CoreLabel> - Class in edu.stanford.nlp.ie
Features for Named Entity Recognition.
NERFeatureFactory() - Constructor for class edu.stanford.nlp.ie.NERFeatureFactory
 
NERIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NERIDAnnotation
 
nerName() - Method in class edu.stanford.nlp.dcoref.Mention
 
nerSkipFirstK - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
nerSlowerTimes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
nerString - Variable in class edu.stanford.nlp.dcoref.Mention
 
nerStrings - Variable in class edu.stanford.nlp.dcoref.CorefCluster
 
nerTag(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.AnnotatorFactories
 
nerTokens() - Method in class edu.stanford.nlp.dcoref.Mention
 
NESTED_FIRST_ENDPOINTS_COMPARATOR - Static variable in interface edu.stanford.nlp.util.HasInterval
 
NestedFunctionCallExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
NestedVarExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
NeuralUtils - Class in edu.stanford.nlp.neural
Includes a bunch of utility methods usable by projects which use RNN, such as the parser and sentiment models.
NEUTRAL_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
neutralPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
neutralWords - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
newArabicTokenizer(Reader, Properties) - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
 
newArrayList() - Static method in class edu.stanford.nlp.util.Generics
 
newArrayList(int) - Static method in class edu.stanford.nlp.util.Generics
 
newArrayList(Collection<? extends E>) - Static method in class edu.stanford.nlp.util.Generics
 
newArrayMap() - Static method in class edu.stanford.nlp.util.ArrayMap
 
newArrayMap(int) - Static method in class edu.stanford.nlp.util.ArrayMap
 
newBinaryHeapPriorityQueue() - Static method in class edu.stanford.nlp.util.Generics
 
newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
 
newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
 
newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
 
newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory
 
newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
 
newCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
 
newConcurrentHashMap() - Static method in class edu.stanford.nlp.util.Generics
 
newConcurrentHashMap(int) - Static method in class edu.stanford.nlp.util.Generics
 
newConcurrentHashMap(int, float, int) - Static method in class edu.stanford.nlp.util.Generics
 
newConstituent(int, int) - Method in interface edu.stanford.nlp.trees.ConstituentFactory
Build a constituent with this start and end.
newConstituent(int, int, Label, double) - Method in interface edu.stanford.nlp.trees.ConstituentFactory
Build a constituent with this start and end.
newConstituent(int, int) - Method in class edu.stanford.nlp.trees.LabeledScoredConstituentFactory
 
newConstituent(int, int, Label, double) - Method in class edu.stanford.nlp.trees.LabeledScoredConstituentFactory
 
newConstituent(int, int) - Method in class edu.stanford.nlp.trees.SimpleConstituentFactory
 
newConstituent(int, int, Label, double) - Method in class edu.stanford.nlp.trees.SimpleConstituentFactory
 
newCoreLabelTokenizerFactory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
 
newCoreLabelTokenizerFactory(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
Constructs a new PTBTokenizer that returns CoreLabel objects and uses the options passed in.
newCoreLabelTokenizerFactory(String) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
 
newCoreLabelTokenizerFactory() - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
 
newCoreLabelWhitespaceTokenizer(Reader) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
 
newCoreLabelWhitespaceTokenizer(Reader, boolean) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
 
newDependency(Label, Label) - Method in interface edu.stanford.nlp.trees.DependencyFactory
 
newDependency(Label, Label, Object) - Method in interface edu.stanford.nlp.trees.DependencyFactory
 
newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
 
newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
 
newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
 
newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory
 
newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
 
newEmptyCollection() - Method in class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
 
newgeneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
newGrad - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
newGrammaticalStructure(Tree) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory
 
newGrammaticalStructure(Tree) - Method in interface edu.stanford.nlp.trees.GrammaticalStructureFactory
Vend a new GrammaticalStructure based on the given Tree.
newGrammaticalStructure(Tree) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
 
newHashMap() - Static method in class edu.stanford.nlp.util.Generics
 
newHashMap(int) - Static method in class edu.stanford.nlp.util.Generics
 
newHashMap(Map<? extends K, ? extends V>) - Static method in class edu.stanford.nlp.util.Generics
 
newHashSet() - Static method in class edu.stanford.nlp.util.Generics
 
newHashSet(int) - Static method in class edu.stanford.nlp.util.Generics
 
newHashSet(Collection<? extends E>) - Static method in class edu.stanford.nlp.util.Generics
 
newIdentityHashMap() - Static method in class edu.stanford.nlp.util.Generics
 
newIdentityHashSet() - Static method in class edu.stanford.nlp.util.Generics
 
newIndex() - Static method in class edu.stanford.nlp.util.Generics
 
newInstance() - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
 
newInstance() - Method in class edu.stanford.nlp.parser.common.ParsingThreadsafeProcessor
 
newInstance() - Method in class edu.stanford.nlp.pipeline.SentenceAnnotator.AnnotatorProcessor
 
newInstance() - Method in interface edu.stanford.nlp.util.concurrent.ThreadsafeProcessor
Return a new threadsafe instance.
newInterner() - Static method in class edu.stanford.nlp.util.Generics
 
newLabel(String) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory
Make a new label with this String as the "name".
newLabel(String, int) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory
Make a new label with this String as the value.
newLabel(String, String, String) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory
Create a new CategoryWordTag label, where the label is formed from the various String objects passed in.
newLabel(Label) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory
Create a new CategoryWordTag Label, where the label is formed from the Label object passed in.
newLabel(String) - Method in interface edu.stanford.nlp.ling.LabelFactory
Make a new label with this String as the value.
newLabel(String, int) - Method in interface edu.stanford.nlp.ling.LabelFactory
Make a new label with this String as the value, and the type determined in an implementation-dependent way from the options value.
newLabel(Label) - Method in interface edu.stanford.nlp.ling.LabelFactory
Create a new Label, where the label is formed from the Label object passed in.
newLabel(String) - Method in class edu.stanford.nlp.ling.StringLabelFactory
Make a new label with this String as the "name".
newLabel(String, int) - Method in class edu.stanford.nlp.ling.StringLabelFactory
Make a new label with this String as the "name".
newLabel(Label) - Method in class edu.stanford.nlp.ling.StringLabelFactory
Create a new StringLabel, where the label is formed from the Label object passed in.
newLabel(String) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
Make a new label with this String as the value (word).
newLabel(String, int) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
Make a new label with this String as a value component.
newLabel(Label) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
Create a new TaggedWord Label, where the label is formed from the Label object passed in.
newLabel(String) - Method in class edu.stanford.nlp.ling.WordFactory
Create a new word, where the label is formed from the String passed in.
newLabel(String, int) - Method in class edu.stanford.nlp.ling.WordFactory
Create a new word, where the label is formed from the String passed in.
newLabel(Label) - Method in class edu.stanford.nlp.ling.WordFactory
Create a new Word Label, where the label is formed from the Label object passed in.
newLabel(String) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory
Make a new label with this String as the value (word).
newLabel(String, int) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory
Make a new label with this String as a value component.
newLabel(Label) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory
Create a new WordLemmaTag Label, where the label is formed from the Label object passed in.
newLabel(String) - Method in class edu.stanford.nlp.ling.WordTagFactory
Make a new label with this String as the value (word).
newLabel(String, int) - Method in class edu.stanford.nlp.ling.WordTagFactory
Make a new label with this String as a value component.
newLabel(Label) - Method in class edu.stanford.nlp.ling.WordTagFactory
Create a new WordTag Label, where the label is formed from the Label object passed in.
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.CategoryWordTagFactory
Make a new label with this String as the "name".
newLabelFromString(String) - Method in interface edu.stanford.nlp.ling.LabelFactory
Make a new label.
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.StringLabelFactory
Make a new label with this String as the "name".
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.TaggedWordFactory
Create a new word, where the label is formed from the String passed in.
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.WordFactory
Create a new word, where the label is formed from the String passed in.
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.WordLemmaTagFactory
Create a new word, where the label is formed from the String passed in.
newLabelFromString(String) - Method in class edu.stanford.nlp.ling.WordTagFactory
Create a new word, where the label is formed from the String passed in.
newLeaf(String) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
 
newLeaf(Label) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
Create a new leaf node with the given label
newLeaf(String) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
 
newLeaf(Label) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
 
newLeaf(String) - Method in interface edu.stanford.nlp.trees.TreeFactory
Create a new tree leaf node, where the label is formed from the String passed in.
newLeaf(Label) - Method in interface edu.stanford.nlp.trees.TreeFactory
Create a new tree leaf node, with the given label.
newLeaf(String) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
 
newLeaf(Label) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
 
NEWLINE - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
NEWLINE_IS_SENTENCE_BREAK_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
NEWLINE_SPLITTER_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
NewlineLogFormatter - Class in edu.stanford.nlp.util.logging
Simply format and put a newline after each log message.
NewlineLogFormatter() - Constructor for class edu.stanford.nlp.util.logging.NewlineLogFormatter
 
newlineSplitter(boolean, String...) - Static method in class edu.stanford.nlp.pipeline.WordsToSentencesAnnotator
Return a WordsToSentencesAnnotator that splits on newlines (only), which are then deleted.
newLinkedList() - Static method in class edu.stanford.nlp.util.Generics
 
newLinkedList(Collection<? extends E>) - Static method in class edu.stanford.nlp.util.Generics
 
newMap() - Method in class edu.stanford.nlp.util.MapFactory
Returns a new non-parameterized map of a particular sort.
newMap(int) - Method in class edu.stanford.nlp.util.MapFactory
Returns a new non-parameterized map of a particular sort with an initial capacity.
newPair(T1, T2) - Static method in class edu.stanford.nlp.util.Generics
 
newPTBTokenizer(Reader) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Constructs a new PTBTokenizer that returns Word tokens and which treats carriage returns as normal whitespace.
newPTBTokenizer(Reader, boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Constructs a new PTBTokenizer that makes CoreLabel tokens.
newPTBTokenizerFactory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
Constructs a new PTBTokenizer that uses the LexedTokenFactory and options passed in.
newPTBTokenizerFactory(boolean, boolean) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
newSet() - Method in class edu.stanford.nlp.util.MapFactory
A set with the same K parameterization of the Maps.
newSpanishTokenizerFactory(LexedTokenFactory<T>, String) - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
Contructs a new SpanishTokenizer that returns T objects and uses the options passed in.
newStack() - Static method in class edu.stanford.nlp.util.Generics
 
newStateIndex - Variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
newStringRegexPattern(String, int) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
newSynchronizedInterner(Interner<T>) - Static method in class edu.stanford.nlp.util.Generics
 
newSynchronizedInterner(Interner<T>, Object) - Static method in class edu.stanford.nlp.util.Generics
 
newTestOptions() - Method in class edu.stanford.nlp.parser.lexparser.Options
Separated out so subclasses of Options can override
newTestOptions() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceOptions
 
newTokenizerFactory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
 
newTokenizerFactory() - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
 
newTokenizerFactory() - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
Constructs a new TokenizerFactory that returns Word objects and treats carriage returns as normal whitespace.
newTokenizerFactory() - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
Constructs a new TokenizerFactory that returns Word objects and treats carriage returns as normal whitespace.
newTrainOptions() - Method in class edu.stanford.nlp.parser.lexparser.Options
Separated out so subclasses of Options can override
newTrainOptions() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceOptions
 
newTreeMap() - Static method in class edu.stanford.nlp.util.Generics
 
newTreeNode(String, List<Tree>) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
 
newTreeNode(Label, List<Tree>) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeFactory
Create a new non-leaf tree node with the given label
newTreeNode(String, List<Tree>) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
 
newTreeNode(Label, List<Tree>) - Method in class edu.stanford.nlp.trees.SimpleTreeFactory
 
newTreeNode(String, List<Tree>) - Method in interface edu.stanford.nlp.trees.TreeFactory
Create a new tree non-leaf node, where the label is formed from the String passed in.
newTreeNode(Label, List<Tree>) - Method in interface edu.stanford.nlp.trees.TreeFactory
Create a new tree non-leaf node, with the given label.
newTreeNode(String, List<Tree>) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
 
newTreeNode(Label, List<Tree>) - Method in class edu.stanford.nlp.trees.TreeGraphNodeFactory
 
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
 
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeReaderFactory
 
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReaderFactory
 
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeReaderFactory
 
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeReaderFactory
 
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory
Create a new TreeReader using the provided Reader.
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreeReaderFactory
 
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZTreeReaderFactory
 
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeReaderFactory
An implementation of the TreeReaderFactory interface.
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer.NPTmpAdvRetainingTreeReaderFactory
 
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer.NPTmpRetainingTreeReaderFactory
 
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.PennTreeReaderFactory
 
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.StringLabeledScoredTreeReaderFactory
An implementation of the TreeReaderFactory interface.
newTreeReader(Reader) - Method in interface edu.stanford.nlp.trees.TreeReaderFactory
Create a new TreeReader using the provided Reader.
newTreeReader(Reader) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern.TRegexTreeReaderFactory
 
newTreeSet() - Static method in class edu.stanford.nlp.util.Generics
 
newTreeSet(Comparator<? super E>) - Static method in class edu.stanford.nlp.util.Generics
 
newTreeSet(SortedSet<E>) - Static method in class edu.stanford.nlp.util.Generics
 
newTriple(T1, T2, T3) - Static method in class edu.stanford.nlp.util.Generics
 
newWeakHashMap() - Static method in class edu.stanford.nlp.util.Generics
 
newWeakReference(T) - Static method in class edu.stanford.nlp.util.Generics
 
newWordTokenizerFactory(String) - Static method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
Constructs a new PTBTokenizer that returns Word objects and uses the options passed in.
newWordTokenizerFactory(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
Constructs a new PTBTokenizer that returns Word objects and uses the options passed in.
newWordWhitespaceTokenizer(Reader) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
 
newWordWhitespaceTokenizer(Reader, boolean) - Static method in class edu.stanford.nlp.process.WhitespaceTokenizer
 
newX - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
next() - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
next() - Method in class edu.stanford.nlp.objectbank.LineIterator
 
next() - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
next() - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables.DataSentsIterator
 
next() - Method in class edu.stanford.nlp.process.AbstractTokenizer
Returns the next token from this Tokenizer.
next() - Method in class edu.stanford.nlp.process.Morphology
 
next() - Method in interface edu.stanford.nlp.process.Tokenizer
Returns the next token from this Tokenizer.
next() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
 
next() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
 
next() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
 
next() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
next() - Method in class edu.stanford.nlp.util.AbstractIterator
next() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
next() - Method in class edu.stanford.nlp.util.ConcatenationIterator
 
next() - Method in class edu.stanford.nlp.util.Execution.LazyFileIterator
 
next() - Method in class edu.stanford.nlp.util.FilteredIterator
 
next() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Returns the element in the queue with highest priority, and pops it from the queue.
next() - Method in class edu.stanford.nlp.util.IterableIterator
 
nextContext - Variable in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
nextDoc() - Method in class edu.stanford.nlp.dcoref.ACEMentionExtractor
 
nextDoc() - Method in class edu.stanford.nlp.dcoref.CoNLLMentionExtractor
 
nextDoc() - Method in class edu.stanford.nlp.dcoref.MentionExtractor
Extracts the info relevant for coref from the next document in the corpus
nextDoc() - Method in class edu.stanford.nlp.dcoref.MUCMentionExtractor
 
NextMatchAction() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.NextMatchAction
 
nextToken - Variable in class edu.stanford.nlp.process.AbstractTokenizer
 
nf - Static variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
nGoodTrees - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
ngramRecordMaximumLength - Variable in class edu.stanford.nlp.sentiment.RNNTestOptions
 
ngramRecordSize - Variable in class edu.stanford.nlp.sentiment.RNNTestOptions
 
NIGHT - Static variable in class edu.stanford.nlp.time.SUTime
 
NIGHTLY - Static variable in class edu.stanford.nlp.time.SUTime
 
NIL - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
NIL_LABEL - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
NIL_LABEL - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
 
NIL_VALUE - Static variable in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
 
NilAnnotationPattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NilAnnotationPattern
 
NO_ANALYSIS - Static variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
NO_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
NO_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
NO_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
NO_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
 
NO_RANGE - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
 
NO_WORD - Static variable in class edu.stanford.nlp.ling.IndexedWord
The identifier that points to no word.
Node(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
nodeArity() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
nodeAttrMatch(IndexedWord, SemanticGraph, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
NodeBasic(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
nodeCenter - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel.WidthResult
 
NodeConj(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
nodeCreated() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
NodeDisj(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
NodeDisjConj(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
NodeGroup(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
nodeMatchResult(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
nodeMatchResult(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
nodeMatchResult(int) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns an Object representing the result for the match for a particular node.
nodeNumber(Tree) - Method in class edu.stanford.nlp.trees.Tree
Calculates the node's number, defined as the number of nodes traversed in a left-to-right, depth-first search of the tree starting at root and ending at this.
NodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
Matches a Node (i.e a Token)
NodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern
 
NodePattern - Class in edu.stanford.nlp.semgraph.semgrex
 
NodePattern(GraphRelation, boolean, Map<String, String>, boolean, boolean, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
NodePattern(GraphRelation, boolean, Map<String, String>, boolean, boolean, String, List<Pair<Integer, String>>) - Constructor for class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
NodePattern.AnyNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
Matches any node
NodePattern.ConjNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
Given a list of patterns p1,...,pn, matches if all patterns p1,...,pn matches
NodePattern.DisjNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
Given a list of patterns p1,...,pn, matches if one of the patterns p1,...,pn matches
NodePattern.EqualsNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
Matches a constant value of type T using equals()
NodePattern.NegateNodePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
Given a node pattern p, a node x matches if p does not match x
NodePatternExpr(NodePattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
 
NodePatternTransformer<T1,T2> - Interface in edu.stanford.nlp.ling.tokensregex
Interface to transform a node pattern from a NodePattern into a NodePattern
NodeProcessorWrappingArcProcessor(TransducerGraph.NodeProcessor) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.NodeProcessorWrappingArcProcessor
 
nodePrune - Variable in class edu.stanford.nlp.parser.lexparser.Options
If true, inside the factored parser, remove any node from the final chosen tree which improves the PCFG score.
nodes - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
 
nodes - Variable in class edu.stanford.nlp.pipeline.AnnotationSerializer.IntermediateSemanticGraph
 
NODES_EQUAL_CHECKER - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
nodeString() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
 
nodeString() - Method in class edu.stanford.nlp.trees.Tree
Returns the value of the nodes label as a String.
nodeTab - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel.WidthResult
 
nodeToString(Tree) - Static method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
nodeToString(Node, boolean) - Static method in class edu.stanford.nlp.time.XMLUtils
 
NodeVector() - Constructor for class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations.NodeVector
 
noEdgeFeature - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
NoEmptiesCTBTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CTBTreeReaderFactory.NoEmptiesCTBTreeReaderFactory
 
NoEmptiesCTBTreeReaderFactory - Class in edu.stanford.nlp.trees.international.pennchinese
A CTB TreeReaderFactory that deletes empty nodes.
NoEmptiesCTBTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.NoEmptiesCTBTreeReaderFactory
 
NoEscapingSAXInterface() - Constructor for class edu.stanford.nlp.process.TransformXML.NoEscapingSAXInterface
 
noFunctionalForcing - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Only valid with force tags - strips away functionals when forcing the tags, meaning tags have to start appropriately but the parser will assign the functional part.
NoisyLabelLinearCliquePotentialFunction - Class in edu.stanford.nlp.ie.crf
 
NoisyLabelLinearCliquePotentialFunction(double[][], int[], double[][]) - Constructor for class edu.stanford.nlp.ie.crf.NoisyLabelLinearCliquePotentialFunction
 
noLabel - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
noMidNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "nominal passive subject" grammatical relation.
NOMINAL_PASSIVE_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "nominal passive subject" (nsubjpass) grammatical relation.
NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "nominal subject" grammatical relation.
NOMINAL_SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "nominal subject" (nsubj) grammatical relation.
NonDict2 - Class in edu.stanford.nlp.wordseg
 
NonDict2(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.wordseg.NonDict2
 
noNeighborConstraints - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
NONEXIST - Static variable in class edu.stanford.nlp.parser.nndep.Config
Represent a non-existent token.
NONFINITE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "non-finite clause" grammatical relation.
NonLinearCliquePotentialFunction - Class in edu.stanford.nlp.ie.crf
 
NonLinearCliquePotentialFunction(double[][], double[][], double[][], SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.NonLinearCliquePotentialFunction
 
nonLinearCRF - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
NonLinearSecondOrderCliquePotentialFunction - Class in edu.stanford.nlp.ie.crf
 
NonLinearSecondOrderCliquePotentialFunction(double[][], double[][], double[][], double[][], SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.crf.NonLinearSecondOrderCliquePotentialFunction
 
nonSplitter(boolean) - Static method in class edu.stanford.nlp.pipeline.WordsToSentencesAnnotator
Return a WordsToSentencesAnnotator that never splits the token stream.
nonTerminalInfo - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
 
nonUnaryRootSymbol() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
 
nonWords - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
NOON - Static variable in class edu.stanford.nlp.time.SUTime
 
noop(Object) - Static method in class edu.stanford.nlp.util.ErasureUtils
Does nothing, occasionally used to make Java happy that a value is used
noop - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
A NOOP, as the name implies.
NoPunctuationHeadFinder - Class in edu.stanford.nlp.ie.machinereading.common
Simple variant of the ModCollinsHeadFinder avoids supplying punctuation tags as heads whenever possible.
NoPunctuationHeadFinder() - Constructor for class edu.stanford.nlp.ie.machinereading.common.NoPunctuationHeadFinder
 
noRebinarization - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
When binarizing trees, don't binarize trees with two children.
noRecoveryTagging - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If false, then failure of the PCFG parser to parse a sentence will trigger allowing all tags for words in parse recovery mode, with a log probability of -1000.
norm(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Computes 2-norm of vector.
norm(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Computes 2-norm of vector.
norm_1(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Computes 1-norm of vector.
norm_1(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Computes 1-norm of vector.
norm_inf(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Computes inf-norm of vector.
norm_inf(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Computes inf-norm of vector.
normalization(String) - Method in class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor
This should now become disused, and other people should call ChineseUtils directly! CDM June 2006.
normalizationTable - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
normalize() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.AbstractStringAnnotationPattern
 
NORMALIZE - Static variable in class edu.stanford.nlp.ling.tokensregex.NodePattern
 
normalize - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
normalize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Makes the values in this array sum to 1.0.
normalize(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Makes the values in this array sum to 1.0.
normalize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
normalize(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Normalizes the target counter in-place, so the sum of the resulting values equals 1.
normalize(TwoDimensionalCounter<E, F>) - Static method in class edu.stanford.nlp.stats.Counters
Normalizes the target counter in-place, so the sum of the resulting values equals 1.
NORMALIZE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
normalize(String) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
normalize(String, int, int) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
normalize(String, int, int, int) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
This will normalize a Unicode String in various ways.
normalize(double[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Returns a new array which has the numbers in the input array L1-normalized.
normalize(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
normalizeClassifierOutput(List<List<CoreLabel>>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
Takes the output of an AbstractSequenceClassifier and marks up each document by normalizing quantities.
NORMALIZED_LOG_PROBABILITIES - Static variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
normalizedFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
NormalizedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NormalizedNamedEntityTagAnnotation
 
normalizedNumberString(String, String, Number) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
 
normalizedNumberStringQuiet(String, double, String, Number) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
 
normalizedOrdinalString(String, Number) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
 
normalizedOrdinalStringQuiet(String, Number) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
 
normalizedPercentString(String, Number) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
 
normalizedTimeString(String, Timex) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
 
normalizedTimeString(String, String, Timex) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
 
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
Normalizes a nonterminal contents.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.GrammaticalFunctionTreeNormalizer
Normalizes a nonterminal contents.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
 
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
 
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
Normalizes a nonterminal contents.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer
Normalizes a nonterminal contents.
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.OrderedCombinationTreeNormalizer
 
normalizeNonterminal(String) - Method in class edu.stanford.nlp.trees.TreeNormalizer
Normalizes a nonterminal contents (and maybe intern it).
normalizeSoftMaxMinMaxScores(Counter<String>, boolean, boolean, boolean) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
Normalizes a leaf contents.
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
 
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
Normalizes a leaf contents.
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
 
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer
Normalizes a leaf contents.
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.OrderedCombinationTreeNormalizer
 
normalizeTerminal(String) - Method in class edu.stanford.nlp.trees.TreeNormalizer
Normalizes a leaf contents (and maybe intern it).
normalizeTerms - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
normalizeTimex - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
normalizeTree(Tree, TreeNormalizer, TreeFactory) - Static method in class edu.stanford.nlp.trees.Trees
 
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
Normalize a whole tree -- one can assume that this is the root.
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
 
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer
 
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeNormalizer
 
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
Normalize a whole tree -- one can assume that this is the root.
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.pennchinese.CTBErrorCorrectingTreeNormalizer
 
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
 
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer
Normalize a whole tree.
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
Normalize a whole tree -- one can assume that this is the root.
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.OrderedCombinationTreeNormalizer
 
normalizeWholeTree(Tree, TreeFactory) - Method in class edu.stanford.nlp.trees.TreeNormalizer
Normalize a whole tree -- this method assumes that the argument that it is passed is the root of a complete Tree.
NormalizingGraphProcessor(boolean) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.NormalizingGraphProcessor
 
normTableEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
NosegSymbol - Static variable in class edu.stanford.nlp.international.arabic.process.IOBUtils
 
NoSuchParseException - Exception in edu.stanford.nlp.parser.common
 
NoSuchParseException() - Constructor for exception edu.stanford.nlp.parser.common.NoSuchParseException
 
NoSuchParseException(String) - Constructor for exception edu.stanford.nlp.parser.common.NoSuchParseException
 
NOT_EQUALS_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
NOT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
noTagSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
NotAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NotAnnotation
 
NotExpression(Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.NotExpression
 
notFilter(Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters
Filter that does the opposite of given filter (NOT).
NotNilAnnotationPattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NotNilAnnotationPattern
 
notOrganizationPRP - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
NOUN_COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "noun compound" (nn) grammatical relation.
NOUN_COMPOUND_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "noun compound modifier" grammatical relation.
NOUN_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "noun modifier" grammatical relation (abstract).
nounSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
NOVEMBER - Static variable in class edu.stanford.nlp.time.SUTime
 
NOWORDSHAPE - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
NP_ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "noun phrase as adverbial modifier" grammatical relation.
NPTmpAdvRetainingTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer.NPTmpAdvRetainingTreeReaderFactory
 
NPTmpRetainingTreeNormalizer - Class in edu.stanford.nlp.trees
Same TreeNormalizer as BobChrisTreeNormalizer, but optionally provides four extras.
NPTmpRetainingTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
NPTmpRetainingTreeNormalizer(int, boolean) - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
NPTmpRetainingTreeNormalizer(int, boolean, int, boolean) - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
NPTmpRetainingTreeNormalizer(int, boolean, int, boolean, HeadFinder) - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
Create a TreeNormalizer that maintains some functional annotations, particularly those involving temporal annotation.
NPTmpRetainingTreeNormalizer.NPTmpAdvRetainingTreeReaderFactory - Class in edu.stanford.nlp.trees
Implementation of TreeReaderFactory, mainly for convenience of constructing by reflection.
NPTmpRetainingTreeNormalizer.NPTmpRetainingTreeReaderFactory - Class in edu.stanford.nlp.trees
Implementation of TreeReaderFactory, mainly for convenience of constructing by reflection.
NPTmpRetainingTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer.NPTmpRetainingTreeReaderFactory
 
nthIndex(String, char, int) - Static method in class edu.stanford.nlp.util.StringUtils
Returns the index of the nth occurrence of ch in s, or -1 if there are less than n occurrences of ch.
nThreads() - Method in class edu.stanford.nlp.pipeline.DependencyParseAnnotator
 
nThreads() - Method in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
 
nThreads() - Method in class edu.stanford.nlp.pipeline.ParserAnnotator
 
nThreads() - Method in class edu.stanford.nlp.pipeline.SentenceAnnotator
 
NTHREADS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
nudgeDownArraySize() - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
NULL - Static variable in class edu.stanford.nlp.parser.nndep.Config
Non-existent token string.
NULL_ITW - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
NULL_ITW - Static variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
NULL_ITW - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
 
nullable - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
 
NullOutputStream - Class in edu.stanford.nlp.io
An OutputStream which throws away all output instead of outputting anything
Taken from http://stackoverflow.com/questions/2127979
NullOutputStream() - Constructor for class edu.stanford.nlp.io.NullOutputStream
 
nullSafeCompare(T, T) - Static method in class edu.stanford.nlp.util.Comparators
Returns a consistent ordering over two elements even if one of them is null (as long as compareTo() is stable, of course).
nullSafeNaturalComparator() - Static method in class edu.stanford.nlp.util.Comparators
 
nullTag - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
nullTag - Static variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
nullTag - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
 
nullWord - Static variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
nullWord - Static variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
nullWord - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
 
NUM - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
num - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
 
NUM_LANGUAGES - Static variable in class edu.stanford.nlp.swing.FontDetector
 
numActiveFeatures() - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
 
numBatches - Variable in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
numBatches - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
number - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
 
number - Variable in class edu.stanford.nlp.dcoref.Mention
 
NUMBER_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
NUMBER_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "compound number modifier" grammatical relation.
NUMBER_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
numberEquivalenceDistSim - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
If this is set to true, all digit characters get mapped to '9' in a distsim lexicon and for lookup.
NumberMatchingRegex - Class in edu.stanford.nlp.math
This file includes a regular expression to match numbers.
NumberNormalizer - Class in edu.stanford.nlp.ie
Provides functions for converting words to numbers Unlike QuantifiableEntityNormalizer that normalizes various types of quantifiable entities like money and dates, NumberNormalizer only normalizes numeric expressions (e.g.
numberOfSpeakers() - Method in class edu.stanford.nlp.dcoref.Document
 
numberPattern - Static variable in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
 
NumberRangeFileFilter - Class in edu.stanford.nlp.io
Implements a file filter that examines a number in a filename to determine acceptance.
NumberRangeFileFilter(int, int, boolean) - Constructor for class edu.stanford.nlp.io.NumberRangeFileFilter
Sets up a NumberRangeFileFilter by specifying the range of numbers to accept, and whether to also traverse folders for recursive search.
NumberRangesFileFilter - Class in edu.stanford.nlp.io
Implements a file filter that examines a number in a filename to determine acceptance.
NumberRangesFileFilter(String, boolean) - Constructor for class edu.stanford.nlp.io.NumberRangesFileFilter
Sets up a NumberRangesFileFilter by specifying the ranges of numbers to accept, and whether to also traverse folders for recursive search.
numbers - Variable in class edu.stanford.nlp.dcoref.CorefCluster
 
NUMBERS - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
numbersAgree(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
 
NumberSequenceClassifier - Class in edu.stanford.nlp.ie.regexp
A set of deterministic rules for marking certain entities, to add categories and to correct for failures of statistical NER taggers.
NumberSequenceClassifier() - Constructor for class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
NumberSequenceClassifier(boolean) - Constructor for class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
NumberSequenceClassifier(Properties, boolean, Properties) - Constructor for class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
NumberToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
numBinaryMatrices - Variable in class edu.stanford.nlp.sentiment.SentimentModel
Cached here for easy calculation of the model size; TwoDimensionalMap does not return that in O(1) time
numChildren() - Method in class edu.stanford.nlp.trees.Tree
Says how many children a tree node has in its local tree.
numClasses - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
numClasses() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
numClasses - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
numClasses - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
numClasses() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
numClasses() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
numClasses - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
numClasses - Variable in class edu.stanford.nlp.sentiment.RNNOptions
Number of classes to build the RNN for
numClasses - Variable in class edu.stanford.nlp.sentiment.SentimentModel
How many classes the RNN is built to test against
numClosedRules() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
numCols() - Method in class edu.stanford.nlp.neural.SimpleTensor
Number of columns in the tensor
numCorrect(int) - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
how many correct do we have if we return the most confident num recall ones
numDatasetsPerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numDatumsPerLabel() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
numDistBins() - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
numDistBins() - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
 
NUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "numeric modifier" grammatical relation.
NUMERIC_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "number modifier" (nummod) grammatical relation.
NumericAnnotationPattern(double, CoreMapNodePattern.NumericAnnotationPattern.CmpType) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NumericAnnotationPattern
 
NumericComparator() - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericComparator
 
NumericCompositeObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeObjectAnnotation
 
NumericCompositeTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeTypeAnnotation
 
NumericCompositeValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeValueAnnotation
 
NumericFunction(String, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
 
NumericFunction(String, int, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
 
NumericObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericObjectAnnotation
 
NumericTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericTypeAnnotation
 
NumericValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericValueAnnotation
 
NumerizedTokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumerizedTokensAnnotation
 
numFeatureMatches(MorphoFeatures) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
 
numFeatures - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
numFeatures() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
numFeatures - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
numFeatureTokens() - Method in class edu.stanford.nlp.classify.GeneralDataset
returns the number of feature tokens in the Dataset.
numFeatureTypes() - Method in class edu.stanford.nlp.classify.GeneralDataset
returns the number of distinct feature types in the Dataset.
numFolds - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numHid - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
Number of hidden units in the word vectors.
numHid - Variable in class edu.stanford.nlp.sentiment.RNNOptions
Size of vectors to use.
numHid - Variable in class edu.stanford.nlp.sentiment.SentimentModel
Dimension of hidden layers, size of word vectors, etc
numHiddenUnits - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numIterations() - Method in class edu.stanford.nlp.sequences.CoolingSchedule
 
numIterationsForPatterns - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Maximum number of iterations to run
numLopExpert - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Number of experts to be used in Logarithmic Opinion Pool (product of experts) training default value is 1
numMinStopWordsToAdd - Variable in class edu.stanford.nlp.patterns.surface.CreatePatterns
If the whole (either left or right) context is just stop words, add the pattern only if number of tokens is equal or more than this.
numOfFeatureSlices - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numOfSlices - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numParagraph - Variable in class edu.stanford.nlp.dcoref.Document
 
numPasses - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
numPasses - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
numPasses - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
numPatterns - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Maximum number of patterns learned in each iteration
numPreComputed - Variable in class edu.stanford.nlp.parser.nndep.Config
Number of input tokens for which we should compute hidden-layer unit activations.
numRows(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
numRows() - Method in class edu.stanford.nlp.neural.SimpleTensor
Number of rows in the tensor
numRules() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Returns the number of rules (tag rewrites as word) in the Lexicon.
numRules() - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
 
numRules() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
Returns the number of rules (tag rewrites as word) in the Lexicon.
numRules() - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
Returns the number of rules (tag rewrites as word) in the Lexicon.
numRules() - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Returns the number of rules (tag rewrites as word) in the Lexicon.
numRules() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
numRuns - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numSamples() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
numSentences - Variable in class edu.stanford.nlp.dcoref.Document
 
numSlices() - Method in class edu.stanford.nlp.neural.SimpleTensor
Number of slices in the tensor
numStartLayers - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numStates - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
numSubArgs(String[], int) - Static method in class edu.stanford.nlp.parser.common.ArgUtils
 
numTagBins - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
numTagBins() - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
numTagBins() - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
 
numTags() - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
numThreads - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Number of threads
numTimesPruneFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numTimesRemoveTopN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
numToForcePrint() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
 
numToForcePrint() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ExactRepeatSemantics
 
numToForcePrint() - Method in interface edu.stanford.nlp.util.logging.RepeatedRecordHandler.RepeatSemantics
 
numTokens - Static variable in class edu.stanford.nlp.parser.nndep.Config
Total number of tokens provided as input to the classifier.
NumTxtSentencesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumTxtSentencesAnnotation
 
numUnaryMatrices - Variable in class edu.stanford.nlp.sentiment.SentimentModel
Cached here for easy calculation of the model size; TwoDimensionalMap does not return that in O(1) time
numUniqueMatches() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.TRegexGUITreeVisitor
Method for returning the number of matches found in the last tree visited by this tree visitor.
numVals - Static variable in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
 
numWordsCompound - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
numWordsToAdd - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Number of words to learn in each iteration
numWordTokens - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
numY(int) - Method in class edu.stanford.nlp.maxent.Experiments
 

O

object(int, Consumer<JSONOutputter.Writer>) - Method in class edu.stanford.nlp.pipeline.JSONOutputter.JSONWriter
 
object(Consumer<JSONOutputter.Writer>) - Method in class edu.stanford.nlp.pipeline.JSONOutputter.JSONWriter
 
OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "object" grammatical relation.
OBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "object" (obj) grammatical relation.
object() - Method in class edu.stanford.nlp.util.ScoredObject
 
OBJECT_FIELD_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
ObjectBank<E> - Class in edu.stanford.nlp.objectbank
The ObjectBank class is designed to make it easy to change the format/source of data read in by other classes and to standardize how data is read in javaNLP classes.
ObjectBank(ReaderIteratorFactory, IteratorFromReaderFactory<E>) - Constructor for class edu.stanford.nlp.objectbank.ObjectBank
This creates a new ObjectBank with the given ReaderIteratorFactory and ObjectIteratorFactory.
ObjectBank.PathToFileFunction - Class in edu.stanford.nlp.objectbank
This is handy for having getLineIterator return a collection of files for feeding into another ObjectBank.
ObjectBankWrapper<IN extends CoreMap> - Class in edu.stanford.nlp.sequences
This class is used to wrap the ObjectBank used by the sequence models and is where any sort of general processing, like the IOB mapping stuff and wordshape stuff, should go.
ObjectBankWrapper(SeqClassifierFlags, ObjectBank<List<IN>>, Set<String>) - Constructor for class edu.stanford.nlp.sequences.ObjectBankWrapper
 
objectEqualityIndexOf(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
Returns the index of daughter in parent by ==.
objectId - Variable in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
Unique identifier of the object in its document
objectIndexOf(Tree) - Method in class edu.stanford.nlp.trees.Tree
Returns the position of a Tree in the children list, if present, or -1 if it is not present.
objects(int[]) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
objects(int[]) - Method in class edu.stanford.nlp.util.DeltaIndex
 
objects(int[]) - Method in class edu.stanford.nlp.util.HashIndex
Looks up the objects corresponding to an array of indices, and returns them in a Collection.
objects(int[]) - Method in interface edu.stanford.nlp.util.Index
Looks up the objects corresponding to an array of indices, and returns them in a Collection.
objectsList() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
objectsList() - Method in class edu.stanford.nlp.util.DeltaIndex
 
objectsList() - Method in class edu.stanford.nlp.util.HashIndex
Returns a complete List of indexed objects, in the order of their indices.
objectsList() - Method in interface edu.stanford.nlp.util.Index
Returns a complete List of indexed objects, in the order of their indices.
objectToColumnString(Object, String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Converts an object into a tab delimited string with given fields Requires the object has public access for the specified fields
objectToJSON(Consumer<JSONOutputter.Writer>) - Static method in class edu.stanford.nlp.pipeline.JSONOutputter.JSONWriter
 
ObjectToSetNodeProcessor() - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.ObjectToSetNodeProcessor
 
OCCURRING_TAGS_ONLY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
occurringTagsOnly() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
ocrFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
ocrTrain - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
OCTOBER - Static variable in class edu.stanford.nlp.time.SUTime
 
offset(SUTime.Duration, int) - Method in class edu.stanford.nlp.time.SUTime.Range
 
offset(SUTime.Duration, int, int) - Method in class edu.stanford.nlp.time.SUTime.Range
 
offset(SUTime.Duration, int) - Method in class edu.stanford.nlp.time.SUTime.RefTime
 
offset(SUTime.Duration, int) - Method in class edu.stanford.nlp.time.SUTime.Time
 
OFFSET_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
oFilteredEnd - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
oFilteredStart - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
oldKey - Variable in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup
 
oneDimensionalCounterView() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns a read-only synchronous view (not a snapshot) of this as a ClassicCounter.
oneOrMore(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
one or more
oneTailedFishersExact(int, int, int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Find a one-tailed Fisher's exact probability.
ONEWHITE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
op - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
op - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
op - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
op - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
op - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
op - Variable in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
 
op - Variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
OPEN_RANGE_AFTER - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
 
OPEN_RANGE_BEFORE - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
 
openClassTypesThreshold - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
A POS tag has to have been attributed to more than this number of word types before it is regarded as an open-class tag.
openNodeScope(Node) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
opFmeasure() - Method in class edu.stanford.nlp.classify.PRCurve
 
oPossible(Hook) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
 
oPossible(Hook) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
oPossible(Hook) - Method in interface edu.stanford.nlp.parser.lexparser.Scorer
 
oPossibleByL - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
oPossibleByR - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
oPossibleL(int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
oPossibleR(int, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
optFmeasure(int) - Method in class edu.stanford.nlp.classify.PRCurve
what is the optimal f-measure we can achieve given recall guesses using the optimal monotonic function
optimalAccuracy() - Method in class edu.stanford.nlp.classify.PRCurve
 
optimalCwa() - Method in class edu.stanford.nlp.classify.PRCurve
optimal confidence weighted accuracy assuming for each recall we can fit an optimal monotonic function
optimalCwaArray() - Method in class edu.stanford.nlp.classify.PRCurve
confidence weighted accuracy assuming the scores are probabilities and using .5 as threshold
optimize() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
 
optimize() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
 
optimize() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
 
optimize() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
Returns an optimized version of this pattern - default is a noop
optimize() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
 
optimize() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
 
optimize() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
 
OPTIMIZE_SIEVES_KEEP_ORDER_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
OPTIMIZE_SIEVES_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
OPTIMIZE_SIEVES_SCORE_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
optimizedDotProduct(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
This method does not check entries for NAN or INFINITY values in the doubles returned.
optimizeSieveOrdering(MentionExtractor, Properties, String) - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
Given a set of sieves, select an optimal ordering for the sieves by iterating over sieves, and selecting the one that gives the best score and adding sieves one at a time until no more sieves left
optionArgDefs - Static variable in class edu.stanford.nlp.parser.metrics.LeafAncestorEval
 
optionArgDefs - Static variable in class edu.stanford.nlp.parser.metrics.TaggingEval
 
optionArgDefs - Static variable in class edu.stanford.nlp.parser.metrics.UnlabeledAttachmentEval
 
optionClasses - Static variable in class edu.stanford.nlp.util.Execution
 
Options() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
Options(String) - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
Options - Class in edu.stanford.nlp.parser.lexparser
This class contains options to the parser which MUST be the SAME at both training and testing (parsing) time in order for the parser to work properly.
Options() - Constructor for class edu.stanford.nlp.parser.lexparser.Options
 
Options(TreebankLangParserParams) - Constructor for class edu.stanford.nlp.parser.lexparser.Options
 
Options() - Constructor for class edu.stanford.nlp.pipeline.AnnotationOutputter.Options
 
options - Variable in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
Options - Class in edu.stanford.nlp.time
Various options for using time expression extractor
Options() - Constructor for class edu.stanford.nlp.time.Options
 
Options(String, Properties) - Constructor for class edu.stanford.nlp.time.Options
 
Options.LexOptions - Class in edu.stanford.nlp.parser.lexparser
 
Options.RelativeHeuristicLevel - Enum in edu.stanford.nlp.time
 
or(String, String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
any of the two
or(String, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
any of the three
or(String, String, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
any of the four
or(String, String, String, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
any of the five
or(String, String, String, String, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
any of the six
or(String, String, String, String, String, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
any of the seven
or(String, String, String, String, String, String, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
any of the eight
or(String, String, String, String, String, String, String, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
any of the nine
or(String, String, String, String, String, String, String, String, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
or(String, String, String, String, String, String, String, String, String, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
or(String, String, String, String, String, String, String, String, String, String, String, String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
OR_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
oracleBinaryToShift - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
Does help, but makes the models much bigger for a miniscule gain
oracleShiftToBinary - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
Does not seem to help...
ORDER_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
orderByTargetComparator() - Static method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
OrderedCombinationTreeNormalizer - Class in edu.stanford.nlp.trees
This class combines multiple tree normalizers.
OrderedCombinationTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.OrderedCombinationTreeNormalizer
 
OrderedCombinationTreeNormalizer(List<TreeNormalizer>) - Constructor for class edu.stanford.nlp.trees.OrderedCombinationTreeNormalizer
 
ORDINAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "ordinal modifier" (ordmod) grammatical relation.
ORDINAL_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
ordinalsToValues - Static variable in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
 
OrdinalTime(SUTime.Temporal, int) - Constructor for class edu.stanford.nlp.time.SUTime.OrdinalTime
 
OrdinalTime(SUTime.Temporal, long) - Constructor for class edu.stanford.nlp.time.SUTime.OrdinalTime
 
OrExpression(List<Expression>) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.OrExpression
 
orf - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
orFilter(Predicate<E>, Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters
Filter that accepts when either filter accepts (OR).
organizationPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
ORGIndex - Variable in class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
 
ORIG_EXT - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
OriginalAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.OriginalAnswerAnnotation
 
OriginalCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.OriginalCharAnnotation
 
originalFindSyntacticHead(EntityMention, Tree, List<CoreLabel>) - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
originalLabels - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
originalRef - Variable in class edu.stanford.nlp.dcoref.Mention
 
originalSentence() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
originalSentence() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
originalSentence() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
originalSentence() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
originalSpan - Variable in class edu.stanford.nlp.dcoref.Mention
 
originalTags - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
originalText() - Method in interface edu.stanford.nlp.ling.AbstractCoreLabel
 
originalText - Variable in class edu.stanford.nlp.ling.BasicDocument
original text of this document (may be null).
originalText() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns the text originally used to construct this document, or null if there was no original text.
originalText() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the String which is the original character sequence of the token.
originalText() - Method in interface edu.stanford.nlp.ling.HasContext
Return the String which is the original character sequence of the token.
originalText() - Method in class edu.stanford.nlp.ling.IndexedWord
 
OriginalTextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.OriginalTextAnnotation
 
origWords - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
OrPatternExpr(List<SequencePattern.PatternExpr>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
 
OrPatternExpr(SequencePattern.PatternExpr...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
 
oScore(Edge) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
 
oScore - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
oScore(Edge) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
oScore - Variable in class edu.stanford.nlp.parser.lexparser.Item
 
oScore(Edge) - Method in interface edu.stanford.nlp.parser.lexparser.Scorer
 
OTHER - Static variable in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
otherOccurrences(EntityBIO) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
finds other locations in the sequence where the sequence of words in this entity occurs.
otherPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
OTHERS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
Dictionary for all other strings in the corpus
otherSemanticClassesFiles - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
List of dictionary phrases that are negative for all labels to be learned.
OtherSemanticLabel() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.OtherSemanticLabel
 
out() - Static method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler
 
outDegree(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
outDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
outDir - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
The output directory where the justifications of learning patterns and phrases would be saved.
outFlow(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
outgoingEdgeIterable(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
outgoingEdgeIterable(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
outgoingEdgeIterator(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
outgoingEdgeIterator(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
outgoingEdgeList(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
output() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
output - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Output to the default location specified by the output() method.
output(String) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Determine where, in the end, console output should go.
OUTPUT_FILE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
OUTPUT_FORMAT - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
OUTPUT_FORMAT_OPTIONS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
outputBetas() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
OutputCombiningProcessor() - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.OutputCombiningProcessor
 
outputEncoding - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
outputEncoding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
outputFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
outputFilesDirectory - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If the writeOutputFiles option is true, then output files appear in this directory.
outputFilesExtension - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If the writeOutputFiles option is true, then output files appear with this extension.
outputFilesPrefix - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If the writeOutputFiles option is true, then output files appear with this prefix.
outputFormat - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Determines format of output trees: choose among penn, oneline
outputFormat - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
outputFormatOptions - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
 
outputFrequency - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
OutputHandler - Class in edu.stanford.nlp.util.logging
An abstract handler incorporating the logic of outputing a log message, to some source.
OutputHandler() - Constructor for class edu.stanford.nlp.util.logging.OutputHandler
 
outputIterationsToFile - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
outputIterationsToFile - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
outputIterationsToFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
outputkBestEquivocation - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If this option is not null, output the k-best equivocation.
outputSpans(Tree) - Static method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
 
outputStats() - Method in class edu.stanford.nlp.parser.shiftreduce.PerceptronModel
Output some random facts about the model
outputTaggedSentence(List<? extends HasWord>, boolean, PlainTextDocumentReaderAndWriter.OutputStyle, boolean, int, String, Writer) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
outputToCmd(OutputStream) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
 
outputToCmd(OutputStream) - Method in class edu.stanford.nlp.optimization.CmdEvaluator
 
outputToFile - Variable in class edu.stanford.nlp.optimization.QNMinimizer
 
outputTransitions(Tree, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
outputTransitions(Tree, int, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
outputTreeFormats - Static variable in class edu.stanford.nlp.trees.TreePrint
The legal output tree formats.
outputTreeLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees
Outputs the labels on the trees, not just the words.
outputTreeLabels(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
 
outputType - Variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
outsideFactor() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
If true, declare early -- leave this on except maybe with markov on.
OutsideRuleFilter - Class in edu.stanford.nlp.parser.lexparser
 
OutsideRuleFilter(BinaryGrammar, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
 
outWriter - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
 
overlap(Span, Span) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
overlaps(Span, Span) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
overlaps(Span, Collection<Span>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
overlaps(Interval<E>) - Method in class edu.stanford.nlp.util.Interval
Check whether this interval overlaps with the other interval (i.e.
overlaps(T) - Method in class edu.stanford.nlp.util.IntervalTree
 
overlaps(IntervalTree.TreeNode<E, T>, E) - Static method in class edu.stanford.nlp.util.IntervalTree
 
overlaps(IntervalTree.TreeNode<E, T>, Interval<E>) - Static method in class edu.stanford.nlp.util.IntervalTree
 

P

p - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
p1 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
 
p2 - Variable in class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
 
PA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
This variable controls doing parent annotation of phrasal nodes.
pad - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
pad - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
pad(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
Return a String of length a minimum of totalChars characters by padding the input String str at the right end with spaces.
pad(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
Pads the toString value of the given Object.
PAD_FIELD_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
 
PAD_FIELD_UNKNOWN2 - Static variable in class edu.stanford.nlp.time.SUTime
 
PAD_FIELD_UNKNOWN4 - Static variable in class edu.stanford.nlp.time.SUTime
 
PaddedList<E> - Class in edu.stanford.nlp.util
A PaddedList wraps another list, presenting an apparently infinite list by padding outside the real confines of the list with a default value.
PaddedList(List<E>) - Constructor for class edu.stanford.nlp.util.PaddedList
With this constructor, get() will return null for elements outside the real list.
PaddedList(List<E>, E) - Constructor for class edu.stanford.nlp.util.PaddedList
 
padLeft(String, int, char) - Static method in class edu.stanford.nlp.util.StringUtils
Pads the given String to the left with the given character to ensure that it's at least totalChars long.
padLeft(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
Pads the given String to the left with spaces to ensure that it's at least totalChars long.
padLeft(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
padLeft(int, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
padLeft(double, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
padLeftOrTrim(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
Pad or trim so as to produce a string of exactly a certain length.
padMoreSpecificFields(Partial, Period) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
padMoreSpecificFields(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
padOrTrim(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
Pad or trim so as to produce a string of exactly a certain length.
padOrTrim(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
Pad or trim the toString value of the given Object.
paintComponent(Graphics) - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
paintComponent(Graphics) - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
paintTree(Tree, Point2D, Graphics2D, FontMetrics, Color) - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
Pair<T1,T2> - Class in edu.stanford.nlp.util
Pair is a Class for holding mutable pairs of objects.
Pair() - Constructor for class edu.stanford.nlp.util.Pair
 
Pair(T1, T2) - Constructor for class edu.stanford.nlp.util.Pair
 
Pair.ByFirstPairComparator<T1,T2> - Class in edu.stanford.nlp.util
Compares a Pair to another Pair according to the first object of the pair only This function will work providing the first element of the Pair is comparable, otherwise will throw a ClassCastException
Pair.ByFirstReversePairComparator<T1,T2> - Class in edu.stanford.nlp.util
Compares a Pair to another Pair according to the first object of the pair only in decreasing order This function will work providing the first element of the Pair is comparable, otherwise will throw a ClassCastException
Pair.BySecondPairComparator<T1,T2> - Class in edu.stanford.nlp.util
Compares a Pair to another Pair according to the second object of the pair only This function will work providing the first element of the Pair is comparable, otherwise will throw a ClassCastException
Pair.BySecondReversePairComparator<T1,T2> - Class in edu.stanford.nlp.util
Compares a Pair to another Pair according to the second object of the pair only in decreasing order This function will work providing the first element of the Pair is comparable, otherwise will throw a ClassCastException
pairs - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
PairsHolder - Class in edu.stanford.nlp.tagger.maxent
A simple class that maintains a list of WordTag pairs which are interned as they are added.
PairsHolder() - Constructor for class edu.stanford.nlp.tagger.maxent.PairsHolder
 
pairwiseAdd(int[], int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
pairwiseAdd(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
pairwiseAdd(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
pairwiseAddInPlace(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
pairwiseAddInPlace(double[], int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
pairwiseAddInPlace(double[], short[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
pairwiseDivideInPlace(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Divide the first array by the second elementwise, and store results in place.
pairwiseMultiply(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Assumes that both arrays have same length.
pairwiseMultiply(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Assumes that both arrays have same length.
pairwiseMultiply(double[], double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Puts the result in the result array.
pairwiseMultiply(float[], float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Puts the result in the result array.
pairwiseScaleAdd(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
pairwiseScaleAddInPlace(double[], double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
 
pairwiseSubtract(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
pairwiseSubtract(float[], float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
pairwiseSubtractInPlace(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
paragraph - Variable in class edu.stanford.nlp.dcoref.Mention
 
ParagraphAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParagraphAnnotation
 
ParagraphsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParagraphsAnnotation
 
parallelE - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
parallelEhat - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
ParamInfo(String, String, Class, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
 
paramsToVector(int, Iterator<SimpleMatrix>...) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Given a sequence of iterators over the matrices, builds a vector out of those matrices in the order given.
paramsToVector(double, int, Iterator<SimpleMatrix>...) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Given a sequence of iterators over the matrices, builds a vector out of those matrices in the order given.
paramsToVector(double) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
paramsToVector() - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
paramsToVector() - Method in class edu.stanford.nlp.sentiment.SentimentModel
 
ParaPositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParaPositionAnnotation
 
PARATAXIS - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "parataxis" grammatical relation.
PAREN - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
parent - Variable in class edu.stanford.nlp.parser.lexparser.BinaryRule
 
parent() - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
 
parent() - Method in interface edu.stanford.nlp.parser.lexparser.Rule
 
parent - Variable in class edu.stanford.nlp.parser.lexparser.UnaryRule
 
parent() - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
 
parent() - Method in interface edu.stanford.nlp.trees.HasParent
 
parent() - Method in class edu.stanford.nlp.trees.Tree
Return the parent of the tree node.
parent(Tree) - Method in class edu.stanford.nlp.trees.Tree
Return the parent of the tree node.
parent - Variable in class edu.stanford.nlp.trees.TreeGraphNode
Parent of this node.
parent() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Get the parent for the current node.
ParentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ParentAnnotation
 
ParentAnnotationStats - Class in edu.stanford.nlp.parser.lexparser
See what parent annotation helps in treebank, based on support and KL divergence.
PARENTHETICAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "parenthetical modifier" (prnmod) grammatical relation (Chinese-specific).
parentPairs(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a list of pairs of a relation name and the parent IndexedFeatureLabel to which we bear that relation.
parentSkip - Static variable in class edu.stanford.nlp.parser.ui.TreeJPanel
 
paRootDtr - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: parent annotate daughter of root.
parse(String) - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
Parses one file or directory with data from one domain
parse(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
 
parse(List<CoreLabel>, List<ParserConstraint>) - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
 
parse(String) - Method in class edu.stanford.nlp.ling.BasicDocument
Tokenizes the given text to populate the list of words this Document represents.
parse(String) - Method in class edu.stanford.nlp.parser.common.ParserGrammar
Will parse the text in sentence as if it represented a single sentence by first processing it with a tokenizer.
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.common.ParserGrammar
Parses the list of HasWord.
parse(List<? extends HasWord>) - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
Parse a Sentence.
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustiveDependencyParser
 
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
parse(HTKLatticeReader) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
parse(Lattice) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
Parse a Sentence.
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Parses the list of HasWord.
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
Parse a sentence represented as a List of tokens.
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
parse(List<? extends HasWord>) - Method in interface edu.stanford.nlp.parser.lexparser.Scorer
 
parse(List<? extends HasWord>) - Method in interface edu.stanford.nlp.parser.Parser
Parses the given sentence.
parse(String) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
parse(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
parse(Tree) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
parse(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.AnnotatorFactories
 
parse(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
Annotate parse trees
parse(Properties) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
Configure Redwood (from scratch) based on a Properties file.
parse() - Method in class edu.stanford.nlp.util.StringParsingTask
Parses the String associated with this StringParsingTask and returns a object of type E.
PARSE_AND_TAG - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
PARSE_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
PARSE_TAG_BINARIZED_TREES - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
parseAndReport(List<? extends HasWord>, PrintWriter) - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
parseAndReport(List<? extends HasWord>, PrintWriter) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
Implements the same parsing with fallback that parse() does, but also outputs status messages for failed parses to pwErr.
parseAndReport(List<? extends HasWord>, PrintWriter) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
parseAndReport(List<? extends HasWord>, PrintWriter) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
TODO: if we add anything interesting to report, we should report it here
parseCommandLineArguments(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
A simpler form of command line argument parsing.
parseCommandLineArguments(String[], boolean) - Static method in class edu.stanford.nlp.util.StringUtils
A simpler form of command line argument parsing.
parseDateTime(String, boolean) - Static method in class edu.stanford.nlp.time.SUTime
Converts a string that represents some kind of date into ISO 8601 format and returns it as a SUTime.Time YYYYMMDDThhmmss
parseDateTime(String) - Static method in class edu.stanford.nlp.time.SUTime
 
parseDocument(String, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
Parses an ACE document.
parseDocument(String, boolean, String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
parseDocument(File) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDomReader
Parses one ACE specification
parseDocumentText(String) - Method in class edu.stanford.nlp.ling.DocumentReader
Creates a new Document for the given text.
parseElement(String) - Static method in class edu.stanford.nlp.time.XMLUtils
 
ParseException - Exception in edu.stanford.nlp.ling.tokensregex.parser
This exception is thrown when parse errors are encountered.
ParseException(Token, int[][], String[]) - Constructor for exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
This constructor is used by the method "generateParseException" in the generated parser.
ParseException() - Constructor for exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
The following constructors are for use by you for whatever purpose you can think of.
ParseException(String) - Constructor for exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
Constructor with message.
ParseException - Exception in edu.stanford.nlp.semgraph.semgrex
This exception is thrown when parse errors are encountered.
ParseException(Token, int[][], String[]) - Constructor for exception edu.stanford.nlp.semgraph.semgrex.ParseException
This constructor is used by the method "generateParseException" in the generated parser.
ParseException() - Constructor for exception edu.stanford.nlp.semgraph.semgrex.ParseException
The following constructors are for use by you for whatever purpose you can think of.
ParseException(String) - Constructor for exception edu.stanford.nlp.semgraph.semgrex.ParseException
Constructor with message.
ParseException - Exception in edu.stanford.nlp.trees.tregex
This exception is thrown when parse errors are encountered.
ParseException(Token, int[][], String[]) - Constructor for exception edu.stanford.nlp.trees.tregex.ParseException
This constructor is used by the method "generateParseException" in the generated parser.
ParseException() - Constructor for exception edu.stanford.nlp.trees.tregex.ParseException
The following constructors are for use by you for whatever purpose you can think of.
ParseException(String) - Constructor for exception edu.stanford.nlp.trees.tregex.ParseException
Constructor with message.
ParseException - Exception in edu.stanford.nlp.trees.tregex.tsurgeon
This exception is thrown when parse errors are encountered.
ParseException(Token, int[][], String[]) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
This constructor is used by the method "generateParseException" in the generated parser.
ParseException() - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
The following constructors are for use by you for whatever purpose you can think of.
ParseException(String) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
Constructor with message.
parseFallback() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
The model had to fall back to a simpler model on the previous parse
parseFallback() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
parseFallback() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
The model had to fall back to a simpler model on the previous parse
parseFallback() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
parseFields(BufferedReader, String, int[], int[]) - Static method in class edu.stanford.nlp.util.MemoryMonitor
 
parseFile(BufferedReader, Set<String>, Map<String, Class<? extends TypesafeMap.Key<String>>>, boolean, String) - Static method in class edu.stanford.nlp.patterns.surface.AnnotatedTextReader
 
ParseFiles - Class in edu.stanford.nlp.parser.lexparser
Runs the parser over a set of files.
ParseFiles(Options, TreePrint, LexicalizedParser) - Constructor for class edu.stanford.nlp.parser.lexparser.ParseFiles
 
parseFiles(String[], int, boolean, TokenizerFactory<? extends HasWord>, String, String, Function<List<HasWord>, List<HasWord>>, String) - Method in class edu.stanford.nlp.parser.lexparser.ParseFiles
 
parseMethod(String) - Static method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
 
parseMultiple(List<? extends List<? extends HasWord>>) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
parseMultiple(List<? extends List<? extends HasWord>>, int) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Will launch multiple threads which calls parse on each of the sentences in order, returning the resulting parse trees in the same order.
parseNode(Env, String) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
parseNode(Env, String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequencePattern.Parser
 
parseNoMemory() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
The model ran out of memory on the most recent parse
parseNoMemory() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
parseNoMemory() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
The model ran out of memory on the most recent parse
parseNoMemory() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
TODO: add memory handling?
parseOperation(String) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Parses an operation string into a TsurgeonPattern.
Parser - Interface in edu.stanford.nlp.parser
The interface for parser objects.
PARSER_MAXLEN_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
PARSER_MODEL_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
ParserAnnotations - Class in edu.stanford.nlp.parser.common
Parse time options for the Stanford lexicalized parser.
ParserAnnotations.CandidatePartOfSpeechAnnotation - Class in edu.stanford.nlp.parser.common
This CoreMap key represents a regular expression which the parser will try to match when assigning tags.
ParserAnnotations.ConstraintAnnotation - Class in edu.stanford.nlp.parser.common
The CoreMap key for getting a list of constraints to apply when parsing.
ParserAnnotator - Class in edu.stanford.nlp.pipeline
This class will add parse information to an Annotation.
ParserAnnotator(boolean, int) - Constructor for class edu.stanford.nlp.pipeline.ParserAnnotator
 
ParserAnnotator(String, boolean, int, String[]) - Constructor for class edu.stanford.nlp.pipeline.ParserAnnotator
 
ParserAnnotator(ParserGrammar, boolean, int) - Constructor for class edu.stanford.nlp.pipeline.ParserAnnotator
 
ParserAnnotator(ParserGrammar, boolean, int, Function<Tree, Tree>) - Constructor for class edu.stanford.nlp.pipeline.ParserAnnotator
 
ParserAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.ParserAnnotator
 
ParserAnnotatorUtils - Class in edu.stanford.nlp.pipeline
 
ParserConstraint - Class in edu.stanford.nlp.parser.common
A Constraint represents a restriction on possible parse trees to consider.
ParserConstraint(int, int, String) - Constructor for class edu.stanford.nlp.parser.common.ParserConstraint
 
ParserConstraint(int, int, Pattern) - Constructor for class edu.stanford.nlp.parser.common.ParserConstraint
 
ParserException(Exception) - Constructor for exception edu.stanford.nlp.util.StringParsingTask.ParserException
 
ParserException(String) - Constructor for exception edu.stanford.nlp.util.StringParsingTask.ParserException
 
ParserGrammar - Class in edu.stanford.nlp.parser.common
An interface for the classes which store the data for a parser.
ParserGrammar() - Constructor for class edu.stanford.nlp.parser.common.ParserGrammar
 
parserProcessor - Variable in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
 
parserProcessor - Variable in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
Additional NL processor that implements only syntactic parsing (needed for head detection) We need this processor to detect heads of predicted entities that cannot be matched to an existing constituent.
parserQuery() - Method in class edu.stanford.nlp.parser.common.ParserGrammar
 
ParserQuery - Interface in edu.stanford.nlp.parser.common
 
parserQuery() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
parserQuery() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
ParserQueryEval - Interface in edu.stanford.nlp.parser.metrics
Evaluate based on the ParserQuery rather than the Tree produced
ParserUtils - Class in edu.stanford.nlp.parser.common
 
ParserUtils() - Constructor for class edu.stanford.nlp.parser.common.ParserUtils
 
ParserUtils - Class in edu.stanford.nlp.parser.lexparser
Factor out some useful methods more than lexparser module may want
parseSequence(Env, String) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
parseSequence(Env, String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequencePattern.Parser
 
parseSequenceWithAction(Env, String) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
parseSequenceWithAction(Env, String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequencePattern.Parser
 
parseSkipped() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
The sentence was skipped, probably because it was too long or of length 0
parseSkipped() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
parseSkipped() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
The sentence was skipped, probably because it was too long or of length 0
parseSkipped() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
TODO: skip sentences which are too long
parsesToString(List<ScoredObject<Tree>>) - Method in class edu.stanford.nlp.parser.charniak.CharniakScoredParsesReaderWriter
Convert list of scored parse trees to string representing scored parses (in the charniak parser output format)
parseString(String) - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
parseString(String) - Method in class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
parseStrings(List<String>) - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
 
parseStrings(List<String>) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Will process a list of strings into a list of HasWord and return the parse tree associated with that list.
parseSucceeded() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
Parsing succeeded without any horrible errors or fallback
parseSucceeded() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
parseSucceeded() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
Parsing succeeded without any horrible errors or fallback
parseSucceeded() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
parseTag(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
parseTree(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Similar to parse(), but instead of returning an X tree on failure, returns null.
parseUnparsable() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
The model could not parse the most recent sentence for some reason
parseUnparsable() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
parseUnparsable() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
The model could not parse the most recent sentence for some reason
parseUnparsable() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
parsevalObjectify(Tree, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Takes a Tree and a collinizer and returns a Collection of labeled Constituents for PARSEVAL.
parsevalObjectify(Tree, TreeTransformer, boolean) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Takes a Tree and a collinizer and returns a Collection of Constituents for PARSEVAL evaluation.
ParsingSystem - Class in edu.stanford.nlp.parser.nndep
Defines a transition-based parsing framework for dependency parsing.
ParsingSystem(TreebankLanguagePack, List<String>, boolean) - Constructor for class edu.stanford.nlp.parser.nndep.ParsingSystem
 
ParsingThreadsafeProcessor - Class in edu.stanford.nlp.parser.common
Takes a sentence and returns a ParserQuery with the given sentence parsed.
ParsingThreadsafeProcessor(ParserGrammar) - Constructor for class edu.stanford.nlp.parser.common.ParsingThreadsafeProcessor
 
ParsingThreadsafeProcessor(ParserGrammar, PrintWriter) - Constructor for class edu.stanford.nlp.parser.common.ParsingThreadsafeProcessor
 
PART_VERB - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "participial modifier" (prtmod) grammatical relation.
partialMatchComparator() - Static method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
 
PartialTime(SUTime.Time, Partial) - Constructor for class edu.stanford.nlp.time.SUTime.PartialTime
 
PartialTime(SUTime.PartialTime) - Constructor for class edu.stanford.nlp.time.SUTime.PartialTime
 
PartialTime(Partial) - Constructor for class edu.stanford.nlp.time.SUTime.PartialTime
 
PartialTime(SUTime.StandardTemporalType, Partial) - Constructor for class edu.stanford.nlp.time.SUTime.PartialTime
 
PartialTime() - Constructor for class edu.stanford.nlp.time.SUTime.PartialTime
 
partitionIntoFolds(List<T>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Split a list into numFolds (roughly) equally sized folds.
PartOfSpeechAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation
 
parts - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
passiveAuxWordRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
path() - Static method in class edu.stanford.nlp.trees.international.pennchinese.CEDict
 
pathFromRoot(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
returns list of tree nodes to root from t.
pathNodeToNode(Tree, Tree) - Method in class edu.stanford.nlp.trees.Tree
Given nodes t1 and t2 which are dominated by this node, returns a list of all the nodes on the path from t1 to t2, inclusive, or null if none found.
pathNodeToNode(Tree, Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
returns a list of categories that is the path from Tree from to Tree to within Tree root.
PathToFileFunction() - Constructor for class edu.stanford.nlp.objectbank.ObjectBank.PathToFileFunction
 
pattern() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
pattern() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns pattern used to create this sequence match result
pattern() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
pattern() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
 
pattern() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
 
PatternExpr() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
 
patternIndex - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
PatternLabel1() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel1
 
PatternLabel10() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel10
 
PatternLabel2() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel2
 
PatternLabel3() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel3
 
PatternLabel4() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel4
 
PatternLabel5() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel5
 
PatternLabel6() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel6
 
PatternLabel7() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel7
 
PatternLabel8() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel8
 
PatternLabel9() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.PatternLabel9
 
patternsandWords - Variable in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
patternsandWords4Label - Variable in class edu.stanford.nlp.patterns.surface.ScorePatterns
 
PatternsAnnotations - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations
 
PatternsAnnotations.Features - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations.LongestMatchedPhraseForEachLabel - Class in edu.stanford.nlp.patterns.surface
For each label, what was the longest phrase that matched.
PatternsAnnotations.MatchedPattern - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations.MatchedPatterns - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations.MatchedPhrases - Class in edu.stanford.nlp.patterns.surface
All matched phrases - can be from multiple labels
PatternsAnnotations.OtherSemanticLabel - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations.PatternLabel1 - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations.PatternLabel10 - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations.PatternLabel2 - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations.PatternLabel3 - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations.PatternLabel4 - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations.PatternLabel5 - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations.PatternLabel6 - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations.PatternLabel7 - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations.PatternLabel8 - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations.PatternLabel9 - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations.ProcessedTextAnnotation - Class in edu.stanford.nlp.patterns.surface
 
PatternsAnnotations.SeedLabeledOrNot - Class in edu.stanford.nlp.patterns.surface
 
patternScoring - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Pattern Scoring mechanism.
patternScoring - Variable in class edu.stanford.nlp.patterns.surface.ScorePatterns
 
PatternsForEachToken - Class in edu.stanford.nlp.patterns.surface
Created by Sonal Gupta on 10/8/14.
PatternsForEachToken() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsForEachToken
 
patternsForEachToken - Static variable in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
 
PatternsForEachTokenDB - Class in edu.stanford.nlp.patterns.surface
Created by sonalg on 10/22/14.
PatternsForEachTokenDB(Properties, Map<String, Map<Integer, Set<Integer>>>) - Constructor for class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
PatternsForEachTokenDB(Properties) - Constructor for class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
PatternsForEachTokenInMemory - Class in edu.stanford.nlp.patterns.surface
Created by sonalg on 10/22/14.
PatternsForEachTokenInMemory(Properties, Map<String, Map<Integer, Set<Integer>>>) - Constructor for class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
 
PatternsForEachTokenInMemory(Properties) - Constructor for class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
 
PatternToken - Class in edu.stanford.nlp.patterns.surface
Class to represent a target phrase.
PatternToken(String, boolean, boolean, int, String, boolean, boolean, String) - Constructor for class edu.stanford.nlp.patterns.surface.PatternToken
 
pcfgThreshold - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If this variable is true, and the sum of the inside and outside score for a constituent is worse than the best known score for a sentence by more than pcfgThresholdValue, then -Inf is returned as the outside Score by oScore() (while otherwise the true outside score is returned).
pcfgThresholdValue - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
 
pcond(int, int) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
pctSegmenterLenAdjust - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
pctSegmenterProp - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
pctSegmenterScale - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
pctSegmenterScaleByCRF - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
PeakMemoryMonitor() - Constructor for class edu.stanford.nlp.util.MemoryMonitor.PeakMemoryMonitor
 
PeakMemoryMonitor(int, int) - Constructor for class edu.stanford.nlp.util.MemoryMonitor.PeakMemoryMonitor
 
PeakMemoryMonitor(int, int, PrintStream) - Constructor for class edu.stanford.nlp.util.MemoryMonitor.PeakMemoryMonitor
 
pearsonCorrelation(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Direct computation of Pearson product-moment correlation coefficient.
pearsonsCorrelationCoefficient(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
peek(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
peek() - Method in class edu.stanford.nlp.objectbank.DelimitRegExIterator
 
peek() - Method in class edu.stanford.nlp.objectbank.LineIterator
 
peek() - Method in class edu.stanford.nlp.process.AbstractTokenizer
This is an optional operation, by default supported.
peek() - Method in interface edu.stanford.nlp.process.Tokenizer
Returns the next token, without removing it, from the Tokenizer, so that the same token will be again returned on the next call to next() or peek().
peek() - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
Indicates whether or not a new result is available.
peek() - Method in class edu.stanford.nlp.util.StringParsingTask
 
peek() - Method in class edu.stanford.nlp.util.TreeShapedStack
Returns the data in the top node of the stack.
peekNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
penaltyType - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
penaltyType should be set as follows: 0: no length penalty 1: quadratic length penalty 2: penalty for continuation chars only TODO: make this an enum
pennPOSToWordnetPOS(String) - Static method in class edu.stanford.nlp.util.StringUtils
Computes the WordNet 2.0 POS tag corresponding to the PTB POS tag s.
pennPrint(PrintWriter) - Method in class edu.stanford.nlp.trees.Tree
Print the tree as done in Penn Treebank merged files.
pennPrint(PrintWriter, boolean) - Method in class edu.stanford.nlp.trees.Tree
 
pennPrint(PrintStream) - Method in class edu.stanford.nlp.trees.Tree
Print the tree as done in Penn Treebank merged files.
pennPrint(PrintStream, boolean) - Method in class edu.stanford.nlp.trees.Tree
 
pennPrint() - Method in class edu.stanford.nlp.trees.Tree
Print the tree as done in Penn Treebank merged files.
pennString() - Method in class edu.stanford.nlp.trees.Tree
Calls pennPrint() and saves output to a String
PennTreebankLanguagePack - Class in edu.stanford.nlp.trees
Specifies the treebank/language specific components needed for parsing the English Penn Treebank.
PennTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.PennTreebankLanguagePack
Gives a handle to the TreebankLanguagePack
PennTreebankTokenizer - Class in edu.stanford.nlp.trees
Builds a tokenizer for English PennTreebank (release 2) trees.
PennTreebankTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.PennTreebankTokenizer
 
PennTreeReader - Class in edu.stanford.nlp.trees
This class implements the TreeReader interface to read Penn Treebank-style files.
PennTreeReader(Reader) - Constructor for class edu.stanford.nlp.trees.PennTreeReader
Read parse trees from a Reader.
PennTreeReader(Reader, TreeFactory) - Constructor for class edu.stanford.nlp.trees.PennTreeReader
Read parse trees from a Reader.
PennTreeReader(Reader, TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReader
Read parse trees from a Reader.
PennTreeReader(Reader, TreeFactory, TreeNormalizer, Tokenizer<String>) - Constructor for class edu.stanford.nlp.trees.PennTreeReader
Read parse trees from a Reader.
PennTreeReaderFactory - Class in edu.stanford.nlp.trees
Vends PennTreeReader objects.
PennTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
Default constructor; uses a LabeledScoredTreeFactory, with StringLabels, a PennTreebankTokenizer, and a TreeNormalizer.
PennTreeReaderFactory(TreeFactory) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
Specify your own TreeFactory; uses a PennTreebankTokenizer, and a TreeNormalizer.
PennTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
PennTreeReaderFactory(TreeFactory, TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.PennTreeReaderFactory
Specify your own TreeFactory; uses a PennTreebankTokenizer, and a TreeNormalizer.
PERCENT_SYMBOL_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
PERCENT_WORD_PATTERN - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
percentageOfTrain - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
PercentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PercentAnnotation
 
perceptronDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
PerceptronModel - Class in edu.stanford.nlp.parser.shiftreduce
 
PerceptronModel(ShiftReduceOptions, Index<Transition>, Set<String>, Set<String>, Set<String>) - Constructor for class edu.stanford.nlp.parser.shiftreduce.PerceptronModel
 
PerceptronModel(PerceptronModel) - Constructor for class edu.stanford.nlp.parser.shiftreduce.PerceptronModel
 
percolateHeadAnnotations(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Finds the head words of each tree and assigns HeadWordAnnotation to each node pointing to the correct node.
percolateHeadIndices() - Method in class edu.stanford.nlp.trees.Tree
Percolates terminal indices through a dependency tree.
percolateHeads(HeadFinder) - Method in class edu.stanford.nlp.trees.Tree
Finds the heads of the tree.
percolateHeads(HeadFinder) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Uses the specified HeadFinder to determine the heads for this node and all its descendants, and to store references to the head word node and head tag node in this node's CoreLabel and the CoreLabels of all its descendants.
PeriodicTemporalSet(SUTime.Temporal, SUTime.Duration, String, String) - Constructor for class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
 
PeriodicTemporalSet(SUTime.PeriodicTemporalSet, SUTime.Temporal, SUTime.Duration, SUTime.Range, String, String) - Constructor for class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
 
perSelectNeg - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
These are used to learn weights for features if using logistic regression.
perSelectRand - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
These are used to learn weights for features if using logistic regression.
person - Variable in class edu.stanford.nlp.dcoref.Mention
 
personPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
perturbCounts(C, Random, double) - Static method in class edu.stanford.nlp.stats.Counters
 
perVals - Static variable in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
 
phInPatScoresCache - Variable in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
PHONE_PART - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
PHRASAL_VERB_PARTICLE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "phrasal verb particle" grammatical relation.
Phrase(PhraseTable.WordList, String, String, Object) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
 
phraseGazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
PhraseMatch(PhraseTable.Phrase, int, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
 
PHRASEMATCH_LENGTH_ENDPOINTS_COMPARATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
PhraseScorer - Class in edu.stanford.nlp.patterns.surface
 
PhraseScorer(ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.surface.PhraseScorer
 
PhraseScorer.Normalization - Enum in edu.stanford.nlp.patterns.surface
 
PhraseStringCollection(PhraseTable, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
 
PhraseTable - Class in edu.stanford.nlp.ling.tokensregex
Table used to lookup multi-word phrases.
PhraseTable() - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
PhraseTable(int) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
PhraseTable(boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
PhraseTable.Phrase - Class in edu.stanford.nlp.ling.tokensregex
A phrase is a multiword expression
PhraseTable.PhraseMatch - Class in edu.stanford.nlp.ling.tokensregex
Represents a matched phrase
PhraseTable.PhraseStringCollection - Class in edu.stanford.nlp.ling.tokensregex
 
PhraseTable.StringList - Class in edu.stanford.nlp.ling.tokensregex
 
PhraseTable.TokenList - Class in edu.stanford.nlp.ling.tokensregex
 
PhraseTable.WordList - Interface in edu.stanford.nlp.ling.tokensregex
 
PhraseWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsAnnotation
 
PhraseWordsTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PhraseWordsTagAnnotation
 
pickFont(Graphics2D, Tree, Dimension) - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
pickFont() - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
PlainTextDocumentReaderAndWriter<IN extends CoreMap> - Class in edu.stanford.nlp.sequences
This class provides methods for reading plain text documents and writing out those documents once classified in several different formats.
PlainTextDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
Construct a PlainTextDocumentReaderAndWriter.
plainTextDocumentReaderAndWriter - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
PlainTextDocumentReaderAndWriter.OutputStyle - Enum in edu.stanford.nlp.sequences
 
plainTextReaderAndWriter() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
platt - Variable in class edu.stanford.nlp.classify.SVMLightClassifier
 
PLURAL_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
pluralPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
pluralWords - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
PLUS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
plus(DoubleAD, DoubleAD) - Static method in class edu.stanford.nlp.math.ADMath
 
plus(SimpleTensor) - Method in class edu.stanford.nlp.neural.SimpleTensor
Returns other added to the current object, which is unaffected.
plusConst(DoubleAD, double) - Static method in class edu.stanford.nlp.math.ADMath
 
plusEquals(DoubleAD) - Method in class edu.stanford.nlp.math.DoubleAD
 
plusEqualsConst(double) - Method in class edu.stanford.nlp.math.DoubleAD
 
pointwiseMutualInformation(Counter<T1>, Counter<T2>, Counter<Pair<T1, T2>>, Pair<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
 
poisson(int, double) - Static method in class edu.stanford.nlp.math.SloppyMath
 
PolarityAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PolarityAnnotation
 
poll() - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
Returns the next available result.
pollAtMostEvery(long) - Method in class edu.stanford.nlp.util.MemoryMonitor
 
pollEvery - Variable in class edu.stanford.nlp.util.MemoryMonitor
 
pollFree(boolean) - Method in class edu.stanford.nlp.util.MemoryMonitor
 
pollVMstat(boolean) - Method in class edu.stanford.nlp.util.MemoryMonitor
 
pool - Static variable in class edu.stanford.nlp.pipeline.StanfordCoreNLP
Maintains the shared pool of annotators
pop(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
pop() - Method in class edu.stanford.nlp.util.TreeShapedStack
Returns the previous state.
popNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
populated(int, int) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments
 
POS_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
position - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
Position is a binary tuple of (sentence number, mention number in that sentence).
PositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PositionAnnotation
 
positions - Variable in class edu.stanford.nlp.dcoref.Document
Position of each mention in the input matrix Each mention occurrence with sentence # and position within sentence (Nth mention, not Nth token)
POSSESSION_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "possession" grammatical relation between the possessum and the possessor.
POSSESSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "possessive" grammatical relation.
possessivePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
POSSIBLE_TAGS_ONLY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
PossibleAnswersAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PossibleAnswersAnnotation
 
possiblePlural(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
possibleTagsOnly() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
possibleValues - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
posTag(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.AnnotatorFactories
 
posTagger(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
Part of speech tag
POSTaggerAnnotator - Class in edu.stanford.nlp.pipeline
Wrapper for the maxent part of speech tagger.
POSTaggerAnnotator() - Constructor for class edu.stanford.nlp.pipeline.POSTaggerAnnotator
Create a tagger annotator using the default English tagger from the models jar (and non-verbose initialization).
POSTaggerAnnotator(boolean) - Constructor for class edu.stanford.nlp.pipeline.POSTaggerAnnotator
 
POSTaggerAnnotator(String, boolean) - Constructor for class edu.stanford.nlp.pipeline.POSTaggerAnnotator
 
POSTaggerAnnotator(String, boolean, int, int) - Constructor for class edu.stanford.nlp.pipeline.POSTaggerAnnotator
Create a POS tagger annotator.
POSTaggerAnnotator(MaxentTagger) - Constructor for class edu.stanford.nlp.pipeline.POSTaggerAnnotator
 
POSTaggerAnnotator(MaxentTagger, int, int) - Constructor for class edu.stanford.nlp.pipeline.POSTaggerAnnotator
 
POSTaggerAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.POSTaggerAnnotator
 
postGPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
postMortem() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.ie.machinereading.common.NoPunctuationHeadFinder
 
postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
A way for subclasses to fix any heads under special conditions.
postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.CollinsHeadFinder
 
postOperationFix(int, Tree[]) - Method in class edu.stanford.nlp.trees.SemanticHeadFinder
Overwrite the postOperationFix method.
postOrderNodeList() - Method in class edu.stanford.nlp.trees.Tree
 
postPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
postprocess(List<RobustTokenizer.WordToken>) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
Redefine this method to implement additional domain-specific tokenization rules
postProcessDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
 
postProcessDependencies(List<TypedDependency>) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Post process the dependencies in whatever way this language requires.
POSTPROCESSING_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
postprocessSentence(CoreMap, int) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
postSplitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
postSplitWithBaseCategory - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether, in post-splitting of categories, nodes are annotated with the (grand)parent's base category or with its complete subcategorized category.
pow(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
raises each entry in array a by power c
pow(float[], float) - Static method in class edu.stanford.nlp.math.ArrayMath
raises each entry in array a by power c
pow(double, double) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns an approximation to Math.pow(a,b) that is ~27x faster with a margin of error possibly around ~10%.
pow(Counter<T>, double) - Static method in class edu.stanford.nlp.stats.Counters
 
POW_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
powerAlignProb - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
powerAlignProbAsAddition - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
powerSet(Set<E>) - Static method in class edu.stanford.nlp.util.Sets
Returns the powerset (the set of all subsets) of set s.
powInPlace(double[], double) - Static method in class edu.stanford.nlp.math.ArrayMath
Scales the values in this array by c.
powInPlace(float[], float) - Static method in class edu.stanford.nlp.math.ArrayMath
Sets the values in this array by to their value taken to cth power.
powInPlace(Counter<T>, double) - Static method in class edu.stanford.nlp.stats.Counters
 
powNormalized(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Returns a counter where each element corresponds to the normalized count of the corresponding element in c raised to the given power.
pparser - Variable in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
 
ppAttachmentEval() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns a language specific object for evaluating PP attachment
ppAttachmentEval() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Returns a language specific object for evaluating PP attachment
PRCurve - Class in edu.stanford.nlp.classify
A class to create recall-precision curves given scores used to fit the best monotonic function for logistic regression and SVMs.
PRCurve(String) - Constructor for class edu.stanford.nlp.classify.PRCurve
reads scores with classes from a file, sorts by score and creates the arrays
PRCurve(String, boolean) - Constructor for class edu.stanford.nlp.classify.PRCurve
reads scores with classes from a file, sorts by score and creates the arrays
PRCurve(List<Pair<Double, Integer>>) - Constructor for class edu.stanford.nlp.classify.PRCurve
 
PreciseConstructs - Class in edu.stanford.nlp.dcoref.sievepasses
 
PreciseConstructs() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.PreciseConstructs
 
precision(int) - Method in class edu.stanford.nlp.classify.PRCurve
what is the best precision at the given recall
precision(Set<?>, Set<?>) - Static method in class edu.stanford.nlp.parser.metrics.AbstractEval
 
PrecisionRecallStats - Class in edu.stanford.nlp.stats
Utility class for aggregating counts of true positives, false positives, and false negatives and computing precision/recall/F1 stats.
PrecisionRecallStats() - Constructor for class edu.stanford.nlp.stats.PrecisionRecallStats
Constructs a new PrecisionRecallStats with initially 0 counts.
PrecisionRecallStats(Classifier<L, F>, Dataset<L, F>, L) - Constructor for class edu.stanford.nlp.stats.PrecisionRecallStats
 
PrecisionRecallStats(int, int, int) - Constructor for class edu.stanford.nlp.stats.PrecisionRecallStats
Constructs a new PrecisionRecallStats with the given initial counts.
preCompute() - Method in class edu.stanford.nlp.parser.nndep.Classifier
 
preCompute(Set<Integer>) - Method in class edu.stanford.nlp.parser.nndep.Classifier
Pre-compute hidden layer activations for some set of possible feature inputs.
precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.Extractor
This evaluates any precondition for a feature being applicable based on a certain tag.
precondition(String) - Method in class edu.stanford.nlp.tagger.maxent.ExtractorVerbalVBNZero
 
PRECONJUNCT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "preconjunct" grammatical relation.
PREDETERMINER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "predeterminer" grammatical relation.
PREDICATE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "predicate" grammatical relation.
predicateNominatives - Variable in class edu.stanford.nlp.dcoref.Mention
 
predict(CoreMap) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
Determine the dependency parse of the given sentence using the loaded model.
predict(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
PredictedAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PredictedAnswerAnnotation
 
PredictedClass() - Constructor for class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations.PredictedClass
 
predictedOrderedMentionsBySentence - Variable in class edu.stanford.nlp.dcoref.Document
The list of predicted mentions
PredictionError() - Constructor for class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations.PredictionError
 
Predictions() - Constructor for class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations.Predictions
 
predictSplits - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Use the method reported by Berkeley for splitting and recombining states.
predProp - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
Preferences - Class in edu.stanford.nlp.trees.tregex.gui
Manages storage and retrieval of application preferences.
Preferences() - Constructor for class edu.stanford.nlp.trees.tregex.gui.Preferences
 
PreferencesPanel - Class in edu.stanford.nlp.trees.tregex.gui
Class for creating the preferences panel which holds user definable preferences (e.g., tree display size, highlight color) and syncs these preferences with the appropriate data structures.
PreferencesPanel(TregexGUI) - Constructor for class edu.stanford.nlp.trees.tregex.gui.PreferencesPanel
 
preOrderNodeList() - Method in class edu.stanford.nlp.trees.Tree
 
prependEmbedding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
PREPOSITIONAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "prepositional complement" grammatical relation.
PREPOSITIONAL_LOCALIZER_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "prepositional localizer modifier" grammatical relation.
PREPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "prepositional modifier" grammatical relation.
PREPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "prepositional modifier" grammatical relation.
PREPOSITIONAL_OBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "prepositional object" grammatical relation.
preprocessedTerms - Variable in class edu.stanford.nlp.dcoref.Mention
 
preprocessSearchTerm() - Method in class edu.stanford.nlp.dcoref.Mention
 
preProcessSentences - Variable in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
If true, we perform syntactic analysis of the dataset sentences and annotations
preProcessSentences(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
Take a dataset Annotation, generate their parse trees and identify syntactic heads (and head spans, if necessary)
presentableText() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns a "pretty" version of the words in this Document suitable for display.
preTag - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Tag the sentences first, then parse given those (coarse) tags.
preTerminals(Tree) - Static method in class edu.stanford.nlp.trees.Trees
 
preTerminalYield() - Method in class edu.stanford.nlp.trees.Tree
Gets the preterminal yield (i.e., tags) of the tree.
preTerminalYield(List<Label>) - Method in class edu.stanford.nlp.trees.Tree
Gets the preterminal yield (i.e., tags) of the tree.
preTransformer - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
A transformer to use on the training data before any other processing step.
prettify(String) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
Prepare a string for printing in a spreadsheet for Mechanical Turk input.
prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.stats.ClassicCounter
Pretty logs the current object to specific Redwood channels.
prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.stats.IntCounter
Pretty logs the current object to specific Redwood channels.
prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.ArrayCoreMap
Pretty logs the current object to specific Redwood channels.
prettyLog(Redwood.RedwoodChannels, String) - Method in interface edu.stanford.nlp.util.logging.PrettyLoggable
Pretty logs the current object to specific Redwood channels.
prettyLog(Object) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
PrettyLog an object using these channels.
prettyLog(String, Object) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
PrettyLog an object with a description using these channels.
prettyLog(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
prettyLog(String, Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Pair
Pretty logs the current object to specific Redwood channels.
prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Quadruple
Pretty logs the current object to specific Redwood channels.
prettyLog(Redwood.RedwoodChannels, String) - Method in class edu.stanford.nlp.util.Triple
Pretty logs the current object to specific Redwood channels.
PrettyLoggable - Interface in edu.stanford.nlp.util.logging
Indicates that a class supports "pretty logging".
PrettyLogger - Class in edu.stanford.nlp.util.logging
Primarily for debugging, PrettyLogger helps you dump various collection objects in a reasonably structured way via Redwood logging.
PRETTYPRINT - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
prettyPrint(Annotation, OutputStream) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
Displays the output of all annotators in a format easily readable by people.
prettyPrint(Annotation, PrintWriter) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
Displays the output of all annotators in a format easily readable by people.
prettyPrint(Annotation, OutputStream, StanfordCoreNLP) - Static method in class edu.stanford.nlp.pipeline.TextOutputter
Static helper
prettyPrint(Annotation, PrintWriter, StanfordCoreNLP) - Static method in class edu.stanford.nlp.pipeline.TextOutputter
Static helper
prettyPrint(SemanticGraphFormatter) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Pretty-prints this semantic graph to System.out, formatted by the supplied semantic graph formatter.
prettyPrint() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Pretty-prints this semantic graph to System.out, formatted by the default semantic graph formatter.
prettyPrint(PrintWriter) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
Print a multi-line representation of the pattern illustrating its syntax.
prettyPrint(PrintStream) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
Print a multi-line representation of the pattern illustrating its syntax.
prettyPrint() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
Print a multi-line representation of the pattern illustrating its syntax to System.out.
prettyPrint() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
pretty-prints the GeneralizedCounter to System.out.
prettyPrint(PrintWriter) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
pretty-prints the GeneralizedCounter, using a buffer increment of two spaces.
prettyPrint(PrintWriter, String) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
pretty-prints the GeneralizedCounter.
prettyPrint(PrintWriter) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
Print a multi-line representation of the pattern illustrating it's syntax.
prettyPrint(PrintStream) - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
Print a multi-line representation of the pattern illustrating it's syntax.
prettyPrint() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
Print a multi-line representation of the pattern illustrating it's syntax to System.out.
prev() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
PrevChildAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PrevChildAnnotation
 
prevContext - Variable in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
PrimitiveValue(String, T, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.PrimitiveValue
 
print(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
 
print(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
 
print(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
 
print(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
 
print() - Method in class edu.stanford.nlp.maxent.Experiments
 
print(PrintFile) - Method in class edu.stanford.nlp.maxent.Experiments
 
print() - Method in class edu.stanford.nlp.maxent.Feature
Prints out the points where the feature is non-zero and the values at these points.
print(PrintStream) - Method in class edu.stanford.nlp.maxent.Feature
 
print() - Method in class edu.stanford.nlp.maxent.Features
 
print() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Print out p(y|x) for all pairs to the standard output.
print() - Method in class edu.stanford.nlp.maxent.Problem
 
print(String) - Method in class edu.stanford.nlp.maxent.Problem
 
print(Annotation, OutputStream, AnnotationOutputter.Options) - Method in class edu.stanford.nlp.pipeline.AnnotationOutputter
 
print(Annotation, OutputStream) - Method in class edu.stanford.nlp.pipeline.AnnotationOutputter
 
print(Annotation, OutputStream, StanfordCoreNLP) - Method in class edu.stanford.nlp.pipeline.AnnotationOutputter
 
print(Annotation, AnnotationOutputter.Options) - Method in class edu.stanford.nlp.pipeline.AnnotationOutputter
 
print(Annotation) - Method in class edu.stanford.nlp.pipeline.AnnotationOutputter
 
print(Annotation, StanfordCoreNLP) - Method in class edu.stanford.nlp.pipeline.AnnotationOutputter
 
print(Annotation, OutputStream, AnnotationOutputter.Options) - Method in class edu.stanford.nlp.pipeline.CoNLLOutputter
 
print(Annotation, OutputStream, AnnotationOutputter.Options) - Method in class edu.stanford.nlp.pipeline.JSONOutputter
print(Annotation, OutputStream, AnnotationOutputter.Options) - Method in class edu.stanford.nlp.pipeline.TextOutputter
print(Annotation, OutputStream, AnnotationOutputter.Options) - Method in class edu.stanford.nlp.pipeline.XMLOutputter
print(Collection<TypedDependency>, boolean, PrintWriter) - Static method in class edu.stanford.nlp.trees.TreePrint
USED BY TREEPRINT AND WSD.SUPWSD.PREPROCESS Prints this set of typed dependencies to the specified PrintWriter.
print(Collection<TypedDependency>, String, boolean, PrintWriter) - Static method in class edu.stanford.nlp.trees.TreePrint
USED BY TREEPRINT Prints this set of typed dependencies to the specified PrintWriter in the specified format.
print() - Method in class edu.stanford.nlp.util.IntTuple
 
print(Object[], String) - Method in class edu.stanford.nlp.util.logging.OutputHandler
Print a string to an output without the trailing newline.
print(Object[], String) - Method in class edu.stanford.nlp.util.logging.RedirectOutputHandler
 
print(Object[], String) - Method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler
Print a string to the console, without the trailing newline
print(Object[], String) - Method in class edu.stanford.nlp.util.logging.Redwood.FileHandler
Print a string to an output without the trailing newline.
print(boolean) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
print(char) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
print(int) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
print(long) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
print(float) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
print(double) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
print(char[]) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
print(String) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
print(Object) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
PRINT_CONLL_OUTPUT - Static variable in class edu.stanford.nlp.dcoref.Constants
if true, print in conll output format
PRINT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
printableObject(double, String) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
Returns true if it's worth saving/printing this object This happens in two cases: 1.
printableObject(double) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
printAllBestParses - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Print out all best PCFG parses.
printAllMatrices(PrintStream) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
printAnnotatedPW - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
printAnnotatedRuleCounts - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
printAnnotatedStateCounts - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
printAnswers(List<CoreLabel>, PrintWriter) - Method in class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
 
printAnswers(List<CoreLabel>, PrintWriter) - Method in class edu.stanford.nlp.sequences.ColumnDocumentReaderAndWriter
 
printAnswers(List<CoreLabel>, PrintWriter) - Method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
Write a standard CoNLL format output file.
printAnswers(List<IN>, PrintWriter) - Method in interface edu.stanford.nlp.sequences.DocumentReaderAndWriter
This method prints the output of the classifier to a PrintWriter.
printAnswers(List<IN>, PrintWriter) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
Print the classifications for the document to the given Writer.
printAnswers(List<IN>, PrintWriter, PlainTextDocumentReaderAndWriter.OutputStyle, boolean) - Method in class edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter
 
printAnswers(List<CoreLabel>, PrintWriter) - Method in class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter
 
printAnswers(List<CoreLabel>, PrintWriter) - Method in class edu.stanford.nlp.wordseg.Sighan2005DocumentReaderAndWriter
 
printArgs(String[], PrintStream) - Static method in class edu.stanford.nlp.parser.common.ArgUtils
 
printAttFsmFormat(Writer) - Method in class edu.stanford.nlp.fsm.DFSA
 
printBinarizedPW - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
printChannels(int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
Print (to console) a margin with the channels of a given log message.
printClassifier - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printClassifierParam - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
PrintCollocationStrings(PrintWriter) - Method in class edu.stanford.nlp.trees.CollocationFinder
Prints the collocations found in this Tree as strings.
printConllOutput(Document, PrintWriter, boolean) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
printConllOutput(Document, PrintWriter, boolean, boolean) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
printConllOutput(Document, PrintWriter, List<List<Mention>>, boolean) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
printConstants(Logger) - Static method in class edu.stanford.nlp.dcoref.Constants
print the values of variables in this class
printCorefCluster(Logger) - Method in class edu.stanford.nlp.dcoref.CorefCluster
Print cluster information
printCounterComparison(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Great for debugging.
printCounterComparison(Counter<E>, Counter<E>, PrintStream) - Static method in class edu.stanford.nlp.stats.Counters
Great for debugging.
printCounterComparison(Counter<E>, Counter<E>, PrintWriter) - Static method in class edu.stanford.nlp.stats.Counters
Prints one or more lines (with a newline at the end) describing the difference between the two Counters.
printCounterSortedByKeys(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
printDependencies(GrammaticalStructure, Collection<TypedDependency>, Tree, boolean, boolean) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
Print typed dependencies in either the Stanford dependency representation or in the conllx format.
printErrInvocationString(String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
 
printf(String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
printf(Locale, String, Object...) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
printF1(Logger, boolean) - Method in class edu.stanford.nlp.dcoref.CorefScorer
 
printF1(Logger) - Method in class edu.stanford.nlp.dcoref.CorefScorer
 
printF1(boolean) - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
printFactoredKGood - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Printing k-best parses from PCFG, when k > 0.
printFactorTable(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Takes the file, reads it in, and prints out the factor table at each position.
printFactorTable - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printFactorTableDocument(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Takes a List of something that extends CoreMap and prints the factor table at each point.
printFactorTableDocuments(ObjectBank<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Takes a List of documents and prints the factor table at each point.
printFeatureLists(IN, Collection<List<String>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Print the String features generated from a token.
printFeatures(IN, Collection<String>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Print the String features generated from a IN
printFeatures() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
printFeatures(String, int[][][][], int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFFeatureExporter
Output features that have already been converted into features (using documentToDataAndLabels) in format suitable for CRFSuite.
printFeatures(String, Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFFeatureExporter
Output features from a collection of documents to a file Format is with one line per token using the following format word label feat1 feat2 ...
printFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printFeaturesUpto - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
PrintFile - Class in edu.stanford.nlp.io
Shorthand class for opening an output file for human-readable output.
PrintFile(String) - Constructor for class edu.stanford.nlp.io.PrintFile
 
PrintFile(File) - Constructor for class edu.stanford.nlp.io.PrintFile
 
printFileNames() - Method in class edu.stanford.nlp.trees.DiskTreebank
 
printFirstOrderProbs(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Takes the file, reads it in, and prints out the likelihood of each possible label at each point.
printFirstOrderProbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printFirstOrderProbsDocument(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Takes a List of something that extends CoreMap and prints the likelihood of each possible label at each point.
printFirstOrderProbsDocuments(ObjectBank<List<IN>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Takes a List of documents and prints the likelihood of each possible label at each point.
printFooter(PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
 
printFullFeatureMatrix(PrintWriter) - Method in class edu.stanford.nlp.classify.Dataset
prints the full feature matrix in tab-delimited form.
printFullFeatureMatrix(PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
prints the full feature matrix in tab-delimited form.
printFullFeatureMatrixWithValues(PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
Modification of printFullFeatureMatrix to correct bugs & print values (Rajat).
printGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printHeader(PrintWriter, String) - Method in class edu.stanford.nlp.trees.TreePrint
 
printHelp(PrintStream, String) - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
Prints the list of properties required to run the pipeline
printLabelInformation(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
printLabelValue(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
printLabelValue - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printLattice(DFSA<T, S>, List<IN>, PrintWriter) - Method in interface edu.stanford.nlp.sequences.LatticeWriter
This method prints the output lattice (typically, Viterbi search graph) of the classifier to a PrintWriter.
printLattice(DFSA<String, Integer>, List<CoreLabel>, PrintWriter) - Method in class edu.stanford.nlp.wordseg.Sighan2005DocumentReaderAndWriter
 
printLengthAccuracies() - Method in class edu.stanford.nlp.sentiment.Evaluate
 
printLengthAccuracies - Variable in class edu.stanford.nlp.sentiment.RNNTestOptions
 
printLexStats() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Print some statistics about this lexicon.
printList(Logger, String...) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
println(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
 
println(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.err
 
println(String, String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
 
println(String) - Static method in class edu.stanford.nlp.io.EncodingPrintWriter.out
Print the argument plus a NEWLINE in UTF-8, regardless of the platform default.
println(Object) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
println(boolean) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
println(char) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
println(int) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
println(long) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
println(float) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
println(double) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
println(char[]) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
println(String) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
println(Object) - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
println() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
printLocalTree() - Method in class edu.stanford.nlp.trees.Tree
 
printLocalTree(PrintWriter) - Method in class edu.stanford.nlp.trees.Tree
Only prints the local tree structure, does not recurse
printMatrixNames(PrintStream) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
printMatrixStats(PrintStream) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
printMentionDetection() - Method in class edu.stanford.nlp.dcoref.Document
 
printMinMax - Variable in class edu.stanford.nlp.optimization.SMDMinimizer
 
printNode(OutputStream, Node, boolean, boolean) - Static method in class edu.stanford.nlp.time.XMLUtils
 
printNR - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printOnlyRelation - Static variable in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
printParameters() - Method in class edu.stanford.nlp.parser.nndep.Config
 
printParameterType(int, PrintStream) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
Prints to stdout the type and key for the given location in the parameter stack
printParamInformation(int) - Method in class edu.stanford.nlp.sentiment.SentimentModel
 
printPCFGkBest - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Printing k-best parses from PCFG, when k > 0.
printProbs(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Takes the file, reads it in, and prints out the likelihood of each possible label at each point.
printProbs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printProbsDocument(List<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
printProbsDocument(List<IN>) - Method in class edu.stanford.nlp.ie.ClassifierCombiner
 
printProbsDocument(List<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Takes a List of something that extends CoreMap and prints the likelihood of each possible label at each point.
printProbsDocument(List<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
Takes a List of CoreLabels and prints the likelihood of each possible label at each point.
printProbsDocument(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
printProbsDocument(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
 
printProbsDocuments(ObjectBank<List<IN>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Takes a List of documents and prints the likelihood of each possible label at each point.
printProperties(String, Properties, PrintStream) - Static method in class edu.stanford.nlp.util.PropertiesUtils
 
printProperties(String, Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils
 
printRawDoc(Document, boolean) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
Print raw document for analysis
printResults(Counter<String>, Counter<String>, Counter<String>) - Static method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Given counters of true positives, false positives, and false negatives, prints out precision, recall, and f1 for each key.
printResults(CoreMap, CoreMap) - Method in class edu.stanford.nlp.ie.machinereading.ResultsPrinter
Given a set of sentences with annotations from an information extractor class, and the same sentences with gold-standard annotations, print results on how the information extraction performed.
printResults(List<String>, List<String>) - Method in class edu.stanford.nlp.ie.machinereading.ResultsPrinter
 
printResults(PrintWriter, List<CoreMap>, List<CoreMap>) - Method in class edu.stanford.nlp.ie.machinereading.ResultsPrinter
 
printResultsUsingLabels(PrintWriter, List<String>, List<String>) - Method in class edu.stanford.nlp.ie.machinereading.ResultsPrinter
 
printRuleCounts() - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
 
printSamples(List, PrintStream) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
printScoredTrees(Iterable<List<ScoredObject<Tree>>>, String) - Method in class edu.stanford.nlp.parser.charniak.CharniakScoredParsesReaderWriter
Print scored parse trees in format used by charniak parser
printScoredTrees(PrintWriter, int, List<ScoredObject<Tree>>) - Method in class edu.stanford.nlp.parser.charniak.CharniakScoredParsesReaderWriter
Print scored parse trees for one sentence in format used by charniak parser
printSent() - Method in class edu.stanford.nlp.tagger.maxent.History
 
printSentence(List<? extends HasWord>, String) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
 
printSentences(Iterable<List<? extends HasWord>>, String) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
 
printSingletons - Variable in class edu.stanford.nlp.pipeline.AnnotationOutputter.Options
If false, will print only non-singleton entities
printSparseFeatureMatrix() - Method in class edu.stanford.nlp.classify.Dataset
Prints the sparse feature matrix using GeneralDataset.printSparseFeatureMatrix(PrintWriter) to System.out.
printSparseFeatureMatrix(PrintWriter) - Method in class edu.stanford.nlp.classify.Dataset
prints a sparse feature matrix representation of the Dataset.
printSparseFeatureMatrix() - Method in class edu.stanford.nlp.classify.GeneralDataset
Prints the sparse feature matrix using GeneralDataset.printSparseFeatureMatrix(PrintWriter) to System.out.
printSparseFeatureMatrix(PrintWriter) - Method in class edu.stanford.nlp.classify.GeneralDataset
prints a sparse feature matrix representation of the Dataset.
printSparseFeatureMatrix() - Method in class edu.stanford.nlp.classify.RVFDataset
Prints the sparse feature matrix using RVFDataset.printSparseFeatureMatrix(PrintWriter) to System.out.
printSparseFeatureMatrix(PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
Prints a sparse feature matrix representation of the Dataset.
printSparseFeatureValues(PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
Prints a sparse feature-value output of the Dataset.
printSparseFeatureValues(int, PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
Prints a sparse feature-value output of the Dataset.
printState(BasicDocument<L>) - Static method in class edu.stanford.nlp.ling.BasicDocument
For internal debugging purposes only.
printStateCounts() - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
 
printStates - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
printStats() - Method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
 
printStats() - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
 
printStats(PrintStream) - Method in class edu.stanford.nlp.util.CacheMap
Print out cache stats to the specified stream.
printStringOneCharPerLine(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
printSummary() - Method in class edu.stanford.nlp.sentiment.Evaluate
 
printSVMLightFormat(PrintWriter, ClassicCounter<Integer>, int) - Static method in class edu.stanford.nlp.classify.Dataset
Need to sort the counter by feature keys and dump it
printSVMLightFormat() - Method in class edu.stanford.nlp.classify.GeneralDataset
Dumps the Dataset as a training/test file for SVMLight.
printSVMLightFormat(PrintWriter) - Method in class edu.stanford.nlp.classify.GeneralDataset
Print SVM Light Format file.
printTable() - Method in class edu.stanford.nlp.util.ConfusionMatrix
Prints the current confusion in table form to a string, with contingency
printTask(String, Set<ResultsPrinter>, Annotation, Annotation) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
printToFile(File, String, boolean, boolean, String) - Static method in class edu.stanford.nlp.util.StringUtils
Prints to a file.
printToFile(File, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
Prints to a file.
printToFile(File, String) - Static method in class edu.stanford.nlp.util.StringUtils
Prints to a file.
printToFile(String, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
Prints to a file.
printToFile(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Prints to a file.
printToFileLn(File, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
Prints to a file.
printToFileLn(String, String, boolean) - Static method in class edu.stanford.nlp.util.StringUtils
Prints to a file.
printTopK(Logger, Document, Semantics) - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
Print logs for error analysis
printTrainLabels - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printTrainTree(PrintWriter, String, Tree) - Static method in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
printTree(Tree) - Method in class edu.stanford.nlp.trees.TreePrint
Prints the tree to the default PrintWriter.
printTree(Tree, PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
Prints the tree, with an empty ID.
printTree(Tree, String, PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
Prints the tree according to the options specified for this instance.
printTrees(List<ScoredObject<Tree>>, String, PrintWriter) - Method in class edu.stanford.nlp.trees.TreePrint
Prints the trees according to the options specified for this instance.
printTreeTransformations - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Just for debugging: check that your tree transforms work correctly.
printTrieAsRules(DFSA<T, S>, Writer) - Static method in class edu.stanford.nlp.fsm.DFSA
 
printTrieDFSA(DFSA<T, S>) - Static method in class edu.stanford.nlp.fsm.DFSA
 
printWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
printWords() - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
printWordTag - Static variable in class edu.stanford.nlp.ling.CategoryWordTag
If this is false, the tag and word are never printed in toString() calls.
printXML - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
prior - Variable in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
prior - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
prior - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
prior - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
prior - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
prior - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
 
priorAlpha - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
PriorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.PriorAnnotation
 
priorDerivative - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
The only reason this is around is because the Prior Functions don't handle stochastic calculations yet.
priority() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
priority - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
priority() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
priority - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
Priority in which this rule should be applied with respect to others
PRIORITY_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
PRIORITY_SCORE_LENGTH_ORDER_OFFSET_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
PriorityQueue<E> - Interface in edu.stanford.nlp.util
A Set that also represents an ordering of its elements, and responds quickly to add(), changePriority(), removeFirst(), and getFirst() method calls.
priorLambda - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
PriorModelFactory<IN extends CoreMap> - Interface in edu.stanford.nlp.ie
 
priorModelFactory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
A class name for a factory that vends a prior NER model that implements both SequenceModel and SequenceListener, and which is used in the Gibbs sampling sequence model inference.
priorType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
prob(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
prob(int, E) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
prob(int, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
Returns the probability for the given labels (indexed using classIndex), where the last label corresponds to the label at the specified position.
prob(int, E[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
returns the probability for the given labels, where the last label corresponds to the label at the specified position.
prob(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
prob(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
ProbabilisticClassifier<L,F> - Interface in edu.stanford.nlp.classify
 
ProbabilisticClassifierCreator<L,F> - Interface in edu.stanford.nlp.classify
Creates a probablic classifier with given weights
ProbabilityDistribution<E> - Interface in edu.stanford.nlp.stats
This is an interface for probability measures, which will allow samples to be drawn and the probability of objects computed.
probabilityOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns a counter mapping from each class name to the probability of that class for a certain example.
probabilityOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Deprecated.
probabilityOf(int[]) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
probabilityOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
probabilityOf(Collection<F>, L) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
probabilityOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
probabilityOf(Counter<F>, L) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
probabilityOf(Datum<L, F>) - Method in interface edu.stanford.nlp.classify.ProbabilisticClassifier
 
probabilityOf(Datum<String, String>) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
probabilityOf(E) - Method in class edu.stanford.nlp.stats.Distribution
Returns the normalized count of the given object.
probabilityOf(E) - Method in interface edu.stanford.nlp.stats.ProbabilityDistribution
 
probConds - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
Conditional probabilities.
Problem - Class in edu.stanford.nlp.maxent
This is a general class for a Problem to be solved by the MaxEnt toolkit.
Problem(Experiments, Features) - Constructor for class edu.stanford.nlp.maxent.Problem
 
Problem() - Constructor for class edu.stanford.nlp.maxent.Problem
 
probs(int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
probs(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
probsToDoubleArr(int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
probTB(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Calculate the probability of a dependency as a real probability between 0 and 1 inclusive.
process(CoNLL2011DocumentReader.Document) - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.CorpusStats
 
process(Dictionaries, Semantics, MentionExtractor) - Method in class edu.stanford.nlp.dcoref.Mention
Set attributes of a mention: head string, mention type, NER label, Number, Gender, Animacy
process(Dictionaries, Semantics, MentionExtractor, LogisticClassifier<String, String>) - Method in class edu.stanford.nlp.dcoref.Mention
 
process(String) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
 
process(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.common.ParsingThreadsafeProcessor
 
process(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.dvparser.DVModelReranker
 
process(List<? extends HasWord>) - Method in interface edu.stanford.nlp.parser.lexparser.Reranker
 
process(List<CoreLabel>) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
process(Annotation, List<CoreLabel>) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
process(CoreMap) - Method in class edu.stanford.nlp.pipeline.SentenceAnnotator.AnnotatorProcessor
 
process(String) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
Runs the entire pipeline on the content of the given text passed in.
process(List<? extends IN>) - Method in interface edu.stanford.nlp.process.ListProcessor
Take a List (including a Sentence) of input, and return a List that has been processed in some way.
process(List<? extends IN>) - Method in class edu.stanford.nlp.process.PTBEscapingProcessor
 
process(List<? extends Word>) - Method in class edu.stanford.nlp.process.StripTagsProcessor
Returns a new Document with the same meta-data as in, and the same words except tags are stripped.
process(List<? extends IN>) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
 
process(List<? extends List<? extends HasWord>>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Tags the Words in each Sentence in the given List with their grammatical part-of-speech.
process(I) - Method in interface edu.stanford.nlp.util.concurrent.ThreadsafeProcessor
Set the input item that will be processed when a thread is allocated to this processor.
processArc(TransducerGraph.Arc) - Method in interface edu.stanford.nlp.fsm.TransducerGraph.ArcProcessor
Modifies Arc a.
processArc(TransducerGraph.Arc) - Method in class edu.stanford.nlp.fsm.TransducerGraph.InputSplittingProcessor
 
processArc(TransducerGraph.Arc) - Method in class edu.stanford.nlp.fsm.TransducerGraph.NodeProcessorWrappingArcProcessor
 
processArc(TransducerGraph.Arc) - Method in class edu.stanford.nlp.fsm.TransducerGraph.OutputCombiningProcessor
 
processDiscourse(Dictionaries) - Method in class edu.stanford.nlp.dcoref.Document
Process discourse information
processDocument(Document<L, F, IN>) - Method in class edu.stanford.nlp.process.AbstractListProcessor
 
processDocument(Document<L, F, IN>) - Method in interface edu.stanford.nlp.process.DocumentProcessor
Converts a Document to a different Document, by transforming or filtering the original Document.
processDocument(Document<L, F, IN>) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
 
processDocument(List<IN>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
processedDataFreq - Static variable in class edu.stanford.nlp.patterns.surface.Data
 
processEdge(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
ProcessedTextAnnotation() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.ProcessedTextAnnotation
 
ProcessException(String) - Constructor for exception edu.stanford.nlp.util.SystemUtils.ProcessException
 
ProcessException(Throwable) - Constructor for exception edu.stanford.nlp.util.SystemUtils.ProcessException
 
processFile(File) - Method in class edu.stanford.nlp.trees.MemoryTreebank
Load a collection of parse trees from the file of given name.
processFile(File) - Method in interface edu.stanford.nlp.util.FileProcessor
Apply this predicate to a File.
processFiles(String, Collection<File>, int) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
processFiles(Collection<File>, int) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
processFiles(Collection<File>) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
processGraph(TransducerGraph) - Method in class edu.stanford.nlp.fsm.QuasiDeterminizer
 
processGraph(TransducerGraph) - Method in interface edu.stanford.nlp.fsm.TransducerGraph.GraphProcessor
 
processGraph(TransducerGraph) - Method in class edu.stanford.nlp.fsm.TransducerGraph.NormalizingGraphProcessor
 
processHeadWord(Label) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
processHeadWord(Label) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Allows language specific processing (e.g., stemming) of head words.
processHook(Hook) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
processItem(Item) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
processLattice() - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
processLists(List<List<IN>>) - Method in class edu.stanford.nlp.process.AbstractListProcessor
Process a list of lists of tokens.
processNode(Object) - Method in interface edu.stanford.nlp.fsm.TransducerGraph.NodeProcessor
 
processNode(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph.ObjectToSetNodeProcessor
 
processNode(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph.SetToStringNodeProcessor
 
processor - Variable in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
NL processor to use for sentence pre-processing
ProcessOutputStream(String[]) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
ProcessOutputStream(String[], Writer) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
ProcessOutputStream(String[], Writer, Writer) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
ProcessOutputStream(ProcessBuilder, Writer, Writer) - Constructor for class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
processPath(String, String, boolean, FileProcessor) - Static method in class edu.stanford.nlp.util.FilePathProcessor
Apply a method to the files under a given directory and perhaps its subdirectories.
processPath(File, String, boolean, FileProcessor) - Static method in class edu.stanford.nlp.util.FilePathProcessor
Apply a method to the files under a given directory and perhaps its subdirectories.
processPath(File, FileFilter, FileProcessor) - Static method in class edu.stanford.nlp.util.FilePathProcessor
Apply a function to the files under a given directory and perhaps its subdirectories.
processPattern(TregexPattern, TsurgeonPattern, Tree) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Tries to match a pattern against a tree.
processPatternOnTrees(TregexPattern, TsurgeonPattern, Collection<Tree>) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
Applies {#processPattern} to a collection of trees.
processPatternsOnTree(List<Pair<TregexPattern, TsurgeonPattern>>, Tree) - Static method in class edu.stanford.nlp.trees.tregex.tsurgeon.Tsurgeon
 
processRequest(Socket) - Method in class edu.stanford.nlp.parser.server.LexicalizedParserServer
Possible commands are of the form:
quit
parse query: returns a String of the parsed query
tree query: returns a serialized Tree of the parsed query
processResults(ParserQuery, Tree, PrintWriter, PrintWriter, PrintWriter, PrintWriter, TreePrint) - Method in class edu.stanford.nlp.parser.lexparser.EvaluateTreebank
 
processResults(ParserQuery, int, PrintWriter) - Method in class edu.stanford.nlp.parser.lexparser.ParseFiles
 
processSents(Map<String, List<CoreLabel>>) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
processTempEval2(AnnotationPipeline, String, String, String, String) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
processTempEval2Tab(AnnotationPipeline, String, String, Map<String, String>) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
processTempEval3(AnnotationPipeline, String, String, String) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
processTempEval3File(AnnotationPipeline, String, String) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
processText(String) - Method in class edu.stanford.nlp.process.TransformXML.NoEscapingSAXInterface
 
processText(String) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
 
processText(AnnotationPipeline, String, String, String) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
processTextFile(AnnotationPipeline, String, String, String) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
processTimebankCsv(AnnotationPipeline, String, String, String) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
processTreeHelper(String, String, Tree) - Method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
 
product(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the product of c1 and c2.
project(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
project(int) - Method in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
 
project(int) - Method in interface edu.stanford.nlp.parser.lexparser.GrammarProjection
 
project(String) - Method in interface edu.stanford.nlp.parser.lexparser.TagProjection
Project more split dependency space onto less split space.
ProjectedCategoryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ProjectedCategoryAnnotation
 
projectHooks(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
projection - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
projection - Variable in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
 
projectNode(Object) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
projectUnaries(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
PronounMatch - Class in edu.stanford.nlp.dcoref.sievepasses
 
PronounMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.PronounMatch
 
pronunciation - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
 
properties - Variable in class edu.stanford.nlp.pipeline.AnnotatorFactory
 
PropertiesUtils - Class in edu.stanford.nlp.util
 
PropertiesUtils.Property - Class in edu.stanford.nlp.util
 
Property(String, String, String) - Constructor for class edu.stanford.nlp.util.PropertiesUtils.Property
 
propertyChange(PropertyChangeEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI.TransferActionListener
 
propFileToLinkedHashMap(String, Map<String, String>) - Static method in class edu.stanford.nlp.util.StringUtils
This method reads in properties listed in a file in the format prop=value, one property per line.
propFileToProperties(String) - Static method in class edu.stanford.nlp.util.StringUtils
This method reads in properties listed in a file in the format prop=value, one property per line.
props - Variable in class edu.stanford.nlp.patterns.surface.ScorePatterns
 
props - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
ProtoAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ProtoAnnotation
 
PROX_CLASSES - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
Map of all proximity classes
prune(Predicate<Tree>) - Method in class edu.stanford.nlp.trees.Tree
Creates a deep copy of the tree, where all nodes that the filter does not accept and all children of such nodes are pruned.
prune(Predicate<Tree>, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Creates a deep copy of the tree, where all nodes that the filter does not accept and all children of such nodes are pruned.
pruneNodeFeatureIndices(int, int) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
prunePunc - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
 
pruneTW(IntTaggedWord) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
ptb2Text(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Returns a presentable version of the given PTB-tokenized text.
ptb2Text(Reader, Writer) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Writes a presentable version of the given PTB-tokenized text.
ptb2Text(List<String>) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Returns a presentable version of the given PTB-tokenized words.
PTBEscapingProcessor<IN extends HasWord,L,F> - Class in edu.stanford.nlp.process
Produces a new Document of Words in which special characters of the PTB have been properly escaped.
PTBEscapingProcessor() - Constructor for class edu.stanford.nlp.process.PTBEscapingProcessor
 
PTBEscapingProcessor(char[], String[], char[], String[], boolean) - Constructor for class edu.stanford.nlp.process.PTBEscapingProcessor
 
ptbToken2Text(String) - Static method in class edu.stanford.nlp.process.PTBTokenizer
Returns a presentable version of a given PTB token.
PTBTokenizer<T extends HasWord> - Class in edu.stanford.nlp.process
A fast, rule-based tokenizer implementation, which produces Penn Treebank style tokenization of English text.
PTBTokenizer(Reader, LexedTokenFactory<T>, String) - Constructor for class edu.stanford.nlp.process.PTBTokenizer
Constructs a new PTBTokenizer with a custom LexedTokenFactory.
PTBTokenizer.PTBTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.process
This class provides a factory which will vend instances of PTBTokenizer which wrap a provided Reader.
ptilde() - Method in class edu.stanford.nlp.maxent.Experiments
 
ptilde(int) - Method in class edu.stanford.nlp.maxent.Experiments
When we want a pre-given number of classes.
ptildeX(int) - Method in class edu.stanford.nlp.maxent.Experiments
 
ptildeXY(int, int) - Method in class edu.stanford.nlp.maxent.Experiments
 
ptildeY(int) - Method in class edu.stanford.nlp.maxent.Experiments
 
publish(LogRecord) - Method in class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler
Convert a java.util.logging call to its equivalent Redwood logging call.
PUNC - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
puncFilter - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
puncTag - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
 
PunctEquivalenceClasser - Class in edu.stanford.nlp.parser.tools
Performs equivalence classing of punctuation per PTB guidelines.
PunctEquivalenceClasser() - Constructor for class edu.stanford.nlp.parser.tools.PunctEquivalenceClasser
 
PUNCTUATION - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "punctuation" grammatical relation.
PUNCTUATION - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "punctuation" grammatical relation.
punctuationTagAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return a filter that accepts a String that is a punctuation tag name, and rejects everything else.
punctuationTagAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return a filter that accepts a String that is a punctuation tag name, and rejects everything else.
punctuationTagRejectFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return a filter that rejects a String that is a punctuation tag name, and rejects everything else.
punctuationTagRejectFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return a filter that rejects a String that is a punctuation tag name, and accepts everything else.
punctuationTags() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationTags() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationTags() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationTags() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
punctuationTags() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationTags() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationTags() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationTags() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
 
punctuationTags() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationTags() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a String array of punctuation tags for this treebank/language.
punctuationWordAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a filter that accepts a String that is a punctuation word, and rejects everything else.
punctuationWordAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a filter that accepts a String that is a punctuation word, and rejects everything else.
punctuationWordRejectFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a filter that accepts a String that is not a punctuation word, and rejects punctuation.
punctuationWordRejectFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a filter that accepts a String that is not a punctuation word, and rejects punctuation.
punctuationWords() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a String array of punctuation words for this treebank/language.
punctuationWords() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
Returns a String array of punctuation words for this treebank/language.
punctuationWords() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
Returns a String array of punctuation words for this treebank/language.
punctuationWords() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
punctuationWords() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Returns a String array of punctuation words for this treebank/language.
punctuationWords() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
Returns a String array of punctuation words for this treebank/language.
punctuationWords() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
Returns a String array of punctuation words for this treebank/language.
punctuationWords() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
 
punctuationWords() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Returns a String array of punctuation words for this treebank/language.
punctuationWords() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a String array of punctuation words for this treebank/language.
purgeDatasets - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
purgeFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
purgeRules() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
Remove A -> A UnaryRules from bestRulesUnderMax.
push(String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
push(T) - Method in class edu.stanford.nlp.util.TreeShapedStack
Returns a new node with the new data attached.
pushBack(int) - Method in interface edu.stanford.nlp.io.Lexer
Pushes back length character positions in the lexer.
pushDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
pushLambdas(TransducerGraph, ClassicCounter) - Method in class edu.stanford.nlp.fsm.QuasiDeterminizer
Takes time linear in number of arcs.
pushNode(Node) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
put(K, V) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
put(Iterable<K>, V) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
put(K[], V) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
put(K, V) - Method in class edu.stanford.nlp.util.ArrayMap
 
put(K, V) - Method in class edu.stanford.nlp.util.CacheMap
Add the entry to the map, and dump the map to a file if it's been a while since we last did.
put(K, Collection<V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Replaces current Collection mapped to key with the specified Collection.
put(I) - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
Allocate instance to a process and return.
put(K, Collection<V>) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
put(K, V) - Method in class edu.stanford.nlp.util.DeltaMap
This may cost twice what it would in the original Map because we have to find the original value for this key.
put(K1, K2, K3, V) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
put(K1, K2, V) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
put(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
putAll(Map<? extends K, ? extends V>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
putAll(Map<? extends Iterable<K>, ? extends V>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
putAll(Map<? extends K, ? extends Collection<V>>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Unsupported.
putAll(Map<? extends K, ? extends Collection<V>>) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
putAll(Map<K1, CollectionValuedMap<K2, V>>) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
 
putChildTrie(Iterable<K>, TrieMap<K, V>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
putIntoValueArrayList(Map<K, List<V>>, K, V) - Static method in class edu.stanford.nlp.util.Maps
Adds the value to the ArrayList given by map.get(key), creating a new ArrayList if needed.
putIntoValueCollection(Map<K, C>, K, V, CollectionFactory<V>) - Static method in class edu.stanford.nlp.util.Maps
Adds the value to the collection given by map.get(key).
putIntoValueHashSet(Map<K, Set<V>>, K, V) - Static method in class edu.stanford.nlp.util.Maps
Adds the value to the HashSet given by map.get(key), creating a new HashMap if needed.
putSpacesAroundTargetString(String, String) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
Finds target string in text and put spaces around it so it will be matched with we match against tokens
pw() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
The PrintWriter used to print output.
pw(OutputStream) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
The PrintWriter used to print output.
pw(OutputStream) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
The PrintWriter used to print output to OutputStream o.
pw() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
returns a PrintWriter used to print output.
pw(OutputStream) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
returns a PrintWriter used to print output to the OutputStream o.
px - Variable in class edu.stanford.nlp.maxent.Experiments
px[x] holds the number of times the history x appeared in training data
pxy - Variable in class edu.stanford.nlp.maxent.Experiments
pxy[x][y]=# times (x,y) occurred in training
py - Variable in class edu.stanford.nlp.maxent.Experiments
py[y] holds the number of times the outcome y appeared in training data
PYTHON - Static variable in class edu.stanford.nlp.time.SUTimeMain
 
pythonMod(int, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Returns a mod where the sign of the answer is the same as the sign of the second argument.

Q

qnEstimates - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
When training the DV parsing method, how many estimates to keep for the qn approximation.
QNInfo(int) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
QNInfo() - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
QNInfo(List<double[]>, List<double[]>) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
qnIterationsPerBatch - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
QNMinimizer - Class in edu.stanford.nlp.optimization
An implementation of L-BFGS for Quasi Newton unconstrained minimization.
QNMinimizer() - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(int) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(int, boolean) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(Function) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(Function, int) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(Function, int, boolean) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer(FloatFunction) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer
 
QNMinimizer.eLineSearch - Enum in edu.stanford.nlp.optimization
 
QNMinimizer.eScaling - Enum in edu.stanford.nlp.optimization
 
QNMinimizer.eState - Enum in edu.stanford.nlp.optimization
 
QNMinimizer.QNInfo - Class in edu.stanford.nlp.optimization
The QNInfo class is used to store information about the Quasi Newton update.
QNMinimizer.Record - Class in edu.stanford.nlp.optimization
The Record class is used to collect information about the function value over a series of iterations.
QNMinimizer.SurpriseConvergence - Class in edu.stanford.nlp.optimization
 
QNPasses - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
QNPasses - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
QNsize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
QNsize2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
qnTolerance - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
When training the DV parsing method, the tolerance to use if we want to stop qn early
QPtransform(Tree) - Static method in class edu.stanford.nlp.trees.QPTreeTransformer
Transforms t if it contains one of the following QP structure: NP (QP ...) (QP (CC and/or) ...) QP (RB IN CD|DT ...) well over, more than QP (JJR IN CD|DT ...) fewer than QP (IN JJS CD|DT ...) at least QP (...
QPTreeTransformer - Class in edu.stanford.nlp.trees
Transforms an English structure parse tree in order to get the dependencies right: Adds an extra structure in QP phrases:
(QP (RB well) (IN over) (CD 9)) becomes
(QP (XS (RB well) (IN over)) (CD 9))
(QP (...) (CC ...) (...)) becomes
(QP (NP ...) (CC ...) (NP ...))
QPTreeTransformer() - Constructor for class edu.stanford.nlp.trees.QPTreeTransformer
 
QUADRATIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
QUADRATIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
QUADRATIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
QUADRATIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
 
Quadruple<T1,T2,T3,T4> - Class in edu.stanford.nlp.util
A quadruple of ordered objects.
Quadruple(T1, T2, T3, T4) - Constructor for class edu.stanford.nlp.util.Quadruple
 
QUANTIFIABLE_ENTITY_NORMALIZATION_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
QuantifiableEntityNormalizer - Class in edu.stanford.nlp.ie
Various methods for normalizing Money, Date, Percent, Time, and Number, Ordinal amounts.
QUANTIFIER_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "quantifier phrase modifier" grammatical relation.
quantifiers - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
quantifiers2 - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
QUARTER - Static variable in class edu.stanford.nlp.time.SUTime
 
QUARTERHOUR - Static variable in class edu.stanford.nlp.time.SUTime
 
QUARTERLY - Static variable in class edu.stanford.nlp.time.SUTime
 
QuarterOfYear - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
Quarters - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
QUARTIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
QUARTIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
QUARTIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
QUARTIC_PRIOR - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
 
QuasiDeterminizer - Class in edu.stanford.nlp.fsm
QuasiDeterminizer.
QuasiDeterminizer() - Constructor for class edu.stanford.nlp.fsm.QuasiDeterminizer
 
Query() - Constructor for class edu.stanford.nlp.parser.dvparser.DVModelReranker.Query
 
queryIndex(Collection<Integer>, ConcurrentHashIndex<SurfacePattern>) - Method in class edu.stanford.nlp.patterns.surface.InvertedIndexByTokens
 
queryIndex(Collection<Integer>, ConcurrentHashIndex<SurfacePattern>) - Method in class edu.stanford.nlp.patterns.surface.SentenceIndex
 
queuedTracks - Variable in class edu.stanford.nlp.util.logging.OutputHandler
A list of tracks which have been started but not yet printed as no log messages are in them yet.
quiet - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
quiet - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
quiet - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
quietEvaluation - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
When evaluating, don't print out tons of text.
QUOTES - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
quotify(String) - Static method in class edu.stanford.nlp.ie.machinereading.common.SimpleTokenize
Constructs a valid quote-surrounded token All inside quotes are preceded by \

R

r - Variable in class edu.stanford.nlp.util.MemoryMonitor
 
RadicalMap - Class in edu.stanford.nlp.trees.international.pennchinese
A way to determine the primary (or "semantic") radical of a Chinese character or get the set of characters with a given semantic radical.
rand - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
randGenerator - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
random(int, int, int, double, double, Random) - Static method in class edu.stanford.nlp.neural.SimpleTensor
Returns a randomly initialized tensor with values draft from the uniform distribution between minValue and maxValue.
RandomFilter() - Constructor for class edu.stanford.nlp.util.Filters.RandomFilter
 
RandomFilter(double) - Constructor for class edu.stanford.nlp.util.Filters.RandomFilter
 
RandomFilter(double, Random) - Constructor for class edu.stanford.nlp.util.Filters.RandomFilter
 
randomGaussian(int, int, Random) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Returns a vector with random Gaussian values, mean 0, std 1
randomInitial() - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
randomize(long) - Method in class edu.stanford.nlp.classify.GeneralDataset
Randomizes the data array in place.
randomize(long) - Method in class edu.stanford.nlp.classify.RVFDataset
Randomizes the data array in place.
randomize(long) - Method in class edu.stanford.nlp.classify.WeightedDataset
Randomizes (shuffles) the data array in place.
randomizedRatio - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
randomLopFeatureSplit - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
randomLopWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
randomSeed - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
randomSeed - Variable in class edu.stanford.nlp.sentiment.RNNOptions
The random seed the random number generator is initialized with.
randomWordVectors - Variable in class edu.stanford.nlp.sentiment.RNNOptions
By default, initialize random word vectors instead of reading from a file
range(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
any in the set
range(int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
Generate a range of integers from start (inclusive) to end (exclusive).
Range(SUTime.Time, SUTime.Time) - Constructor for class edu.stanford.nlp.time.SUTime.Range
 
Range(SUTime.Time, SUTime.Time, SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.Range
 
Range(SUTime.Range, SUTime.Time, SUTime.Time, SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.Range
 
RANGE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "range" grammatical relation (Chinese only).
RANGE_EXPAND_FIX_BEGIN - Static variable in class edu.stanford.nlp.time.SUTime
 
RANGE_EXPAND_FIX_END - Static variable in class edu.stanford.nlp.time.SUTime
 
RANGE_FLAGS_PAD_AUTO - Static variable in class edu.stanford.nlp.time.SUTime
Automatic range (whatever padding we think is most appropriate, default)
RANGE_FLAGS_PAD_FINEST - Static variable in class edu.stanford.nlp.time.SUTime
Pad to most specific (whatever that is)
RANGE_FLAGS_PAD_MASK - Static variable in class edu.stanford.nlp.time.SUTime
Flags for how to pad when converting times into ranges
RANGE_FLAGS_PAD_NONE - Static variable in class edu.stanford.nlp.time.SUTime
Simple range (without padding)
RANGE_FLAGS_PAD_SPECIFIED - Static variable in class edu.stanford.nlp.time.SUTime
Pad to specified granularity
RANGE_OFFSET_BEGIN - Static variable in class edu.stanford.nlp.time.SUTime
 
RANGE_OFFSET_END - Static variable in class edu.stanford.nlp.time.SUTime
 
RANGE_RESOLVE_TIME_REF - Static variable in class edu.stanford.nlp.time.SUTime
 
rangeNot(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
not
RARE_WORD_MIN_FEATURE_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
RARE_WORD_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
ratioDomainNgramFreqWithDataFreq - Static variable in class edu.stanford.nlp.patterns.surface.Data
 
ratioGoogleNgramFreqWithDataFreq - Static variable in class edu.stanford.nlp.patterns.surface.Data
 
RAW_COUNTS - Static variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
rawFreq - Static variable in class edu.stanford.nlp.patterns.surface.Data
 
RCB - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
read(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.AceReader
Reads in ACE*.apf.xml files and converts them to RelationSentence objects.
read(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.roth.RothCONLL04Reader
 
read(String) - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
 
read() - Method in class edu.stanford.nlp.io.ReaderInputStream
Reads from the Reader, returning the same value.
read(byte[], int, int) - Method in class edu.stanford.nlp.io.ReaderInputStream
Reads from the Reader into a byte array
read(DataInputStream) - Method in class edu.stanford.nlp.ling.WordTag
 
read(InputStream) - Method in class edu.stanford.nlp.pipeline.AnnotationSerializer
Read a single object from this stream.
read(InputStream) - Method in class edu.stanford.nlp.pipeline.CustomAnnotationSerializer
 
read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
read(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
read(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
read(DataInputStream) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
read() - Method in class edu.stanford.nlp.util.StringParsingTask
 
read_lambdas(DataInputStream) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Read the lambdas from the stream.
readAndParseTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
 
readAndReturnTrainingExamples(String) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Read a set of training examples from a file, and return the data in a featurized form and in String form.
readBinarizedTreebank(String, FileFilter) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
readCEDict(String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
 
readCEDict(String, String, String, String) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
 
readClassifier(String) - Static method in class edu.stanford.nlp.classify.LinearClassifier
Loads a classifier from a file.
readColumnSet(String, int) - Static method in class edu.stanford.nlp.io.IOUtils
Read column as set
readConfig(DataInputStream) - Static method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
Read in a TaggerConfig.
readCoNLLXGrammaticalStructureCollection(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalStructure
 
readCoNLLXGrammaticalStructureCollection(String, Map<String, GrammaticalRelation>, GrammaticalStructureFromDependenciesFactory) - Static method in class edu.stanford.nlp.trees.GrammaticalStructure
Read in a file containing a CoNLL-X dependency treebank and return a corresponding list of GrammaticalStructures.
readCoNLLXGrammaticalStructureCollection(String) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
 
readCSVStrictly(char[], int) - Static method in class edu.stanford.nlp.io.IOUtils
Read a CSV file character by character.
readCSVStrictly(String, int) - Static method in class edu.stanford.nlp.io.IOUtils
 
readCSVWithHeader(String, char, char) - Static method in class edu.stanford.nlp.io.IOUtils
Read in a CSV formatted file with a header row.
readCSVWithHeader(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
Default is to throw exception.
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Populates data in this Lexicon from the character stream given by the Reader r.
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
Populates data in this BinaryGrammar from the character stream given by the Reader r.
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
readData(BufferedReader) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
Read from text grammar.
readData(BufferedReader) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Read the lexicon from the BufferedReader in the format written by writeData.
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Populates data in this DependencyGrammar from the character stream given by the Reader r.
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
 
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.Options
Populates data in this Options from the character stream.
readData(BufferedReader) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
Populates data in this UnaryGrammar from a character stream.
ReadDataTagged - Class in edu.stanford.nlp.tagger.maxent
Reads tagged data from a file and creates a dictionary.
ReadDataTagged(TaggerConfig, MaxentTagger, PairsHolder) - Constructor for class edu.stanford.nlp.tagger.maxent.ReadDataTagged
 
readDependencies(String) - Method in interface edu.stanford.nlp.trees.DependencyReader
 
readDocument(File) - Static method in class edu.stanford.nlp.ie.machinereading.common.DomReader
Constructs one Document from an XML file
readDocument() - Method in class edu.stanford.nlp.ling.DocumentReader
Reads the next document's worth of text from the reader and turns it into a Document.
readDocumentFromFile(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
readDocumentFromString(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
readDot() - Method in class edu.stanford.nlp.util.StringParsingTask
 
readDoubleArr(DataInputStream) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
reader - Variable in class edu.stanford.nlp.ie.machinereading.MachineReading
 
reader() - Method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
readerAndWriter - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
readerFromFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
Open a BufferedReader to a File.
readerFromFile(File, String) - Static method in class edu.stanford.nlp.io.IOUtils
Open a BufferedReader to a File.
readerFromStdin() - Static method in class edu.stanford.nlp.io.IOUtils
Open a BufferedReader on stdin.
readerFromStdin(String) - Static method in class edu.stanford.nlp.io.IOUtils
Open a BufferedReader on stdin.
readerFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
Open a BufferedReader to a file, class path entry or URL specified by a String name.
readerFromString(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Open a BufferedReader to a file or URL specified by a String name.
ReaderInputStream - Class in edu.stanford.nlp.io
Adapts a Reader as an InputStream.
ReaderInputStream(Reader) - Constructor for class edu.stanford.nlp.io.ReaderInputStream
Construct a ReaderInputStream for the specified Reader.
ReaderInputStream(Reader, String) - Constructor for class edu.stanford.nlp.io.ReaderInputStream
Construct a ReaderInputStream for the specified Reader, with the specified encoding.
ReaderIteratorFactory - Class in edu.stanford.nlp.objectbank
A ReaderIteratorFactory provides a means of getting an Iterator which returns java.util.Readers over a Collection of input sources.
ReaderIteratorFactory(Collection<?>) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
Constructs a ReaderIteratorFactory from the input sources contained in the Collection.
ReaderIteratorFactory(Collection<?>, String) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
 
ReaderIteratorFactory(Object) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
Convenience constructor to construct a ReaderIteratorFactory from a single input source.
ReaderIteratorFactory(Object, String) - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
 
ReaderIteratorFactory() - Constructor for class edu.stanford.nlp.objectbank.ReaderIteratorFactory
 
readerLogLevel - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
readFloatArr(DataInputStream) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
readGrammaticalStructureFromFile(String) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
readGrammaticalStructureFromFile(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
readGrammaticalStructureFromFile(String) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
readGrammaticalStructureFromFile(String) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Returns a function which reads the given filename and turns its content in a list of GrammaticalStructures.
readJavaIdentifier() - Method in class edu.stanford.nlp.util.StringParsingTask
 
readL(String) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Read the lambdas from the file.
readLeftParen() - Method in class edu.stanford.nlp.util.StringParsingTask
 
readLines(String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns an Iterable of the lines in the file.
readLines(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns an Iterable of the lines in the file.
readLines(File) - Static method in class edu.stanford.nlp.io.IOUtils
Returns an Iterable of the lines in the file.
readLines(File, Class<? extends InputStream>) - Static method in class edu.stanford.nlp.io.IOUtils
Returns an Iterable of the lines in the file.
readLines(File, Class<? extends InputStream>, String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns an Iterable of the lines in the file, wrapping the generated FileInputStream with an instance of the supplied class.
readMacros(String) - Static method in class edu.stanford.nlp.trees.tregex.Macros
 
readMacros(String, String) - Static method in class edu.stanford.nlp.trees.tregex.Macros
 
readMacros(BufferedReader) - Static method in class edu.stanford.nlp.trees.tregex.Macros
 
readMap(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
readModelAndInit(Properties, String, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
This reads the complete tagger from a single model stored in a file, at a URL, or as a resource in a jar file, and inits the tagger using a combination of the properties passed in and parameters from the file.
readModelAndInit(Properties, DataInputStream, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
This reads the complete tagger from a single model file, and inits the tagger using a combination of the properties passed in and parameters from the file.
readName() - Method in class edu.stanford.nlp.util.StringParsingTask
readNextDocumentText() - Method in class edu.stanford.nlp.ling.DocumentReader
Reads the next document's worth of text from the reader.
readObjectFromColumns(Class, String, String[], String) - Static method in class edu.stanford.nlp.io.IOUtils
 
readObjectFromFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
Read an object from a stored file.
readObjectFromFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
Read an object from a stored file.
readObjectFromFileNoExceptions(File) - Static method in class edu.stanford.nlp.io.IOUtils
Read an object from a stored file without throwing exceptions.
readObjectFromObjectStream(ObjectInputStream) - Static method in class edu.stanford.nlp.io.IOUtils
 
readObjectFromURLOrClasspathOrFileSystem(String) - Static method in class edu.stanford.nlp.io.IOUtils
Read an object from a stored file.
readPatternIndex(String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
Only for Lucene and DB
readPatternIndex(String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
readPatternIndex(String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
 
readPhrases(String, boolean) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
Read in phrases from a file (assumed to be tab delimited)
readPhrases(String, boolean, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
Read in phrases from a file.
readPhrases(String, boolean, Pattern) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
readPhrases(String, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
readPhrasesWithTagScores(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
Read in phrases where there is each pattern has a score of being associated with a certain tag.
readPhrasesWithTagScores(String, String, String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
readPhrasesWithTagScores(String, Pattern, Pattern) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
readResolve() - Method in class edu.stanford.nlp.sequences.Clique
 
readResolve() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
When deserializing a GrammaticalRelation, it needs to be matched up with the existing singleton relation of the same type.
readRightParen() - Method in class edu.stanford.nlp.util.StringParsingTask
 
readScoredTrees(String) - Method in class edu.stanford.nlp.parser.charniak.CharniakScoredParsesReaderWriter
Reads scored parses from the charniak parser File format of the scored parses <# of parses>\t ...
readScoredTrees(String, BufferedReader) - Method in class edu.stanford.nlp.parser.charniak.CharniakScoredParsesReaderWriter
Reads scored parses from the charniak parser
readSeedWords(Properties) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
readSeedWords(String) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
readSentencesFromFile(String) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
ReadSentimentDataset - Class in edu.stanford.nlp.sentiment
Reads the sentiment dataset and writes it to the appropriate files.
readStdin - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
readStreamFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
readStringPair(DataInputStream) - Static method in class edu.stanford.nlp.util.Pair
Read a string representation of a Pair from a DataStream.
readSVMLightFormat(String) - Static method in class edu.stanford.nlp.classify.Dataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String, List<String>) - Static method in class edu.stanford.nlp.classify.Dataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String, Index<String>, Index<String>) - Static method in class edu.stanford.nlp.classify.Dataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String, Index<String>, Index<String>, List<String>) - Static method in class edu.stanford.nlp.classify.Dataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String) - Static method in class edu.stanford.nlp.classify.RVFDataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String, List<String>) - Static method in class edu.stanford.nlp.classify.RVFDataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(String, Index<String>, Index<String>) - Static method in class edu.stanford.nlp.classify.RVFDataset
Constructs a Dataset by reading in a file in SVM light format.
readSVMLightFormat(File) - Method in class edu.stanford.nlp.classify.RVFDataset
Read SVM-light formatted data into this dataset.
readTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
Reads all text of the XML tag and returns it as a String.
readTestExamples(String) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Read a data set from a file at test time, and return it.
readText(Reader) - Static method in class edu.stanford.nlp.ling.DocumentReader
Returns everything that can be read from the given Reader as a String.
readTrainingExamples(String) - Method in class edu.stanford.nlp.classify.ColumnDataClassifier
Read a set of training examples from a file, and return the data in a featurized form.
readTree() - Method in class edu.stanford.nlp.trees.FilteringTreeReader
Reads a single tree.
readTree() - Method in class edu.stanford.nlp.trees.international.french.FrenchXMLTreeReader
 
readTree() - Method in class edu.stanford.nlp.trees.international.pennchinese.FragDiscardingPennTreeReader
 
readTree() - Method in class edu.stanford.nlp.trees.PennTreeReader
Reads a single tree in standard Penn Treebank format from the input stream.
readTree() - Method in interface edu.stanford.nlp.trees.TreeReader
Reads a single tree.
readTree(String, TreeFactory) - Static method in class edu.stanford.nlp.trees.Trees
Simple tree reading utility method.
readTree(String) - Static method in class edu.stanford.nlp.trees.Trees
Simple tree reading utility method.
readTreebank(String, FileFilter) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
readTreesWithGoldLabels(String) - Static method in class edu.stanford.nlp.sentiment.SentimentUtils
Given a file name, reads in those trees and returns them as a List
readUntilTag(Reader) - Static method in class edu.stanford.nlp.util.XMLUtils
Reads all text up to next XML tag and returns it as a String.
readWhiteSpace() - Method in class edu.stanford.nlp.util.StringParsingTask
 
readWordVectors() - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
realSysErr - Static variable in class edu.stanford.nlp.util.logging.Redwood
The real System.err stream
realSysOut - Static variable in class edu.stanford.nlp.util.logging.Redwood
The real System.out stream
recalculateBetas(boolean) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
Recalculates the betas for all known transitions.
recalculateMergedBetas(Map<String, int[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
recalculatePrevBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
recalculateTemporaryBetas(boolean, Map<String, double[]>, TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
Creates temporary beta data structures and fills them in by iterating over the trees.
recalculateTemporaryBetas(Tree, boolean, Map<String, double[]>, TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
recalculateTemporaryBetas(Tree, double[], int, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>, Map<String, double[]>, TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
RECOGNISED_PATTERN - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
recomputeTotal() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
Record(boolean, Function, double) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
Record(boolean, Function, double, PrintWriter) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
Record(boolean, Function, double, double) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.Record
 
Record(Object, Object[], int, long) - Constructor for class edu.stanford.nlp.util.logging.Redwood.Record
Create a new Record, based on the content of the log, the channels, and the depth
recordBinarized - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTestOptions
 
recordDebinarized - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTestOptions
 
RecordHandlerTree() - Constructor for class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
RecordHandlerTree(LogRecordHandler) - Constructor for class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
recordScore(KBestViterbiParser, PrintWriter) - Method in class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
 
recountInside(Tree, boolean, int, IdentityHashMap<Tree, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
recountOutside(Tree, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
recountOutside(Tree, Tree, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
recountOutside(Tree, Tree, Tree, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
recountTree(Tree, boolean, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
recountTree(Tree, boolean, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
recountWeights(Tree, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[][]>, IdentityHashMap<Tree, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
recurse(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
p is parent
recurseOutside(Tree, IdentityHashMap<Tree, double[]>, IdentityHashMap<Tree, double[]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
RecursiveTreeTransformer - Class in edu.stanford.nlp.trees
A tool to recursively alter a tree in various ways.
RecursiveTreeTransformer() - Constructor for class edu.stanford.nlp.trees.RecursiveTreeTransformer
 
RED - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
RedirectOutputHandler<LoggerClass,ChannelEquivalent> - Class in edu.stanford.nlp.util.logging
A class to redirect the output of Redwood to another logging mechanism, e.g., java.util.logging.
RedirectOutputHandler(LoggerClass, Method) - Constructor for class edu.stanford.nlp.util.logging.RedirectOutputHandler
Create a redirect handler, with a logging class, ignoring logging levels.
RedirectOutputHandler(LoggerClass, Method, Map<Object, ChannelEquivalent>, ChannelEquivalent) - Constructor for class edu.stanford.nlp.util.logging.RedirectOutputHandler
Create a redirect handler, with a logging class, redirecting both the logging message, and the channel that it came from
redoTags(Tree, Tagger) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
redoTags(List<Tree>, Tagger, int) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
reduceGranularityTo(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
 
reduceGranularityTo(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
reduceGranularityTo(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Time
 
Redwood - Class in edu.stanford.nlp.util.logging
A hierarchical channel based logger.
Redwood.ConsoleHandler - Class in edu.stanford.nlp.util.logging
Default output handler which actually prints things to the real System.out
Redwood.FileHandler - Class in edu.stanford.nlp.util.logging
Handler which prints to a specified file TODO: make constructors for other ways of describing files (File, for example!)
Redwood.Flag - Enum in edu.stanford.nlp.util.logging
Standard channels; enum for the sake of efficiency
Redwood.Record - Class in edu.stanford.nlp.util.logging
A log record, which encapsulates the information needed to eventually display the enclosed message.
Redwood.RecordHandlerTree - Class in edu.stanford.nlp.util.logging
A tree structure of record handlers
Redwood.RedwoodChannels - Class in edu.stanford.nlp.util.logging
Represents a collection of channels.
Redwood.Util - Class in edu.stanford.nlp.util.logging
A utility class for Redwood intended for static import (import static edu.stanford.nlp.util.logging.Redwood.Util.*;), providing a wrapper for Redwood functions and adding utility shortcuts
RedwoodChannels(Object...) - Constructor for class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
 
RedwoodConfiguration - Class in edu.stanford.nlp.util.logging
A class which encapsulates configuration settings for Redwood.
RedwoodConfiguration() - Constructor for class edu.stanford.nlp.util.logging.RedwoodConfiguration
Private constructor to prevent use of "new RedwoodConfiguration()"
RedwoodConfiguration.Handlers - Class in edu.stanford.nlp.util.logging
 
RedwoodConfiguration.Thunk - Interface in edu.stanford.nlp.util.logging
 
RedwoodHandler() - Constructor for class edu.stanford.nlp.util.logging.JavaUtilLoggingAdaptor.RedwoodHandler
 
RedwoodPrintStream - Class in edu.stanford.nlp.util.logging
A PrintStream that writes to Redwood logs.
RedwoodPrintStream(Redwood.Flag, PrintStream) - Constructor for class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
REFERENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "referent" grammatical relation.
ReflectionLoading - Class in edu.stanford.nlp.util
The goal of this class is to make it easier to load stuff by reflection.
ReflectionLoading.ReflectionLoadingException - Exception in edu.stanford.nlp.util
This class encapsulates all of the exceptions that can be thrown when loading something by reflection.
ReflectionLoadingException(String, Throwable) - Constructor for exception edu.stanford.nlp.util.ReflectionLoading.ReflectionLoadingException
 
reflexivePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
RefTime(String) - Constructor for class edu.stanford.nlp.time.SUTime.RefTime
 
RefTime(SUTime.StandardTemporalType, String, String) - Constructor for class edu.stanford.nlp.time.SUTime.RefTime
 
regClassification - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
Regularization cost for the classification matrices
regCost - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
regDistanceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
regDistanceBins - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
regentText - Variable in class edu.stanford.nlp.trees.UnnamedDependency
 
regexesToPatterns(Iterable<String>) - Static method in class edu.stanford.nlp.util.StringUtils
 
RegExFileFilter - Class in edu.stanford.nlp.io
Implements a file filter that filters based on a passed in Pattern.
RegExFileFilter(Pattern) - Constructor for class edu.stanford.nlp.io.RegExFileFilter
Sets up a RegExFileFilter which checks if the file name (not the entire path) matches the passed in Pattern.
regexGroups(Pattern, String) - Static method in class edu.stanford.nlp.util.StringUtils
Given a pattern and a string, returns a list with the values of the captured groups in the pattern.
RegexMatchResultVarExpression(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchResultVarExpression
 
RegexMatchResultVarExpression(Integer, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchResultVarExpression
 
RegexMatchVarExpression(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
 
RegexMatchVarExpression(Integer, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
 
regexNER(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.AnnotatorFactories
 
RegexNERAnnotator - Class in edu.stanford.nlp.pipeline
This class adds NER information to an annotation using the RegexNERSequenceClassifier.
RegexNERAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.RegexNERAnnotator
 
RegexNERAnnotator(String) - Constructor for class edu.stanford.nlp.pipeline.RegexNERAnnotator
 
RegexNERAnnotator(String, boolean) - Constructor for class edu.stanford.nlp.pipeline.RegexNERAnnotator
 
RegexNERAnnotator(String, boolean, String) - Constructor for class edu.stanford.nlp.pipeline.RegexNERAnnotator
 
RegexNERAnnotator(String, boolean, boolean, String, boolean) - Constructor for class edu.stanford.nlp.pipeline.RegexNERAnnotator
 
RegexNERSequenceClassifier - Class in edu.stanford.nlp.ie.regexp
A sequence classifier that labels tokens with types based on a simple manual mapping from regular expressions to the types of the entities they are meant to describe.
RegexNERSequenceClassifier(String, boolean, boolean) - Constructor for class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
 
RegexNERSequenceClassifier(String, boolean, boolean, String) - Constructor for class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
Make a new instance of this classifier.
RegexNERSequenceClassifier(BufferedReader, boolean, boolean, String) - Constructor for class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
Make a new instance of this classifier.
RegexStringFilter - Class in edu.stanford.nlp.util
Filters Strings based on whether they match a given regex.
RegexStringFilter(String) - Constructor for class edu.stanford.nlp.util.RegexStringFilter
 
RegexValue(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexValue
 
region(int, int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
Set region to search in
regionEnd() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
regionStart() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
register(String, AnnotatorFactory) - Method in class edu.stanford.nlp.pipeline.AnnotatorPool
Register an Annotator that can be created by the pool.
registerReal(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
registerRule(List<String>, List<String>, int) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
 
regParameter - Variable in class edu.stanford.nlp.parser.nndep.Config
Regularization parameter.
regTransformMatrix - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
Regularization cost for the transform matrix
regTransformTensor - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
Regularization cost for the transform tensor
regularGradientAndValue() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
regularGradientAndValue() - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
 
regularizeSoftmaxTieParam - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
regWordVector - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
Regularization cost for the word vectors
reinit() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
This method should be called after there have been changes to the flags (SeqClassifierFlags) variable, such as after deserializing a classifier.
ReInit(InputStream) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Reinitialise.
ReInit(InputStream, String) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Reinitialise.
ReInit(Reader) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Reinitialise.
ReInit(TokenSequenceParserTokenManager) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Reinitialise.
rejectFilter() - Static method in class edu.stanford.nlp.util.Filters
The rejectFilter accepts nothing.
REL_FLAGS_AFTER - Static variable in class edu.stanford.nlp.util.Interval
 
REL_FLAGS_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
 
REL_FLAGS_EE_AFTER - Static variable in class edu.stanford.nlp.util.Interval
The first interval ends after the second ends
REL_FLAGS_EE_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
The first interval ends before the second ends
REL_FLAGS_EE_SAME - Static variable in class edu.stanford.nlp.util.Interval
Both intervals have the same end point
REL_FLAGS_EE_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
 
REL_FLAGS_EE_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
The relationship between the end points of the two intervals is unknown (used for fuzzy intervals)
REL_FLAGS_ES_AFTER - Static variable in class edu.stanford.nlp.util.Interval
The end point of the first interval is after the start point of the second interval (the two intervals overlap)
REL_FLAGS_ES_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
The end point of the first interval is before the start point of the second interval (the first interval is before the second)
REL_FLAGS_ES_SAME - Static variable in class edu.stanford.nlp.util.Interval
The end point of the first interval is the same as the start point of the second interval (the first interval is before the second)
REL_FLAGS_ES_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
 
REL_FLAGS_ES_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
The relationship between the end point of the first interval and the start point of the second interval is unknown (used for fuzzy intervals)
REL_FLAGS_INTERVAL_AFTER - Static variable in class edu.stanford.nlp.util.Interval
The first interval is entirely after the second interval (the start of the first interval happens after the end of the second)
REL_FLAGS_INTERVAL_ALMOST_AFTER - Static variable in class edu.stanford.nlp.util.Interval
 
REL_FLAGS_INTERVAL_ALMOST_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
 
REL_FLAGS_INTERVAL_ALMOST_SAME - Static variable in class edu.stanford.nlp.util.Interval
 
REL_FLAGS_INTERVAL_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
The first interval is entirely before the second interval (the end of the first interval happens before the start of the second)
REL_FLAGS_INTERVAL_CONTAIN - Static variable in class edu.stanford.nlp.util.Interval
The first interval contains the second interval.
REL_FLAGS_INTERVAL_FUZZY - Static variable in class edu.stanford.nlp.util.Interval
 
REL_FLAGS_INTERVAL_INSIDE - Static variable in class edu.stanford.nlp.util.Interval
The first interval is inside the second interval.
REL_FLAGS_INTERVAL_OVERLAP - Static variable in class edu.stanford.nlp.util.Interval
The first interval overlaps with the second interval.
REL_FLAGS_INTERVAL_SAME - Static variable in class edu.stanford.nlp.util.Interval
The intervals are the same (have the same start and end points).
REL_FLAGS_INTERVAL_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
It is uncertain what the relationship between the two intervals are...
REL_FLAGS_SAME - Static variable in class edu.stanford.nlp.util.Interval
 
REL_FLAGS_SE_AFTER - Static variable in class edu.stanford.nlp.util.Interval
The start point of the first interval is after the end point of the second interval (the second interval is before the first)
REL_FLAGS_SE_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
The start point of the first interval is before the end point of the second interval (the two intervals overlap)
REL_FLAGS_SE_SAME - Static variable in class edu.stanford.nlp.util.Interval
The start point of the first interval is the same as the end point of the second interval (the second interval is before the first)
REL_FLAGS_SE_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
 
REL_FLAGS_SE_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
The relationship between the start point of the first interval and the end point of the second interval is unknown (used for fuzzy intervals)
REL_FLAGS_SS_AFTER - Static variable in class edu.stanford.nlp.util.Interval
The first interval starts after the second starts
REL_FLAGS_SS_BEFORE - Static variable in class edu.stanford.nlp.util.Interval
The first interval starts before the second starts
REL_FLAGS_SS_SAME - Static variable in class edu.stanford.nlp.util.Interval
Both intervals have the same start point
REL_FLAGS_SS_SHIFT - Static variable in class edu.stanford.nlp.util.Interval
 
REL_FLAGS_SS_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
The relationship between the start points of the two intervals is unknown (used for fuzzy intervals)
REL_FLAGS_UNKNOWN - Static variable in class edu.stanford.nlp.util.Interval
 
relation(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.AnnotatorFactories
 
RELATION_EXTRACTOR_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
RELATION_LEVEL - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReading
 
relationClassifier - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
relationExtractionPostProcessor - Variable in class edu.stanford.nlp.ie.machinereading.MachineReading
 
relationExtractionPostProcessorClass - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
relationExtractor - Variable in class edu.stanford.nlp.ie.machinereading.MachineReading
 
RelationExtractorAnnotator - Class in edu.stanford.nlp.pipeline
Annotating relations between entities produced by the NER system.
RelationExtractorAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.RelationExtractorAnnotator
 
relationExtractorClassifierType - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
which classifier to use (can be 'linear' or 'svm')
RelationFeatureFactory - Class in edu.stanford.nlp.ie.machinereading
Base class for feature factories Created by Sonal Gupta.
RelationFeatureFactory() - Constructor for class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
 
RelationFeatureFactory.DEPENDENCY_TYPE - Enum in edu.stanford.nlp.ie.machinereading
 
relationFeatureFactoryClass - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
relationFeatures - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
RelationMention - Class in edu.stanford.nlp.ie.machinereading.structure
Each relation has a type and set of arguments
RelationMention(String, CoreMap, Span, String, String, List<ExtractionObject>) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
RelationMention(String, CoreMap, Span, String, String, List<ExtractionObject>, List<String>) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
RelationMention(String, CoreMap, Span, String, String, ExtractionObject...) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
relationMentionFactory - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
RelationMentionFactory - Class in edu.stanford.nlp.ie.machinereading.structure
 
RelationMentionFactory() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.RelationMentionFactory
 
relationMentionFactoryClass - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
RelationMentionsAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.RelationMentionsAnnotation
 
relationResultsPrinters - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
relations(Properties) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
Annotate for relations expressed in sentences
relationsBeam - Variable in class edu.stanford.nlp.pipeline.AnnotationOutputter.Options
 
relationsToSkipDuringTraining - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
RELATIVE - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The RELATIVE grammatical relation is only here as a temporary relation.
RELATIVE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "relative clause modifier" grammatical relation.
RELATIVE_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "relative clause modifier" (relcl) grammatical relation.
RELATIVE_OFFSET_INEXACT - Static variable in class edu.stanford.nlp.time.SUTime
 
relativeDateMap - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
Map for mapping a relativeDate String to a pair with the field that should be modified and the amount to modify it *
relativeIndex(int) - Method in class edu.stanford.nlp.sequences.Clique
 
relativePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
relativePronouns - Variable in class edu.stanford.nlp.dcoref.Mention
 
RelativeTime(SUTime.Time, SUTime.TemporalOp, SUTime.Temporal, int) - Constructor for class edu.stanford.nlp.time.SUTime.RelativeTime
 
RelativeTime(SUTime.Time, SUTime.TemporalOp, SUTime.Temporal) - Constructor for class edu.stanford.nlp.time.SUTime.RelativeTime
 
RelativeTime(SUTime.TemporalOp, SUTime.Temporal) - Constructor for class edu.stanford.nlp.time.SUTime.RelativeTime
 
RelativeTime(SUTime.TemporalOp, SUTime.Temporal, int) - Constructor for class edu.stanford.nlp.time.SUTime.RelativeTime
 
RelativeTime(SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.RelativeTime
 
RelativeTime(SUTime.Time, SUTime.Duration) - Constructor for class edu.stanford.nlp.time.SUTime.RelativeTime
 
RelativeTime(SUTime.Time) - Constructor for class edu.stanford.nlp.time.SUTime.RelativeTime
 
RelativeTime() - Constructor for class edu.stanford.nlp.time.SUTime.RelativeTime
 
RELATIVIZING_WORD_PATTERN - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
RELATIVIZING_WORD_REGEX - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
RelaxedExactStringMatch - Class in edu.stanford.nlp.dcoref.sievepasses
 
RelaxedExactStringMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.RelaxedExactStringMatch
 
RelaxedHeadMatch - Class in edu.stanford.nlp.dcoref.sievepasses
 
RelaxedHeadMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.RelaxedHeadMatch
 
RelaxedString() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
RelaxedStringNoIdentifier() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
RelaxedStringToken() - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
relaxHook1 - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
relaxHook2 - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
relaxHook3 - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
relaxHook4 - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
relaxPriority(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Promotes a key in the queue, adding it if it wasn't there already.
relaxPriority(E, double) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Not supported in this implementation.
relaxPriority(E, double) - Method in interface edu.stanford.nlp.util.PriorityQueue
Increases the priority of the E key to the new priority if the old priority was lower than the new priority.
relaxTempEdge() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
relaxTempHook() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser.N5BiLexPCFGParser
 
relaxTempHook() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
release() - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
 
reln(IndexedWord, IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns the relation that node a has with node b.
reln() - Method in class edu.stanford.nlp.trees.TypedDependency
 
relns(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a set of relations which this node has with its parents.
remove(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.ling.IndexedWord
 
remove(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
remove(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
remove(Iterable) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
remove(K[]) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
remove(Object) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
 
remove(Object) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Unsupported Operation.
remove(Object) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
Removes an Object from the underlying Collection of input sources.
remove() - Method in class edu.stanford.nlp.process.AbstractTokenizer
This is an optional operation, by default not supported.
remove() - Method in interface edu.stanford.nlp.process.Tokenizer
Removes from the underlying collection the last element returned by the iterator.
remove(List<IN>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
remove(E) - Method in class edu.stanford.nlp.stats.ClassicCounter
Removes the given key and its associated value from this Counter.
remove(E) - Method in interface edu.stanford.nlp.stats.Counter
Removes the given key and its associated value from this Counter.
remove(E) - Method in class edu.stanford.nlp.stats.IntCounter
Removes the given key from this Counter.
remove(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
remove(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
remove(K1, K2) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
remove(K1) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
remove(K1, K2) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
remove(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
remove() - Method in class edu.stanford.nlp.tagger.io.TextTaggedFileReader
 
remove() - Method in class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
 
remove() - Method in class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
 
remove(int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
remove(Object) - Method in class edu.stanford.nlp.trees.Treebank
This operation isn't supported for a Treebank.
remove() - Method in class edu.stanford.nlp.util.AbstractIterator
Throws an UnsupportedOperationException.
remove(Class<? extends TypesafeMap.Key<VALUE>>) - Method in class edu.stanford.nlp.util.ArrayCoreMap
Removes the given key from the map, returning the value removed.
remove(Object) - Method in class edu.stanford.nlp.util.ArrayMap
 
remove(Object) - Method in class edu.stanford.nlp.util.Beam
 
remove() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
remove(Object) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
remove(Object) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Removes the mapping associated with this key from this Map.
remove() - Method in class edu.stanford.nlp.util.ConcatenationIterator
 
remove(Object) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
remove(Object) - Method in class edu.stanford.nlp.util.DeltaMap
 
remove() - Method in class edu.stanford.nlp.util.Execution.LazyFileIterator
 
remove() - Method in class edu.stanford.nlp.util.FilteredIterator
 
remove() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Not supported -- next() already removes the head of the queue.
remove(Object) - Method in class edu.stanford.nlp.util.IdentityHashSet
Removes the specified element from this set if it is present.
remove(Object) - Method in class edu.stanford.nlp.util.IntervalTree
 
remove(T) - Method in class edu.stanford.nlp.util.IntervalTree
 
remove(IntervalTree.TreeNode<E, T>, T) - Method in class edu.stanford.nlp.util.IntervalTree
 
remove() - Method in class edu.stanford.nlp.util.IterableIterator
 
remove(K1, K2, K3) - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
remove(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
remove(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalMap
Removes all of the data associated with the first key in the map
remove(K1, K2) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
 
remove(Class<? extends TypesafeMap.Key<VALUE>>) - Method in interface edu.stanford.nlp.util.TypesafeMap
Removes the given key from the map, returning the value removed.
REMOVE_ANNOTATION_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
REMOVE_APPOSITION_PREDICATENOMINATIVES - Static variable in class edu.stanford.nlp.dcoref.Constants
if true, remove appositives, predicate nominatives in post processing
REMOVE_SINGLETONS - Static variable in class edu.stanford.nlp.dcoref.Constants
if true, remove singletons in post processing
REMOVE_VALUE_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
removeAll(Collection, Collection) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
removeAll(Collection<?>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
 
removeAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Unsupported Operation.
removeAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
Removes all Objects in Collection c from the underlying Collection of input sources.
removeAll(Collection<?>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
removeAll(Collection<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter
Removes all the given keys from this Counter.
removeAll(Collection<E>) - Method in class edu.stanford.nlp.stats.IntCounter
Removes all the given keys from this Counter.
removeAll(Collection<K>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
removes the mappings associated with the keys from this map
removeAll(Collection<?>) - Method in class edu.stanford.nlp.util.IntervalTree
 
removeAll(TwoDimensionalSet<? extends K1, ? extends K2>) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
 
removeAllMatches() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
 
removeArc(TransducerGraph.Arc) - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
removeArgument(ExtractionObject, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
removeArguments(Set<ExtractionObject>, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
removeAt(double[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
Removes the element at the specified index from the array, and returns a new array containing the remaining elements.
removeAt(Object[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
Removes the element at the specified index from the array, and returns a new array containing the remaining elements.
removeBackgroundSingletonFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
removeChild(int) - Method in class edu.stanford.nlp.trees.Tree
Destructively removes the child at some daughter index and returns it.
removeChild(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
removeChildren(Node) - Static method in class edu.stanford.nlp.time.XMLUtils
 
removeDependencyRoots(List<Tree>) - Static method in class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
 
removeEdge(V, V, E) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
removeEdge(V, V, E) - Method in interface edu.stanford.nlp.graph.Graph
 
removeEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
removeEdges(V, V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
removeEdges(V, V) - Method in interface edu.stanford.nlp.graph.Graph
 
removeEldestEntry(Map.Entry<K, V>) - Method in class edu.stanford.nlp.util.CacheMap
 
removeFeature(String) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
Disable a feature.
removeFirst() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Finds the E with the highest priority, removes it, and returns it.
removeFirst() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Returns the highest-priority element and removes it from the queue.
removeFirst() - Method in interface edu.stanford.nlp.util.PriorityQueue
Finds the object with the highest priority, removes it, and returns it.
removeFromParents() - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
RemoveGFSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.RemoveGFSubcategoryStripper
 
removeKeys(TwoDimensionalCounter<E, F>, Collection<E>) - Static method in class edu.stanford.nlp.patterns.surface.ScorePhrases
 
removeKeys(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
Removes all entries with keys in the given collection
removeKeys(TwoDimensionalCounter<E, F>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
Removes all entries with keys (first key set) in the given collection
removeKeys(Map<K, V>, Collection<K>) - Static method in class edu.stanford.nlp.util.Maps
Removes keys from the map
removeLast() - Method in class edu.stanford.nlp.maxent.Features
 
removeLast() - Method in class edu.stanford.nlp.maxent.Problem
 
removeMapping(K, V) - Method in class edu.stanford.nlp.util.CollectionValuedMap
Removes the value from the Collection mapped to by this key, leaving the rest of the collection intact.
removeMapping(K, V) - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
removeNested(List<T>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
removeNullValues(List<T>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
removeObject(List<T>, T) - Static method in class edu.stanford.nlp.util.CollectionUtils
Removes the first occurrence in the list of the specified object, using object identity (==) not equality as the criterion for object presence.
removeOverlapping(List<T>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
removeOverLappingLabels(Map<String, List<CoreLabel>>) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
If a token is labeled for two or more labels, then keep the one that has the longest matching phrase.
removeOverLappingLabelsFromSeed - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Keeps only one label for each token, whichever has the longest
removeParent(ExtractionObject) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
removeParenthesis(String) - Static method in class edu.stanford.nlp.dcoref.Mention
 
removePhraseAfterHead() - Method in class edu.stanford.nlp.dcoref.Mention
Remove any clause after headword
removePhrasesWithStopWords - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
removeSecondTopStack() - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
removeSpaces(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
removeSpuriousMentions(CoreMap, List<Mention>, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
Filter out all spurious mentions
removeStopWordsFromSelectedPhrases - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
removeStrictGoodCoNLLDuplicates - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
removeTag(String) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
 
removeTopN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
removeTopNPercent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
removeTopStack() - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
removeTreeModelListener(TreeModelListener) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
removeVertex(V) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
remove a vertex (and its edges) from the graph.
removeVertex(V) - Method in interface edu.stanford.nlp.graph.Graph
remove a vertex (and its edges) from the graph.
removeVertex(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
removeVertices(Collection<V>) - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
removeVertices(Collection<V>) - Method in interface edu.stanford.nlp.graph.Graph
 
removeXOverX(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
 
removeZeroCounts() - Method in class edu.stanford.nlp.stats.IntCounter
Removes all keys whose count is 0.
removeZeroCounts() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
removeZeroCounts() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
removeZeroDegreeNodes() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
Deletes nodes with zero incoming and zero outgoing edges
removeZeroDegreeNodes() - Method in interface edu.stanford.nlp.graph.Graph
Deletes nodes with zero incoming and zero outgoing edges
renameToBackupName(File) - Static method in class edu.stanford.nlp.io.IOUtils
 
ReorderingOracle - Class in edu.stanford.nlp.parser.shiftreduce
A second attempt at making an oracle.
ReorderingOracle(ShiftReduceOptions) - Constructor for class edu.stanford.nlp.parser.shiftreduce.ReorderingOracle
 
repeat(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
repeat(char, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
RepeatedRecordHandler - Class in edu.stanford.nlp.util.logging
Filters repeated messages and replaces them with the number of times they were logged.
RepeatedRecordHandler(RepeatedRecordHandler.RepeatSemantics) - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler
Create a new repeated log message handler, using the given semantics for what constitutes a repeated record.
RepeatedRecordHandler.ApproximateRepeatSemantics - Class in edu.stanford.nlp.util.logging
Judges two records to be equal if they come from the same place, and begin with the same string, modulo numbers
RepeatedRecordHandler.ExactRepeatSemantics - Class in edu.stanford.nlp.util.logging
Judges two records to be equal if they are from the same place, and have the same message
RepeatedRecordHandler.RepeatSemantics - Interface in edu.stanford.nlp.util.logging
Determines the semantics of what constitutes a repeated record
RepeatPatternExpr(SequencePattern.PatternExpr, int, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
 
RepeatPatternExpr(SequencePattern.PatternExpr, int, int, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
 
replaceAll(List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
Replaces all occurrences of the pattern with the specified list.
replaceAllExtended(List<SequenceMatcher.MatchReplacement<T>>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
Replaces all occurrences of the pattern with the specified list of replacement items (can include matched groups).
replaceAscii(String) - Static method in class edu.stanford.nlp.util.UTF8EquivalenceFunction
 
replaceEscapes - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
 
replaceFirst(List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
Replaces the first occurrence of the pattern with the specified list.
replaceFirstExtended(List<SequenceMatcher.MatchReplacement<T>>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
Replaces the first occurrence of the pattern with the specified list of replacement items (can include matched groups).
replaceGoldArgsWithPredicted(List<EntityMention>) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
Replaces the arguments of this relations with equivalent mentions from the predictedMentions list This works only for arguments that are EntityMention!
replaceMerged(List<? extends CoreMap>, List<? extends MatchedExpression>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
replaceMergedUsingTokenOffsets(List<? extends CoreMap>, List<? extends MatchedExpression>) - Static method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
replaceNode(Tree, Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
replaces all instances (by ==) of node with node1.
replaceSubsts - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
 
REPLICATECONLL_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
report() - Method in class edu.stanford.nlp.util.Timing
Return elapsed time (without stopping timer).
report(String, PrintStream) - Method in class edu.stanford.nlp.util.Timing
Print elapsed time (without stopping timer).
report(String) - Method in class edu.stanford.nlp.util.Timing
Print elapsed time to System.err (without stopping timer).
report(String, PrintWriter) - Method in class edu.stanford.nlp.util.Timing
Print elapsed time (without stopping timer).
reportNano() - Method in class edu.stanford.nlp.util.Timing
Return elapsed time (without stopping timer).
reportNoun - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
reportVerb - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
reportWeights(LinearClassifier<String, String>, String) - Static method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
representative - Variable in class edu.stanford.nlp.dcoref.CorefCluster
Return the most representative mention in the chain.
representativeness - Variable in enum edu.stanford.nlp.dcoref.Dictionaries.MentionType
A higher representativeness means that this type of mention is more preferred for choosing the representative mention.
Requirement(String) - Constructor for class edu.stanford.nlp.pipeline.Annotator.Requirement
 
Requirement - Class in edu.stanford.nlp.pipeline
Stores and describes a set of requirements for the typical use of the pipeline.
Requirement(String...) - Constructor for class edu.stanford.nlp.pipeline.Requirement
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
 
requirementsSatisfied() - Method in interface edu.stanford.nlp.pipeline.Annotator
Returns a set of requirements for which tasks this annotator can provide.
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.BinarizerAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.CharniakParserAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.DependencyParseAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.DeterministicCorefAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.GenderAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.MorphaAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.ParserAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.POSTaggerAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.RegexNERAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.RelationExtractorAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.SentimentAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.TokenizerAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.TokensRegexAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.TrueCaseAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.pipeline.WordsToSentencesAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.time.GUTimeAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.time.HeidelTimeAnnotator
 
requirementsSatisfied() - Method in class edu.stanford.nlp.time.TimeAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
 
requires() - Method in interface edu.stanford.nlp.pipeline.Annotator
Returns the set of tasks which this annotator requires in order to perform.
requires() - Method in class edu.stanford.nlp.pipeline.BinarizerAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.CharniakParserAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.DependencyParseAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.DeterministicCorefAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.GenderAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.MorphaAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.ParserAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.POSTaggerAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.RegexNERAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.RelationExtractorAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.SentimentAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.TokenizerAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.TokensRegexAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.TrueCaseAnnotator
 
requires() - Method in class edu.stanford.nlp.pipeline.WordsToSentencesAnnotator
 
requires() - Method in class edu.stanford.nlp.time.GUTimeAnnotator
 
requires() - Method in class edu.stanford.nlp.time.HeidelTimeAnnotator
 
requires() - Method in class edu.stanford.nlp.time.TimeAnnotator
 
requiresTags() - Method in class edu.stanford.nlp.parser.common.ParserGrammar
The model requires text to be pretagged
requiresTags() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
requiresTags() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
reranker - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
Reranker - Interface in edu.stanford.nlp.parser.lexparser
A scorer which the RerankingParserQuery can use to rescore sentences.
rerankerKBest - Variable in class edu.stanford.nlp.parser.lexparser.Options
If the parser has a reranker, it looks at this many trees when building the reranked list.
RerankerQuery - Interface in edu.stanford.nlp.parser.lexparser
Process a Tree and return a score.
rerankerQuery() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
RerankingParserQuery - Class in edu.stanford.nlp.parser.lexparser
Rerank trees from the ParserQuery based on scores from a Reranker.
RerankingParserQuery(Options, ParserQuery, Reranker) - Constructor for class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
reroute(Object, Object) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Rename a channel to be something else
RerouteChannel - Class in edu.stanford.nlp.util.logging
 
RerouteChannel(Object, Object) - Constructor for class edu.stanford.nlp.util.logging.RerouteChannel
 
rescaleTemporaryBetas(TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
reservedWords - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
 
reset() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
 
reset() - Method in class edu.stanford.nlp.io.ReaderInputStream
Resets the StringReader.
reset() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
Clears matcher - Clears matched groups, reset region to be entire sequence
reset() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
Resets the matcher so that its search starts over.
reset() - Method in class edu.stanford.nlp.sentiment.Evaluate
 
reset() - Method in class edu.stanford.nlp.trees.tregex.TregexMatcher
Resets the matcher so that its search starts over.
reset() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
resetArguments() - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
resetDocs() - Method in class edu.stanford.nlp.dcoref.ACEMentionExtractor
 
resetDocs() - Method in class edu.stanford.nlp.dcoref.CoNLLMentionExtractor
 
resetDocs() - Method in class edu.stanford.nlp.dcoref.MentionExtractor
Reset so that we start at the beginning of the document collection
resetDocs() - Method in class edu.stanford.nlp.dcoref.MUCMentionExtractor
 
resetRoots() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
This method should not be used if possible.
ResettableReaderIteratorFactory - Class in edu.stanford.nlp.objectbank
Vends ReaderIterators which can always be rewound.
ResettableReaderIteratorFactory(Collection<?>) - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
Constructs a ResettableReaderIteratorFactory from the input sources contained in the Collection.
ResettableReaderIteratorFactory(Collection<?>, String) - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
 
ResettableReaderIteratorFactory(Object) - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
Convenience constructor to construct a ResettableReaderIteratorFactory from a single input source.
ResettableReaderIteratorFactory(Object, String) - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
 
ResettableReaderIteratorFactory() - Constructor for class edu.stanford.nlp.objectbank.ResettableReaderIteratorFactory
Constructs a ResettableReaderIteratorFactory with no initial input sources.
resetWeight() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
NOTE: Nothing is actually done with this value.
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
 
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
 
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.Duration
 
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
 
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
 
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
 
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
 
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.OrdinalTime
 
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
 
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.Range
 
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.RefTime
 
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
 
resolve(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.Time
 
resolve(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
 
RESOLVE_NOW - Static variable in class edu.stanford.nlp.time.SUTime
 
RESOLVE_TO_CLOSEST - Static variable in class edu.stanford.nlp.time.SUTime
 
RESOLVE_TO_FUTURE - Static variable in class edu.stanford.nlp.time.SUTime
 
RESOLVE_TO_PAST - Static variable in class edu.stanford.nlp.time.SUTime
 
RESOLVE_TO_THIS - Static variable in class edu.stanford.nlp.time.SUTime
 
resolveDowToDay(Partial, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
resolveDowToDay(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
resolveVars(String, Map) - Static method in class edu.stanford.nlp.util.StringUtils
Resolve variable.
resolveWeek(Partial, Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
resolveWeek(Partial) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
restart() - Method in class edu.stanford.nlp.util.Timing
Restart timer.
restart(String, PrintStream) - Method in class edu.stanford.nlp.util.Timing
Print elapsed time and restart timer.
restart(String) - Method in class edu.stanford.nlp.util.Timing
Print elapsed time to System.err and restart timer.
restart(String, PrintWriter) - Method in class edu.stanford.nlp.util.Timing
Print elapsed time and restart timer.
restore(OutputStream) - Method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
 
restoreOriginalWords(Tree) - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
restoreOriginalWords(Tree) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
restoreOriginalWords(Tree) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
restoreOriginalWords(Tree) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
TODO: clearly this should be a default method in ParserQuery once Java 8 comes out
restoreSystemStreams() - Static method in class edu.stanford.nlp.util.logging.Redwood
Restores System.out and System.err to their original values
restrictedArgMax(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
restrictLabels - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
restrictToMatched - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Currently, does not work correctly.
restrictTransitionsTimit - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
resultAnnotationExtractor - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
resultAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
resultAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
Annotation field(s) to put new annotation
RESULTATIVE_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "resultative complement" grammatical relation.
resultNestedAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
resultNestedAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
Annotation field for child/nested annotations
ResultsPrinter - Class in edu.stanford.nlp.ie.machinereading
Class for comparing the output of information extraction to a gold standard, and printing the results.
ResultsPrinter() - Constructor for class edu.stanford.nlp.ie.machinereading.ResultsPrinter
 
ResultStoringFloatMonitor - Class in edu.stanford.nlp.optimization
 
ResultStoringFloatMonitor(int, String) - Constructor for class edu.stanford.nlp.optimization.ResultStoringFloatMonitor
 
ResultStoringMonitor - Class in edu.stanford.nlp.optimization
 
ResultStoringMonitor(int, String) - Constructor for class edu.stanford.nlp.optimization.ResultStoringMonitor
 
resultTypeName - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
 
resultTypeName - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NumericFunction
 
resultTypeName - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
 
retainAbove(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Removes all entries with counts below the given threshold, returning the set of removed entries.
retainAbove(TwoDimensionalCounter<E1, E2>, double) - Static method in class edu.stanford.nlp.stats.Counters
Removes all entries with counts below the given threshold, returning the set of removed entries.
retainAll(Collection<?>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
 
retainAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Unsupported Operation.
retainAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory
Removes all Objects from the underlying Collection of input sources except those in Collection c
retainAll(Collection<?>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
retainAll(Collection<E>, Predicate<? super E>) - Static method in class edu.stanford.nlp.util.Filters
Removes all elems in the given Collection that aren't accepted by the given Filter.
retainAll(Collection<?>) - Method in class edu.stanford.nlp.util.IntervalTree
 
retainAll(Set<K1>) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
 
retainBelow(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Removes all entries with counts above the given threshold, returning the set of removed entries.
retainBottom(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
Removes all entries from c except for the bottom num
retainEntitySubclassification - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
retainFeatures(Set<F>) - Method in class edu.stanford.nlp.classify.GeneralDataset
Retains the given features in the Dataset.
retainKeys(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
Removes all entries with keys that does not match the given set of keys
retainMatchingKeys(Counter<String>, List<Pattern>) - Static method in class edu.stanford.nlp.stats.Counters
Removes all entries with keys that does not match one of the given patterns
retainNonZeros(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Removes all entries with 0 count in the counter, returning the set of removed entries.
retainTop(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
Removes all entries from c except for the top num
retainTopKeyComparable(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
Removes all entries from c except for the top num
retainTopMass(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Retains the minimal set of top keys such that their count sum is more than thresholdCount.
retrain(ObjectBank<List<IN>>, Index<String>, Index<String>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
retrain(ObjectBank<List<IN>>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
retrainAfterCutoff - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
If we cut off features with featureFrequencyCutoff, this retrains with only the existing features
returnLastFoundSequence - Variable in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
returnPreviousValues - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
reverse(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
reverse(List<A>) - Static method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
 
reverse(Comparator<? super T>) - Static method in class edu.stanford.nlp.util.Comparators
Returns a new Comparator which is the reverse of the given Comparator.
reverseIndexOrder(TwoDimensionalCounter<K1, K2>) - Static method in class edu.stanford.nlp.stats.TwoDimensionalCounter
Produces a new ConditionalCounter.
reverseIndexOrder(TwoDimensionalIntCounter<K1, K2>) - Static method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
Produces a new ConditionalCounter.
reverseKeys() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
 
revert(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
RewriteSymbol - Static variable in class edu.stanford.nlp.international.arabic.process.IOBUtils
 
RewriteTahSymbol - Static variable in class edu.stanford.nlp.international.arabic.process.IOBUtils
Deprecated.
use RewriteSymbol instead
RewriteTareefSymbol - Static variable in class edu.stanford.nlp.international.arabic.process.IOBUtils
Deprecated.
use RewriteSymbol instead
RewrittenArabicAnnotation() - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter.RewrittenArabicAnnotation
 
rif - Variable in class edu.stanford.nlp.objectbank.ObjectBank
 
RIGHT - Static variable in class edu.stanford.nlp.parser.lexparser.IntDependency
 
RIGHT_PARENTHESIS - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
 
rightAccepting(boolean[]) - Method in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
 
rightCharEdge(Tree) - Method in class edu.stanford.nlp.trees.Tree
Returns the positional index of the right edge of node within the tree, as measured by characters.
rightChild - Variable in class edu.stanford.nlp.parser.lexparser.BinaryRule
 
rightContext() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
 
rightEdge(Tree, Tree) - Static method in class edu.stanford.nlp.trees.Trees
Returns the positional index of the right edge of a tree t within a given root, as defined by the size of the yield of all material preceding t plus all the material contained in t.
rightFA - Variable in class edu.stanford.nlp.parser.lexparser.OutsideRuleFilter
 
rightMessage() - Method in class edu.stanford.nlp.sequences.Clique
 
rightPhrasal - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Right edge has a phrasal node.
rightRec - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Right edge is right-recursive (X << X) Bad.
rightRotate(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
 
rightSisterLabels(Tree, Tree) - Static method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
string-value labels of right sisters; from inside to outside (left-right)
rightWindow() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
rightWindow() - Method in class edu.stanford.nlp.ie.crf.TestSequenceModel
 
rightWindow() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
rightWindow() - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
How many label positions to the right influence the label assignment at a particular position.
rightWindow() - Method in interface edu.stanford.nlp.sequences.SequenceModel
How many label positions to the right influence the label assignment at a particular position.
rightWindow() - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
RNNCoreAnnotations - Class in edu.stanford.nlp.neural.rnn
 
RNNCoreAnnotations.GoldClass - Class in edu.stanford.nlp.neural.rnn
The index of the correct class
RNNCoreAnnotations.NodeVector - Class in edu.stanford.nlp.neural.rnn
Used to denote the vector (distributed representation) at a particular node.
RNNCoreAnnotations.PredictedClass - Class in edu.stanford.nlp.neural.rnn
Get the argmax of the predicted class.
RNNCoreAnnotations.PredictionError - Class in edu.stanford.nlp.neural.rnn
 
RNNCoreAnnotations.Predictions - Class in edu.stanford.nlp.neural.rnn
Used to denote a vector of predictions at a particular node
RNNOptions - Class in edu.stanford.nlp.sentiment
 
RNNOptions() - Constructor for class edu.stanford.nlp.sentiment.RNNOptions
 
RNNTestOptions - Class in edu.stanford.nlp.sentiment
Evaluation-only options for the RNN models
RNNTestOptions() - Constructor for class edu.stanford.nlp.sentiment.RNNTestOptions
 
RNNTrainOptions - Class in edu.stanford.nlp.sentiment
 
RNNTrainOptions() - Constructor for class edu.stanford.nlp.sentiment.RNNTrainOptions
 
RobustTokenizer<T extends Word> - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
 
RobustTokenizer(String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
RobustTokenizer(boolean, String) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
RobustTokenizer.AbbreviationMap - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
 
RobustTokenizer.WordToken - Class in edu.stanford.nlp.ie.machinereading.domains.ace.reader
 
RoleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.RoleAnnotation
 
roleSet - Variable in class edu.stanford.nlp.dcoref.Document
Set of roles (in role apposition) in a document
ROOT - Static variable in class edu.stanford.nlp.parser.nndep.Config
Root token string.
ROOT - Static variable in class edu.stanford.nlp.trees.GrammaticalRelation
The "root" grammatical relation between a faked "ROOT" node, and the root of the sentence.
root - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
The root Tree node for this GrammaticalStructure.
root() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Return the root Tree of this GrammaticalStructure.
rootHandler() - Static method in class edu.stanford.nlp.util.logging.Redwood
 
rootLabel - Variable in class edu.stanford.nlp.parser.nndep.ParsingSystem
Dependency label used between root of sentence and ROOT node
rootLabelOnlyFormat - Static variable in class edu.stanford.nlp.trees.TreePrint
 
rootNode() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.JJTTsurgeonParserState
 
rootSymbol() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
 
rootSymbol() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer
 
rootTW(IntTaggedWord) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
rotateUp(IntervalTree.TreeNode<E, T>, IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
 
RothCONLL04Reader - Class in edu.stanford.nlp.ie.machinereading.domains.roth
 
RothCONLL04Reader() - Constructor for class edu.stanford.nlp.ie.machinereading.domains.roth.RothCONLL04Reader
 
RothEntityExtractor - Class in edu.stanford.nlp.ie.machinereading.domains.roth
 
RothEntityExtractor() - Constructor for class edu.stanford.nlp.ie.machinereading.domains.roth.RothEntityExtractor
 
round(double) - Static method in class edu.stanford.nlp.math.SloppyMath
Round a double to the nearest integer, via conventional rules (.5 rounds up, .49 rounds down), and return the result, still as a double.
round(double, int) - Static method in class edu.stanford.nlp.math.SloppyMath
Round a double to the given number of decimal places, rounding to the nearest value via conventional rules (5 rounds up, 49 rounds down).
RRB - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
Rule(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
Rule - Interface in edu.stanford.nlp.parser.lexparser
Interface for int-format grammar rules.
RuleBasedCorefMentionFinder - Class in edu.stanford.nlp.dcoref
 
RuleBasedCorefMentionFinder() - Constructor for class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
 
RuleBasedCorefMentionFinder(boolean) - Constructor for class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
 
ruleDiscount - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Discounts the count of BinaryRule's (only, apparently) in training data.
RuleErrorEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
 
ruleIterator() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
ruleIteratorByChild(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
ruleIteratorByLeftChild(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
 
ruleIteratorByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
 
ruleIteratorByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
ruleIteratorByRightChild(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
 
ruleIteratorByWord(String, int) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Returns the possible POS taggings for a word.
ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Generate the possible taggings for a word at a sentence position.
ruleIteratorByWord(String, int, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
ruleIteratorByWord(String, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
ruleIteratorByWord(String, int, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
ruleIteratorByWord(int, int, String) - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
Rule table is lemmas.
ruleIteratorByWord(int, int, String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Get an iterator over all rules (pairs of (word, POS)) for this word.
ruleIteratorByWord(String, int, String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Same thing, but with a string that needs to be translated by the lexicon's word index
RuleList(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
ruleListByLeftChild(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
 
ruleListByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
 
ruleListByRightChild(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
 
Rules - Class in edu.stanford.nlp.dcoref
Rules for coref system (mention detection, entity coref, event coref) The name of the method for mention detection starts with detection, for entity coref starts with entity, and for event coref starts with event.
Rules() - Constructor for class edu.stanford.nlp.dcoref.Rules
 
rules() - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
 
rules() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
rulesByChild(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
rulesByParent(int) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
ruleSmoothing - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Enables linear rule smoothing during grammar extraction but before grammar compaction.
ruleSmoothingAlpha - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
rulesWithParent() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
rulesWithWord - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
An array of Lists of rules (IntTaggedWord), indexed by word.
ruleType - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
Type of rule to apply: token string match, pattern string match
run() - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
Performs extraction.
run(Properties) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
Execute the system give a properties file or object.
run() - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
run() - Method in class edu.stanford.nlp.util.ByteStreamGobbler
 
run() - Method in class edu.stanford.nlp.util.MemoryMonitor.PeakMemoryMonitor
 
run() - Method in class edu.stanford.nlp.util.StreamGobbler
 
run(ProcessBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
Start the process defined by the ProcessBuilder, and run until complete.
run(ProcessBuilder, Writer, Writer) - Static method in class edu.stanford.nlp.util.SystemUtils
Start the process defined by the ProcessBuilder, and run until complete.
RUN_DIST_CMD_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
RUN_DIST_CMD_WORK_DIR - Static variable in class edu.stanford.nlp.dcoref.Constants
 
runAndScoreCoref(SieveCoreferenceSystem, MentionExtractor, Properties, String) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
runAndScoreCorefDist(String, Properties, String) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
Run and score coref distributed
runCharniak(int, String, String, String) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
 
runConllEval(String, String, String, String, String) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
runGradientCheck(List<Tree>, IdentityHashMap<Tree, byte[]>) - Method in class edu.stanford.nlp.parser.dvparser.DVParser
 
runGradientCheck(SentimentModel, List<Tree>) - Static method in class edu.stanford.nlp.sentiment.SentimentTraining
 
runLabelSeedWords(Map<String, List<CoreLabel>>, Class, String, Set<String>, ConstantsAndVariables) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
runningAverages - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
 
runPOSNEROnTokens(List<CoreMap>, String, boolean, String, boolean, String) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
runSegmentation(CoreMap) - Method in class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
 
runShellCommand(String[], StringBuilder, StringBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
Runs the shell command which is specified, along with its arguments, in the given String array.
runShellCommand(String, StringBuilder, StringBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
Runs the shell command which is specified, along with its arguments, in the given String.
runShellCommand(String[], StringBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
Runs the shell command which is specified, along with its arguments, in the given String array.
runShellCommand(String, StringBuilder) - Static method in class edu.stanford.nlp.util.SystemUtils
Runs the shell command which is specified, along with its arguments, in the given String.
runShellCommand(String[]) - Static method in class edu.stanford.nlp.util.SystemUtils
Runs the shell command which is specified, along with its arguments, in the given String array.
runShellCommand(String) - Static method in class edu.stanford.nlp.util.SystemUtils
Runs the shell command which is specified, along with its arguments, in the given String.
runTagger(Iterable<List<X>>, BufferedWriter, PlainTextDocumentReaderAndWriter.OutputStyle) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
runTagger(BufferedReader, BufferedWriter, String, PlainTextDocumentReaderAndWriter.OutputStyle) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
This method runs the tagger on the provided reader and writer.
runTaggerSGML(BufferedReader, BufferedWriter, PlainTextDocumentReaderAndWriter.OutputStyle) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
runTaggerStdin(BufferedReader, BufferedWriter, PlainTextDocumentReaderAndWriter.OutputStyle) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
runTestSet(List<List<CoreLabel>>) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
This should be called after the classifier has been trained and parseAndTrain has been called to accumulate test set This will return precision,recall and F1 measure
RuntimeInterruptedException - Exception in edu.stanford.nlp.util
An unchecked version of InterruptedException.
RuntimeInterruptedException() - Constructor for exception edu.stanford.nlp.util.RuntimeInterruptedException
 
RuntimeInterruptedException(InterruptedException) - Constructor for exception edu.stanford.nlp.util.RuntimeInterruptedException
 
RuntimeIOException - Exception in edu.stanford.nlp.io
An unchecked version of IOException.
RuntimeIOException() - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
Creates a new exception.
RuntimeIOException(String) - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
Creates a new exception with a message.
RuntimeIOException(Throwable) - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
Creates a new exception with an embedded cause.
RuntimeIOException(String, Throwable) - Constructor for exception edu.stanford.nlp.io.RuntimeIOException
Creates a new exception with a message and an embedded cause.
rvfcalculate(double[]) - Method in class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
 
rvfcalculate(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Calculate conditional likelihood for datasets with real-valued features.
RVFClassifier<L,F> - Interface in edu.stanford.nlp.classify
A simple interface for classifying and scoring data points with real-valued features.
RVFDataset<L,F> - Class in edu.stanford.nlp.classify
An interfacing class for ClassifierFactory that incrementally builds a more memory-efficient representation of a List of RVFDatum objects for the purposes of training a Classifier with a ClassifierFactory.
RVFDataset() - Constructor for class edu.stanford.nlp.classify.RVFDataset
 
RVFDataset(int, Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.RVFDataset
 
RVFDataset(Index<F>, Index<L>) - Constructor for class edu.stanford.nlp.classify.RVFDataset
 
RVFDataset(int) - Constructor for class edu.stanford.nlp.classify.RVFDataset
 
RVFDataset(Index<L>, int[], Index<F>, int[][], double[][]) - Constructor for class edu.stanford.nlp.classify.RVFDataset
Constructor that fully specifies a Dataset.
RVFDatum<L,F> - Class in edu.stanford.nlp.ling
A basic implementation of the Datum interface that can be constructed with a Collection of features and one more more labels.
RVFDatum(Counter<F>, L) - Constructor for class edu.stanford.nlp.ling.RVFDatum
Constructs a new RVFDatum with the given features and label.
RVFDatum(Datum<L, F>) - Constructor for class edu.stanford.nlp.ling.RVFDatum
Constructs a new RVFDatum taking the data from a Datum.
RVFDatum(Counter<F>) - Constructor for class edu.stanford.nlp.ling.RVFDatum
Constructs a new RVFDatum with the given features and no labels.
RVFDatum() - Constructor for class edu.stanford.nlp.ling.RVFDatum
Constructs a new RVFDatum with no features or labels.

S

s - Variable in class edu.stanford.nlp.util.StringParsingTask
 
safeCompile(String, boolean) - Static method in class edu.stanford.nlp.trees.tregex.TregexPattern
Creates a pattern from the given string using the default HeadFinder and BasicCategoryFunction.
safeMax(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the largest value in a vector of doubles.
safeMean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the mean of a vector of doubles.
safeMin(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the largest value in a vector of doubles.
saferL2Norm(C) - Static method in class edu.stanford.nlp.stats.Counters
For counters with large # of entries, this scales down each entry in the sum, to prevent an extremely large sum from building up and overwhelming the max double.
saferL2Normalize(C) - Static method in class edu.stanford.nlp.stats.Counters
L2 normalize a counter, using the "safer" L2 normalizer.
safeStdev(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the standard deviation of a vector of doubles.
saidMemMessage() - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
saidMemMessage() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
saidMemMessage() - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
saidMemMessage() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
sameChunk(int, int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
Verifies if the two tokens are part of the same chunk
sameGenre(SurfacePattern, SurfacePattern) - Static method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
sameInnerList(PaddedList<E>) - Method in class edu.stanford.nlp.util.PaddedList
Returns true if this PaddedList and another are wrapping the same list.
sameLength(SurfacePattern, SurfacePattern) - Static method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
sameRestrictions(SurfacePattern, SurfacePattern) - Static method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
sameSentence(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
 
sample - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Used when you want to generate sample parses instead of finding the best parse.
sample(Counter<T>, Random) - Static method in class edu.stanford.nlp.stats.Counters
Does not assumes c is normalized.
sample(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
Does not assumes c is normalized.
sample(List<E>, Random) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
sample(Iterable<T>, int, int, Random) - Static method in class edu.stanford.nlp.util.Iterables
Sample k items uniformly from an Iterable of size n (without replacement).
sampleDataset(long, double, boolean) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
sampleFrom(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
Samples from the distribution over words with this POS according to the lexicon.
sampleFrom() - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
Samples over words regardless of POS: first samples POS, then samples word according to that POS
sampleFrom() - Method in class edu.stanford.nlp.stats.Distribution
Returns an object sampled from the distribution using Math.random().
sampleFrom(Random) - Method in class edu.stanford.nlp.stats.Distribution
Returns an object sampled from the distribution using a self-provided random number generator.
sampleFromDistribution(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Samples from the distribution over values 0 through d.length given by d.
sampleFromDistribution(double[], Random) - Static method in class edu.stanford.nlp.math.ArrayMath
Samples from the distribution over values 0 through d.length given by d.
sampleFromDistribution(float[], Random) - Static method in class edu.stanford.nlp.math.ArrayMath
Samples from the distribution over values 0 through d.length given by d.
sampleMethod - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
samplePosition(SequenceModel, int[], int) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples a single position in the sequence.
samplePosition(SequenceModel, int[], int, double) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples a single position in the sequence.
Sampler<T> - Interface in edu.stanford.nlp.stats
An interace for drawing samples from the label space of an object.
sampleSequenceBackward(SequenceModel, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples the complete sequence once in the backward direction Destructively modifies the sequence in place.
sampleSequenceBackward(SequenceModel, int[], double) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples the complete sequence once in the backward direction Destructively modifies the sequence in place.
sampleSequenceForward(SequenceModel, int[]) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples the complete sequence once in the forward direction Destructively modifies the sequence in place.
sampleSequenceForward(SequenceModel, int[], double, Set<Integer>) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples the complete sequence once in the forward direction Destructively modifies the sequence in place.
sampleSequenceRepeatedly(SequenceModel, int[], int) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples the sequence repeatedly, making numSamples passes over the entire sequence.
sampleSequenceRepeatedly(SequenceModel, int) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler
Samples the sequence repeatedly, making numSamples passes over the entire sequence.
sampleUniformPathFromGraph() - Method in class edu.stanford.nlp.fsm.TransducerGraph
for testing only.
sampleWithoutReplacement(int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
Fills the array with sample from 0 to numArgClasses-1 without replacement.
sampleWithoutReplacement(int[], int, Random) - Static method in class edu.stanford.nlp.math.ArrayMath
Fills the array with sample from 0 to numArgClasses-1 without replacement.
sampleWithoutReplacement(Collection<E>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Samples without replacement from a collection.
sampleWithoutReplacement(Collection<E>, int, Random) - Static method in class edu.stanford.nlp.util.CollectionUtils
Samples without replacement from a collection, using your own Random number generator.
sampleWithReplacement(Collection<E>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Samples with replacement from a collection
sampleWithReplacement(Collection<E>, int, Random) - Static method in class edu.stanford.nlp.util.CollectionUtils
Samples with replacement from a collection, using your own Random number generator
samplingSpeedUpThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
SATURDAY - Static variable in class edu.stanford.nlp.time.SUTime
 
save(String) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
save(String) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
save(String, String, int) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
Saves all dictionary entries that appeared > threshold times Note: feature indices are changed to contiguous values starting at 0.
save(String) - Method in interface edu.stanford.nlp.ie.machinereading.Extractor
Serializes this extractor to a file
save(String) - Method in class edu.stanford.nlp.ie.machinereading.ExtractorMerger
 
save(DataOutputStream) - Method in class edu.stanford.nlp.ling.WordTag
 
save(DataOutputStream) - Method in class edu.stanford.nlp.tagger.maxent.CountWrapper
 
save(DataOutputStream) - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
save(String, Map<String, Set<String>>) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
save(DataOutputStream, Map<String, Set<String>>) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
save(DataOutputStream) - Method in class edu.stanford.nlp.util.Pair
Write a string representation of a Pair to a DataStream.
save2DCounter(TwoDimensionalCounter<T1, T2>, String) - Static method in class edu.stanford.nlp.stats.Counters
 
save2DCounterSorted(TwoDimensionalCounterInterface<T1, T2>, String) - Static method in class edu.stanford.nlp.stats.Counters
 
save_lambdas(String) - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Writes the lambda feature weights to the file.
save_lambdas(DataOutputStream, double[]) - Static method in class edu.stanford.nlp.maxent.iis.LambdaSolve
Writes the lambdas to a stream.
saveConfig(OutputStream) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
Serialize the TaggerConfig.
saveCoNLL(PrintStream, List<List<CoreLabel>>, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
saveCoNLLFiles(String, Annotation, boolean, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
saveCorefChain(PrintWriter, int, CorefChain) - Static method in class edu.stanford.nlp.pipeline.CustomAnnotationSerializer
Serializes one coref cluster (i.e., one entity)
saveCounter(Counter<E>, OutputStream) - Static method in class edu.stanford.nlp.stats.Counters
Saves a Counter as one key/count pair per line separated by white space to the given OutputStream.
saveCounter(Counter<E>, String) - Static method in class edu.stanford.nlp.stats.Counters
Saves a Counter to a text file.
saveDoubleArr(DataOutputStream, double[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
SavedState() - Constructor for class edu.stanford.nlp.classify.CrossValidator.SavedState
 
saveFeatureIndexToDisk - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
saveFloatArr(DataOutputStream, float[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
saveIndex(String) - Method in class edu.stanford.nlp.patterns.surface.InvertedIndexByTokens
 
saveIndex(String) - Method in class edu.stanford.nlp.patterns.surface.SentenceIndex
 
saveIntermediate - Variable in class edu.stanford.nlp.parser.nndep.Config
Save an intermediate model file whenever we see an improved UAS evaluation.
saveIntermediateModels - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
Saves intermediate models, but that takes up a lot of space
saveInvertedIndex - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
You can save the inverted index.
saveModel(String) - Method in class edu.stanford.nlp.parser.dvparser.DVParser
 
saveModel(String) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
saveModel(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
saveModel(DataOutputStream) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
saveOutput - Variable in class edu.stanford.nlp.optimization.CmdEvaluator
 
saveParserToSerialized(String) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Saves the parser defined by pd to the given filename.
saveParserToTextFile(String) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Saves the parser defined by pd to the given filename.
savePatternIndex(ConcurrentHashIndex<SurfacePattern>, String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
 
savePatternIndex(ConcurrentHashIndex<SurfacePattern>, String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
savePatternIndex(ConcurrentHashIndex<SurfacePattern>, String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
 
saveProcessedData(List, String) - Static method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
saveSerialized(String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
 
saveToFilename(String) - Method in class edu.stanford.nlp.classify.LinearClassifier
Saves this out to a standard text file, instead of as a serialized Java object.
saveToFilename(String) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
saveToFilename(String) - Method in class edu.stanford.nlp.util.DeltaIndex
 
saveToFilename(String) - Method in class edu.stanford.nlp.util.HashIndex
 
saveToFilename(String) - Method in interface edu.stanford.nlp.util.Index
Save the contents of this index into a file.
saveToWriter(Writer) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
saveToWriter(Writer) - Method in class edu.stanford.nlp.util.DeltaIndex
 
saveToWriter(Writer) - Method in class edu.stanford.nlp.util.HashIndex
This saves the contents of this index into string form, as part of a larger text-serialization.
saveToWriter(Writer) - Method in interface edu.stanford.nlp.util.Index
Save the contents of this index into string form, as part of a larger text-serialization.
saveTrees(Collection<Tree>, double, Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
SAXInterface() - Constructor for class edu.stanford.nlp.process.TransformXML.SAXInterface
 
say(String) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
say(String) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
say(String) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
sayln(String) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
sayln(String) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
sayln(String) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
scale(double) - Method in class edu.stanford.nlp.neural.SimpleTensor
Returns a new tensor which has the values of the original tensor scaled by scaling.
scale(C, double) - Static method in class edu.stanford.nlp.stats.Counters
Returns a new Counter which is scaled by the given scale factor.
scale(TwoDimensionalCounter<T1, T2>, double) - Static method in class edu.stanford.nlp.stats.Counters
Creates a new TwoDimensionalCounter where all the counts are scaled by d.
scaleDataset(RVFDataset<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
Scales the values of each feature in each linearly using the min and max values found in the training set.
scaleDatasetGaussian(RVFDataset<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
 
scaleDatum(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
Scales the values of each feature linearly using the min and max values found in the training set.
scaleDatumGaussian(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
 
scaledSGDMethod - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
ScaledSGDMinimizer<Q extends AbstractStochasticCachingDiffFunction> - Class in edu.stanford.nlp.optimization
Stochastic Gradient Descent To Quasi Newton Minimizer.
ScaledSGDMinimizer(double, int, int) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
ScaledSGDMinimizer(double, int, int, int) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
ScaledSGDMinimizer(double, int, int, int, boolean) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
ScaledSGDMinimizer(double, int) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
ScaledSGDMinimizer.Weights - Class in edu.stanford.nlp.optimization
 
scaleFeatures() - Method in class edu.stanford.nlp.classify.RVFDataset
Scales feature values linearly such that each feature value lies between 0 and 1.
scaleFeaturesGaussian() - Method in class edu.stanford.nlp.classify.RVFDataset
 
scaleOpt - Variable in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
scaleUp - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
scaleUp(boolean) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
scaleWeights(double) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Scales the weights of this CRFClassifier by the specified weight.
scalingForInit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
How much to scale certain parameters when initializing models.
scalingForInit - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
 
score() - Method in class edu.stanford.nlp.fsm.DFSA
 
score - Variable in class edu.stanford.nlp.fsm.DFSAState
 
score() - Method in class edu.stanford.nlp.fsm.DFSAState
 
score() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
score() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
score() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
score(Tree) - Method in class edu.stanford.nlp.parser.dvparser.DVModelReranker.Query
 
score(Tree, IdentityHashMap<Tree, SimpleMatrix>) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
 
score(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
score(int, int, int, int, boolean, int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
score(IntTaggedWord, int, double, double, double, String) - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
 
score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Get the score of this word with this tag (as an IntTaggedWord) at this location.
score(IntTaggedWord, int, double, double, double, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
Currently we don't consider loc or the other parameters in determining score in the default implementation; only English uses them.
score(IntTaggedWord, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
score - Variable in class edu.stanford.nlp.parser.lexparser.BinaryRule
Score should be a log probability
score() - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
 
score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexicon
 
score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
score(IntTaggedWord, String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModel
 
score(IntDependency) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
Score a IntDependency according to the grammar.
score(int, int, int, int, boolean, int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
Score a dependency according to the grammar, where the elements of the dependency are represented in separate paramters.
score(IntTaggedWord, int, double, double, double, String) - Method in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
 
score(IntTaggedWord, int, String, String) - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
 
score(IntTaggedWord, int, double, double, double, String) - Method in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel
 
score(IntTaggedWord, String) - Method in class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModel
Calculate the log-prob score of a particular TaggedWord in the unknown word model.
score() - Method in class edu.stanford.nlp.parser.lexparser.Item
 
score(IntTaggedWord, int, String, String) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Get the score of this word with this tag (as an IntTaggedWord) at this loc.
score(Tree) - Method in interface edu.stanford.nlp.parser.lexparser.RerankerQuery
 
score() - Method in interface edu.stanford.nlp.parser.lexparser.Rule
 
score(IntTaggedWord, int, double, double, double, String) - Method in class edu.stanford.nlp.parser.lexparser.SpanishUnknownWordModel
 
score - Variable in class edu.stanford.nlp.parser.lexparser.UnaryRule
Score should be a log probability
score() - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
 
score(IntTaggedWord, int, double, double, double, String) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
Get the score of this word with this tag (as an IntTaggedWord) at this loc.
score() - Method in class edu.stanford.nlp.parser.shiftreduce.State
 
score(float[]) - Method in class edu.stanford.nlp.parser.shiftreduce.Weight
 
score - Variable in class edu.stanford.nlp.semgraph.semgrex.Alignment
 
score(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.stats.AccuracyStats
 
score(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
score() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
score(Classifier<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
score(List<L>, List<L>, Index<L>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
Returns the score (F1) for the given list of guesses
score(List<L>, List<L>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
Returns the score (F1) for the given list of guesses
score() - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
score(String, String) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
score(String, String, String) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
score(BufferedReader, String) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
score(BufferedReader, String, String) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
score(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
score(Classifier<L, F>, GeneralDataset<L, F>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
 
score(ProbabilisticClassifier<L, F>, GeneralDataset<L, F>) - Method in interface edu.stanford.nlp.stats.Scorer
 
score() - Method in class edu.stanford.nlp.trees.Constituent
access score
score() - Method in class edu.stanford.nlp.trees.LabeledScoredConstituent
Returns the score associated with the current node, or Nan if there is no score
score() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Returns the score associated with the current node, or Nan if there is no score
score() - Method in class edu.stanford.nlp.trees.Tree
Returns the score associated with the current node, or NaN if there is no score.
score - Variable in class edu.stanford.nlp.util.EditDistance
 
score(Object[], Object[]) - Method in class edu.stanford.nlp.util.EditDistance
 
score(String, String) - Method in class edu.stanford.nlp.util.EditDistance
 
score() - Method in interface edu.stanford.nlp.util.Scored
 
score() - Method in class edu.stanford.nlp.util.ScoredObject
 
SCORE_COMPARATOR - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
SCORE_FILE_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
SCORE_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
scoreAll(Collection<IntDependency>) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
scoreBinarizedTree(Tree, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
Scored - Interface in edu.stanford.nlp.util
Scored: This is a simple interface that says that an object can answer requests for the score, or goodness of the object.
ScoredComparator - Class in edu.stanford.nlp.util
ScoredComparator allows one to compare Scored things.
scoreDependencies() - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
ScoredObject<T> - Class in edu.stanford.nlp.util
Wrapper class for holding a scored object.
ScoredObject(T, double) - Constructor for class edu.stanford.nlp.util.ScoredObject
 
ScoreEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
 
scoreGT(String) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
scoreNonBinarizedTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
scoreOf(Datum<L, F>, L) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns of the score of the Datum for the specified label.
scoreOf(RVFDatum<L, F>, L) - Method in class edu.stanford.nlp.classify.LinearClassifier
Deprecated.
scoreOf(Collection<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
scoreOf(Counter<F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
scoreOf(int[], int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
scoreOf(int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
Returns the log probability of this sequence given the CRF.
scoreOf(int[], int) - Method in class edu.stanford.nlp.ie.crf.TestSequenceModel
Return the score of the proposed tags for position given.
scoreOf(int[]) - Method in class edu.stanford.nlp.ie.crf.TestSequenceModel
 
scoreOf(int[]) - Method in class edu.stanford.nlp.ie.EmpiricalNERPriorBIO
 
scoreOf(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
scoreOf(int[], int) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
Computes the score of the element at the given position in the sequence, conditioned on the values of the elements in all other positions of the provided sequence.
scoreOf(int[]) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
Computes the score assigned by this model to the whole sequence.
scoreOf(int[]) - Method in interface edu.stanford.nlp.sequences.SequenceModel
Computes the score assigned by this model to the whole sequence.
scoreOf(int[], int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
Computes the score of the element at the given position in the sequence, conditioned on the values of the elements in all other positions of the provided sequence.
scoreOf(int[], int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
scoreOf(int[]) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
ScorePatterns - Class in edu.stanford.nlp.patterns.surface
 
ScorePatterns(ConstantsAndVariables, GetPatternsFromDataMultiClass.PatternScoring, String, Set<String>, TwoDimensionalCounter<Integer, String>, TwoDimensionalCounter<Integer, String>, TwoDimensionalCounter<Integer, String>, Properties) - Constructor for class edu.stanford.nlp.patterns.surface.ScorePatterns
 
ScorePatternsF1 - Class in edu.stanford.nlp.patterns.surface
Used if patternScoring flag is set to F1 with the seed pattern.
ScorePatternsF1(ConstantsAndVariables, GetPatternsFromDataMultiClass.PatternScoring, String, Set<String>, TwoDimensionalCounter<Integer, String>, TwoDimensionalCounter<Integer, String>, TwoDimensionalCounter<Integer, String>, Properties, Counter<String>, Integer) - Constructor for class edu.stanford.nlp.patterns.surface.ScorePatternsF1
 
ScorePatternsFreqBased - Class in edu.stanford.nlp.patterns.surface
 
ScorePatternsFreqBased(ConstantsAndVariables, GetPatternsFromDataMultiClass.PatternScoring, String, Set<String>, TwoDimensionalCounter<Integer, String>, TwoDimensionalCounter<Integer, String>, TwoDimensionalCounter<Integer, String>, Properties) - Constructor for class edu.stanford.nlp.patterns.surface.ScorePatternsFreqBased
 
ScorePatternsRatioModifiedFreq - Class in edu.stanford.nlp.patterns.surface
 
ScorePatternsRatioModifiedFreq(ConstantsAndVariables, GetPatternsFromDataMultiClass.PatternScoring, String, Set<String>, TwoDimensionalCounter<Integer, String>, TwoDimensionalCounter<Integer, String>, TwoDimensionalCounter<Integer, String>, TwoDimensionalCounter<String, ConstantsAndVariables.ScorePhraseMeasures>, ScorePhrases, Properties) - Constructor for class edu.stanford.nlp.patterns.surface.ScorePatternsRatioModifiedFreq
 
scorePhrases - Variable in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
scorePhrases(String, Set<String>, boolean) - Method in class edu.stanford.nlp.patterns.surface.PhraseScorer
 
ScorePhrases - Class in edu.stanford.nlp.patterns.surface
 
ScorePhrases(Properties, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.surface.ScorePhrases
 
scorePhrases(String, TwoDimensionalCounter<String, Integer>, TwoDimensionalCounter<String, Integer>, Counter<Integer>, Set<String>, boolean) - Method in class edu.stanford.nlp.patterns.surface.ScorePhrasesAverageFeatures
 
scorePhrases(String, Set<String>, boolean) - Method in class edu.stanford.nlp.patterns.surface.ScorePhrasesAverageFeatures
 
ScorePhrasesAverageFeatures - Class in edu.stanford.nlp.patterns.surface
Score phrases by averaging scores of individual features.
ScorePhrasesAverageFeatures(ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.surface.ScorePhrasesAverageFeatures
 
scoreProbTagGivenWordSignature(IntTaggedWord, int, double, String) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
Calculate P(Tag|Signature) with Bayesian smoothing via just P(Tag|Unknown)
scoreProbTagGivenWordSignature(IntTaggedWord, int, double, String) - Method in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
Calculate P(Tag|Signature) with Bayesian smoothing via just P(Tag|Unknown)
scoreProbTagGivenWordSignature(IntTaggedWord, int, double, String) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
Calculate P(Tag|Signature) with Bayesian smoothing via just P(Tag|Unknown)
SCORER - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
scorer - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
Scorer - Interface in edu.stanford.nlp.parser.lexparser
Interface for supporting A* scoring.
Scorer<L> - Interface in edu.stanford.nlp.stats
 
ScorerBCubed - Class in edu.stanford.nlp.dcoref
B^3 scorer
ScorerBCubed(ScorerBCubed.BCubedType) - Constructor for class edu.stanford.nlp.dcoref.ScorerBCubed
 
ScorerBCubed.BCubedType - Enum in edu.stanford.nlp.dcoref
 
ScorerMUC - Class in edu.stanford.nlp.dcoref
 
ScorerMUC() - Constructor for class edu.stanford.nlp.dcoref.ScorerMUC
 
ScorerPairwise - Class in edu.stanford.nlp.dcoref
 
ScorerPairwise() - Constructor for class edu.stanford.nlp.dcoref.ScorerPairwise
 
scoreRule(BinaryRule) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
 
scoreRule(UnaryRule) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
scoresOf(Datum<L, F>) - Method in interface edu.stanford.nlp.classify.Classifier
 
scoresOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Construct a counter with keys the labels of the classifier and values the score (unnormalized log probability) of each class.
scoresOf(int[]) - Method in class edu.stanford.nlp.classify.LinearClassifier
Given a datum's features, construct a counter with keys the labels and values the score (unnormalized log probability) for each class.
scoresOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Deprecated.
scoresOf(Datum<L, F>, Collection<L>) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
scoresOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
returns the scores for both the classes
scoresOf(RVFDatum<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
scoresOf(RVFDatum<L, F>) - Method in interface edu.stanford.nlp.classify.RVFClassifier
 
scoresOf(int[], int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
Computes the unnormalized log conditional distribution over values of the element at position pos in the sequence, conditioned on the values of the elements in all other positions of the provided sequence.
scoresOf(int[], int) - Method in class edu.stanford.nlp.ie.crf.TestSequenceModel
 
scoresOf(int[], int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
scoresOf(List<IN>, int) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
scoresOf(int[], int) - Method in class edu.stanford.nlp.sequences.FactoredSequenceModel
Computes the scores of labels for the element at the given position in the sequence, conditioned on the values of the labels at all other positions of the provided sequence.
scoresOf(int[], int) - Method in interface edu.stanford.nlp.sequences.SequenceModel
Computes the scores of labels for the element at the given position in the sequence, conditioned on the values of the labels at all other positions of the provided sequence.
scoresOf(int[], int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
scoreTB(int, int, int, int, boolean, int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
scoreTB(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
 
scoreTB(IntDependency) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
Score an IntDependency in the reduced tagBin space according to the grammar.
scoreTB(int, int, int, int, boolean, int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
Score a dependency according to the grammar, where the elements of the dependency are represented in separate paramters.
scoreTB(IntDependency) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Score a tag binned dependency.
ScrollableTreeJPanel - Class in edu.stanford.nlp.trees.tregex.gui
Component for displaying a tree in a JPanel that works correctly with scrolling.
ScrollableTreeJPanel() - Constructor for class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
ScrollableTreeJPanel(int, int) - Constructor for class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
SEARCH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
searchAndReplace(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
 
searchGraphPrefix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
searchGraphPrune - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
second - Variable in class edu.stanford.nlp.time.SUTime.IsoTime
 
SECOND - Static variable in class edu.stanford.nlp.time.SUTime
 
second - Variable in class edu.stanford.nlp.util.Pair
Direct access is deprecated.
second() - Method in class edu.stanford.nlp.util.Pair
 
second - Variable in class edu.stanford.nlp.util.Quadruple
 
second() - Method in class edu.stanford.nlp.util.Quadruple
 
second - Variable in class edu.stanford.nlp.util.Triple
 
second() - Method in class edu.stanford.nlp.util.Triple
 
secondKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
secondKeySet() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
secondKeySet() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
secondKeySet() - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
secondKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
 
secondKeySet() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
secondKeySet(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalSet
 
secondOrderNonLinear - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
secondPersonPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
SectionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionAnnotation
 
SectionDateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionDateAnnotation
 
SectionEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionEndAnnotation
 
SectionIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionIDAnnotation
 
SectionStartAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SectionStartAnnotation
 
SeedLabeledOrNot() - Constructor for class edu.stanford.nlp.patterns.surface.PatternsAnnotations.SeedLabeledOrNot
 
seenCounter - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Records the number of times word/tag pair was seen in training data.
segMarker - Static variable in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
 
segment(String) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
 
segment(BufferedReader, PrintWriter) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
Segment all strings from an input.
segment(K...) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Segment a sequence into sequence of sub-sequences by attempting to find the longest non-overlapping sub-sequences.
segment(List<K>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Segment a sequence into sequence of sub-sequences by attempting to find the longest non-overlapping sub-sequences.
segment(List<K>, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Segment a sequence into sequence of sub-sequences by attempting to find the longest non-overlapping sub-sequences.
segment(List<K>, int, int, Comparator<? super Match<K, V>>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Segment a sequence into sequence of sub-sequences by attempting to find the non-overlapping sub-sequences that comes earlier using the compareFunc.
segment(List<K>, int, int, Function<? super Match<K, V>, Double>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
Segment a sequence into sequence of sub-sequences by attempting to maximize the total score Non-matched parts will be included as a match with a null value.
segment(List<K>, Function<? super Match<K, V>, Double>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
 
segment(String) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
segment - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
segment(String) - Method in interface edu.stanford.nlp.process.WordSegmenter
 
segmentationMarker - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
segmenterClass - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
segmentMarkov - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
segmentString(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
ONLY USE IF LOADED A CHINESE WORD SEGMENTER!!!!!
segmentString(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
segmentString(String) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
 
selectFeatures(int, double[]) - Method in class edu.stanford.nlp.classify.Dataset
Generic method to select features based on the feature scores vector provided as an argument.
selectFeaturesBinaryInformationGain(int) - Method in class edu.stanford.nlp.classify.Dataset
 
selectFeaturesFromSet(Set<F>) - Method in class edu.stanford.nlp.classify.RVFDataset
Removes all features from the dataset that are not in featureSet.
selectivePostSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
selectivePostSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
selectiveSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Only split the "common high KL divergence" parent categories....
selectiveSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
selectNextMatch() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
 
selectPreviousMatch() - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
 
selfRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
selfTest - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
selfTrainConfidenceThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
selfTrainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
selfTrainIterations - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
selfTrainWindowSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
SEMANTIC_DEPENDENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "semantic dependent" grammatical relation has been introduced as a supertype for the controlling subject relation.
SemanticGraph - Class in edu.stanford.nlp.semgraph
Represents a semantic graph of a sentence or document, with IndexedWord objects for nodes.
SemanticGraph() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph
 
SemanticGraph(SemanticGraph) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph
Returns a new SemanticGraph which is a copy of the supplied SemanticGraph.
SemanticGraph(SemanticGraph, Map<IndexedWord, IndexedWord>) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph
Copies a the current graph, but also sets the mapping from the old to new graph.
SemanticGraph(Collection<TypedDependency>) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraph
This is the constructor used by the parser.
SemanticGraph.OutputFormat - Enum in edu.stanford.nlp.semgraph
 
SemanticGraphCoreAnnotations - Class in edu.stanford.nlp.semgraph
This class collects CoreAnnotations that are used in working with a SemanticGraph.
SemanticGraphCoreAnnotations() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations
 
SemanticGraphCoreAnnotations.BasicDependenciesAnnotation - Class in edu.stanford.nlp.semgraph
The CoreMap key for getting the syntactic dependencies of a sentence.
SemanticGraphCoreAnnotations.CollapsedCCProcessedDependenciesAnnotation - Class in edu.stanford.nlp.semgraph
The CoreMap key for getting the syntactic dependencies of a sentence.
SemanticGraphCoreAnnotations.CollapsedDependenciesAnnotation - Class in edu.stanford.nlp.semgraph
The CoreMap key for getting the syntactic dependencies of a sentence.
SemanticGraphEdge - Class in edu.stanford.nlp.semgraph
Represents an edge in the dependency graph.
SemanticGraphEdge(IndexedWord, IndexedWord, GrammaticalRelation, double, boolean) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
SemanticGraphEdge(SemanticGraphEdge) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
SemanticGraphFactory - Class in edu.stanford.nlp.semgraph
Refactoring of static makers of SemanticGraphs in order to simplify the SemanticGraph class.
SemanticGraphFactory.Mode - Enum in edu.stanford.nlp.semgraph
 
SemanticGraphFormatter - Class in edu.stanford.nlp.semgraph
Defines a class for pretty-printing SemanticGraphs.
SemanticGraphFormatter() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphFormatter
 
SemanticGraphFormatter(int, int, boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphFormatter
 
SemanticHeadFinder - Class in edu.stanford.nlp.trees
Implements a 'semantic head' variant of the the HeadFinder found in Michael Collins' 1999 thesis.
SemanticHeadFinder() - Constructor for class edu.stanford.nlp.trees.SemanticHeadFinder
 
SemanticHeadFinder(boolean) - Constructor for class edu.stanford.nlp.trees.SemanticHeadFinder
 
SemanticHeadFinder(TreebankLanguagePack, boolean) - Constructor for class edu.stanford.nlp.trees.SemanticHeadFinder
Create a SemanticHeadFinder.
SemanticHeadTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadTagAnnotation
 
SemanticHeadWordAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticHeadWordAnnotation
 
semantics - Variable in class edu.stanford.nlp.dcoref.MentionExtractor
 
Semantics - Class in edu.stanford.nlp.dcoref
Semantic knowledge: currently WordNet is available
Semantics() - Constructor for class edu.stanford.nlp.dcoref.Semantics
 
Semantics(Dictionaries) - Constructor for class edu.stanford.nlp.dcoref.Semantics
 
semantics() - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
SemanticTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticTagAnnotation
 
SemanticWordAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SemanticWordAnnotation
 
SemgrexMatcher - Class in edu.stanford.nlp.semgraph.semgrex
A SemgrexMatcher can be used to match a SemgrexPattern against a SemanticGraph.
SemgrexParseException - Exception in edu.stanford.nlp.semgraph.semgrex
A runtime exception that indicates something went wrong parsing a semgrex expression.
SemgrexParseException(String, Throwable) - Constructor for exception edu.stanford.nlp.semgraph.semgrex.SemgrexParseException
 
SemgrexPattern - Class in edu.stanford.nlp.semgraph.semgrex
A SemgrexPattern is a tgrep-type pattern for matching node configurations in one of the SemanticGraph structures.
SemiSupervisedLogConditionalObjectiveFunction - Class in edu.stanford.nlp.classify
Maximizes the conditional likelihood with a given prior.
SemiSupervisedLogConditionalObjectiveFunction(AbstractCachingDiffFunction, AbstractCachingDiffFunction, LogPrior, double) - Constructor for class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
 
SemiSupervisedLogConditionalObjectiveFunction(AbstractCachingDiffFunction, AbstractCachingDiffFunction, LogPrior) - Constructor for class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
 
sendQuit() - Method in class edu.stanford.nlp.parser.server.LexicalizedParserClient
Tell the server to exit
sent - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
sentence - Variable in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
Sentence that contains this object This assumes that each extraction object is intra-sentential (true in ACE, Roth, BioNLP, MR)
Sentence - Class in edu.stanford.nlp.ling
Sentence holds a couple utility methods for lists.
sentence - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
SentenceAnnotator - Class in edu.stanford.nlp.pipeline
A parent class for annotators which might want to analyze one sentence at a time, possibly in a multithreaded manner.
SentenceAnnotator() - Constructor for class edu.stanford.nlp.pipeline.SentenceAnnotator
 
SentenceAnnotator.AnnotatorProcessor - Class in edu.stanford.nlp.pipeline
 
sentenceContextIncompatible(Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.dcoref.Rules
 
sentenceCount(CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
sentenceDeepMentionCopy(Annotation) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
Deep copy of the sentence: we create new entity/relation/event lists here.
sentenceDelimiter - Variable in class edu.stanford.nlp.parser.nndep.Config
If non-null, when parsing raw text assume sentences have already been split and are separated by the given delimiter.
sentenceEntityMentionsToCoreLabels(CoreMap, boolean, Set<String>, Set<String>, boolean, boolean) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
Converts the labels of all entity mentions in this sentence to sequences of CoreLabels
sentenceFinalPunctuationTagAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a filter that accepts a String that is a sentence end punctuation tag, and rejects everything else.
sentenceFinalPunctuationTagAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a filter that accepts a String that is a sentence end punctuation tag, and rejects everything else.
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a String array of sentence final punctuation tags for this treebank/language.
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
Returns a String array of sentence final punctuation tags for this treebank/language.
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
Returns a String array of sentence final punctuation tags for this treebank/language.
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Returns a String array of sentence final punctuation tags for this treebank/language.
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
Returns a String array of sentence final punctuation tags for this treebank/language.
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
Returns a String array of sentence final punctuation tags for this treebank/language.
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
 
sentenceFinalPunctuationTags() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Returns a String array of sentence final punctuation tags for this treebank/language.
sentenceFinalPunctuationTags() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a String array of sentence final punctuation tags for this treebank/language.
sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
Returns a String array of sentence final punctuation words for this treebank/language.
sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
Returns a String array of sentence final punctuation words for this treebank/language.
sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Returns a String array of sentence final punctuation words for this treebank/language.
sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
Returns a String array of sentence final punctuation words for this treebank/language.
sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
Returns a String array of sentence final punctuation words for this treebank/language.
sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
 
sentenceFinalPunctuationWords() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Returns a String array of sentence final punctuation words for this treebank/language.
sentenceFinalPunctuationWords() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a String array of sentence final punctuation words for this treebank/language.
SentenceIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceIDAnnotation
 
SentenceIndex - Class in edu.stanford.nlp.patterns.surface
Created by sonalg on 10/15/14.
SentenceIndex(Set<String>, Function<CoreLabel, Map<String, String>>) - Constructor for class edu.stanford.nlp.patterns.surface.SentenceIndex
 
SentenceIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentenceIndexAnnotation
 
SentencePositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentencePositionAnnotation
 
SentencesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation
 
sentenceSplit(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.AnnotatorFactories
 
sentencesToDocument(String, String, List<CoreMap>) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
sentenceToString(CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
sentenceWords - Variable in class edu.stanford.nlp.dcoref.Mention
 
sentId2File - Static variable in class edu.stanford.nlp.patterns.surface.Data
 
sentiment(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.AnnotatorFactories
 
sentiment(Properties, String) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
Annotate for sentiment in sentences
SentimentAnnotator - Class in edu.stanford.nlp.pipeline
This annotator attaches a binarized tree with sentiment annotations to each sentence.
SentimentAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.SentimentAnnotator
 
SentimentCoreAnnotations - Class in edu.stanford.nlp.sentiment
Annotations specific to the Sentiment project.
SentimentCoreAnnotations() - Constructor for class edu.stanford.nlp.sentiment.SentimentCoreAnnotations
 
SentimentCoreAnnotations.AnnotatedTree - Class in edu.stanford.nlp.sentiment
A tree which contains the annotations used for the Sentiment task.
SentimentCoreAnnotations.ClassName - Class in edu.stanford.nlp.sentiment
The final label given for a sentence.
SentimentCostAndGradient - Class in edu.stanford.nlp.sentiment
 
SentimentCostAndGradient(SentimentModel, List<Tree>) - Constructor for class edu.stanford.nlp.sentiment.SentimentCostAndGradient
 
SentimentModel - Class in edu.stanford.nlp.sentiment
 
SentimentModel(RNNOptions, List<Tree>) - Constructor for class edu.stanford.nlp.sentiment.SentimentModel
The traditional way of initializing an empty model suitable for training.
SentimentPipeline - Class in edu.stanford.nlp.sentiment
A wrapper class which creates a suitable pipeline for the sentiment model and processes raw text.
SentimentPipeline() - Constructor for class edu.stanford.nlp.sentiment.SentimentPipeline
 
sentimentString(SentimentModel, int) - Static method in class edu.stanford.nlp.sentiment.SentimentUtils
 
SentimentTraining - Class in edu.stanford.nlp.sentiment
 
SentimentTraining() - Constructor for class edu.stanford.nlp.sentiment.SentimentTraining
 
SentimentUtils - Class in edu.stanford.nlp.sentiment
In the Sentiment dataset converted to tree form, the labels on the intermediate nodes are the sentiment scores and the leaves are the text of the sentence.
sentIndex() - Method in class edu.stanford.nlp.ling.CoreLabel
sentIndex() - Method in interface edu.stanford.nlp.ling.HasIndex
 
sentIndex() - Method in class edu.stanford.nlp.ling.IndexedWord
 
sentNum - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
Sentence number in the document containing this mention, indexed from 1.
sentNum - Variable in class edu.stanford.nlp.dcoref.Mention
 
sents - Static variable in class edu.stanford.nlp.patterns.surface.Data
 
sentsFiles - Static variable in class edu.stanford.nlp.patterns.surface.Data
 
separateASCIIandRange - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
separateLopExpertWeights(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
 
separateLopExpertWeights2D(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
 
separateLopScales(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
 
separatePronouns(String) - Method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
Attempt to separate attached pronouns from the given verb.
separateWeights(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
separateWeights(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
 
SEPARATOR - Static variable in class edu.stanford.nlp.parser.nndep.Config
For printing messages.
SEPTEMBER - Static variable in class edu.stanford.nlp.time.SUTime
 
SEQ_BEGIN_PATTERN_EXPR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
SEQ_END_PATTERN_EXPR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
SeqBackRef(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
SeqClassifierFlags - Class in edu.stanford.nlp.sequences
Flags for sequence classifiers.
SeqClassifierFlags() - Constructor for class edu.stanford.nlp.sequences.SeqClassifierFlags
 
SeqClassifierFlags(Properties) - Constructor for class edu.stanford.nlp.sequences.SeqClassifierFlags
Create a new SeqClassifierFlags object and initialize it using values in the Properties object.
SeqRegex(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
SeqRegexBasic(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
SeqRegexDisj(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
SeqRegexDisjConj(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
SeqRegexGroup(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
SeqRegexRepeatTimes(Env, SequencePattern.PatternExpr) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
SeqRegexWithAction(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
sequence - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
SequenceEndPatternExpr() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequenceEndPatternExpr
 
SequenceGibbsSampler - Class in edu.stanford.nlp.sequences
A Gibbs sampler for sequence models.
SequenceGibbsSampler(int, int, SequenceListener, List, boolean, int, int, List<List<Integer>>, int, EmpiricalNERPriorBIO, EmpiricalNERPriorBIO) - Constructor for class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
SequenceGibbsSampler(int, int, SequenceListener, List) - Constructor for class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
SequenceGibbsSampler(int, int, SequenceListener) - Constructor for class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
SequenceGibbsSampler(int, int, SequenceListener, int, int, List<List<Integer>>, int, EmpiricalNERPriorBIO, EmpiricalNERPriorBIO) - Constructor for class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
SequenceListener - Interface in edu.stanford.nlp.sequences
A class capable of listening to changes about a sequence, represented as an array of type int.
SequenceMatchAction<T> - Interface in edu.stanford.nlp.ling.tokensregex
Performs action on a sequence
SequenceMatchAction.BoundAction<T> - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchAction.BranchAction<T> - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchAction.NextMatchAction<T> - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchAction.SeriesAction<T> - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchAction.StartMatchAction<T> - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchedExpressionExtractor(MatchedExpression.SingleAnnotationExtractor, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchedExpressionExtractor
 
SequenceMatcher<T> - Class in edu.stanford.nlp.ling.tokensregex
Generic sequence matcher
SequenceMatcher(SequencePattern<T>, List<? extends T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
SequenceMatcher.BasicMatchReplacement<T> - Class in edu.stanford.nlp.ling.tokensregex
Replacement item is a sequence of items
SequenceMatcher.FindType - Enum in edu.stanford.nlp.ling.tokensregex
Type of search to perform FIND_NONOVERLAPPING - Find nonoverlapping matches (default) FIND_ALL - Find all potential matches Greedy/reluctant quantifiers are not enforced (perhaps should add syntax where some of them are enforced...)
SequenceMatcher.GroupMatchReplacement<T> - Class in edu.stanford.nlp.ling.tokensregex
Replacement item is a matched group specified with a group id
SequenceMatcher.MatchReplacement<T> - Interface in edu.stanford.nlp.ling.tokensregex
Interface that specifies what to replace a matched pattern with
SequenceMatcher.NamedGroupMatchReplacement<T> - Class in edu.stanford.nlp.ling.tokensregex
Replacement item is a matched group specified with a group name
SequenceMatchResult<T> - Interface in edu.stanford.nlp.ling.tokensregex
The result of a match against a sequence.
SequenceMatchResult.GroupToIntervalFunc<MR extends MatchResult> - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchResult.MatchedGroupInfo<T> - Class in edu.stanford.nlp.ling.tokensregex
Information about a matched group
sequenceMatchResultExtractor - Variable in class edu.stanford.nlp.ling.tokensregex.Env
 
SequenceMatchResultExtractor(Env, Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchResultExtractor
 
SequenceMatchResultExtractor(Env, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequenceMatchResultExtractor
 
SequenceMatchRules - Class in edu.stanford.nlp.ling.tokensregex
Rules for matching sequences using regular expressions
SequenceMatchRules() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
SequenceMatchRules.AnnotationExtractRule<S,T extends MatchedExpression> - Class in edu.stanford.nlp.ling.tokensregex
Rule that specifies how to extract sequence of MatchedExpression from an annotation (CoreMap).
SequenceMatchRules.AnnotationExtractRuleCreator - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchRules.AnnotationMatchedFilter - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchRules.AssignmentRule - Class in edu.stanford.nlp.ling.tokensregex
Rule that specifies what value to assign to a variable
SequenceMatchRules.BasicSequenceExtractRule - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchRules.CompositeExtractRuleCreator - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchRules.CoreMapExtractRule<T,O> - Class in edu.stanford.nlp.ling.tokensregex
Extraction rule to apply a extraction rule on a particular CoreMap field
SequenceMatchRules.CoreMapFunctionApplier<T,O> - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchRules.CoreMapToListExtractRule<O> - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchRules.CoreMapToListFunctionApplier<O> - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchRules.ExtractRule<I,O> - Interface in edu.stanford.nlp.ling.tokensregex
Interface for a rule that extracts a list of matched items from a input
SequenceMatchRules.FilterExtractRule<I,O> - Class in edu.stanford.nlp.ling.tokensregex
Extraction rule that filters the input before passing it on to the next extractor
SequenceMatchRules.ListExtractRule<I,O> - Class in edu.stanford.nlp.ling.tokensregex
Extraction rule that applies a list of rules in sequence and aggregates all matches found
SequenceMatchRules.Rule - Interface in edu.stanford.nlp.ling.tokensregex
A sequence match rule
SequenceMatchRules.SequenceMatchedExpressionExtractor - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchRules.SequenceMatchResultExtractor<T> - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchRules.SequencePatternExtractRule<T,O> - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchRules.StringMatchedExpressionExtractor - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchRules.StringMatchResultExtractor - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchRules.StringPatternExtractRule<O> - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchRules.TextPatternExtractRuleCreator - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceMatchRules.TokenPatternExtractRuleCreator - Class in edu.stanford.nlp.ling.tokensregex
 
SequenceModel - Interface in edu.stanford.nlp.sequences
Interface for scoring the labeling of sequences of a fixed length.
SequencePattern<T> - Class in edu.stanford.nlp.ling.tokensregex
Generic Sequence Pattern for regular expressions.
SequencePattern(SequencePattern.PatternExpr) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
SequencePattern(String, SequencePattern.PatternExpr) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
SequencePattern(String, SequencePattern.PatternExpr, SequenceMatchAction<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
SequencePattern.AndPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
 
SequencePattern.BackRefPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
 
SequencePattern.GroupPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
Expression that represents a group.
SequencePattern.MultiNodePatternExpr - Class in edu.stanford.nlp.ling.tokensregex
Represents a pattern that can match multiple nodes.
SequencePattern.NodePatternExpr - Class in edu.stanford.nlp.ling.tokensregex
Represents one element to be matched.
SequencePattern.NodesMatchChecker<T> - Interface in edu.stanford.nlp.ling.tokensregex
 
SequencePattern.OrPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
Expression that represents a disjunction.
SequencePattern.Parser<T> - Interface in edu.stanford.nlp.ling.tokensregex
 
SequencePattern.PatternExpr - Class in edu.stanford.nlp.ling.tokensregex
Represents a sequence pattern expressions (before translating into NFA).
SequencePattern.RepeatPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
Expression that represents a pattern that repeats for a number of times.
SequencePattern.SequenceEndPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
 
SequencePattern.SequencePatternExpr - Class in edu.stanford.nlp.ling.tokensregex
 
SequencePattern.SequenceStartPatternExpr - Class in edu.stanford.nlp.ling.tokensregex
 
SequencePattern.SpecialNodePatternExpr - Class in edu.stanford.nlp.ling.tokensregex
Represents one element to be matched.
SequencePattern.ValuePatternExpr - Class in edu.stanford.nlp.ling.tokensregex
 
SequencePatternExpr(List<SequencePattern.PatternExpr>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
 
SequencePatternExpr(SequencePattern.PatternExpr...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
 
SequencePatternExtractRule(Env, String, Function<SequenceMatchResult<T>, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
 
SequencePatternExtractRule(SequencePattern<T>, Function<SequenceMatchResult<T>, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
 
SequencePatternExtractRule(SequencePattern<T>, Function<SequenceMatchResult<T>, O>, SequenceMatcher.FindType, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.SequencePatternExtractRule
 
SequenceRegexPattern(SequencePattern<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.SequenceRegexPattern
 
SequenceSampler - Class in edu.stanford.nlp.sequences
This class will sample an output from a sequence model.
SequenceSampler() - Constructor for class edu.stanford.nlp.sequences.SequenceSampler
 
SequenceStartPatternExpr() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequenceStartPatternExpr
 
SeqVar(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
SerializableFunction<T1,T2> - Interface in edu.stanford.nlp.process
This interface is a conjunction of Function and Serializable, which is a bad idea from the perspective of the type system, but one that seems more palatable than other bad ideas until java's type system is flexible enough to support type conjunctions.
serializeClassifier(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Serialize a sequence classifier to a file on the given path.
serializeClassifier(String) - Method in class edu.stanford.nlp.ie.ClassifierCombiner
 
serializeClassifier(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Serialize a sequence classifier to a file on the given path.
serializeClassifier(ObjectOutputStream) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Serialize the classifier to the given ObjectOutputStream.
serializeClassifier(ObjectOutputStream) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
 
serializeClassifier(String) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
serializeClassifier(String) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
serializeClassifier(String) - Method in class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
 
serializeClassIndex(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
serializeClassIndexTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serializeCorpora - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
serializeCounter(Counter<T>, String) - Static method in class edu.stanford.nlp.stats.Counters
 
serializeDatasetsDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serializedAuxTrainingSentencesPath - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
serializedDictionary - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serializedEntityExtractionResults - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
serializedEntityExtractorPath - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
serializedEventExtractionResults - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
serializedEventExtractorPath - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
serializedModelExists(String) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
serializedRelationExtractionResults - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
serializedRelationExtractorPath - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
serializedTestSentencesPath - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
serializedTrainingSentencesPath - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
serializeFeatureIndex(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
serializeFeatureIndexTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serializeSegmenter(String) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
 
serializeTextClassifier(PrintWriter) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
serializeTextClassifier(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Serialize the model to a human readable format.
serializeTextClassifier(PrintWriter) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
 
serializeTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serializeToCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serializeToEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serializeToText - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serializeWeights(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
serializeWeights(String, double[]) - Static method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
serializeWeights(String, double[], double[]) - Static method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
serializeWeightsTo - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
serialVersionUID - Static variable in exception edu.stanford.nlp.ie.machinereading.domains.ace.reader.MatchException
 
SeriesAction(SequenceMatchAction<T>...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.SeriesAction
 
SeriesAction(List<SequenceMatchAction<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.SeriesAction
 
set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in class edu.stanford.nlp.ling.IndexedWord
 
set(String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
 
set(double, double) - Method in class edu.stanford.nlp.math.DoubleAD
 
set(double) - Method in class edu.stanford.nlp.neural.SimpleTensor
 
set(T1) - Method in interface edu.stanford.nlp.optimization.StochasticMinimizer.PropertySetter
 
set(String, Object) - Method in interface edu.stanford.nlp.pipeline.JSONOutputter.Writer
Set a (key, value) pair in a JSON object.
set(int, int, int) - Method in class edu.stanford.nlp.tagger.maxent.History
 
set(int, Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in class edu.stanford.nlp.util.ArrayCoreMap
Associates the given value with the given type for future calls to get.
set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in class edu.stanford.nlp.util.HashableCoreMap
Sets the value associated with the given key; if the the key is one of the hashable keys, throws an exception.
set(int, int) - Method in class edu.stanford.nlp.util.IntTuple
 
set(double) - Method in class edu.stanford.nlp.util.MutableDouble
 
set(int) - Method in class edu.stanford.nlp.util.MutableInteger
 
set(long) - Method in class edu.stanford.nlp.util.MutableLong
 
set(Class<? extends TypesafeMap.Key<VALUE>>, VALUE) - Method in interface edu.stanford.nlp.util.TypesafeMap
Associates the given value with the given type for future calls to get.
SET_ANNOTATION_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
SET_VALUE_TAG_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
setAccepting(boolean) - Method in class edu.stanford.nlp.fsm.DFSAState
 
setAction(SequenceMatchAction<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
setActive(boolean) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
 
setAfter(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the whitespace String after the word.
setAfter(String) - Method in interface edu.stanford.nlp.ling.HasContext
Set the whitespace String after the word.
setAltTag(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
 
setAmbClasses(AmbiguityClasses, int, TTags) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
This makes ambiguity classes from all words in the dictionary and remembers their classes in the TagCounts
setAnchor(AceCharSeq) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
 
setAnnotation(Annotation) - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
 
setAnnotationsToSkip(Set<String>) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
setArg(int, AceEntityMention, String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
 
setArgNames(List<String>) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
setArgs(List<ExtractionObject>) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
setArgs(List<ExtractionObject>) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
setAttr(String, String) - Method in class edu.stanford.nlp.parser.lexparser.LatticeEdge
 
SetAttrValue(Env, Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
SetAttrValues(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
setAuxReader(GenericDataSetReader) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
setBarePlural(List<Mention>) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
 
setBatchSize(int) - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
setBatchSize(int) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
setBatchSize(int) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
setBeamSize(int) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
 
setBefore(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the whitespace String before the word.
setBefore(String) - Method in interface edu.stanford.nlp.ling.HasContext
Set the whitespace String before the word.
setBeginPosition(int) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the beginning character offset for the label.
setBeginPosition(int) - Method in interface edu.stanford.nlp.ling.HasOffset
Set the beginning character offset for the label.
setBeginPosition(int) - Method in class edu.stanford.nlp.ling.IndexedWord
 
setBeginPosition(int) - Method in class edu.stanford.nlp.ling.StringLabel
 
setBiasWeight(String, double) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
 
setBiasWeight(int, double) - Method in class edu.stanford.nlp.ie.crf.CRFBiasedClassifier
 
setBinary() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
setBranchLimit(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
setC(double) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
Set the C parameter (for the slack variables) for training the SVM.
setCapacity(int) - Method in class edu.stanford.nlp.util.ArrayCoreMap
 
setCategory(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
 
setCategory(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the category value for the label (if one is stored).
setCategory(String) - Method in interface edu.stanford.nlp.ling.HasCategory
Set the category value for the label (if one is stored).
setCategoryWordTag(String, String, String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
 
setChild(SemgrexPattern) - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
 
setChild(SemgrexPattern) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
setChild(int, Tree) - Method in class edu.stanford.nlp.trees.Tree
Replaces the ith child of this with the tree t.
setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Sets the children of this Tree.
setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.SimpleTree
Sets the children of this Tree.
setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.Tree
Set the children of this node to be the children given in the array.
setChildren(List<? extends Tree>) - Method in class edu.stanford.nlp.trees.Tree
Set the children of this tree node to the given list.
setChildren(Tree[]) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Sets the children of this TreeGraphNode.
setChildren(List<? extends Tree>) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Set the children of this tree node to the given list.
setClass(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
 
setClosedClassTags(String[]) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
setColorChannels(boolean) - Method in class edu.stanford.nlp.util.logging.OutputHandler
 
setConsoleLevel(Level) - Static method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
setConstraints(List<ParserConstraint>) - Method in interface edu.stanford.nlp.parser.common.ParserQuery
 
setConstraints(List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParserQuery
 
setConstraints(List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.lexparser.RerankingParserQuery
 
setConstraints(List<ParserConstraint>) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
setCopyCount(int) - Method in class edu.stanford.nlp.ling.CoreLabel
 
setCopyCount(int) - Method in class edu.stanford.nlp.ling.IndexedWord
 
setCorefID(String) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
setCorrectTags(List<? extends HasTag>) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
setCount(E, double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Sets the count for the given key to be the given value.
setCount(E, double) - Method in interface edu.stanford.nlp.stats.Counter
Sets the count for the given key to be the given value.
setCount(E, int) - Method in class edu.stanford.nlp.stats.IntCounter
Sets the current count for the given key.
setCount(E, String) - Method in class edu.stanford.nlp.stats.IntCounter
 
setCount(E, double) - Method in class edu.stanford.nlp.stats.IntCounter
 
setCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
setCount(K1, K2, double) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
setCount(K1, K2, double) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
setCount(K1, K2, int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
setCounter(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
replace the counter for K1-index o by new counter c
setCounter(K1, IntCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
replace the counter for K1-index o by new counter c
setCounts(Collection<E>, int) - Method in class edu.stanford.nlp.stats.IntCounter
Sets the current count for each of the given keys.
setCreateUnrelatedRelations(boolean) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
setCurEncoding(String) - Static method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
setCustom(Object) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
 
setDatasets(Pair<Annotation, Annotation>[]) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
setDate(int, int, int) - Method in class edu.stanford.nlp.time.SUTime.IsoDate
 
setDay(int) - Method in class edu.stanford.nlp.time.SUTime.IsoDate
 
setDefaultColor(Color) - Method in class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel
 
setDefaultColor(Color) - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
setDefaultNegTag(String) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
setDefaultNestedResultsAnnotationKey(Class) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
setDefaultPosTag(String) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
setDefaultResultAnnotationKey(Class...) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
setDefaultResultAnnotationKey(List<Class>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
setDefaultResultsAnnotationExtractor(Function<MatchedExpression, ?>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
setDefaultReturnValue(double) - Method in class edu.stanford.nlp.stats.ClassicCounter
Sets the default return value.
setDefaultReturnValue(double) - Method in interface edu.stanford.nlp.stats.Counter
Sets the default return value.
setDefaultReturnValue(double) - Method in class edu.stanford.nlp.stats.IntCounter
 
setDefaultReturnValue(int) - Method in class edu.stanford.nlp.stats.IntCounter
 
setDefaults(Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
setDefaultStringMatchFlags(int) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
setDefaultStringPatternFlags(int) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
setDefaultTextAnnotationKey(Class) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
setDefaultTokensAggregators(Map<Class, CoreMapAttributeAggregator>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
setDefaultTokensAnnotationKey(Class) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
setDefaultTokensResultAnnotationKey(Class...) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
setDefaultTokensResultAnnotationKey(List<Class>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
setDeleteTempFilesOnExitFlag(boolean) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
setDelimPadSize(int) - Method in class edu.stanford.nlp.util.ConfusionMatrix
Sets the width used to separate cells in the table.
setDep(IndexedWord) - Method in class edu.stanford.nlp.trees.TypedDependency
 
setDeterminism(boolean) - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
setDiffConstituents(Set<Constituent>) - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
setDiffConstituents(Set<Constituent>) - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
 
setDiffDecoratedTree(Tree) - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
 
setDiscourseTags(String, String) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
setDocAnnotationPatterns(String) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
setDocID(String) - Method in class edu.stanford.nlp.ling.CoreLabel
setDocID(String) - Method in interface edu.stanford.nlp.ling.HasIndex
 
setDocID(String) - Method in class edu.stanford.nlp.ling.IndexedWord
 
setDocIdTagMatcher(String) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
setDocTypeTagMatcher(String) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
setDocumentID(String) - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
 
setDoNotLexicalizeFirstArgument(boolean) - Method in class edu.stanford.nlp.ie.machinereading.RelationFeatureFactory
 
setDoSelectiveSplit(boolean) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
 
setDoSelectiveSplit(boolean) - Method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer
If this is set to true, then the binarizer will choose selectively whether or not to split states based on how many counts the states had in a previous run.
setdot(double) - Method in class edu.stanford.nlp.math.DoubleAD
 
setEdge(int, LatticeEdge) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
 
setEdge(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
 
setElementDelimiter(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Only read text from inside these XML elements if in XML mode.
setEnableTsurgeon(boolean) - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
setEncoding(String) - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
setEnd(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
 
setEnd(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
setEnd(int) - Method in class edu.stanford.nlp.trees.Constituent
set end node.
setEnd(int) - Method in class edu.stanford.nlp.trees.SimpleConstituent
set end node.
setEndNode(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
setEndPosition(int) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the ending character offset of the label (or -1 if none).
setEndPosition(int) - Method in interface edu.stanford.nlp.ling.HasOffset
Set the ending character offset of the label (or -1 if none).
setEndPosition(int) - Method in class edu.stanford.nlp.ling.IndexedWord
 
setEndPosition(int) - Method in class edu.stanford.nlp.ling.StringLabel
 
setEntityResultsPrinterSet(Set<ResultsPrinter>) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
setEnvBindRestriction(String) - Method in class edu.stanford.nlp.patterns.surface.Token
 
setEolString(String) - Method in class edu.stanford.nlp.process.TokenizerAdapter
Set the String returned when the inner tokenizer returns an end-of-line token.
setEPS(double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
setEpsilon(double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the epsilon value for LogConditionalObjectiveFunction.
setEpsilon(double) - Method in class edu.stanford.nlp.classify.LogPrior
 
setError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
setEscaper(Function<List<HasWord>, List<HasWord>>) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Set an escaper.
setEvalCmd(String) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
Set the evaluation command (set to null to skip evaluation using command line)
setEvalGF(boolean) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
setEvaluateGrammaticalFunctions(boolean) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Sets whether to consider grammatical functions in evaluation
setEvaluateGrammaticalFunctions(boolean) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
If evalGFs = true, then the evaluation of parse trees will include evaluation on grammatical functions.
setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
setEvaluators(int, Evaluator[]) - Method in interface edu.stanford.nlp.optimization.HasEvaluators
 
setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.HybridMinimizer
 
setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setEvaluators(int, int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
setEvaluators(int, Evaluator[]) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
setExtent(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
setExtra() - Method in class edu.stanford.nlp.trees.TypedDependency
 
setExtractEntities(boolean) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
setExtractEvents(boolean) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
setExtractRelations(boolean) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
setExtractRules(SequenceMatchRules.ExtractRule<CoreMap, T>, SequenceMatchRules.ExtractRule<List<? extends CoreMap>, T>, Predicate<T>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
 
setFeatureCountThreshold(int) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
setFeatureGrouping(int[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
setFeatureValue(String, String) - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
 
setField(Partial, DateTimeFieldType, int) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
setFilename(String) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.TRegexGUITreeVisitor
 
setFilename(String) - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
 
setFilter(String) - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
setFindType(SequenceMatcher.FindType) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
setFirst(T1) - Method in class edu.stanford.nlp.util.Pair
 
setFirst(T1) - Method in class edu.stanford.nlp.util.Quadruple
 
setFirst(T1) - Method in class edu.stanford.nlp.util.Triple
 
setFolds(int) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
setFont(String) - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
setFontName(String) - Method in class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel
 
setFontName(String) - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
 
setFontName(String) - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
setFontSize(int) - Method in class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel
 
setFontSize(int) - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
setFontSize(int) - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
setFontSizeRepaint(int) - Method in class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel
 
setForceParseSentences(boolean) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
setFourth(T4) - Method in class edu.stanford.nlp.util.Quadruple
 
setFromString(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
Set everything by reversing a toString operation.
setFromString(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the contents of this label to this String representing the complete contents of the label.
setFromString(String) - Method in class edu.stanford.nlp.ling.IndexedWord
Set the contents of this label to this String representing the complete contents of the label.
setFromString(String) - Method in interface edu.stanford.nlp.ling.Label
Set the contents of this label to this String representing the complete contents of the label.
setFromString(String) - Method in class edu.stanford.nlp.ling.StringLabel
Set the label from a String.
setFromString(String) - Method in class edu.stanford.nlp.ling.TaggedWord
Sets a TaggedWord from decoding the String passed in.
setFromString(String, String) - Method in class edu.stanford.nlp.ling.TaggedWord
 
setFromString(String) - Method in class edu.stanford.nlp.ling.ValueLabel
 
setFromString(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
The String is divided according to the divider character (usually, "/").
setFromString(String, String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
setFromString(String) - Method in class edu.stanford.nlp.ling.WordTag
Sets a WordTag from decoding the String passed in.
setFromString(String, String) - Method in class edu.stanford.nlp.ling.WordTag
 
setFromString(String) - Method in class edu.stanford.nlp.trees.Constituent
Make a new label with this String as the "name", perhaps by doing some appropriate decoding of the string.
setFromString(String) - Method in class edu.stanford.nlp.trees.LabeledConstituent
 
setFromString(String) - Method in class edu.stanford.nlp.trees.Tree
 
setGeneralWordClassClusters(Map<String, Integer>) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
setGenericity(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
setGenre(SurfacePattern.Genre) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
setGfCharacter(char) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
 
setGfCharacter(char) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Sets the grammatical function indicating character to gfCharacter.
setGlobal(Interner<Object>) - Static method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
For supplying a new instance for the global methods to use.
setGlobal(Interner<Object>) - Static method in class edu.stanford.nlp.util.Interner
For supplying a new instance for the global methods to use.
setGlobalHolder(MaxentTagger) - Method in class edu.stanford.nlp.tagger.maxent.DictionaryExtractor
Any subclass of this extractor that overrides setGlobalHolder should call this class's setGlobalHolder as well...
setGlobalHolder(MaxentTagger) - Method in class edu.stanford.nlp.tagger.maxent.Extractor
Subclasses should override this method and keep only the data they want about the tagger.
setGlobalHolder(MaxentTagger) - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
setGoal(int) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
setGoldClass(Tree, int) - Static method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations
 
setGov(IndexedWord) - Method in class edu.stanford.nlp.trees.TypedDependency
 
setHeadFinder(HeadFinder) - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
setHeadFinder(HeadFinder) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
 
setHeadFinder(HeadFinder) - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
setHeadTokenPosition(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
setHeadTokenSpan(Span) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
setHeldOutPercent(double) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
setHeldOutSearcher(LineSearcher) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
setHessSampleSize(int) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
setHighlightColor(Color) - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
 
setHighlightColor(Color) - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
setHistory(List<double[]>, List<double[]>) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
setHistory(List<double[]>, List<double[]>) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setHistorySize(int) - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
setID(String) - Method in class edu.stanford.nlp.ling.RVFDatum
Sets id for this instance
setIgnoreProvidedTag(boolean) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
setIncludeNested(boolean) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
setIndex(int) - Method in class edu.stanford.nlp.ling.CoreLabel
setIndex(int) - Method in interface edu.stanford.nlp.ling.HasIndex
 
setIndex(int) - Method in class edu.stanford.nlp.ling.IndexedWord
 
setIndex(int) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Set the index for the current node.
setInitialSequence(int[]) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
Informs this sequence model that the value of the whole sequence is initialized to sequence
setInitialSequence(int[]) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
setInitialSequence(int[]) - Method in class edu.stanford.nlp.sequences.FactoredSequenceListener
Informs this sequence model that the value of the whole sequence is initialized to sequence
setInitialSequence(int[]) - Method in interface edu.stanford.nlp.sequences.SequenceListener
Informs this sequence listener that the value of the whole sequence is initialized to sequence.
setInitialState(DFSAState<T, S>) - Method in class edu.stanford.nlp.fsm.DFSA
 
setInput(IN) - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
setInputEncoding(String) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Sets the input encoding.
setInputEncoding(String) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
 
setInsertNPinPP(boolean) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
 
setKeepEmptySentences(boolean) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Set whether or not the tokenizer keeps empty sentences in whitespace mode.
setKeepOriginalText(boolean) - Method in class edu.stanford.nlp.ling.DocumentReader
Sets whether created documents should store their source text along with tokenized words.
setLabel(LabelType) - Method in class edu.stanford.nlp.ling.BasicDatum
Removes all currently assigned Labels for this Datum then adds the given Label.
setLabel(L) - Method in class edu.stanford.nlp.ling.BasicDocument
Removes all currently assigned labels for this Document then adds the given label.
setLabel(L) - Method in class edu.stanford.nlp.ling.RVFDatum
Removes all currently assigned Labels for this Datum then adds the given Label.
setLabel(String) - Method in class edu.stanford.nlp.parser.lexparser.LatticeEdge
 
setLabel(Label) - Method in class edu.stanford.nlp.trees.Constituent
Sets the label associated with the current Constituent, if there is one.
setLabel(Label) - Method in interface edu.stanford.nlp.trees.Labeled
Sets the label associated with this object.
setLabel(Label) - Method in class edu.stanford.nlp.trees.LabeledConstituent
 
setLabel(Label) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Sets the label associated with the current node, if there is one.
setLabel(Label) - Method in class edu.stanford.nlp.trees.Tree
Sets the label associated with the current node, if there is one.
setLabel(CoreLabel) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Sets the label associated with the current node.
setLabelDictionary(Map<String, Set<String>>) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
setLabelIndex(Index<L>) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
setLabels(Collection<LabelType>) - Method in class edu.stanford.nlp.ling.BasicDatum
Removes all currently assigned labels for this Datum then adds all of the given Labels.
setLabels(Collection<L>) - Method in class edu.stanford.nlp.ling.BasicDocument
Removes all currently assigned labels for this Document then adds all of the given labels.
setLabels(Collection<Label>) - Method in class edu.stanford.nlp.trees.Constituent
 
setLabels(Collection<Label>) - Method in interface edu.stanford.nlp.trees.Labeled
Sets the labels associated with this object.
setLabels(Collection<Label>) - Method in class edu.stanford.nlp.trees.Tree
 
setLdctype(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
setLearnClosedTags(boolean) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
setLearnedPatterns(Counter<Integer>, String) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
setLearnedWords(Counter<String>, String) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
setLeaveGF(boolean) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
 
setLeaveGF(boolean) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
 
setLeftPadSize(int) - Method in class edu.stanford.nlp.util.ConfusionMatrix
This sets the lefthand side pad width for displaying the text table.
setLemma(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the lemma value for the label (if one is stored).
setLemma(String) - Method in interface edu.stanford.nlp.ling.HasLemma
Set the lemma value for the label (if one is stored).
setLemma(String) - Method in class edu.stanford.nlp.ling.IndexedWord
 
setLemma(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
setLex(Lexicon) - Method in class edu.stanford.nlp.parser.lexparser.ChineseSimWordAvgDepGrammar
 
setLexicon(Lexicon) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
setLexicon(Lexicon) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
Set the Lexicon, which the DependencyGrammar may use in scoring P(w|t).
setLimitedGF(boolean) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
 
setLogger(Logger) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor
 
setLoggerLevel(Level) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
setLoggerLevel(Level) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
setLoggerLevel(Level) - Method in interface edu.stanford.nlp.ie.machinereading.Extractor
 
setLoggerLevel(Level) - Method in class edu.stanford.nlp.ie.machinereading.ExtractorMerger
 
setLoggerLevel(Level) - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
 
setLoggerLevel(Level) - Static method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
setM(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setM(int) - Method in class edu.stanford.nlp.optimization.SQNMinimizer
 
setMap(Map<K1, V1>) - Method in class edu.stanford.nlp.util.MapFactory
A method to get a parameterized (genericized) map out.
setMap(Map<K1, V1>, int) - Method in class edu.stanford.nlp.util.MapFactory
 
setMarkLineBreaks(boolean) - Method in class edu.stanford.nlp.process.StripTagsProcessor
Sets whether the output of the processor will contain newline words ("\n") at the end of block-level tags.
setMassiBbn(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
setMassiClass(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
setMassiWnss(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
setMatch(TreeFromFile, List<Tree>) - Method in class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel
Used to set the single tree to be displayed in this panel (which should match the tregex expression)
setMatchedColor(Color) - Method in class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel
 
setMatchedColor(Color) - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
setMatchedColor(Color) - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
setMatchedParts(List<Tree>) - Method in class edu.stanford.nlp.trees.tregex.gui.ScrollableTreeJPanel
 
setMatches(List<TreeFromFile>, Map<TreeFromFile, List<Tree>>) - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
Used to set the trees to be displayed in this panel (which should match the tregex expression).
setMatchPortionOnly(boolean) - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
setMatchType(MultiWordStringMatcher.MatchType) - Method in class edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher
 
setMatchWithResult(boolean) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
setMaxFontSize(int) - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
setMaxMatches(int) - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
 
setMaxMatches(int) - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
setMaxNodes(int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
 
setMaxSentenceLength(int) - Method in class edu.stanford.nlp.parser.charniak.CharniakParser
 
setMaxTime(Long) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
setMaxY(int[]) - Method in class edu.stanford.nlp.maxent.Experiments
 
setMem(int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Set the mem value for QNMinimizer.
setMentionFinder(CorefMentionFinder) - Method in class edu.stanford.nlp.dcoref.MentionExtractor
 
setMinFontSize(int) - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
setMinimizerCreator(Factory<Minimizer<DiffFunction>>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the minimizer.
setMinNodes(int) - Method in class edu.stanford.nlp.ling.tokensregex.MultiNodePattern
 
setMissingTags(CoreMap, Tree) - Static method in class edu.stanford.nlp.pipeline.ParserAnnotatorUtils
Set the tags of the original tokens and the leaves if they aren't already set
setModality(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
setMode(boolean) - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
 
setModification(String) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
setMonth(int) - Method in class edu.stanford.nlp.time.SUTime.IsoDate
 
setmPolarity(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
setNegLabel(String) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier
 
setNER(String) - Method in interface edu.stanford.nlp.ling.AbstractCoreLabel
 
setNER(String) - Method in class edu.stanford.nlp.ling.CoreLabel
 
setNER(String) - Method in class edu.stanford.nlp.ling.IndexedWord
 
setNewLineCount(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
 
setNextContext(Token[]) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
setNonBinary() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
setNormalizationCacheSize(int) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
setNormalizedName(String) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
setNumber(Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention
 
setNumOcc(int, int) - Method in class edu.stanford.nlp.patterns.surface.Token
 
setNumRecentPatterns(int) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
 
setOldOptions() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setOpenClassTags(String[]) - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
setOption(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.Options
Set an option based on a String array in the style of commandline flags.
setOption(String[], int) - Method in class edu.stanford.nlp.sentiment.RNNOptions
 
setOption(String[], int) - Method in class edu.stanford.nlp.sentiment.RNNTestOptions
 
setOption(String[], int) - Method in class edu.stanford.nlp.sentiment.RNNTrainOptions
 
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Set language-specific options according to flags.
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
Some options for setOptionFlag:
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Set language-specific options according to flags.
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
Set language-specific options according to flags.
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
Set language-specific options according to flags.
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.Options
Set an option in this object, based on a String array in the style of commandline flags.
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
Set language-specific options according to flags.
setOptionFlag(String[], int) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Set a language-specific option according to command-line flags.
setOptionFlag(String[], int) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceOptions
 
setOptionFlags(String...) - Method in class edu.stanford.nlp.parser.common.ParserGrammar
 
setOptionFlags(String...) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
This will set options to the parser, in a way exactly equivalent to passing in the same sequence of command-line arguments.
setOptionFlags(String...) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
setOptionFlags(String...) - Method in interface edu.stanford.nlp.parser.ViterbiParserWithOptions
This will set options to a parser, in a way generally equivalent to passing in the same sequence of command-line arguments.
setOptionOrWarn(String[], int) - Method in class edu.stanford.nlp.parser.lexparser.Options
Set an option based on a String array in the style of commandline flags.
setOptions(String) - Method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer.ArabicTokenizerFactory
options: A comma-separated list of options
setOptions(String) - Method in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
Set underlying tokenizer options.
setOptions(String) - Method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
Set underlying tokenizer options.
setOptions(String...) - Method in class edu.stanford.nlp.parser.lexparser.Options
Set options based on a String array in the style of commandline flags.
setOptions(String[], int, int) - Method in class edu.stanford.nlp.parser.lexparser.Options
Set options based on a String array in the style of commandline flags.
setOptions(String) - Method in class edu.stanford.nlp.process.PTBTokenizer.PTBTokenizerFactory
 
setOptions(String) - Method in interface edu.stanford.nlp.process.TokenizerFactory
 
setOptions(String) - Method in class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
setOptions(String) - Method in class edu.stanford.nlp.trees.TreeTokenizerFactory
 
setOptionsOrWarn(String...) - Method in class edu.stanford.nlp.parser.lexparser.Options
Set options based on a String array in the style of commandline flags.
setOptionsOrWarn(String[], int, int) - Method in class edu.stanford.nlp.parser.lexparser.Options
Set options based on a String array in the style of commandline flags.
setOrder(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
setOriginalText(String) - Method in interface edu.stanford.nlp.ling.AbstractCoreLabel
 
setOriginalText(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the String which is the original character sequence of the token.
setOriginalText(String) - Method in interface edu.stanford.nlp.ling.HasContext
Set the String which is the original character sequence of the token.
setOriginalText(String) - Method in class edu.stanford.nlp.ling.IndexedWord
 
setOtherSemanticClassesWords(Set<String>) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
setOutput(OUT) - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
setOutputEncoding(String) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Sets the output encoding.
setOutputEncoding(String) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
 
setParent(AceEntity) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
setParent(AceEvent) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
 
setParent(AceRelation) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
 
setParent(TreeGraphNode) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Set the parent for the current node.
setPartNo(String) - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
 
setPatternIndex(ConcurrentHashIndex<SurfacePattern>) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
setPlatt(LinearClassifier<L, L>) - Method in class edu.stanford.nlp.classify.SVMLightClassifier
 
setPredictedLabels(Tree) - Static method in class edu.stanford.nlp.sentiment.BuildBinarizedDataset
 
setPredictionError(Tree, double) - Static method in class edu.stanford.nlp.neural.rnn.RNNCoreAnnotations
 
setPredictions(Annotation[][]) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
setPrefix(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
setPrevContext(Token[]) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
setPrior(LogPrior) - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
setPrior(LogPrior) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Set the prior.
setPrior(LogPrior) - Method in class edu.stanford.nlp.classify.SemiSupervisedLogConditionalObjectiveFunction
 
setPriority(double) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
setProcessor(StanfordCoreNLP) - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
 
setProperties(Properties) - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
Initialize this object using values in Properties object.
setProperties(Properties, boolean) - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
Initialize using values in Properties file.
setProperties(Properties) - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
setRatioGoogleNgramFreqWithDataFreq() - Static method in class edu.stanford.nlp.patterns.surface.Data
 
setReader(GenericDataSetReader) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
setReader(Reader) - Method in class edu.stanford.nlp.ling.DocumentReader
Sets the reader from which to read and create documents.
setRelationExtractorClassifierType(String) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
setRelationResultsPrinterSet(Set<ResultsPrinter>) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
setReln(GrammaticalRelation) - Method in class edu.stanford.nlp.trees.TypedDependency
 
setRetrainFromScratchAfterSigmaTuning(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
If set to true, then when training a classifier, after an optimal sigma is chosen a model is relearned from scratch.
setRobustOptions() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
setRoot(TsurgeonPatternRoot) - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
 
setRoots(Collection<IndexedWord>) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
setRulesForTrainingSet(List<Tree>, Map<Tree, byte[]>) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
Sets - Class in edu.stanford.nlp.util
Utilities for sets.
setSaveEnabled(boolean) - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
Used to change the status of the save file menu item to reflect whether any trees are available to save.
setSaveHistoryEnabled(boolean) - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
Used to change the status of the saveHistory file menu item to reflect whether any search statistics are available to save
setScore(double) - Method in class edu.stanford.nlp.fsm.DFSA
 
setScore(double) - Method in class edu.stanford.nlp.fsm.DFSAState
 
setScore(double) - Method in class edu.stanford.nlp.trees.Constituent
Sets the score associated with the current node, if there is one
setScore(double) - Method in class edu.stanford.nlp.trees.LabeledScoredConstituent
Sets the score associated with the current node, if there is one
setScore(double) - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Sets the score associated with the current node, if there is one
setScore(double) - Method in class edu.stanford.nlp.trees.Tree
Sets the score associated with the current node, if there is one.
setScore(double) - Method in class edu.stanford.nlp.util.ScoredObject
 
setScorer(Scorer<L>) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
setScriptAndPattern(String, String) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
 
setSecond(T2) - Method in class edu.stanford.nlp.util.Pair
 
setSecond(T2) - Method in class edu.stanford.nlp.util.Quadruple
 
setSecond(T2) - Method in class edu.stanford.nlp.util.Triple
 
setSectionAnnotationPatterns(String) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
setSectionTagMatcher(String) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
setSentence(CoreMap) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
setSentenceDelimiter(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Make the processor assume that the document is already delimited by the supplied parameter.
setSentenceFinalPuncWords(String[]) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Sets the end-of-sentence delimiters.
setSentences(List<List<AceToken>>) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
setSentIndex(int) - Method in class edu.stanford.nlp.ling.CoreLabel
setSentIndex(int) - Method in interface edu.stanford.nlp.ling.HasIndex
 
setSentIndex(int) - Method in class edu.stanford.nlp.ling.IndexedWord
 
setSentIndex(Tree, int) - Static method in class edu.stanford.nlp.trees.Trees
Set the sentence index of all the leaves in the tree (only works on CoreLabel)
setSequenceMatchResultExtractor(Class) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
setShowOnlyMatchedPortion(boolean) - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
 
setSigma(double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
setSigma(double) - Method in class edu.stanford.nlp.classify.LogPrior
 
setSigma(double) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
setSigmaSquared(double) - Method in class edu.stanford.nlp.classify.LogPrior
 
setSigmaSquaredM(double[]) - Method in class edu.stanford.nlp.classify.LogPrior
 
setSignature(String) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
setSingleSentenceTagMatcher(String) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
setSize(int) - Method in class edu.stanford.nlp.tagger.maxent.PairsHolder
 
setSlice(int, SimpleMatrix) - Method in class edu.stanford.nlp.neural.SimpleTensor
Use the given matrix in place of slice.
setSource(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
setSource(int) - Method in class edu.stanford.nlp.util.IntUni
 
setSourceNode(NODE) - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
setSpanLabel(Tree, Pair<Integer, Integer>, String) - Static method in class edu.stanford.nlp.sentiment.BuildBinarizedDataset
 
setSpans() - Method in class edu.stanford.nlp.trees.Tree
Assign a SpanAnnotation on each node of this tree.
setSsplitDiscardTokensMatcher(String) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
setStart(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
 
setStart(int) - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
setStart(int) - Method in class edu.stanford.nlp.trees.Constituent
set start node.
setStart(int) - Method in class edu.stanford.nlp.trees.SimpleConstituent
set start node.
setStartNode(Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
setStateID(S) - Method in class edu.stanford.nlp.fsm.DFSAState
 
setStringMatchResultExtractor(Class) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
setSubtype(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
 
setSubtype(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
setSubtype(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
 
setSum() - Method in class edu.stanford.nlp.maxent.Feature
 
setSvmLightVerbosity(int) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
setTag(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
 
setTag(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the tag value for the label (if one is stored).
setTag(String) - Method in interface edu.stanford.nlp.ling.HasTag
Set the tag value for the label (if one is stored).
setTag(String) - Method in class edu.stanford.nlp.ling.IndexedWord
 
setTag(Label) - Method in class edu.stanford.nlp.ling.LabeledWord
 
setTag(String) - Method in class edu.stanford.nlp.ling.Tag
 
setTag(String) - Method in class edu.stanford.nlp.ling.TaggedWord
 
setTag(String, Value) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
 
setTag(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
Set the tag for the Label.
setTag(String) - Method in class edu.stanford.nlp.ling.WordTag
 
setTag(int, String) - Method in class edu.stanford.nlp.tagger.maxent.History
 
setTagDelimiter(String) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Split tags from tokens.
setTags(Tags) - Method in interface edu.stanford.nlp.ling.tokensregex.types.Expression
Set the tags associated with this expression
setTags(Tags) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
 
setTags(Tags) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
 
setTargetNode(NODE) - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
setTemporal(SUTime.Temporal) - Method in class edu.stanford.nlp.time.TimeExpression
 
setTense(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
setTerminateOnEvalImprovementNumOfEpoch(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
setTerminateOnEvalImprovementNumOfEpoch(int) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
setTestData(Collection<List<IN>>, List<Triple<int[][][], int[], double[][][]>>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
Set the data to test on
setThird(T3) - Method in class edu.stanford.nlp.util.Quadruple
 
setThird(T3) - Method in class edu.stanford.nlp.util.Triple
 
setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
 
setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
 
setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
 
setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
 
setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.Range
 
setTimeZone(SUTime.Temporal, DateTimeZone) - Static method in class edu.stanford.nlp.time.SUTime.Temporal
 
setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
setTimeZone(int) - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
setTimeZone(DateTimeZone) - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
 
setTitle(String) - Method in class edu.stanford.nlp.ling.BasicDocument
Sets the title of this Document to the given title.
setToken(PatternToken) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
setTokenAnnotationPatterns(String) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
 
setTokenizerFactory(TokenizerFactory<Word>) - Method in class edu.stanford.nlp.ling.BasicDocument
Sets the tokenizerFactory to be used by BasicDocument.parse(String).
setTokenizerFactory(TokenizerFactory<? extends HasWord>) - Method in class edu.stanford.nlp.ling.DocumentReader
Sets the tokenizer used to chop up text into words for the documents.
setTokenizerFactory(TokenizerFactory<? extends HasWord>) - Method in class edu.stanford.nlp.process.DocumentPreprocessor
Sets the factory from which to produce a Tokenizer.
setTokenizerFactory(TokenizerFactory<? extends HasWord>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
setTol(double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Set the tolerance.
setTOL(double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
setToLogDeterministic(float[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
setToLogDeterministic(double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
SetToStringNodeProcessor(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.SetToStringNodeProcessor
 
setTree(Tree) - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
setTreebank(Treebank) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
 
setTreeColor(Color) - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
setTreeGraph(GrammaticalStructure) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Set pointer to the GrammaticalStructure of which this node is a part.
setTreeReaderFactory(TreeReaderFactory) - Method in class edu.stanford.nlp.trees.tregex.gui.FilePanel
Sets a new tree reader factory for reading trees from files in this panel.
setTreeReaderFactory(TreeReaderFactory) - Static method in class edu.stanford.nlp.trees.tregex.gui.Preferences
 
setTRF(TreeReaderFactory) - Static method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
setTsurgeonEnabled(boolean) - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
Used to change the status of the tsurgeon file menu item to reflect whether tsurgeon is enabled
setTuneCV(boolean) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
setTuneHeldOut(boolean) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
setTuneMinimizer(LineSearcher) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
setTuneSigmaCV(int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
setTuneSigmaCV sets the tuneSigmaCV flag: when turned on, the sigma is tuned by cross-validation.
setTuneSigmaCV(int) - Method in class edu.stanford.nlp.classify.NBLinearClassifierFactory
setTuneSigmaCV sets the tuneSigma flag: when turned on, the sigma is tuned by cross-validation.
setTuneSigmaHeldOut() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
setTuneSigmaHeldOut sets the tuneSigmaHeldOut flag: when turned on, the sigma is tuned by means of held-out (70%-30%).
setType(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
 
setType(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
setType(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEvent
 
setType(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
 
setType(String) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
setTypeProbabilities(Counter<String>) - Method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
setUnknownLabels(Tree, Integer) - Static method in class edu.stanford.nlp.sentiment.BuildBinarizedDataset
Sets all of the labels on a tree to the given default value.
setUnknownWordModel(UnknownWordModel) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
setUnknownWordModel(UnknownWordModel) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
setUnknownWordModel(UnknownWordModel) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
setUnknownWordModel(UnknownWordModel) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
setup(File, String...) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
setUp(Properties) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
setUp() - Method in class edu.stanford.nlp.patterns.surface.LearnImportantFeatures
 
setUp(Properties) - Method in class edu.stanford.nlp.patterns.surface.ScorePatterns
 
setUp(Properties) - Method in class edu.stanford.nlp.patterns.surface.ScorePatternsF1
 
setUp(Properties) - Method in class edu.stanford.nlp.patterns.surface.ScorePatternsFreqBased
 
setUp(Properties) - Method in class edu.stanford.nlp.patterns.surface.ScorePatternsRatioModifiedFreq
 
setUp(Properties) - Method in class edu.stanford.nlp.patterns.surface.SentenceIndex
 
setup(File, String...) - Method in interface edu.stanford.nlp.trees.treebank.Mapper
Perform initialization prior to the first call to map.
setup() - Static method in class edu.stanford.nlp.util.logging.StanfordRedwoodConfiguration
Set up the Redwood logger with Stanford's default configuration
setUseNewHeadFinder(boolean) - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
 
setUseRealLabels(boolean) - Method in class edu.stanford.nlp.util.ConfusionMatrix
 
setUseSigmoid(boolean) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
Specify whether or not to train an overlying platt (sigmoid) model for producing meaningful probabilities.
setUseSum(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
NOTE: nothing is actually done with this value! SetUseSum sets the useSum flag: when turned on, the Summed Conditional Objective Function is used.
setval(double) - Method in class edu.stanford.nlp.math.DoubleAD
 
setValidator(LabelValidator) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
setValue(int, double) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
setValue(int[], double) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
setValue(int[], float) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
setValue(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the value for the label (if one is stored).
setValue(String) - Method in class edu.stanford.nlp.ling.IndexedWord
 
setValue(String) - Method in interface edu.stanford.nlp.ling.Label
Set the value for the label (if one is stored).
setValue(String) - Method in class edu.stanford.nlp.ling.StringLabel
Set the value for the label.
setValue(String) - Method in class edu.stanford.nlp.ling.ValueLabel
Set the value for the label (if one is stored).
setValue(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
Set the value for the Label.
setValue(String) - Method in class edu.stanford.nlp.ling.WordTag
Set the value for the label (if one is stored).
setValue(int, int, double) - Method in class edu.stanford.nlp.maxent.Feature
Used to sequentially set the values of a feature -- index is the pace in the arrays ; key goes into indexedValues, and value goes into valuesI.
setValue(String) - Method in class edu.stanford.nlp.trees.Constituent
Set the value for the label (if one is stored).
setValue(String) - Method in class edu.stanford.nlp.trees.Tree
 
setValues(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierEvaluator
 
setValues(double[]) - Method in class edu.stanford.nlp.optimization.CmdEvaluator
 
setVariables(Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
setVerbose(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Set the verbose flag for CGMinimizer.
setVerbose(boolean) - Static method in class edu.stanford.nlp.ie.NumberNormalizer
 
setWeight(int, float) - Method in class edu.stanford.nlp.classify.WeightedDataset
Set the weight of datum i.
setWeight(double) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
setWeight(double) - Method in class edu.stanford.nlp.parser.lexparser.LatticeEdge
 
setWeights(double[][]) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
setWeights(double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
setWeights(double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionNoisyLabel
 
setWeights(double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionWithDropout
 
setWord(String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
 
setWord(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
 
setWord(String) - Method in class edu.stanford.nlp.ling.CoreLabel
Set the word value for the label.
setWord(String) - Method in interface edu.stanford.nlp.ling.HasWord
Set the word value for the label (if one is stored).
setWord(String) - Method in class edu.stanford.nlp.ling.IndexedWord
 
setWord(String) - Method in class edu.stanford.nlp.ling.Word
 
setWord(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
setWord(String) - Method in class edu.stanford.nlp.ling.WordTag
 
setWordShapesForLabels(Map<String, Counter<String>>) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
setWordVectors(Map<String, SimpleMatrix>) - Method in class edu.stanford.nlp.neural.Embedding
 
setYear(int) - Method in class edu.stanford.nlp.time.SUTime.IsoDate
 
SGD2QNhessSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
SGDMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
In place Stochastic Gradient Descent Minimizer.
SGDMinimizer(double, int) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
 
SGDMinimizer(double, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
 
SGDMinimizer(double, int, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
 
SGDMinimizer(LogPrior, int, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDMinimizer
 
SGDPasses - Variable in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
SGDPasses - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
SGDToQNMinimizer - Class in edu.stanford.nlp.optimization
Stochastic Gradient Descent To Quasi Newton Minimizer An experimental minimizer which takes a stochastic function (one implementing AbstractStochasticCachingDiffFunction) and executes SGD for the first couple passes.
SGDToQNMinimizer(double, int, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
SGDToQNMinimizer(double, int, int, int, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
SGDToQNMinimizer(double, int, int, int, int, int, boolean) - Constructor for class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
SGDWithAdaGradAndFOBOS<T extends DiffFunction> - Class in edu.stanford.nlp.optimization
Stochastic Gradient Descent With AdaGrad and FOBOS in batch mode.
SGDWithAdaGradAndFOBOS(double, double, int) - Constructor for class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
SGDWithAdaGradAndFOBOS(double, double, int, int) - Constructor for class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
SGDWithAdaGradAndFOBOS(double, double, int, int, String, double, boolean, boolean, double, double) - Constructor for class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
SGDWithAdaGradAndFOBOS.Prior - Enum in edu.stanford.nlp.optimization
 
SGML - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
SGML - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
ShapeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ShapeAnnotation
 
shapeOf(CharSequence, boolean, boolean) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
SHARE_ATTRIBUTES - Static variable in class edu.stanford.nlp.dcoref.Constants
Share attributes between coreferent mentions
shift() - Method in class edu.stanford.nlp.parser.nndep.Configuration
 
shift(int) - Method in class edu.stanford.nlp.sequences.Clique
 
shiftLeft() - Method in class edu.stanford.nlp.util.IntTuple
 
ShiftReduceOptions - Class in edu.stanford.nlp.parser.shiftreduce
 
ShiftReduceOptions() - Constructor for class edu.stanford.nlp.parser.shiftreduce.ShiftReduceOptions
 
ShiftReduceParser - Class in edu.stanford.nlp.parser.shiftreduce
Overview and description available at http://nlp.stanford.edu/software/srparser.shtml
ShiftReduceParser(ShiftReduceOptions) - Constructor for class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
ShiftReduceParser(ShiftReduceOptions, BaseModel) - Constructor for class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
ShiftReduceParserQuery - Class in edu.stanford.nlp.parser.shiftreduce
 
ShiftReduceParserQuery(ShiftReduceParser) - Constructor for class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParserQuery
 
ShiftReduceTestOptions - Class in edu.stanford.nlp.parser.shiftreduce
 
ShiftReduceTestOptions() - Constructor for class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTestOptions
 
ShiftReduceTrainOptions - Class in edu.stanford.nlp.parser.shiftreduce
 
ShiftReduceTrainOptions() - Constructor for class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
 
ShiftReduceTrainOptions.TrainingMethod - Enum in edu.stanford.nlp.parser.shiftreduce
 
ShiftTransition - Class in edu.stanford.nlp.parser.shiftreduce
Transition that moves a single item from the front of the queue to the top of the stack without making any other changes.
ShiftTransition() - Constructor for class edu.stanford.nlp.parser.shiftreduce.ShiftTransition
 
shortArrToByteArr(short[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
shortArrToByteArr(short[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
shortArrToByteArr(byte[], int, short[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
shortNameToGRel - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
shortNameToGRel - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
 
shortValue() - Method in class edu.stanford.nlp.util.MutableDouble
 
shortValue() - Method in class edu.stanford.nlp.util.MutableInteger
 
shortValue() - Method in class edu.stanford.nlp.util.MutableLong
 
showAll() - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
Show all of the channels.
showOnlyChannels(Object...) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Show only these channels, as far as downstream handlers are concerned.
showOnlyError - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Show only errors (e.g., to send them to an error file)
shuffle(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
shuffle(int[], Random) - Static method in class edu.stanford.nlp.math.ArrayMath
 
shuffleSentences(CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
Randomized shuffle of all sentences int this dataset
shuffleWithSideInformation(long, List<E>) - Method in class edu.stanford.nlp.classify.GeneralDataset
Randomizes the data array in place.
shuffleWithSideInformation(long, List<E>) - Method in class edu.stanford.nlp.classify.RVFDataset
Randomizes the data array in place.
shuffleWithSideInformation(long, List<E>) - Method in class edu.stanford.nlp.classify.WeightedDataset
Randomizes (shuffles) the data array in place.
shutUp() - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
shutUp() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
shutUp() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
shutUp() - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
shutUp() - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
shutUp() - Method in class edu.stanford.nlp.optimization.SGDToQNMinimizer
 
shutUp() - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
shutUp() - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
shutUp() - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
siblings(Tree) - Method in class edu.stanford.nlp.trees.Tree
Returns the siblings of this Tree node.
side - Variable in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
Which side the head is on
sideCounters(String, List, List, Map) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
 
sieveClassName(int) - Method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
SieveCoreferenceSystem - Class in edu.stanford.nlp.dcoref
Multi-pass Sieve coreference resolution system (see EMNLP 2010 paper).
SieveCoreferenceSystem(Properties) - Constructor for class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
SieveOptions - Class in edu.stanford.nlp.dcoref
 
SieveOptions() - Constructor for class edu.stanford.nlp.dcoref.SieveOptions
 
SIEVEPASSES - Static variable in class edu.stanford.nlp.dcoref.Constants
Default sieve passes
SIEVES_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
Sighan2005DocumentReaderAndWriter - Class in edu.stanford.nlp.wordseg
DocumentReader for Chinese segmentation task.
Sighan2005DocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.wordseg.Sighan2005DocumentReaderAndWriter
 
sighanCorporaDict - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
for Sighan bakeoff 2005, the path to the dictionary of bigrams appeared in corpus
sighanPostProcessing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
sigLevelByApproxRand(double[], double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Computes the significance level by approximate randomization, using a default value of 1000 iterations.
sigLevelByApproxRand(double[], double[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
Takes a pair of arrays, A and B, which represent corresponding outcomes of a pair of random variables: say, results for two different classifiers on a sequence of inputs.
sigLevelByApproxRand(int[], int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sigLevelByApproxRand(int[], int[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sigLevelByApproxRand(boolean[], boolean[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sigLevelByApproxRand(boolean[], boolean[], int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sigma - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
sigma - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
sigma - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
sigma - Variable in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
 
sigma - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
strength of the prior on the linear classifier (passed to LinearClassifierFactory) or the C constant if relationExtractorClassifierType=svm
sigma - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
sigma - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
SIGMA_SQUARED - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
sigmasToTry - Static variable in class edu.stanford.nlp.classify.LinearClassifierFactory
 
sigmoid(double) - Static method in class edu.stanford.nlp.math.SloppyMath
Compute the sigmoid function with mean zero.
sigmoid(double) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Returns a sigmoid applied to the input x.
SIGN - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.LogRecordHandler
Signal the end of a track, i.e.
signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.OutputHandler
Signal the end of a track, i.e.
signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
Signal the end of a track, i.e.
signalEndTrack(int, long) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
Signal the end of a track, i.e.
signalShutdown() - Method in class edu.stanford.nlp.util.logging.LogRecordHandler
 
signalShutdown() - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.LogRecordHandler
Signal the start of a track, i.e.
signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.OutputHandler
Signal the start of a track, i.e.
signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.RepeatedRecordHandler
Signal the start of a track, i.e.
signalStartTrack(Redwood.Record) - Method in class edu.stanford.nlp.util.logging.VisibilityHandler
Signal the start of a track, i.e.
signature(Properties) - Static method in class edu.stanford.nlp.dcoref.Dictionaries
 
signature(Properties) - Static method in class edu.stanford.nlp.dcoref.SieveCoreferenceSystem
 
signature - Variable in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
A signature for a given relation mention, e.g., a concatenation of type and argument strings This is used in KBP, where we merge all RelationMentions corresponding to the same abstract relation
signature - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
 
signature() - Method in class edu.stanford.nlp.pipeline.AnnotatorFactory
Creates the annotator's signature given the current properties.
signature(String, Properties) - Static method in class edu.stanford.nlp.pipeline.BinarizerAnnotator
 
signature(Properties) - Static method in class edu.stanford.nlp.pipeline.DeterministicCorefAnnotator
 
signature(String, Properties) - Static method in class edu.stanford.nlp.pipeline.ParserAnnotator
 
signature(Properties) - Static method in class edu.stanford.nlp.pipeline.POSTaggerAnnotator
 
SIGNATURES_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
SILENCE - Static variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
simpleBinarizedLabels - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
When binarizing trees, don't annotate the labels with anything
SimpleCachedExpression(String, T, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleCachedExpression
 
SimpleConstituent - Class in edu.stanford.nlp.trees
A SimpleConstituent object defines a generic edge in a graph.
SimpleConstituent() - Constructor for class edu.stanford.nlp.trees.SimpleConstituent
Create an empty SimpleConstituent object.
SimpleConstituent(int, int) - Constructor for class edu.stanford.nlp.trees.SimpleConstituent
Create a SimpleConstituent object with given values.
SimpleConstituentFactory - Class in edu.stanford.nlp.trees
A ConstituentFactory acts as a factory for creating objects of class Constituent, or some descendent class.
SimpleConstituentFactory() - Constructor for class edu.stanford.nlp.trees.SimpleConstituentFactory
 
SimpleExpression(String, T, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleExpression
 
simpleGoodTuring(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Distribution
Creates a Distribution from the given counter using Gale & Sampsons' "simple Good-Turing" smoothing.
SimpleGoodTuring - Class in edu.stanford.nlp.stats
Simple Good-Turing smoothing, based on code from Sampson, available at: ftp://ftp.informatics.susx.ac.uk/pub/users/grs2/SGT.c

See also http://www.grsampson.net/RGoodTur.html

SimpleGoodTuring(int[], int[]) - Constructor for class edu.stanford.nlp.stats.SimpleGoodTuring
Each instance of this class encapsulates the computation of the smoothing for one probability distribution.
SimpleStringFunction(String) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.SimpleStringFunction
 
SimpleTensor - Class in edu.stanford.nlp.neural
This class defines a block tensor, somewhat like a three dimensional matrix.
SimpleTensor(int, int, int) - Constructor for class edu.stanford.nlp.neural.SimpleTensor
Creates a zero initialized tensor
SimpleTensor(SimpleMatrix[]) - Constructor for class edu.stanford.nlp.neural.SimpleTensor
Copies the data in the slices.
SimpleTime(String) - Constructor for class edu.stanford.nlp.time.SUTime.SimpleTime
 
SimpleTokenize - Class in edu.stanford.nlp.ie.machinereading.common
Simple string tokenization
SimpleTokenize() - Constructor for class edu.stanford.nlp.ie.machinereading.common.SimpleTokenize
 
SimpleTree - Class in edu.stanford.nlp.trees
A SimpleTree is a minimal concrete implementation of an unlabeled, unscored Tree.
SimpleTree() - Constructor for class edu.stanford.nlp.trees.SimpleTree
Create an empty parse tree.
SimpleTree(Label) - Constructor for class edu.stanford.nlp.trees.SimpleTree
Create parse tree with given root and null daughters.
SimpleTree(Label, List<Tree>) - Constructor for class edu.stanford.nlp.trees.SimpleTree
Create parse tree with given root and array of daughter trees.
simpleTreeBinarizer(HeadFinder, TreebankLanguagePack) - Static method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer
Builds a TreeBinarizer with all of the options set to simple values
SimpleTreeFactory - Class in edu.stanford.nlp.trees
A SimpleTreeFactory acts as a factory for creating objects of class SimpleTree.
SimpleTreeFactory() - Constructor for class edu.stanford.nlp.trees.SimpleTreeFactory
Creates a new TreeFactory.
SimpleValue(String, T, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
 
simplifiedModel - Variable in class edu.stanford.nlp.sentiment.RNNOptions
No syntactic untying - use the same matrix/tensor for all categories.
simplify(Env) - Method in interface edu.stanford.nlp.ling.tokensregex.types.Expression
Simplifies the expression using the specified environment
simplify(Env) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ConditionalExpression
 
simplify(Env) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
 
simplify(Env) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
 
simplify(Env) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
 
simplify(Env) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
 
simplifyConstituents(TreebankLanguagePack, Set<Constituent>) - Static method in class edu.stanford.nlp.parser.metrics.TreeSpanScoring
 
simplifyNoTypeConversion(Env, Object...) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.CompositeValue
 
SINGLE_BATCH - Static variable in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
SingleAnnotationExtractor() - Constructor for class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
singleEntityToString(List<E>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
Convert the content of a List of CoreMaps to a single space-separated String.
SINGLETON_MODEL_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
SINGLETON_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
singletonPredictor - Variable in class edu.stanford.nlp.dcoref.MentionExtractor
 
SINGULAR_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
singularPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
singularWords - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
sisterAnnotate - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Selective Sister annotation.
SisterAnnotationStats - Class in edu.stanford.nlp.parser.lexparser
See what sister annotation helps in treebank, based on support and KL divergence.
SisterAnnotationStats() - Constructor for class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
 
sisterCounters(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
 
sisterSkip - Static variable in class edu.stanford.nlp.parser.ui.TreeJPanel
 
sisterSplitLevel - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Set the support * KL cutoff level (1-4) for sister splitting -- don't use it, as far as we can tell so far
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns the splitting strings used for selective splits.
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
 
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
 
sisterSplitters() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
sisterSplitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
sisterSplitters() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Returns the splitting strings used for selective splits.
size - Variable in class edu.stanford.nlp.classify.GeneralDataset
 
size() - Method in class edu.stanford.nlp.classify.GeneralDataset
Returns the number of examples (Datums) in the Dataset.
size() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
size() - Method in class edu.stanford.nlp.ie.machinereading.common.StringDictionary
 
size() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
size() - Method in class edu.stanford.nlp.io.FileSequentialCollection
Returns the size of the FileSequentialCollection.
size() - Method in class edu.stanford.nlp.ling.IndexedWord
 
size() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
size() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
size() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
 
size() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.StringList
 
size() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.TokenList
 
size() - Method in interface edu.stanford.nlp.ling.tokensregex.PhraseTable.WordList
 
size() - Method in class edu.stanford.nlp.maxent.Experiments
Returns the number of training data items.
size() - Method in class edu.stanford.nlp.maxent.Features
 
size() - Method in class edu.stanford.nlp.neural.Embedding
Getters & Setters
size() - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
size() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
size() - Method in class edu.stanford.nlp.parser.shiftreduce.Weight
 
size() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
size() - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
 
size() - Method in class edu.stanford.nlp.patterns.surface.SentenceIndex
 
size() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
size() - Method in class edu.stanford.nlp.sequences.Clique
The number of nodes in the clique.
size() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
size() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns the number of entries stored in this counter.
size() - Method in interface edu.stanford.nlp.stats.Counter
Returns the number of entries stored in this counter.
size() - Method in class edu.stanford.nlp.stats.IntCounter
 
size() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
size() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
size() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
size() - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
size - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
size() - Method in class edu.stanford.nlp.trees.Constituent
Return the length of a Constituent
size() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
 
size() - Method in class edu.stanford.nlp.trees.MemoryTreebank
Returns the size of the Treebank.
size() - Method in class edu.stanford.nlp.trees.Tree
Returns the number of nodes the tree contains.
size() - Method in class edu.stanford.nlp.trees.Treebank
Returns the size of the Treebank.
size() - Method in class edu.stanford.nlp.util.ArrayCoreMap
Returns the number of elements in this map.
size() - Method in class edu.stanford.nlp.util.ArrayHeap
Get the number of elements in the heap.
size() - Method in class edu.stanford.nlp.util.ArrayMap
 
size() - Method in class edu.stanford.nlp.util.ArraySet
Returns size of set.
size() - Method in class edu.stanford.nlp.util.Beam
 
size() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Get the number of elements in the queue.
size() - Method in class edu.stanford.nlp.util.CollectionValuedMap
The number of keys in this map.
size() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
size() - Method in class edu.stanford.nlp.util.concurrent.SynchronizedInterner
 
size() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
size() - Method in class edu.stanford.nlp.util.DeltaIndex
 
size() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Number of elements in the queue.
size() - Method in class edu.stanford.nlp.util.HashIndex
Returns the number of indexed objects.
size() - Method in interface edu.stanford.nlp.util.Heap
The number of elements currently in the heap.
size() - Method in class edu.stanford.nlp.util.IdentityHashSet
Returns the number of elements in this set (its cardinality).
size() - Method in interface edu.stanford.nlp.util.Index
Returns the number of indexed objects.
size() - Method in class edu.stanford.nlp.util.Interner
 
size() - Method in class edu.stanford.nlp.util.IntervalTree
 
size() - Method in class edu.stanford.nlp.util.PaddedList
 
size() - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
size() - Method in class edu.stanford.nlp.util.TreeShapedStack
How many nodes in this branch of the stack
size() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
size() - Method in class edu.stanford.nlp.util.TwoDimensionalSet
 
size() - Method in interface edu.stanford.nlp.util.TypesafeMap
Returns the number of keys in the map.
SizedArrayListFactory(int) - Constructor for class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
 
sizeOuterMap() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
skewDivergence(Counter<E>, Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters
Calculates the skew divergence between the two counters.
SKIP_COREF - Static variable in class edu.stanford.nlp.dcoref.Constants
if true, skip coreference resolution.
skipOutputRegularization - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
skipRoot() - Method in class edu.stanford.nlp.trees.Tree
Returns first child if this is unary and if the label at the current node is either "ROOT" or empty.
skipThisMention(Document, Mention, CorefCluster, Dictionaries) - Method in class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve
Skip this mention? (search pruning)
skipValCalc - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
 
SLASH - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
sList - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
sList - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
sloppyGazette - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
SloppyMath - Class in edu.stanford.nlp.math
The class SloppyMath contains methods for performing basic numeric operations.
slurpFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text in the given File.
slurpFile(File, String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text in the given File.
slurpFile(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text in the given file with the given encoding.
slurpFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text in the given file
slurpFileNoExceptions(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text in the given file with the given encoding.
slurpFileNoExceptions(File) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text in the given file with the given encoding.
slurpFileNoExceptions(String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text in the given file with the given encoding.
slurpGBURL(URL) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text at the given URL.
slurpGZippedFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text in the given File.
slurpGZippedFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text in the given File.
slurpReader(Reader) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text from the given Reader.
slurpURL(URL, String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text at the given URL.
slurpURL(URL) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text at the given URL.
slurpURL(String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text at the given URL.
slurpURLNoExceptions(URL, String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text at the given URL.
slurpURLNoExceptions(URL) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text at the given URL.
slurpURLNoExceptions(String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns all the text at the given URL.
SMALL_BATCH - Static variable in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
 
SMALL_URL - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
smallConst - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
smartMutation - Variable in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
 
smartMutation - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Have tags changeable based on statistics on word types having various taggings.
smartMutation - Variable in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
 
smartMutation - Variable in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel
 
smartMutation - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
Smarter smoothing for rare words.
smartMutation - Variable in class edu.stanford.nlp.parser.lexparser.SpanishUnknownWordModel
 
SMDMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
Stochastic Meta Descent Minimizer based on
SMDMinimizer() - Constructor for class edu.stanford.nlp.optimization.SMDMinimizer
 
SMDMinimizer(double, int, StochasticCalculateMethods, int) - Constructor for class edu.stanford.nlp.optimization.SMDMinimizer
 
SMDMinimizer(double, int, StochasticCalculateMethods, int, boolean) - Constructor for class edu.stanford.nlp.optimization.SMDMinimizer
 
smooth(List<double[]>) - Static method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
smooth_aPTW_aPT - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
smooth_aT_hTd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
smooth_aT_hTWd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Bayesian m-estimate prior for aT given hTWd against base distribution of aT given hTd.
smooth_aTW_aT - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
smooth_aTW_hTd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
smooth_aTW_hTWd - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Bayesian m-estimate prior for aTW given hTWd against base distribution of aTW given hTd.
smooth_stop - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
smoothing - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
TODO wsg2011: This is the old grammar smoothing parameter that no longer does anything in the parser.
smoothInUnknownsThreshold - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
If a word has been seen more than this many times, then relative frequencies of tags are used for POS assignment; if not, they are smoothed with tag priors.
smoothInUnknownsThreshold - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
Words more common than this are tagged with MLE P(t|w).
softmax(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
softmax(SimpleMatrix) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Applies softmax to all of the elements of the matrix.
softmaxOutputLayer - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
softmaxTieLambda - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
solveCG() - Method in class edu.stanford.nlp.maxent.CGRunner
Solves the problem using conjugate gradient (CG).
solveL1(double) - Method in class edu.stanford.nlp.maxent.CGRunner
Solves the problem using OWLQN.
solveOWLQN2(double) - Method in class edu.stanford.nlp.maxent.CGRunner
 
solveQN() - Method in class edu.stanford.nlp.maxent.CGRunner
Solves the problem using a quasi-newton method (L-BFGS).
sortByExtent(List<ExtractionObject>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
 
sortByHeadSpan(List<EntityMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
sorted(Iterable<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Return the items of an Iterable as a sorted list.
sorted(Iterable<T>, Comparator<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Return the items of an Iterable as a sorted list.
sortedEntries(Collection<Map.Entry<K, V>>) - Static method in class edu.stanford.nlp.util.Maps
Sorts a list of entries.
sortedEntries(Map<K, V>) - Static method in class edu.stanford.nlp.util.Maps
Returns a List of entries in the map, sorted by key.
sortedIfPossible(Collection<T>) - Static method in class edu.stanford.nlp.util.ErasureUtils
 
sortFiles - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
sortIntoBlocks(Collection) - Method in class edu.stanford.nlp.fsm.FastExactAutomatonMinimizer
 
source() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
sourceBG() - Method in interface edu.stanford.nlp.parser.lexparser.GrammarProjection
 
sourceUG() - Method in interface edu.stanford.nlp.parser.lexparser.GrammarProjection
 
SpaceBeforeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpaceBeforeAnnotation
 
Span - Class in edu.stanford.nlp.ie.machinereading.structure
Stores the offsets for a span of text Offsets may indicate either token or byte positions Start is inclusive, end is exclusive
Span(int, int) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.Span
This assumes that s <= e.
Span(Span...) - Constructor for class edu.stanford.nlp.ie.machinereading.structure.Span
Creates a span that encloses all spans in the argument list.
Span - Class in edu.stanford.nlp.trees
A Span is an optimized SimpleConstituent object.
Span() - Constructor for class edu.stanford.nlp.trees.Span
Create an empty Span object.
Span(int, int) - Constructor for class edu.stanford.nlp.trees.Span
Create a Span object with given values.
SpanAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpanAnnotation
 
SpanishHeadFinder - Class in edu.stanford.nlp.trees.international.spanish
 
SpanishHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishHeadFinder
 
SpanishHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishHeadFinder
 
SpanishTokenizer<T extends HasWord> - Class in edu.stanford.nlp.international.spanish.process
Tokenizer for raw Spanish text.
SpanishTokenizer(Reader, LexedTokenFactory<T>, Properties, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
Constructor.
SpanishTokenizer.SpanishTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.international.spanish.process
A factory for Spanish tokenizer instances.
SpanishTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.spanish
Language pack for the Spanish treebank.
SpanishTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
 
SpanishTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
TreebankLangParserParams for the AnCora corpus.
SpanishTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
SpanishTreeNormalizer - Class in edu.stanford.nlp.trees.international.spanish
Normalize trees read from the AnCora Spanish corpus.
SpanishTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
 
SpanishTreeNormalizer(boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishTreeNormalizer
 
SpanishTreeReaderFactory - Class in edu.stanford.nlp.trees.international.spanish
A class for reading Spanish AnCora trees that have been converted from XML to PTB format.
SpanishTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.spanish.SpanishTreeReaderFactory
 
SpanishUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser
 
SpanishUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>) - Constructor for class edu.stanford.nlp.parser.lexparser.SpanishUnknownWordModel
 
SpanishUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.SpanishUnknownWordModel
This constructor creates an UWM with empty data structures.
SpanishUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
 
SpanishUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.SpanishUnknownWordModelTrainer
 
SpanishUnknownWordSignatures - Class in edu.stanford.nlp.international.spanish
Contains patterns for matching certain word types in Spanish, such as common suffices for nouns, verbs, adjectives and adverbs.
SpanishVerbStripper - Class in edu.stanford.nlp.international.spanish
Provides a utility function for removing attached pronouns from Spanish verb forms.
spanToString() - Method in class edu.stanford.nlp.dcoref.Mention
 
sparseOutputLayer - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
SpeakerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SpeakerAnnotation
 
speakerInfo - Variable in class edu.stanford.nlp.dcoref.Mention
 
SpeakerInfo - Class in edu.stanford.nlp.dcoref
Information about a speaker
SpeakerInfo(String) - Constructor for class edu.stanford.nlp.dcoref.SpeakerInfo
 
speakerPairs - Variable in class edu.stanford.nlp.dcoref.Document
Pair of mention id, and the mention's speaker id
speakers - Variable in class edu.stanford.nlp.dcoref.Document
UtteranceAnnotation -> String (speaker): mention ID or speaker string
spearmanRankCorrelation(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
SpecialNodePatternExpr(String) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
 
SpecialNodePatternExpr(String, Factory<SequencePattern.State>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
 
spliceOut(Predicate<Tree>) - Method in class edu.stanford.nlp.trees.Tree
Creates a (partial) deep copy of the tree, where all nodes that the filter does not accept are spliced out.
spliceOut(Predicate<Tree>, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Creates a (partial) deep copy of the tree, where all nodes that the filter does not accept are spliced out.
split(double) - Method in class edu.stanford.nlp.classify.Dataset
Divide out a (devtest) split from the start of the dataset and the rest of it (as a training set).
split(int, int) - Method in class edu.stanford.nlp.classify.Dataset
Divide out a (devtest) split of the dataset versus the rest of it (as a training set).
split(int, int) - Method in class edu.stanford.nlp.classify.GeneralDataset
Divide out a (devtest) split of the dataset versus the rest of it (as a training set).
split(double) - Method in class edu.stanford.nlp.classify.GeneralDataset
Divide out a (devtest) split from the start of the dataset and the rest of it (as a training set).
split(double) - Method in class edu.stanford.nlp.classify.RVFDataset
 
split(int, int) - Method in class edu.stanford.nlp.classify.RVFDataset
 
split(String) - Static method in class edu.stanford.nlp.util.StringUtils
Splits on whitespace (\\s+).
split(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Splits the given string using the given regex as delimiters.
splitAux - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Make special tags for forms of BE and HAVE (and maybe DO/HELP, etc.).
splitBaseNP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Mark base NPs.
splitBaseNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark base NPs.
splitBetas() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
Before each iteration of splitting states, we have tables of betas which correspond to the transitions between different substates.
splitCC - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Provide annotation of conjunctions.
splitCharacters(CoreMap) - Method in class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
 
splitCompoundOption - Variable in class edu.stanford.nlp.international.french.process.FrenchTokenizer.FrenchTokenizerFactory
 
splitCompoundOption - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
 
splitContractionOption - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
 
splitCoreMap(Pattern, boolean, CoreMap, CoreTokenFactory<T>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
splitCount - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
If we are predicting splits, we loop this many times
splitDocuments - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
splitFieldsFast(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Splits a string into whitespace tokenized fields based on a delimiter.
splitIN - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Annotate prepositions into subcategories.
splitIntoNumThreads(List<E>, int, int) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
splitJJCOMP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Put a special tag on 'adjectives with complements'.
splitMoreLess - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Specially mark the comparative/superlative words: less, least, more, most
splitMorphString(String, String) - Static method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
Returns the lemma as pair.first() and the morph analysis as pair.second().
splitNNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark NNP words as to position in phrase (single, left, right, inside) or subcategorizes NNP(S) as initials or initial/final in NP.
splitNOT - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Annotates forms of "not" specially as tag "NOT".
splitNPADV - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Retain NP-ADV annotation.
splitNPNNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark NP-NNP.
splitNPpercent - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark phrases that are headed by %.
splitNPPRP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
 
splitNPTMP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Whether to retain the -TMP functional tag on various phrasal categories.
splitNumNP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark "numeric NPs".
splitOnChar(String, char) - Static method in class edu.stanford.nlp.util.StringUtils
 
splitOnCharWithQuoting(String, char, char, char) - Static method in class edu.stanford.nlp.util.StringUtils
This function splits the String s into multiple Strings using the splitChar.
splitOnHead - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
splitOutFold(int, int) - Method in class edu.stanford.nlp.classify.GeneralDataset
Divide out a (devtest) split of the dataset versus the rest of it (as a training set).
splitPercent - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark the nouns that are percent signs.
splitPoss - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Give a special tag to NPs which are possessive NPs (end in 's).
splitPPJJ - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
A special test for "such" mainly ("such as Fred").
splitPPTMP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
splitPrePreT - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Mark all pre-preterminals (also does splitBaseNP: don't need both)
splitQuotes - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark quote marks for single vs.
splitRB - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Split modifier (NP, AdjP) adverbs from others.
splitRecombineRate - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
If we are predicting splits, we recombine states at this rate every loop
splitRules() - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
Populates the "splitRules" accessor lists using the existing rule lists.
splitRulesWithLC(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
 
splitRulesWithRC(int) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
 
splitSbar - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Split SBAR nodes.
splitSFP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Separate out sentence final punct.
splitSGapped - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark specially S nodes with "gapped" subject (control, raising).
splitSTag - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark S/SINV/SQ nodes according to verbal tag.
splitters - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Set the splitter strings.
splitText(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
SplittingGrammarExtractor - Class in edu.stanford.nlp.parser.lexparser
This class is a reimplementation of Berkeley's state splitting grammar.
SplittingGrammarExtractor(Options) - Constructor for class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
splitTMP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Retain NP-TMP (or maybe PP-TMP) annotation.
splitTRJJ - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Put a special tag on 'transitive adjectives' with NP complement, like 'due May 15' -- it also catches 'such' in 'such as NP', which may be a good.
splitVerbOption - Variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer.SpanishTokenizerFactory
 
splitVP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Add (head) tags to VPs.
splitVPNPAgr - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Put enough marking on VP and NP to permit "agreement".
splitWordRegex - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
splitXPTMP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
SPRING - Static variable in class edu.stanford.nlp.time.SUTime
 
SPRING_EQUINOX - Static variable in class edu.stanford.nlp.time.SUTime
 
SQflatten(Tree) - Method in class edu.stanford.nlp.trees.CoordinationTransformer
Removes the SQ structure under a WHNP question, such as "Who am I to judge?".
SQLConnection - Class in edu.stanford.nlp.patterns.surface
Created by sonalg on 10/8/14.
SQLConnection() - Constructor for class edu.stanford.nlp.patterns.surface.SQLConnection
 
SQNMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
Online Limited-Memory Quasi-Newton BFGS implementation based on the algorithms in
SQNMinimizer(int) - Constructor for class edu.stanford.nlp.optimization.SQNMinimizer
 
SQNMinimizer() - Constructor for class edu.stanford.nlp.optimization.SQNMinimizer
 
SQNMinimizer(int, double, int, boolean) - Constructor for class edu.stanford.nlp.optimization.SQNMinimizer
 
sqrtPatScore - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
If score for a pattern is square rooted
SRLIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SRLIDAnnotation
 
SRLInstancesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SRLInstancesAnnotation
 
SSPLIT_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
st - Variable in class edu.stanford.nlp.process.TokenizerAdapter
 
StackedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StackedNamedEntityTagAnnotation
 
Stage() - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor.Stage
 
stage - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
Stage in which this rule should be applied with respect to others
stalledIterationLimit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
How many iterations to allow training to stall before taking the best model, if training in an iterative manner
standard() - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration
The default Redwood configuration, which prints to the console.
standardDeviation(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
standardErrorOfMean(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
standardize(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Standardize values in this array, i.e., subtract the mean and divide by the standard deviation.
STANFORD_CLEAN_XML - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
STANFORD_COLUMN_DATA_CLASSIFIER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
STANFORD_DEPENDENCIES - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
STANFORD_DETERMINISTIC_COREF - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
STANFORD_GENDER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
STANFORD_LEMMA - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
STANFORD_NER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
STANFORD_PARSE - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
STANFORD_POS - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
STANFORD_REGEXNER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
STANFORD_RELATION - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
STANFORD_SENTIMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
STANFORD_SSPLIT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
STANFORD_TOKENIZE - Static variable in interface edu.stanford.nlp.pipeline.Annotator
These are annotators which StanfordCoreNLP knows how to create.
STANFORD_TRUECASE - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
StanfordCoreNLP - Class in edu.stanford.nlp.pipeline
This is a pipeline that takes in a string and returns various analyzed linguistic forms.
StanfordCoreNLP() - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLP
Constructs a pipeline using as properties the properties file found in the classpath
StanfordCoreNLP(Properties) - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLP
Construct a basic pipeline.
StanfordCoreNLP(Properties, boolean) - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
StanfordCoreNLP(String) - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLP
Constructs a pipeline with the properties read from this file, which must be found in the classpath
StanfordCoreNLP(String, boolean) - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLP
 
stanfordProcessor - Variable in class edu.stanford.nlp.dcoref.MentionExtractor
 
StanfordRedwoodConfiguration - Class in edu.stanford.nlp.util.logging
 
start() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
start() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
start(int) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
start(String) - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
start(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
 
start(String) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
Returns the start index of the subsequence captured by the given group during this match.
start(double, double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
start(double, double[], double[]) - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
 
start - Variable in class edu.stanford.nlp.parser.common.ParserConstraint
 
start - Variable in class edu.stanford.nlp.parser.lexparser.Item
 
start - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
 
start() - Method in class edu.stanford.nlp.trees.Constituent
access start node.
start() - Method in class edu.stanford.nlp.trees.SimpleConstituent
access start node.
start() - Method in class edu.stanford.nlp.util.Timing
Start timer.
start(String, PrintStream) - Method in class edu.stanford.nlp.util.Timing
Start timer & print a message.
start(String) - Method in class edu.stanford.nlp.util.Timing
 
startDoing(String) - Static method in class edu.stanford.nlp.util.Timing
Print the start of timing message to stderr and start the timer.
startElement(String, String, String, Attributes) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
 
startEvaluateIters - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
startFold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
startIndex - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
Starting word number, indexed from 1
startIndex - Variable in class edu.stanford.nlp.dcoref.Mention
 
StartMatchAction(SequencePattern<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.StartMatchAction
 
startNode - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
 
startSymbol() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a String which is the first (perhaps unique) start symbol of the treebank, or null if none is defined.
startSymbol() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a String which is the first (perhaps unique) start symbol of the treebank, or null if none is defined.
startSymbolAcceptFilter() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return a filter that accepts a String that is a start symbol of the treebank, and rejects everything else.
startSymbolAcceptFilter() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return a filter that accepts a String that is a start symbol of the treebank, and rejects everything else.
startSymbols() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a String array of treebank start symbols.
startSymbols() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
Returns a String array of treebank start symbols.
startSymbols() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
Returns a String array of treebank start symbols.
startSymbols() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
startSymbols() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Returns a String array of treebank start symbols.
startSymbols() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
Returns a String array of treebank start symbols.
startSymbols() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
Returns a String array of treebank start symbols.
startSymbols() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
 
startSymbols() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Returns a String array of treebank start symbols.
startSymbols() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a String array of treebank start symbols.
startThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood
Start a multithreaded logging environment.
startThreads(String) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
startTime() - Static method in class edu.stanford.nlp.util.Timing
Start (static) timer.
startTrack(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood
Begin a "track;" that is, begin logging at one level deeper.
startTrack(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
state - Variable in class edu.stanford.nlp.classify.CrossValidator.SavedState
 
state - Variable in class edu.stanford.nlp.parser.common.ParserConstraint
 
state - Variable in class edu.stanford.nlp.parser.lexparser.Item
 
state(String, int) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
State - Class in edu.stanford.nlp.parser.shiftreduce
A class which encodes the current state of the parsing.
State(List<Tree>) - Constructor for class edu.stanford.nlp.parser.shiftreduce.State
Expects a list of preterminals.
State.HeadPosition - Enum in edu.stanford.nlp.parser.shiftreduce
Used to describe the relative location of separators to the head of a subtree
StateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StateAnnotation
 
stateChanged(ChangeEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
 
stateID() - Method in class edu.stanford.nlp.fsm.DFSAState
 
stateIndex - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
stateIndex - Variable in class edu.stanford.nlp.parser.lexparser.BinaryGrammarExtractor
 
stateIndex - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
stateIndex - Variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
stateIndex - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
states() - Method in class edu.stanford.nlp.fsm.DFSA
 
STATES_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
STATES_PROVINCES_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
statesAbbreviation - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
statesAndProvinces - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
statesReachable() - Method in class edu.stanford.nlp.fsm.DFSAState
 
STB_ENCODING - Static variable in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
 
STDERR - Static variable in class edu.stanford.nlp.util.logging.Redwood
 
STDERR - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
stderr - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Output to a standard error.
stdev(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
STDOUT - Static variable in class edu.stanford.nlp.util.logging.Redwood
 
STDOUT - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
stdout - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Output to a standard output.
stem(Word) - Method in class edu.stanford.nlp.process.Morphology
 
stem(String) - Method in class edu.stanford.nlp.process.Morphology
 
stem(CoreLabel) - Method in class edu.stanford.nlp.process.Morphology
Adds the LemmaAnnotation to the given CoreLabel.
stem(CoreLabel, Class<? extends CoreAnnotation<String>>) - Method in class edu.stanford.nlp.process.Morphology
Adds annotation ann to the given CoreLabel.
STEM_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
StemAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.StemAnnotation
 
stemStatic(String, String) - Static method in class edu.stanford.nlp.process.Morphology
Return a new WordTag which has the lemma as the value of word().
stemStatic(WordTag) - Static method in class edu.stanford.nlp.process.Morphology
Return a new WordTag which has the lemma as the value of word().
stemStaticSynchronized(String, String) - Static method in class edu.stanford.nlp.process.Morphology
 
stochasticBatchSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
StochasticCalculateMethods - Enum in edu.stanford.nlp.optimization
This enumeratin was created to organize the selection of different methods for stochastic calculations.
StochasticDiffFunctionTester - Class in edu.stanford.nlp.optimization
 
StochasticDiffFunctionTester(Function) - Constructor for class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
stochasticMethod - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
StochasticMinimizer<T extends Function> - Class in edu.stanford.nlp.optimization
Stochastic Gradient Descent Minimizer.
StochasticMinimizer() - Constructor for class edu.stanford.nlp.optimization.StochasticMinimizer
 
StochasticMinimizer.PropertySetter<T1> - Interface in edu.stanford.nlp.optimization
 
STOP - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
stop() - Static method in class edu.stanford.nlp.util.logging.Redwood
Stop Redwood, closing all tracks and prohibiting future log messages.
stop() - Method in class edu.stanford.nlp.util.Timing
Stop timer.
stop(String, PrintStream) - Method in class edu.stanford.nlp.util.Timing
Print elapsed time and stop timer.
stop(String) - Method in class edu.stanford.nlp.util.Timing
Print elapsed time to System.err and stop timer.
stop(String, PrintWriter) - Method in class edu.stanford.nlp.util.Timing
Print elapsed time and stop timer.
STOP_TAG_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
STOP_WORD_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
stopCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
stopTW - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
stopWords - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
stopWordsPatternFiles - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Words that are not learned.
storePatsForEachToken - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
str - Variable in class edu.stanford.nlp.parser.metrics.AbstractEval
 
StreamGobbler - Class in edu.stanford.nlp.util
Reads the output of a process started by Process.exec() Adapted from: http://www.velocityreviews.com/forums/t130884-process-runtimeexec-causes-subprocess-hang.html
StreamGobbler(InputStream, Writer) - Constructor for class edu.stanford.nlp.util.StreamGobbler
 
strictGoodCoNLL - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
StrictHeadMatch1 - Class in edu.stanford.nlp.dcoref.sievepasses
 
StrictHeadMatch1() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.StrictHeadMatch1
 
StrictHeadMatch2 - Class in edu.stanford.nlp.dcoref.sievepasses
 
StrictHeadMatch2() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.StrictHeadMatch2
 
StrictHeadMatch3 - Class in edu.stanford.nlp.dcoref.sievepasses
 
StrictHeadMatch3() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.StrictHeadMatch3
 
StrictHeadMatch4 - Class in edu.stanford.nlp.dcoref.sievepasses
 
StrictHeadMatch4() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.StrictHeadMatch4
 
strictlyFirstOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
strictlySecondOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
strictlyThirdOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
strictlyZeroethOrder - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
STRING_MATCH_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
STRING_REPLACE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
StringAnnotationPattern(String, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationPattern
 
StringAnnotationPattern(String) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationPattern
 
StringAnnotationRegexPattern(Pattern) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationRegexPattern
 
StringAnnotationRegexPattern(String, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationRegexPattern
 
stringAToByteArr(String) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
stringConverter - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
StringDictionary - Class in edu.stanford.nlp.ie.machinereading.common
 
StringDictionary(String) - Constructor for class edu.stanford.nlp.ie.machinereading.common.StringDictionary
 
StringDictionary.IndexAndCount - Class in edu.stanford.nlp.ie.machinereading.common
 
stringFromFile(String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns the contents of a file as a single string.
stringFromFile(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Returns the contents of a file as a single string.
StringFunction(String, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
 
StringFunction(String, int, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.StringFunction
 
StringInSetAnnotationPattern(Set<String>, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringInSetAnnotationPattern
 
StringInSetAnnotationPattern(Set<String>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringInSetAnnotationPattern
 
stringIntern(Pair<String, String>) - Static method in class edu.stanford.nlp.util.Pair
If first and second are Strings, then this returns an MutableInternedPair where the Strings have been interned, and if this Pair is serialized and then deserialized, first and second are interned upon deserialization.
StringLabel - Class in edu.stanford.nlp.ling
A StringLabel object acts as a Label by containing a single String, which it sets or returns in response to requests.
StringLabel() - Constructor for class edu.stanford.nlp.ling.StringLabel
Create a new StringLabel with a null content (i.e., str).
StringLabel(String) - Constructor for class edu.stanford.nlp.ling.StringLabel
Create a new StringLabel with the given content.
StringLabel(String, int, int) - Constructor for class edu.stanford.nlp.ling.StringLabel
Create a new StringLabel with the given content.
StringLabel(Label) - Constructor for class edu.stanford.nlp.ling.StringLabel
Create a new StringLabel with the value() of another label as its label.
StringLabeledScoredTreeReaderFactory - Class in edu.stanford.nlp.trees
This class implements a TreeReaderFactory that produces labeled, scored array-based Trees, which have been cleaned up to delete empties, etc.
StringLabeledScoredTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.StringLabeledScoredTreeReaderFactory
 
StringLabelFactory - Class in edu.stanford.nlp.ling
A StringLabelFactory object makes a simple StringLabel out of a String.
StringLabelFactory() - Constructor for class edu.stanford.nlp.ling.StringLabelFactory
 
StringList(List<String>) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.StringList
 
StringList(String[]) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.StringList
 
StringMatchedExpressionExtractor(MatchedExpression.SingleAnnotationExtractor, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchedExpressionExtractor
 
stringMatchResultExtractor - Variable in class edu.stanford.nlp.ling.tokensregex.Env
 
StringMatchResultExtractor(Env, Expression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchResultExtractor
 
StringMatchResultExtractor(Env, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringMatchResultExtractor
 
StringNumberValue(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
StringOutputStream - Class in edu.stanford.nlp.io
An OutputStream that can be turned into a String.
StringOutputStream() - Constructor for class edu.stanford.nlp.io.StringOutputStream
 
StringParsingTask<E> - Class in edu.stanford.nlp.util
An instantiation of this abstract class parses a String and returns an object of type E.
StringParsingTask(String) - Constructor for class edu.stanford.nlp.util.StringParsingTask
Constructs a new StringParsingTask from the specified String.
StringParsingTask.ParserException - Exception in edu.stanford.nlp.util
 
StringPatternExtractRule(Pattern, Function<MatchResult, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
 
StringPatternExtractRule(Env, String, Function<MatchResult, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
 
StringPatternExtractRule(String, Function<MatchResult, O>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
 
StringPatternExtractRule(Env, String, Function<MatchResult, O>, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.StringPatternExtractRule
 
StringRegex(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
StringSequenceAnnotationPattern(Class, Set<List<String>>, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
 
StringSequenceAnnotationPattern(Class, Set<List<String>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
 
StringSequenceAnnotationPattern(Class, Map<List<String>, Object>, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
 
StringSequenceAnnotationPattern(Class, Map<List<String>, Object>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
 
StringStringConverter() - Constructor for class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.StringStringConverter
 
stringTagsAt(int) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
 
StringToIOB(List<CoreLabel>, Character, boolean) - Static method in class edu.stanford.nlp.international.arabic.process.IOBUtils
Convert a String to a list of characters suitable for labeling in an IOB segmentation model.
StringToIOB(List<CoreLabel>, Character, boolean, boolean) - Static method in class edu.stanford.nlp.international.arabic.process.IOBUtils
Convert a String to a list of characters suitable for labeling in an IOB segmentation model.
StringToIOB(String) - Static method in class edu.stanford.nlp.international.arabic.process.IOBUtils
This version is for turning an unsegmented string to an IOB input, i.e., for processing raw text.
StringToIOB(String, Character) - Static method in class edu.stanford.nlp.international.arabic.process.IOBUtils
 
stringToNewlineIsSentenceBreak(String) - Static method in class edu.stanford.nlp.process.WordToSentenceProcessor
 
stringToParses(String) - Method in class edu.stanford.nlp.parser.charniak.CharniakScoredParsesReaderWriter
Convert string representing scored parses (in the charniak parser output format) to list of scored parse trees
stringToProperties(String) - Static method in class edu.stanford.nlp.util.StringUtils
This method converts a comma-separated String (with whitespace optionally allowed after the comma) representing properties to a Properties object.
stringToProperties(String, Properties) - Static method in class edu.stanford.nlp.util.StringUtils
This method updates a Properties object based on a comma-separated String (with whitespace optionally allowed after the comma) representing properties to a Properties object.
stringToSet(String, String) - Static method in class edu.stanford.nlp.util.StringUtils
 
StringUtils - Class in edu.stanford.nlp.util
StringUtils is a class for random String things, including output formatting and command line argument parsing.
stringUToByteArr(String) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
stringWithoutArticle(String) - Method in class edu.stanford.nlp.dcoref.Mention
 
stripEmptyNode(Tree) - Static method in class edu.stanford.nlp.trees.DependencyTreeTransformer
 
stripGF(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
 
stripGF(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
 
stripGF(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
 
stripGF(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns the category for a String with everything following the gf character (which may be language specific) stripped.
stripNonAlphaNumerics(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
stripSGML(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
stripTag(Tree) - Method in class edu.stanford.nlp.trees.DependencyTreeTransformer
 
stripTags(Reader, List<Integer>, boolean) - Static method in class edu.stanford.nlp.util.XMLUtils
 
StripTagsProcessor<L,F> - Class in edu.stanford.nlp.process
A Processor whose process method deletes all SGML/XML/HTML tags (tokens starting with < and ending with >.
StripTagsProcessor() - Constructor for class edu.stanford.nlp.process.StripTagsProcessor
Constructs a new StripTagsProcessor that doesn't mark line breaks.
StripTagsProcessor(boolean) - Constructor for class edu.stanford.nlp.process.StripTagsProcessor
Constructs a new StripTagProcessor that marks line breaks as specified.
stripVerb(String) - Method in class edu.stanford.nlp.international.spanish.SpanishVerbStripper
Remove attached pronouns from a strippable Spanish verb form.
strToFeatures(String) - Method in class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
Hand-written rules to convert SAMA analyses to feature structures.
strToFeatures(String) - Method in class edu.stanford.nlp.international.french.FrenchMorphoFeatureSpecification
 
strToFeatures(String) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
style(StringBuilder, String, Color, Style) - Method in class edu.stanford.nlp.util.logging.OutputHandler
Style a particular String segment, according to a color and style
Style - Enum in edu.stanford.nlp.util.logging
ANSI supported styles (rather, a subset of) These values are mirrored in Redwood.Util
styleChannel(String, Style) - Method in class edu.stanford.nlp.util.logging.OutputHandler
Style the tag for a particular channel this style
subArray(int[], int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
 
subArray(Object[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
SubcategorizationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.SubcategorizationAnnotation
 
subcategoryStripper() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns a TreeTransformer appropriate to the Treebank which can be used to remove functional tags (such as "-TMP") from categories.
SubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.SubcategoryStripper
 
subcategoryStripper() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
Returns a TreeTransformer that retains categories according to the following options supported by setOptionFlag:
subcategoryStripper() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
Returns a TreeTransformer appropriate to the Treebank which can be used to remove functional tags (such as "-TMP") from categories.
subcategoryStripper() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Returns a TreeTransformer appropriate to the Treebank which can be used to remove functional tags (such as "-TMP") from categories.
subCWGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
SUBJECT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "subject" grammatical relation.
SUBJECT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "subject" (subj) grammatical relation (abstract).
subList(int, int) - Method in class edu.stanford.nlp.trees.MemoryTreebank
 
subState - Variable in class edu.stanford.nlp.parser.lexparser.Hook
 
substChars - Variable in class edu.stanford.nlp.process.PTBEscapingProcessor
 
substituteCost(Object, Object) - Method in class edu.stanford.nlp.util.EditDistance
 
subsumes(SurfacePattern, SurfacePattern) - Static method in class edu.stanford.nlp.patterns.surface.SurfacePattern
True p1 subsumes p2 (p1 has longer context than p2)
subsumesArray(Object[], Object[]) - Static method in class edu.stanford.nlp.patterns.surface.SurfacePattern
True if array1 contains array2.
subsumesEitherWay(SurfacePattern, SurfacePattern) - Static method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
subtract(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
 
subtract(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Range
 
subtract(SUTime.Duration, int) - Method in class edu.stanford.nlp.time.SUTime.Range
 
subtract(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Time
 
SUBTRACT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
subtractAll(IntCounter<E>) - Method in class edu.stanford.nlp.stats.IntCounter
Subtracts the counts in the given Counter from the counts in this Counter.
subtractAll(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
subtractAll(TwoDimensionalCounterInterface<K1, K2>, boolean) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
subtractAll(K1, IntCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
subtractAll(TwoDimensionalIntCounter<K1, K2>, boolean) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
subtractInPlace(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Sets each value of target to be target[k]-arg[k] for all keys k in target.
subtractInPlace(double[], Counter<E>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
Sets each value of double[] target to be target[idx.indexOf(k)]-a.getCount(k) for all keys k in arg
subTreeList() - Method in class edu.stanford.nlp.trees.Tree
Get the list of all subtrees inside the tree by returning a tree rooted at each node.
subTrees() - Method in class edu.stanford.nlp.trees.Tree
Get the set of all subtrees inside the tree by returning a tree rooted at each node.
subTrees(T) - Method in class edu.stanford.nlp.trees.Tree
Add the set of all subtrees inside a tree (including the tree itself) to the given Collection.
subType - Variable in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
Subtype, if available, e.g., GPE.CITY
successorStates() - Method in class edu.stanford.nlp.fsm.DFSAState
 
sum(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the sum of an array of numbers.
sum(double[], int, int) - Static method in class edu.stanford.nlp.math.ArrayMath
Returns the sum of the portion of an array of numbers between fromIndex, inclusive, and toIndex, exclusive.
sum(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sum(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sum(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sum - Variable in class edu.stanford.nlp.maxent.Feature
 
SUM - Static variable in class edu.stanford.nlp.pipeline.CoreMapAttributeAggregator
 
sum(String) - Method in class edu.stanford.nlp.tagger.maxent.Dictionary
 
sumEntries(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
sumInnerCounter() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
Returns the counters with keys as the first key and count as the total count of the inner counter for that key
summaryStatistics() - Method in class edu.stanford.nlp.classify.Dataset
Prints some summary statistics to stderr for the Dataset.
summaryStatistics() - Method in class edu.stanford.nlp.classify.GeneralDataset
Print some statistics summarizing the dataset
summaryStatistics() - Method in class edu.stanford.nlp.classify.RVFDataset
Prints some summary statistics to stderr for the Dataset.
SUMMER - Static variable in class edu.stanford.nlp.time.SUTime
 
SUMMER_SOLSTICE - Static variable in class edu.stanford.nlp.time.SUTime
 
sumOutEnd() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
sumOutEnd() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
sumOutFront() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
sumOutFront() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
sumSquared(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sumSquaredError(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
sumSquares(C) - Static method in class edu.stanford.nlp.stats.Counters
Return the sum of squares (squared L2 norm).
SUNDAY - Static variable in class edu.stanford.nlp.time.SUTime
 
SunJurafskyChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese
A headfinder for Chinese based on rules described in Sun/Jurafsky NAACL '04.
SunJurafskyChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.SunJurafskyChineseHeadFinder
 
SunJurafskyChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.SunJurafskyChineseHeadFinder
 
sunJurafskyHeadFinder - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
SUNRISE - Static variable in class edu.stanford.nlp.time.SUTime
 
SUNSET - Static variable in class edu.stanford.nlp.time.SUTime
 
superPaint(Graphics) - Method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
supFileCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
supFileEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
SUPPCUTOFF - Static variable in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
Minimum support of parent annotated node for grandparent to be studied.
SUPPCUTOFF - Static variable in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
Minimum support of parent annotated node for grandparent to be studied.
SUPPORTED_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.RegexNERAnnotator
 
SUPPORTED_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
 
supportedFonts(int) - Static method in class edu.stanford.nlp.swing.FontDetector
Returns which Fonts on the system can display the sample string.
supportsAnsi() - Method in class edu.stanford.nlp.util.logging.OutputHandler
Specify whether this output handler supports ansi output
supportsAnsi() - Method in class edu.stanford.nlp.util.logging.Redwood.ConsoleHandler
 
supportsAnsi - Static variable in class edu.stanford.nlp.util.logging.Redwood
 
supportsBasicDependencies() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
By default, parsers are assumed to not support dependencies.
supportsBasicDependencies() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
supportsBasicDependencies() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
supportsBasicDependencies() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
 
supportsGrammaticalStructures() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
 
supportsGrammaticalStructures() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
supportsGrammaticalStructures() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
 
supportsGrammaticalStructures() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Whether or not we have typed dependencies for this language.
suppressBuckDigitConversion(boolean) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
 
suppressBuckPunctConversion(boolean) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
 
suppressMidDotPostprocessing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
suppressTerminalDetails - Static variable in class edu.stanford.nlp.ling.CategoryWordTag
If set to true, when a terminal or preterminal has as its category something that is also the word or tag value, the latter are suppressed.
suppressTestDebug - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
suppressTestPrompt(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
suppressTestPrompt(boolean) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
SurfacePattern - Class in edu.stanford.nlp.patterns.surface
To represent a surface pattern in more detail than TokenSequencePattern (this class object is eventually compiled as TokenSequencePattern via the toString method).
SurfacePattern(Token[], PatternToken, Token[], SurfacePattern.Genre) - Constructor for class edu.stanford.nlp.patterns.surface.SurfacePattern
 
SurfacePattern.Genre - Enum in edu.stanford.nlp.patterns.surface
 
SurpriseConvergence(String) - Constructor for class edu.stanford.nlp.optimization.QNMinimizer.SurpriseConvergence
 
SUTime - Class in edu.stanford.nlp.time
SUTime is a collection of data structures to represent various temporal concepts and operations between them.
SUTime.CompositePartialTime - Class in edu.stanford.nlp.time
 
SUTime.Duration - Class in edu.stanford.nlp.time
A Duration represents a period of time (without endpoints)
We have 3 types of durations: DurationWithFields - corresponds to JodaTime Period, where we have fields like hours, weeks, etc DurationWithMillis - corresponds to JodaTime Duration, where the duration is specified in millis this gets rid of certain ambiguities such as a month with can be 28, 30, or 31 days InexactDuration - duration that is under determined (like a few days)
SUTime.DurationRange - Class in edu.stanford.nlp.time
A range of durations.
SUTime.DurationWithFields - Class in edu.stanford.nlp.time
Duration that is specified using fields such as milliseconds, days, etc.
SUTime.DurationWithMillis - Class in edu.stanford.nlp.time
Duration specified in terms of milliseconds
SUTime.ExplicitTemporalSet - Class in edu.stanford.nlp.time
Explicit set of times: like tomorrow and next week, not really used
SUTime.GroundedTime - Class in edu.stanford.nlp.time
 
SUTime.InexactDuration - Class in edu.stanford.nlp.time
Duration that is inexact.
SUTime.InexactTime - Class in edu.stanford.nlp.time
Inexact time, not sure when this is, but have some guesses
SUTime.IsoDate - Class in edu.stanford.nlp.time
 
SUTime.IsoDateTime - Class in edu.stanford.nlp.time
 
SUTime.IsoTime - Class in edu.stanford.nlp.time
 
SUTime.OrdinalTime - Class in edu.stanford.nlp.time
 
SUTime.PartialTime - Class in edu.stanford.nlp.time
 
SUTime.PeriodicTemporalSet - Class in edu.stanford.nlp.time
PeriodicTemporalSet represent a set of times that occurs with some frequency.
SUTime.Range - Class in edu.stanford.nlp.time
A time interval
SUTime.RefTime - Class in edu.stanford.nlp.time
Reference time (some kind of reference time).
SUTime.RelativeTime - Class in edu.stanford.nlp.time
 
SUTime.SimpleTime - Class in edu.stanford.nlp.time
Simple time (vague time that we don't really know what to do with)
SUTime.StandardTemporalType - Enum in edu.stanford.nlp.time
 
SUTime.Temporal - Class in edu.stanford.nlp.time
Basic temporal object
SUTime.TemporalOp - Enum in edu.stanford.nlp.time
 
SUTime.TemporalSet - Class in edu.stanford.nlp.time
Exciting set of times
SUTime.Time - Class in edu.stanford.nlp.time
Time represents a time point on some time scale.
SUTime.TimeIndex - Class in edu.stanford.nlp.time
 
SUTime.TimeUnit - Enum in edu.stanford.nlp.time
 
SUTime.TimeWithRange - Class in edu.stanford.nlp.time
 
SUTime.TimexAttr - Enum in edu.stanford.nlp.time
 
SUTime.TimexDocFunc - Enum in edu.stanford.nlp.time
 
SUTime.TimexMod - Enum in edu.stanford.nlp.time
 
SUTime.TimexType - Enum in edu.stanford.nlp.time
 
SUTIME_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
SUTimeMain - Class in edu.stanford.nlp.time
Main program for testing SUTime
Processing a text string:
SVMLightClassifier<L,F> - Class in edu.stanford.nlp.classify
This class represents a trained SVM Classifier.
SVMLightClassifier(ClassicCounter<Pair<F, L>>, ClassicCounter<L>) - Constructor for class edu.stanford.nlp.classify.SVMLightClassifier
 
SVMLightClassifier(ClassicCounter<Pair<F, L>>, ClassicCounter<L>, LinearClassifier<L, L>) - Constructor for class edu.stanford.nlp.classify.SVMLightClassifier
 
SVMLightClassifierFactory<L,F> - Class in edu.stanford.nlp.classify
This class is meant for training SVMs (SVMLightClassifiers).
SVMLightClassifierFactory(String, String) - Constructor for class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
SVMLightClassifierFactory() - Constructor for class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
svmLightLineToDatum(String) - Static method in class edu.stanford.nlp.classify.Dataset
 
svmLightLineToRVFDatum(String) - Static method in class edu.stanford.nlp.classify.RVFDataset
 
svmModelFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
swaps - Variable in class edu.stanford.nlp.util.MemoryMonitor
 
switchedFilter(Predicate<E>, boolean) - Static method in class edu.stanford.nlp.util.Filters
Filter that's either negated or normal as specified.
symbolCounter - Variable in class edu.stanford.nlp.parser.lexparser.BinaryGrammarExtractor
 
symmetricDiff(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
Returns the symmetric difference of sets s1 and s2 (i.e.
SynchronizedInterner<T> - Class in edu.stanford.nlp.util.concurrent
For interning (canonicalizing) things in a multi-threaded environment.
SynchronizedInterner(Interner<T>) - Constructor for class edu.stanford.nlp.util.concurrent.SynchronizedInterner
 
SynchronizedInterner(Interner<T>, Object) - Constructor for class edu.stanford.nlp.util.concurrent.SynchronizedInterner
 
SynchronizedTreeTransformer - Class in edu.stanford.nlp.trees
If you have a TreeTransformer which is not threadsafe, and you need to call it from multiple threads, this will wrap it in a synchronized manner.
SynchronizedTreeTransformer(TreeTransformer) - Constructor for class edu.stanford.nlp.trees.SynchronizedTreeTransformer
 
synsets - Variable in class edu.stanford.nlp.dcoref.Mention
 
systemIsSwapping() - Method in class edu.stanford.nlp.util.MemoryMonitor
 
SystemUtils - Class in edu.stanford.nlp.util
Useful methods for running shell commands, getting the process ID, checking memory usage, etc.
SystemUtils() - Constructor for class edu.stanford.nlp.util.SystemUtils
 
SystemUtils.ProcessException - Exception in edu.stanford.nlp.util
Runtime exception thrown by execute.
SystemUtils.ProcessOutputStream - Class in edu.stanford.nlp.util
Helper class that acts as a output stream to a process

T

t0 - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
tab - Variable in class edu.stanford.nlp.util.logging.OutputHandler
The tab character
tag - Variable in class edu.stanford.nlp.ling.CategoryWordTag
 
tag() - Method in class edu.stanford.nlp.ling.CategoryWordTag
 
tag() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the tag value of the label (or null if none).
tag() - Method in interface edu.stanford.nlp.ling.HasTag
Return the tag value of the label (or null if none).
tag() - Method in class edu.stanford.nlp.ling.IndexedWord
 
tag() - Method in class edu.stanford.nlp.ling.LabeledWord
 
tag - Variable in class edu.stanford.nlp.ling.MultiTokenTag
 
Tag(String, String, int) - Constructor for class edu.stanford.nlp.ling.MultiTokenTag.Tag
 
tag - Variable in class edu.stanford.nlp.ling.MultiTokenTag.Tag
 
Tag - Class in edu.stanford.nlp.ling
A Tag object acts as a Label by containing a String that is a part-of-speech tag.
Tag() - Constructor for class edu.stanford.nlp.ling.Tag
Constructs a Tag object.
Tag(String) - Constructor for class edu.stanford.nlp.ling.Tag
Constructs a Tag object.
Tag(Label) - Constructor for class edu.stanford.nlp.ling.Tag
Creates a new tag whose tag value is the value of any class that supports the Label interface.
tag() - Method in class edu.stanford.nlp.ling.Tag
 
tag() - Method in class edu.stanford.nlp.ling.TaggedWord
 
tag() - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
tag() - Method in class edu.stanford.nlp.ling.WordTag
 
tag - Variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
tag() - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
tag - Variable in class edu.stanford.nlp.parser.lexparser.Item
 
tag - Variable in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier.LabelTagType
 
TAG_COLUMN - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
TAG_INSIDE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TAG_LABEL - Static variable in class edu.stanford.nlp.ling.TaggedWordFactory
 
TAG_LABEL - Static variable in class edu.stanford.nlp.ling.WordLemmaTagFactory
 
TAG_SEPARATOR - Static variable in class edu.stanford.nlp.ling.CoreLabel
Tag separator to use by default
TAG_SEPARATOR - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
TAG_SEPARATOR - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TAG_SEPARATOR_PROPERTY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
tagAndOutputSentence(List<? extends HasWord>, boolean, Morphology, PlainTextDocumentReaderAndWriter.OutputStyle, boolean, int, String, Writer) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
tagBin - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
tagBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
tagBin(int) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
Converts a tag (coded as an integer via a Numberer) from its representation in the full tag space to the reduced (projected) tag space used in the DependencyGrammar.
tagCoreLabels(List<CoreLabel>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Takes a sentence composed of CoreLabels and add the tags to the CoreLabels, modifying the input sentence.
tagCoreLabels(List<CoreLabel>, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Takes a sentence composed of CoreLabels and add the tags to the CoreLabels, modifying the input sentence.
tagCoreLabelsOrHasWords(List<? extends HasWord>, Morphology, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
tagFromXML(InputStream, Writer, String...) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Uses an XML transformer to turn an input stream into a bunch of output.
tagFromXML(Reader, Writer, String...) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
TaggedFileReader - Interface in edu.stanford.nlp.tagger.io
 
TaggedFileRecord - Class in edu.stanford.nlp.tagger.io
Parses and specifies all the details for how to read some POS tagging data.
TaggedFileRecord.Format - Enum in edu.stanford.nlp.tagger.io
 
taggedFiles - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
A set of files to use as extra information in the lexicon.
taggedLabeledYield() - Method in class edu.stanford.nlp.trees.Tree
 
taggedLeafLabels(Tree) - Static method in class edu.stanford.nlp.trees.Trees
returns the labels of the leaves in a Tree, augmented with POS tags.
taggedStringFromTree(Tree, boolean, String) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
Converts a parse tree into a string of tokens.
TaggedWord - Class in edu.stanford.nlp.ling
A TaggedWord object contains a word and its tag.
TaggedWord() - Constructor for class edu.stanford.nlp.ling.TaggedWord
Create a new TaggedWord.
TaggedWord(String) - Constructor for class edu.stanford.nlp.ling.TaggedWord
Create a new TaggedWord.
TaggedWord(String, String) - Constructor for class edu.stanford.nlp.ling.TaggedWord
Create a new TaggedWord.
TaggedWord(Label) - Constructor for class edu.stanford.nlp.ling.TaggedWord
Create a new TaggedWord.
TaggedWord(Label, Label) - Constructor for class edu.stanford.nlp.ling.TaggedWord
Create a new TaggedWord.
TaggedWordFactory - Class in edu.stanford.nlp.ling
A TaggedWordFactory acts as a factory for creating objects of class TaggedWord.
TaggedWordFactory() - Constructor for class edu.stanford.nlp.ling.TaggedWordFactory
Create a new TaggedWordFactory.
TaggedWordFactory(char) - Constructor for class edu.stanford.nlp.ling.TaggedWordFactory
Create a new TaggedWordFactory.
taggedWordList - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
taggedYield() - Method in class edu.stanford.nlp.trees.Tree
Gets the tagged yield of the tree.
taggedYield(X) - Method in class edu.stanford.nlp.trees.Tree
Gets the tagged yield of the tree -- that is, get the preterminals as well as the terminals.
tagger - Variable in class edu.stanford.nlp.parser.lexparser.EvaluateTreebank
The tagger optionally used before parsing.
tagger - Variable in class edu.stanford.nlp.parser.nndep.Config
Path to a tagger file compatible with MaxentTagger.
Tagger - Class in edu.stanford.nlp.tagger.common
This module includes constants that are the same for all taggers, as opposed to being part of their configurations.
Tagger() - Constructor for class edu.stanford.nlp.tagger.common.Tagger
 
TAGGER_HOME - Static variable in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
TaggerConfig - Class in edu.stanford.nlp.tagger.maxent
Reads and stores configuration information for a POS tagger.
TaggerConfig(TaggerConfig) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerConfig
We force you to pass in a TaggerConfig rather than any other superclass so that we know the arg error checking has already occurred
TaggerConfig(String...) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TaggerConfig(Properties) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TaggerConfig.Mode - Enum in edu.stanford.nlp.tagger.maxent
 
TaggerExperiments - Class in edu.stanford.nlp.tagger.maxent
This class represents the training samples.
TaggerExperiments(TaggerConfig, MaxentTagger) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerExperiments
This method gets feature statistics from a training file found in the TaggerConfig.
TaggerFeature - Class in edu.stanford.nlp.tagger.maxent
Holds a Tagger Feature for the loglinear model.
TaggerFeature(int, int, FeatureKey, int, TaggerExperiments) - Constructor for class edu.stanford.nlp.tagger.maxent.TaggerFeature
 
TaggerFeatures - Class in edu.stanford.nlp.tagger.maxent
This class contains POS tagger specific features.
taggerSerializedFile - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
POS tagger model used when preTag is enabled.
TaggingEval - Class in edu.stanford.nlp.parser.metrics
Computes POS tagging P/R/F1 from guess/gold trees.
TaggingEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.TaggingEval
 
TaggingEval(String, boolean, Lexicon) - Constructor for class edu.stanford.nlp.parser.metrics.TaggingEval
 
tagHash - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
This maps from a tag (as a label) to a Counter from word signatures to their P(sig|tag), as estimated in the model.
tagId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
tagIndex - Variable in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
tagIndex - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
 
tagITWList - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
The indices of this list are in the tag binned space.
TagLabelAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TagLabelAnnotation
 
tagPA - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Parent annotation on tags.
tagProjection - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
TagProjection - Interface in edu.stanford.nlp.parser.lexparser
An interface for projecting POS tags onto a reduced set for the dependency grammar.
tagRBGPA - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Grand parent annotate RB to try to distinguish sentential ones and ones in places like NP post modifier (things like 'very' are already distinguished as their parent is ADJP).
Tags - Class in edu.stanford.nlp.ling.tokensregex.types
Tags that can be added to values or annotations
Tags(String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Tags
 
tags - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Set of all tags as IntTaggedWord.
tags - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
Tags.TagsAnnotation - Class in edu.stanford.nlp.ling.tokensregex.types
 
TAGS_VALUE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
TagsAnnotation() - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Tags.TagsAnnotation
 
tagSelectivePostSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
tagSelectivePostSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
tagSelectiveSplit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Do parent annotation on tags selectively.
tagSelectiveSplitCutOff - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
tagSentence(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Returns a new Sentence that is a copy of the given sentence with all the words tagged with their part-of-speech.
tagSentence(List<? extends HasWord>, boolean) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Returns a new Sentence that is a copy of the given sentence with all the words tagged with their part-of-speech.
tagSentence(List<? extends HasWord>, boolean) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
Tags the sentence s by running maxent model.
tagSeparator - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
tagSet(Function<String, String>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Return the Set of tags used by this tagger (available after training the tagger).
tagSet(Function<String, String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
Return the Set of tags used by this tagger (available after training the tagger).
tagSet(Function<String, String>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
Return the Set of tags used by this tagger (available after training the tagger).
tagSet(Function<String, String>) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Return the Set of tags used by this tagger (available after training the tagger).
tagSet() - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
 
tagSet() - Method in class edu.stanford.nlp.tagger.maxent.TTags
Return the Set of tags used by this tagger (available after training the tagger).
tagSet - Variable in class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
 
tagString(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
tagString(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Tags the input string and returns the tagged version.
tagTokenizedString(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Tags the tokenized input string and returns the tagged version.
tagWordSize - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Annotate tags for number of characters contained.
tail(File, int, String) - Static method in class edu.stanford.nlp.io.IOUtils
A Java implementation of the Unix tail functionality.
tail(File, int) - Static method in class edu.stanford.nlp.io.IOUtils
 
take(T[], int) - Static method in class edu.stanford.nlp.util.Iterables
Returns a shortened view of an iterator.
take(Iterable<T>, int) - Static method in class edu.stanford.nlp.util.Iterables
Returns a shortened view of an iterator.
takeAdaGradientStep(Classifier.Cost, double, double) - Method in class edu.stanford.nlp.parser.nndep.Classifier
Update classifier weights using the given training cost information.
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.SQNMinimizer
 
takeStep(AbstractStochasticCachingDiffFunction) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
tallyInternalNode(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
tallyInternalNode(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammarExtractor
 
tallyLeaf(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
tallyLocalTree(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
tallyOneEntityIOB(List<? extends CoreMap>, int, Class<? extends CoreAnnotation<String>>, Class<? extends CoreAnnotation<String>>, Counter<String>, Counter<String>, String) - Static method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
tallyPreTerminal(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
tallyRoot(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
tallyRoot(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
 
tallyTree(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
tallyTreeIterator(Iterator<Tree>, Function<Tree, Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
tallyTrees(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
 
target - Variable in class edu.stanford.nlp.fsm.DFSATransition
 
target() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
targetAllowedNERs - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Allowed NERs for labels.
targetAllowedTagsInitialsStr - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Initials of all POS tags to use if usePOS4Pattern is true, separated by comma.
targetBG() - Method in interface edu.stanford.nlp.parser.lexparser.GrammarProjection
 
targetUG() - Method in interface edu.stanford.nlp.parser.lexparser.GrammarProjection
 
Tdiff - Class in edu.stanford.nlp.trees.tregex.gui
Extracts the differences between the sets of constituents indicated by a pair of parse trees.
TEATIME - Static variable in class edu.stanford.nlp.time.SUTime
 
TeeStream - Class in edu.stanford.nlp.io
This class splits the calls to an OutputStream into two different streams.
TeeStream(OutputStream, OutputStream) - Constructor for class edu.stanford.nlp.io.TeeStream
 
tempEdge - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
tempHook - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
TemplateHash - Class in edu.stanford.nlp.tagger.maxent
 
TemplateHash(MaxentTagger) - Constructor for class edu.stanford.nlp.tagger.maxent.TemplateHash
 
Temporal() - Constructor for class edu.stanford.nlp.time.SUTime.Temporal
 
Temporal(SUTime.Temporal) - Constructor for class edu.stanford.nlp.time.SUTime.Temporal
 
TEMPORAL_9 - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_ACL03PCFG - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_ALL_NP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_ALL_NP_AND_PP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_ALL_NP_EVEN_UNDER_PP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_ALL_NP_PP_ADVP - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_ALL_TERMINALS - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_ANY_TMP_PERCOLATED - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "temporal modifier" grammatical relation.
TEMPORAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "temporal modifier" grammatical relation.
TEMPORAL_NONE - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
TEMPORAL_NP_AND_PP_WITH_NP_HEAD - Static variable in class edu.stanford.nlp.trees.NPTmpRetainingTreeNormalizer
 
temporals - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
TemporalSet() - Constructor for class edu.stanford.nlp.time.SUTime.TemporalSet
 
TemporalSet(SUTime.TemporalSet) - Constructor for class edu.stanford.nlp.time.SUTime.TemporalSet
 
terminateOnAverageImprovement(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
terminateOnAvgImprovement(boolean, double) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
terminateOnAvgImprovement - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
terminateOnEvalImprovement(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
terminateOnEvalImprovement(boolean) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
terminateOnEvalImprovement - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
terminateOnEvalImprovementNumOfEpoch - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
terminateOnMaxItr(int) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
terminateOnNumericalZero(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
terminateOnRelativeNorm(boolean) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
test(T) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
 
test(MatchedExpression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationMatchedFilter
 
test(Tree) - Method in class edu.stanford.nlp.parser.dvparser.FilterConfusingRules
 
test(Tree) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer.AOverAFilter
Doesn't accept nodes that are A over A nodes (perhaps due to empty removal or are EDITED nodes).
test(Tree) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer.EmptyFilter
Doesn't accept nodes that only cover an empty.
test(Dependency<G, D, N>) - Method in class edu.stanford.nlp.trees.Dependencies.DependentPuncTagRejectFilter
 
test(Dependency<G, D, N>) - Method in class edu.stanford.nlp.trees.Dependencies.DependentPuncWordRejectFilter
 
test(Tree) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer.ArabicEmptyFilter
 
test(Tree) - Method in class edu.stanford.nlp.trees.international.french.FrenchTreeNormalizer.FrenchAOverAFilter
Doesn't accept nodes that are A over A nodes (perhaps due to empty removal or are EDITED nodes).
test(Tree) - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeNormalizer.HebrewEmptyFilter
 
test(Tree) - Method in class edu.stanford.nlp.trees.LengthTreeFilter
 
test(Tree) - Method in class edu.stanford.nlp.trees.TreeFilters.HasMatchingChild
 
test(String) - Method in class edu.stanford.nlp.util.ArrayStringFilter
 
test(T) - Method in class edu.stanford.nlp.util.Filters.ConjFilter
 
test(T) - Method in class edu.stanford.nlp.util.Filters.DisjFilter
 
test(E) - Method in class edu.stanford.nlp.util.Filters.RandomFilter
 
test(String) - Method in class edu.stanford.nlp.util.RegexStringFilter
 
testBatchSize - Variable in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
TestClassifier - Class in edu.stanford.nlp.tagger.maxent
Tags data and can handle either data with gold-standard tags (computing performance statistics) or unlabeled data.
TestClassifier(MaxentTagger) - Constructor for class edu.stanford.nlp.tagger.maxent.TestClassifier
 
TestClassifier(MaxentTagger, String) - Constructor for class edu.stanford.nlp.tagger.maxent.TestClassifier
 
testConditionNumber(int) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
testCoNLL(String, String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
Run the parser in the modelFile on a testFile and perhaps save output.
testConvergence(TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
testDerivatives(double[], double) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
This function tests to make sure that the sum of the stochastic calculated gradients is equal to the full gradient.
testDirs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testEventsUsingPredictedEntities - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
testFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testFileCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testFileEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testGraphPaths(TransducerGraph, TransducerGraph, int) - Static method in class edu.stanford.nlp.fsm.TransducerGraph
 
testHessSamples - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testingThreads - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Number of threads to use at test time.
testMemoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
You can often return the same thing for testMemoryTreebank as for memoryTreebank
testMemoryTreebank() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
returns a MemoryTreebank appropriate to the testing treebank source
testMemoryTreebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
returns a MemoryTreebank appropriate to the testing treebank source
testObjFunction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
testOnTreebank(Treebank) - Method in class edu.stanford.nlp.parser.lexparser.EvaluateTreebank
Test the parser on a treebank.
testOptions - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
testOptions - Variable in class edu.stanford.nlp.parser.lexparser.Options
Note that the TestOptions is transient.
TestOptions - Class in edu.stanford.nlp.parser.lexparser
Options to the parser which affect performance only at testing (parsing) time.
TestOptions() - Constructor for class edu.stanford.nlp.parser.lexparser.TestOptions
 
testOptions - Variable in class edu.stanford.nlp.sentiment.RNNOptions
 
testPath - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
testRelationsUsingPredictedEntities - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
TestSentence - Class in edu.stanford.nlp.tagger.maxent
 
TestSentence(MaxentTagger) - Constructor for class edu.stanford.nlp.tagger.maxent.TestSentence
 
TestSequenceModel - Class in edu.stanford.nlp.ie.crf
For sequence model inference at test-time.
TestSequenceModel(CRFCliqueTree<? extends CharSequence>) - Constructor for class edu.stanford.nlp.ie.crf.TestSequenceModel
 
TestSequenceModel(CRFCliqueTree<? extends CharSequence>, LabelDictionary, List<? extends CoreMap>) - Constructor for class edu.stanford.nlp.ie.crf.TestSequenceModel
 
testSumOfBatches(double[], double) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
This function tests to make sure that the sum of the stochastic calculated gradients is equal to the full gradient.
testVariance(double[]) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
testVariance - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
text - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
Text representing the matched expression
text - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
 
text() - Method in class edu.stanford.nlp.time.Timex
 
text - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
TEXT_ATTR_EQUAL_CHECKER - Static variable in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
TEXT_PATTERN_EXTRACT_RULE_CREATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
TEXT_PATTERN_RULE_TYPE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
TEXT_SERIALIZATION_DELIMITER - Static variable in class edu.stanford.nlp.classify.LinearClassifier
 
TextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation
 
textEquals(EntityMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
Compares the text spans of the two entity mentions.
textFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
textFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
TextOutputter - Class in edu.stanford.nlp.pipeline
 
TextOutputter() - Constructor for class edu.stanford.nlp.pipeline.TextOutputter
 
TextPatternExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TextPatternExtractRuleCreator
 
TextTaggedFileReader - Class in edu.stanford.nlp.tagger.io
 
TextTaggedFileReader(TaggedFileRecord) - Constructor for class edu.stanford.nlp.tagger.io.TextTaggedFileReader
 
textToAnnotatedXml(AnnotationPipeline, String, String) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
textToAnnotation(AnnotationPipeline, String, String) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
textToBeTransformed - Variable in class edu.stanford.nlp.process.TransformXML.SAXInterface
 
textualSummary() - Method in class edu.stanford.nlp.trees.Treebank
Return various statistics about the treebank (number of sentences, words, tag set, etc.).
textualSummary(TreebankLanguagePack) - Method in class edu.stanford.nlp.trees.Treebank
Return various statistics about the treebank (number of sentences, words, tag set, etc.).
tf - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.RemoveGFSubcategoryStripper
 
tf - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.SubcategoryStripper
 
tf - Variable in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams.ArabicSubcategoryStripper
 
tf - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
tf - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishSubcategoryStripper
 
tf - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
tf - Variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
 
tfLogScale(C, double) - Static method in class edu.stanford.nlp.stats.Counters
Returns a new Counter which is the input counter with log tf scaling
tg - Variable in class edu.stanford.nlp.trees.TreeGraphNode
The GrammaticalStructure of which this node is part.
third - Variable in class edu.stanford.nlp.util.Quadruple
 
third() - Method in class edu.stanford.nlp.util.Quadruple
 
third - Variable in class edu.stanford.nlp.util.Triple
 
third() - Method in class edu.stanford.nlp.util.Triple
 
thirdKeySet() - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
thirdPersonPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
thisBatch - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
thisFunc - Variable in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
 
thread - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
 
thread(String, Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
Wrap a collection of threads (Runnables) to be logged by Redwood.
thread(Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
threadAndRun(String, Iterable<Runnable>, int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
Thread a collection of runnables, and run them via a java Executor.
threadAndRun(String, Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
threadAndRun(Iterable<Runnable>, int) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
threadAndRun(Iterable<Runnable>) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
threads - Static variable in class edu.stanford.nlp.util.Execution
 
ThreadsafeProcessor<I,O> - Interface in edu.stanford.nlp.util.concurrent
Objects that wish to use MulticoreWrapper for multicore support must implement this interface.
THREE_CLASSES - Static variable in class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter
 
THREE_CLASSES_PROPERTY - Static variable in class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter
 
ThreeDimensionalMap<K1,K2,K3,V> - Class in edu.stanford.nlp.util
 
ThreeDimensionalMap() - Constructor for class edu.stanford.nlp.util.ThreeDimensionalMap
 
thresholdNumPatternsApplied - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
thresholdSelectPattern - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Threshold for learning a pattern
thresholdWordExtract - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
THURSDAY - Static variable in class edu.stanford.nlp.time.SUTime
 
tick(String) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
tick() - Static method in class edu.stanford.nlp.util.Timing
Restart (static) timer.
tick(String, PrintStream) - Static method in class edu.stanford.nlp.util.Timing
Print elapsed time and restart (static) timer.
tick(String) - Static method in class edu.stanford.nlp.util.Timing
Print elapsed time to System.err and restart (static) timer.
tid() - Method in class edu.stanford.nlp.time.Timex
 
tieOutputLayer - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
TIME - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
TIME - Static variable in class edu.stanford.nlp.pipeline.AnnotationPipeline
 
Time() - Constructor for class edu.stanford.nlp.time.SUTime.Time
 
Time(SUTime.Time) - Constructor for class edu.stanford.nlp.time.SUTime.Time
 
TIME_FUTURE - Static variable in class edu.stanford.nlp.time.SUTime
 
TIME_NONE - Static variable in class edu.stanford.nlp.time.SUTime
 
TIME_NONE_OK - Static variable in class edu.stanford.nlp.time.SUTime
 
TIME_NOW - Static variable in class edu.stanford.nlp.time.SUTime
 
TIME_PAST - Static variable in class edu.stanford.nlp.time.SUTime
 
TIME_PRESENT - Static variable in class edu.stanford.nlp.time.SUTime
 
TIME_REF - Static variable in class edu.stanford.nlp.time.SUTime
 
TIME_REF_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
 
TIME_UNKNOWN - Static variable in class edu.stanford.nlp.time.SUTime
 
TIME_WORDS_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
TimeAnnotations - Class in edu.stanford.nlp.time
Set of common annotations for CoreMaps that require classes from the time package.
TimeAnnotations() - Constructor for class edu.stanford.nlp.time.TimeAnnotations
 
TimeAnnotations.TimexAnnotation - Class in edu.stanford.nlp.time
The CoreMap key for storing a Timex annotation
TimeAnnotations.TimexAnnotations - Class in edu.stanford.nlp.time
The CoreMap key for storing all Timex annotations in a document.
TimeAnnotator - Class in edu.stanford.nlp.time
Annotate temporal expressions in text with SUTime.
TimeAnnotator() - Constructor for class edu.stanford.nlp.time.TimeAnnotator
 
TimeAnnotator(boolean) - Constructor for class edu.stanford.nlp.time.TimeAnnotator
 
TimeAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.time.TimeAnnotator
 
TIMED - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
TimeExpression - Class in edu.stanford.nlp.time
Time Expression.
TimeExpression(MatchedExpression) - Constructor for class edu.stanford.nlp.time.TimeExpression
 
TimeExpression(Interval<Integer>, Interval<Integer>, Function<CoreMap, SUTime.Temporal>, double, double) - Constructor for class edu.stanford.nlp.time.TimeExpression
 
TimeExpression.Annotation - Class in edu.stanford.nlp.time
The CoreMap key for storing a TimeExpression annotation.
TimeExpression.ChildrenAnnotation - Class in edu.stanford.nlp.time
The CoreMap key for storing a nested annotations.
TimeExpression.TimeIndexAnnotation - Class in edu.stanford.nlp.time
The CoreMap key for storing a SUTime.TimeIndex (for looking up Timex Id).
TimeExpressionConverter - Static variable in class edu.stanford.nlp.time.TimeExpression
 
TimeExpressionExtractor - Interface in edu.stanford.nlp.time
A TimeExpressionExtractor extracts a list of time expression from a document annotation
TimeExpressionExtractorFactory - Class in edu.stanford.nlp.time
Factory for creating TimeExpressionExtractor
TimeExpressionExtractorFactory() - Constructor for class edu.stanford.nlp.time.TimeExpressionExtractorFactory
 
TimeExpressionExtractorFactory(String) - Constructor for class edu.stanford.nlp.time.TimeExpressionExtractorFactory
 
TimeExpressionExtractorImpl - Class in edu.stanford.nlp.time
Extracts time expressions
TimeExpressionExtractorImpl() - Constructor for class edu.stanford.nlp.time.TimeExpressionExtractorImpl
 
TimeExpressionExtractorImpl(String, Properties) - Constructor for class edu.stanford.nlp.time.TimeExpressionExtractorImpl
 
TimeExpressionPatterns - Interface in edu.stanford.nlp.time
Interface for rules/patterns for transforming time related natural language expressions into temporal representations Patterns are based on the TokensRegex
TimeFormatter - Class in edu.stanford.nlp.time
Time specific patterns and formatting
TimeFormatter() - Constructor for class edu.stanford.nlp.time.TimeFormatter
 
TimeFormatter.CustomDateFormatExtractor - Class in edu.stanford.nlp.time
1.
TimeFormatter.JavaDateFormatExtractor - Class in edu.stanford.nlp.time
 
TimeFormatter.JodaDateTimeFormatExtractor - Class in edu.stanford.nlp.time
 
TimeIndex() - Constructor for class edu.stanford.nlp.time.SUTime.TimeIndex
 
TimeIndexAnnotation() - Constructor for class edu.stanford.nlp.time.TimeExpression.TimeIndexAnnotation
 
timeLabel - Variable in class edu.stanford.nlp.time.SUTime.Temporal
 
timesstamp - Variable in class edu.stanford.nlp.util.logging.Redwood.Record
 
TimeWithRange(SUTime.TimeWithRange, SUTime.Range) - Constructor for class edu.stanford.nlp.time.SUTime.TimeWithRange
 
TimeWithRange(SUTime.Range) - Constructor for class edu.stanford.nlp.time.SUTime.TimeWithRange
 
timeWordLotRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
timeWordRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
Timex - Class in edu.stanford.nlp.time
Stores one TIMEX3 expression.
Timex() - Constructor for class edu.stanford.nlp.time.Timex
 
Timex(Element) - Constructor for class edu.stanford.nlp.time.Timex
 
Timex(String) - Constructor for class edu.stanford.nlp.time.Timex
 
Timex(String, String) - Constructor for class edu.stanford.nlp.time.Timex
 
Timex(String, String, String, String, String, int, int) - Constructor for class edu.stanford.nlp.time.Timex
 
TimexAnnotation() - Constructor for class edu.stanford.nlp.time.TimeAnnotations.TimexAnnotation
 
TimexAnnotations() - Constructor for class edu.stanford.nlp.time.TimeAnnotations.TimexAnnotations
 
timexDateValue(ReadableDateTime, ReadableDateTime) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
timexDateValue(ReadableDateTime, ReadableDateTime, JodaTimeUtils.ConversionOptions) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
Return the TIMEX string for the range of dates given.
timexDurationValue(ReadablePeriod, JodaTimeUtils.ConversionOptions) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
Return the TIMEX string for the duration represented by the given period; approximately if approximate is set to true.
timexDurationValue(ReadablePeriod) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
 
timexDurationValue(ReadableDateTime, ReadableDateTime) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
Return the TIMEX string for the difference between two dates TODO not really sure if this works...
timexTimeValue(ReadableDateTime) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
Return the TIMEX string for the time given
timexType() - Method in class edu.stanford.nlp.time.Timex
 
timexVersion - Static variable in class edu.stanford.nlp.time.SUTime
 
Timing - Class in edu.stanford.nlp.util
A class for measuring how long things take.
Timing() - Constructor for class edu.stanford.nlp.util.Timing
Constructs new Timing object and starts the timer.
timingInformation() - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
Return a String that gives detailed human-readable information about how much time was spent by each annotator and by the entire annotation pipeline.
timingInformation() - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
Return a String that gives detailed human-readable information about how much time was spent by each annotator and by the entire annotation pipeline.
timitDatum - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
title - Variable in class edu.stanford.nlp.ling.BasicDocument
title of this document (never null).
title() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns the title of this document.
title() - Method in interface edu.stanford.nlp.ling.Document
Returns title of document, or "" if the document has no title.
tlp - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
tlp - Variable in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
tlp - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
tlp - Variable in class edu.stanford.nlp.parser.nndep.Config
Describes language-specific properties necessary for training and testing.
tlp - Variable in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
 
tlp - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
tlp - Variable in class edu.stanford.nlp.trees.DependencyTreeTransformer
 
tlp - Variable in class edu.stanford.nlp.trees.GrammaticalFunctionTreeNormalizer
 
tlp - Variable in class edu.stanford.nlp.trees.international.negra.NegraPennTreeNormalizer
 
tlp - Variable in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer
 
tlpParams - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
 
tlpParams - Variable in class edu.stanford.nlp.parser.lexparser.Options
The treebank-specific parser parameters to use.
to1D(double[][]) - Method in class edu.stanford.nlp.classify.AdaptedGaussianPriorObjectiveFunction
 
to1D(float[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
to1D(double[][], double[]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
to1D(double[][], int) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
to1D(double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
to2D(double[]) - Method in class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
 
to2D(double[]) - Method in class edu.stanford.nlp.classify.GeneralizedExpectationObjectiveFunction
 
to2D(double[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
to2D(double[], List<Index<CRFLabel>>, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
to2D(float[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
to2D(double[], List<Index<CRFLabel>>, int[]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
Takes a double array of weights and creates a 2D array where: the first element is the mapped index of the clique size (e.g., node-0, edge-1) matching featuresIndex i the second element is the number of output classes for that clique size
to2D(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
to2D(double[], List<Index<CRFLabel>>, int[], double[][]) - Static method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
to2D(double[], double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
to2D(double[], double) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
Beware: this changes the input weights array in place.
to2D(double[], double, double[][]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
Beware: this changes the input weights array in place.
to2D(double[], List<Index<CRFLabel>>, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
 
to2D(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
to2D(double[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
to2D(double[], int, int) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
TO_INTERVAL - Static variable in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
toAllWeightsString() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
toArray(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
toArray(List<Integer>) - Static method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
toArray() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
 
toArray(T[]) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
 
toArray() - Method in class edu.stanford.nlp.objectbank.ObjectBank
 
toArray(T[]) - Method in class edu.stanford.nlp.objectbank.ObjectBank
Can be slow.
toArray() - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
toArray(List<IN>[]) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
 
toArray() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.HistoryEntry
Returns an array with pattern as the first entry, numTreesMatched as the second, and numMatches as the third
toAscii(String) - Static method in class edu.stanford.nlp.util.StringUtils
 
toBasicSequenceMatchResult() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
 
toBasicSequenceMatchResult() - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher
Returns a copy of the current match results.
toBasicSequenceMatchResult() - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchResult
 
toBiggestValuesFirstString(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
toBiggestValuesFirstString(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
 
toBiggestValuesFirstString(Counter<Integer>, int, Index<T>) - Static method in class edu.stanford.nlp.stats.Counters
 
toBiggestWeightFeaturesString(boolean, int, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifier
Return a String that prints features with large weights.
toBinaryString(byte[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toCompactString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
toCompactString(boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
toComparator(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a comparator backed by this counter: two objects are compared by their associated values stored in the counter.
toComparator(Counter<E>, boolean, boolean) - Static method in class edu.stanford.nlp.stats.Counters
Returns a comparator suitable for sorting this Counter's keys or entries by their respective value or magnitude (by absolute value).
toComparatorDescending(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a comparator backed by this counter: two objects are compared by their associated values stored in the counter.
toComparatorWithKeys(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a comparator backed by this counter: two objects are compared by their associated values stored in the counter.
toContinue() - Method in class edu.stanford.nlp.optimization.QNMinimizer.Record
This function checks for convergence through first order optimality, numerical convergence (i.e., zero numerical gradient), and also by checking the average improvement.
toContinue(double[], double) - Method in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
toCoreLabelList(String...) - Static method in class edu.stanford.nlp.ling.Sentence
Create a sentence as a List of CoreLabel objects from an array (or varargs) of String objects.
toCoreLabelList(List<? extends HasWord>) - Static method in class edu.stanford.nlp.ling.Sentence
Create a sentence as a List of CoreLabel objects from a List of other label objects.
toCounter(double[], Index<T>) - Static method in class edu.stanford.nlp.stats.Counters
 
toCounter(Map<Integer, ? extends Number>, Index<E>) - Static method in class edu.stanford.nlp.stats.Counters
Turns the given map and index into a counter instance.
toCSVString(NumberFormat) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
toCSVString(NumberFormat) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
toCSVString(NumberFormat) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
toCSVString(TwoDimensionalIntCounter<CK1, CK2>, NumberFormat, Comparator<CK1>, Comparator<CK2>) - Static method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
toCSVString(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
 
TODAY - Static variable in class edu.stanford.nlp.time.SUTime
 
toDescendingMagnitudeSortedListWithCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
toDistributionString(int) - Method in class edu.stanford.nlp.classify.LinearClassifier
Similar to histogram but exact values of the weights to see whether there are many equal weights.
toDotFormat() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns an unnamed dot format digraph.
toDotFormat(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a dot format digraph with the given name.
toDotFormat(String, CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
toDouble(float[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Casts to a double array
toDouble(int[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
Casts to a double array.
toDoubleArray(String[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toEnUncollapsedSentenceString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Similar to toRecoveredString, but will fill in words that were collapsed into relations (i.e.
toFlatTree(List<HasWord>) - Static method in class edu.stanford.nlp.trees.Trees
Turns a sentence into a flat phrasal tree.
toFlatTree(List<? extends HasWord>, LabelFactory) - Static method in class edu.stanford.nlp.trees.Trees
Turns a sentence into a flat phrasal tree.
toFormattedString() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
toFormattedString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a String representation of this semantic graph, formatted by the default semantic graph formatter.
toFormattedString(SemanticGraphFormatter) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a String representation of this semantic graph, formatted by the supplied semantic graph formatter.
toFormattedString(int) - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
 
toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.Duration
 
toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.DurationRange
 
toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.ExplicitTemporalSet
 
toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
 
toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.InexactDuration
 
toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
 
toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.OrdinalTime
 
toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.PeriodicTemporalSet
 
toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.Range
 
toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.RefTime
 
toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
 
toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.SimpleTime
 
toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
toFormattedString(int) - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
 
toHistogramString() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
toInterval(E, E) - Static method in class edu.stanford.nlp.util.FuzzyInterval
 
toInterval(E, E, int) - Static method in class edu.stanford.nlp.util.FuzzyInterval
 
toInterval(E, E) - Static method in class edu.stanford.nlp.util.Interval
Create an interval with the specified endpoints in the specified order, Returns null if a does not come before b (invalid interval)
toInterval(E, E, int) - Static method in class edu.stanford.nlp.util.Interval
Create an interval with the specified endpoints in the specified order, using the specified flags.
toInvocationString(String, String[]) - Static method in class edu.stanford.nlp.util.StringUtils
 
toISOString() - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
 
toISOString() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
token - Variable in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Current token.
token - Variable in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
Token - Class in edu.stanford.nlp.patterns.surface
Currently can handle only ORs Created by sonalg on 10/16/14.
Token() - Constructor for class edu.stanford.nlp.patterns.surface.Token
 
Token.ClassComparator - Class in edu.stanford.nlp.patterns.surface
 
TOKEN_PATTERN_EXTRACT_RULE_CREATOR - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
TOKEN_PATTERN_RULE_TYPE - Static variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules
 
token_source - Variable in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Generated Token Manager.
TOKEN_STRING_SPLIT_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
TokenBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokenBeginAnnotation
 
TokenEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokenEndAnnotation
 
tokenFactory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
tokenFactoryArgs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
tokenImage - Variable in exception edu.stanford.nlp.ling.tokensregex.parser.ParseException
This is a reference to the "tokenImage" array of the generated parser within which the parse error occurred.
tokenImage - Variable in exception edu.stanford.nlp.semgraph.semgrex.ParseException
This is a reference to the "tokenImage" array of the generated parser within which the parse error occurred.
tokenImage - Variable in exception edu.stanford.nlp.trees.tregex.ParseException
This is a reference to the "tokenImage" array of the generated parser within which the parse error occurred.
tokenImage - Variable in exception edu.stanford.nlp.trees.tregex.tsurgeon.ParseException
This is a reference to the "tokenImage" array of the generated parser within which the parse error occurred.
tokenize(String) - Static method in class edu.stanford.nlp.ie.machinereading.common.SimpleTokenize
Basic string tokenization, skipping over white spaces
tokenize(String, String) - Static method in class edu.stanford.nlp.ie.machinereading.common.SimpleTokenize
Basic string tokenization, skipping over white spaces
tokenize(String) - Method in class edu.stanford.nlp.parser.common.ParserGrammar
Tokenize the text using the parser's tokenizer
tokenize(Iterator<String>, String, boolean, boolean, String, boolean, String, boolean, int, File, Map<String, List<CoreLabel>>, int) - Static method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
tokenize(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.AnnotatorFactories
 
tokenize() - Method in class edu.stanford.nlp.process.AbstractTokenizer
Returns text as a List of tokens.
tokenize() - Method in interface edu.stanford.nlp.process.Tokenizer
Returns all tokens of this Tokenizer as a List for convenience.
TOKENIZE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TOKENIZE_AND_SSPLIT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
These are typical combinations of annotators which may be used as requirements by other annotators.
TOKENIZE_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
TOKENIZE_SSPLIT_NER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
TOKENIZE_SSPLIT_PARSE - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
TOKENIZE_SSPLIT_PARSE_NER - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
TOKENIZE_SSPLIT_POS - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
TOKENIZE_SSPLIT_POS_LEMMA - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
tokenizeAndSegmentSentences(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceSentenceSegmenter
 
tokenizer - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
tokenizer(Properties, boolean, String) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
Tokenize, emulating the Penn Treebank
Tokenizer<T> - Interface in edu.stanford.nlp.process
Tokenizers break up text into individual Objects.
TOKENIZER_FACTORY - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TOKENIZER_OPTIONS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
TokenizerAdapter - Class in edu.stanford.nlp.process
This class adapts between a java.io.StreamTokenizer and a edu.stanford.nlp.process.Tokenizer.
TokenizerAdapter(StreamTokenizer) - Constructor for class edu.stanford.nlp.process.TokenizerAdapter
Create a new TokenizerAdaptor.
TokenizerAnnotator - Class in edu.stanford.nlp.pipeline
This class will PTB tokenize the input.
TokenizerAnnotator() - Constructor for class edu.stanford.nlp.pipeline.TokenizerAnnotator
 
TokenizerAnnotator(boolean) - Constructor for class edu.stanford.nlp.pipeline.TokenizerAnnotator
 
TokenizerAnnotator(String) - Constructor for class edu.stanford.nlp.pipeline.TokenizerAnnotator
 
TokenizerAnnotator(boolean, TokenizerAnnotator.TokenizerType) - Constructor for class edu.stanford.nlp.pipeline.TokenizerAnnotator
 
TokenizerAnnotator(boolean, String) - Constructor for class edu.stanford.nlp.pipeline.TokenizerAnnotator
 
TokenizerAnnotator(boolean, String, String) - Constructor for class edu.stanford.nlp.pipeline.TokenizerAnnotator
 
TokenizerAnnotator(boolean, Properties) - Constructor for class edu.stanford.nlp.pipeline.TokenizerAnnotator
 
TokenizerAnnotator(boolean, Properties, String) - Constructor for class edu.stanford.nlp.pipeline.TokenizerAnnotator
 
TokenizerAnnotator.TokenizerType - Enum in edu.stanford.nlp.pipeline
Enum to identify the different TokenizerTypes.
tokenizerFactory - Variable in class edu.stanford.nlp.ling.BasicDocument
TokenizerFactory used to convert the text into words inside BasicDocument.parse(String).
tokenizerFactory() - Method in class edu.stanford.nlp.ling.BasicDocument
Returns the current TokenizerFactory used by BasicDocument.parse(String).
tokenizerFactory - Variable in class edu.stanford.nlp.ling.DocumentReader
Tokenizer used to chop up document text into words.
TokenizerFactory<T> - Interface in edu.stanford.nlp.process
A TokenizerFactory is used to convert a java.io.Reader into a Tokenizer (an extension of Iterator) over objects of type T represented by the text in the java.io.Reader.
tokenizerFactory - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
tokenizerOptions - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
tokenizeText() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
Tokenizes and adds blank spaces were needed between each token
tokenizeText(Reader) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Reads data from r, tokenizes it with the default (Penn Treebank) tokenizer, and returns a List of Sentence objects, which can then be fed into tagSentence.
tokenizeText(Reader, TokenizerFactory<? extends HasWord>) - Static method in class edu.stanford.nlp.tagger.maxent.MaxentTagger
Reads data from r, tokenizes it with the given tokenizer, and returns a List of Lists of (extends) HasWord objects, which can then be fed into tagSentence.
tokenizeToWords() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
Smart tokenization storing the output in an array of CoreLabel Sets the following fields: - TextAnnotation - the text of the token - TokenBeginAnnotation - the byte offset of the token (start) - TokenEndAnnotation - the byte offset of the token (end)
tokenizeToWordTokens() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
Tokenizes a natural language string
tokenizeWithQuotes(String) - Static method in class edu.stanford.nlp.ie.machinereading.common.SimpleTokenize
String tokenization, considering everything within quotes as 1 token Regular quotes inside tokens MUST be preceded by \
TokenList(List<CoreLabel>) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.TokenList
 
TokenList(List<? extends CoreMap>, Class) - Constructor for class edu.stanford.nlp.ling.tokensregex.PhraseTable.TokenList
 
tokenOffsets - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
Token offsets (relative to original text tokenization)
TokenPatternExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TokenPatternExtractRuleCreator
 
TOKENS_MATCH_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
TOKENS_REPLACE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
tokensAggregators - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
tokensAndNELabelsToString(CoreMap) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
TokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation
 
tokensAnnotationClassName - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
tokensAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
tokensAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
 
tokensCorrect - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
tokensCount - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats
 
TokenSequenceMatcher - Class in edu.stanford.nlp.ling.tokensregex
Token Sequence Matcher for regular expressions for sequences over tokens
TokenSequenceMatcher(SequencePattern, List<? extends CoreMap>) - Constructor for class edu.stanford.nlp.ling.tokensregex.TokenSequenceMatcher
 
TokenSequenceParser - Class in edu.stanford.nlp.ling.tokensregex.parser
 
TokenSequenceParser() - Constructor for class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
TokenSequenceParser(InputStream) - Constructor for class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Constructor with InputStream.
TokenSequenceParser(InputStream, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Constructor with InputStream and supplied encoding
TokenSequenceParser(Reader) - Constructor for class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Constructor.
TokenSequenceParser(TokenSequenceParserTokenManager) - Constructor for class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
Constructor with generated Token Manager.
TokenSequencePattern - Class in edu.stanford.nlp.ling.tokensregex
Token Sequence Pattern for regular expressions over sequences of tokens (each represented as a CoreMap).
TokenSequencePattern(String, SequencePattern.PatternExpr) - Constructor for class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
 
TokenSequencePattern(String, SequencePattern.PatternExpr, SequenceMatchAction<CoreMap>) - Constructor for class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
 
TokensRegexAnnotator - Class in edu.stanford.nlp.pipeline
Uses TokensRegex patterns to annotate tokens.
TokensRegexAnnotator(String...) - Constructor for class edu.stanford.nlp.pipeline.TokensRegexAnnotator
 
TokensRegexAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.TokensRegexAnnotator
 
TokensRegexAnnotator(Properties) - Constructor for class edu.stanford.nlp.pipeline.TokensRegexAnnotator
 
tokensRegexNER(Properties, String) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
Run RegexNER -- rule-based NER based on a deterministic mapping file
TokensRegexNERAnnotator - Class in edu.stanford.nlp.pipeline
TokensRegexNERAnnotator labels tokens with types based on a simple manual mapping from regular expressions to the types of the entities they are meant to describe.
TokensRegexNERAnnotator(String) - Constructor for class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
Construct a new TokensRegexAnnotator.
TokensRegexNERAnnotator(String, boolean) - Constructor for class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
 
TokensRegexNERAnnotator(String, boolean, String) - Constructor for class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
 
TokensRegexNERAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.TokensRegexNERAnnotator
 
tokensResultAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
tokensResultAnnotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
Annotation field(s) on individual tokens to put new annotation
tokensToString(List<CoreLabel>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
tolerance - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
toLexicalEntry(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
toList() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a String representation of this graph as a list of typed dependencies, as exemplified by the following:
toList() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
toList(Iterable<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Create a list out of the items in the Iterable.
toMap() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
Cast this multi-graph as a map from vertices, to the outgoing data along edges out of those vertices.
toMatrix(List<K1>, List<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
Given an ordering of the first (row) and second (column) keys, will produce a double matrix.
toMatrix(List<K1>, List<K2>) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
Given an ordering of the first (row) and second (column) keys, will produce a double matrix.
toMatrix(List<K1>, List<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
Given an ordering of the first (row) and second (column) keys, will produce a double matrix.
toMatrixString(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
toMatrixString(int) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
toMatrixString(int) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
toMilliSecondsString(long) - Static method in class edu.stanford.nlp.util.Timing
Format with one decimal place elapsed milliseconds.
TOMORROW - Static variable in class edu.stanford.nlp.time.SUTime
 
TONIGHT - Static variable in class edu.stanford.nlp.time.SUTime
 
toNonLogString() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
toNormalizedWordList(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
TooltipJList - Class in edu.stanford.nlp.swing
Simple list class that extends JList and adds tool tip functionality to the list.
TooltipJList() - Constructor for class edu.stanford.nlp.swing.TooltipJList
 
TooltipJList(ListModel) - Constructor for class edu.stanford.nlp.swing.TooltipJList
 
TooltipJList(ListModel, int) - Constructor for class edu.stanford.nlp.swing.TooltipJList
 
toOneLineString() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Returns a String representation of this node and its subtree as a one-line parenthesized list.
topCost() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
topFeaturesToString(List<Triple<F, L, Double>>) - Method in class edu.stanford.nlp.classify.LinearClassifier
Returns string representation of a list of top features
TopicAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TopicAnnotation
 
topKey() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
topKeys(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
 
topKeysWithCounts(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
 
topLevelKeySet() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
Returns the set of elements that occur in the 0th position of a List key in the GeneralizedCounter.
TopMatchEval - Class in edu.stanford.nlp.parser.metrics
Measures accuracy by only considering the very top of the parse tree, eg where S, SINV, etc go
TopMatchEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.TopMatchEval
 
TopNGramRecord - Class in edu.stanford.nlp.neural.rnn
This class stores the best K ngrams for each class for a model.
TopNGramRecord(int, int, int) - Constructor for class edu.stanford.nlp.neural.rnn.TopNGramRecord
 
topologicalSort() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
toPOSList() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Similar to toList(), but uses POS tags instead of word and index.
toPrettyString() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
Returns a String representation of this GrammaticalRelation and the hierarchy below it, with one node per line, indented according to level.
toPrettyString(int) - Method in class edu.stanford.nlp.trees.TreeGraphNode
Returns a String representation of this node and its subtree with one node per line, indented according to indentLevel.
toPrimes() - Method in class edu.stanford.nlp.ling.CoreLabel
 
toPrimes() - Method in class edu.stanford.nlp.ling.IndexedWord
 
toPrimes() - Method in class edu.stanford.nlp.trees.TreeGraphNode
 
toPrimitive(Long[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Integer[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Short[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Character[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Double[]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Long[], long) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Integer[], int) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Short[], short) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Character[], char) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPrimitive(Double[], double) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toPriorityQueue(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Returns a PriorityQueue whose elements are the keys of Counter c, and the score of each key in c becomes its priority.
toProbString() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
toProbString() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
topWeights() - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
toRankCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Converts a counter to ranks; ranks start from 0
toRecoveredSentenceString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
toRecoveredSentenceStringWithIndexMarking() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
toRelFlags(int, int) - Static method in class edu.stanford.nlp.util.Interval
 
toSecondsString() - Method in class edu.stanford.nlp.util.Timing
Returns the number of seconds passed since the timer started in the form "d.d".
toSecondsString(long) - Static method in class edu.stanford.nlp.util.Timing
Format with one decimal place elapsed milliseconds in seconds.
toSentenceString(ArrayList) - Method in class edu.stanford.nlp.trees.Constituent
Print out as a string the subpart of a sentence covered by this Constituent.
toSet(Iterable<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Create a set out of the items in the Iterable.
toShorterString(String...) - Method in class edu.stanford.nlp.util.ArrayCoreMap
Attempt to provide a briefer and more human readable String for the contents of a CoreMap.
toShorterString(String...) - Method in interface edu.stanford.nlp.util.CoreMap
Attempt to provide a briefer and more human readable String for the contents of a CoreMap.
toShortString(String...) - Method in class edu.stanford.nlp.util.ArrayCoreMap
This gives a very short String representation of a CoreMap by leaving it to the content to reveal what field is being printed.
toShortString(char, String...) - Method in class edu.stanford.nlp.util.ArrayCoreMap
This gives a very short String representation of a CoreMap by leaving it to the content to reveal what field is being printed.
toSortedByKeysString(Counter<T>, String, String, String) - Static method in class edu.stanford.nlp.stats.Counters
Returns a string representation of a Counter, where (key, value) pairs are sorted by key, and formatted as specified.
toSortedList(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
A List of the keys in c, sorted from highest count to lowest.
toSortedList(Counter<E>, boolean) - Static method in class edu.stanford.nlp.stats.Counters
A List of the keys in c, sorted from highest count to lowest.
toSortedList() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
toSortedList() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
 
toSortedList() - Method in interface edu.stanford.nlp.util.PriorityQueue
 
toSortedListKeyComparable(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
A List of the keys in c, sorted from highest count to lowest.
toSortedListWithCounts(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
A List of the keys in c, sorted from highest count to lowest, paired with counts
toSortedListWithCounts(Counter<E>, Comparator<Pair<E, Double>>) - Static method in class edu.stanford.nlp.stats.Counters
A List of the keys in c, sorted by the given comparator, paired with counts.
toSortedString(Counter<T>, int, String, String, String) - Static method in class edu.stanford.nlp.stats.Counters
Returns a string representation of a Counter, displaying the keys and their counts in decreasing order of count.
toSortedString(Counter<T>, int, String, String) - Static method in class edu.stanford.nlp.stats.Counters
Returns a string representation of a Counter, displaying the keys and their counts in decreasing order of count.
toString() - Method in class edu.stanford.nlp.classify.Dataset
 
toString() - Method in class edu.stanford.nlp.classify.LinearClassifier
Print out a partial representation of a linear classifier.
toString(String, int) - Method in class edu.stanford.nlp.classify.LinearClassifier
Print out a partial representation of a linear classifier in one of several ways.
toString() - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
toString() - Method in class edu.stanford.nlp.classify.RVFDataset
 
toString() - Method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.CorpusStats
 
toString() - Method in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
 
toString() - Method in class edu.stanford.nlp.dcoref.CorefChain
 
toString() - Method in class edu.stanford.nlp.dcoref.Mention
 
toString() - Method in class edu.stanford.nlp.dcoref.SieveOptions
 
toString() - Method in class edu.stanford.nlp.dcoref.SpeakerInfo
 
toString() - Method in class edu.stanford.nlp.fsm.DFSAState
 
toString() - Method in class edu.stanford.nlp.fsm.DFSATransition
 
toString() - Method in class edu.stanford.nlp.fsm.TransducerGraph.Arc
 
toString() - Method in class edu.stanford.nlp.fsm.TransducerGraph
 
toString() - Method in class edu.stanford.nlp.graph.DirectedMultiGraph
 
toString() - Method in class edu.stanford.nlp.ie.crf.CRFDatum
Returns a String representation of this BasicDatum (lists features and labels).
toString(Index<E>) - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
toString() - Method in class edu.stanford.nlp.ie.crf.CRFLabel
 
toString(Index<L>) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
toString() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
toString(Index) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
toString() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
toString() - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
toString(int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
toString() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
 
toString() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
toString() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
toString() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
 
toString() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
 
toString() - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
 
toString() - Method in class edu.stanford.nlp.ie.machinereading.structure.EntityMention
 
toString() - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
toString() - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
toString() - Method in class edu.stanford.nlp.ie.machinereading.structure.Span
 
toString() - Method in class edu.stanford.nlp.ie.pascal.ISODateInstance
 
toString() - Method in class edu.stanford.nlp.international.morph.MorphoFeatures
values() returns the values in the order in which they are declared.
toString() - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
 
toString() - Method in class edu.stanford.nlp.io.NumberRangesFileFilter
 
toString() - Method in class edu.stanford.nlp.io.StringOutputStream
 
toString() - Method in class edu.stanford.nlp.ling.BasicDatum
Returns a String representation of this BasicDatum (lists features and labels).
toString() - Method in class edu.stanford.nlp.ling.CategoryWordTag
Returns a String representation of the label.
toString(String) - Method in class edu.stanford.nlp.ling.CategoryWordTag
Returns a String representation of the label.
toString() - Method in class edu.stanford.nlp.ling.CoreLabel
 
toString(CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.ling.CoreLabel
Returns a formatted string representing this label.
toString() - Method in class edu.stanford.nlp.ling.IndexedWord
Returns the value-tag of this label.
toString(CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.ling.IndexedWord
 
toString() - Method in interface edu.stanford.nlp.ling.Label
Return a String representation of the label.
toString() - Method in class edu.stanford.nlp.ling.LabeledWord
 
toString(String) - Method in class edu.stanford.nlp.ling.LabeledWord
 
toString() - Method in class edu.stanford.nlp.ling.MultiTokenTag
 
toString() - Method in class edu.stanford.nlp.ling.RVFDatum
Returns a String representation of this BasicDatum (lists features and labels).
toString() - Method in class edu.stanford.nlp.ling.StringLabel
 
toString() - Method in class edu.stanford.nlp.ling.TaggedWord
 
toString(String) - Method in class edu.stanford.nlp.ling.TaggedWord
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult.MatchedGroup
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NilAnnotationPattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NotNilAnnotationPattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.NumericAnnotationPattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.SequenceRegexPattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationPattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringAnnotationRegexPattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.StringInSetAnnotationPattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.Match
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.MultiMatch
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.MultiCoreMapNodePattern.StringSequenceAnnotationPattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.AnyNodePattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.ConjNodePattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.DisjNodePattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.EqualsNodePattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.NodePattern.NegateNodePattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseMatch
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.StringList
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.TokenList
 
toString(PhraseTable.WordList) - Static method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.TokenSequencePattern
Returns a String representation of the TokenSequencePattern.
toString() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.FunctionCallExpression
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.MethodCallExpression
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleExpression
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.SimpleValue
 
toString() - Method in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.NamedValueFunction
 
toString() - Method in class edu.stanford.nlp.ling.ValueLabel
Return a string representation of the label.
toString() - Method in class edu.stanford.nlp.ling.WordLemmaTag
Return a String representation of the Label.
toString(String) - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
toString() - Method in class edu.stanford.nlp.ling.WordTag
Return a String representation of the label.
toString(String) - Method in class edu.stanford.nlp.ling.WordTag
 
toString(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(double[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(float[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(int[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(byte[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(byte[], NumberFormat) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(int[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(int[][], Object[], Object[], int, int, NumberFormat, boolean) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(double[][], int, Object[], Object[], NumberFormat, boolean) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(float[][]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString(float[][], int, Object[], Object[], NumberFormat, boolean) - Static method in class edu.stanford.nlp.math.ArrayMath
 
toString() - Method in class edu.stanford.nlp.math.DoubleAD
 
toString() - Method in class edu.stanford.nlp.neural.rnn.TopNGramRecord
 
toString() - Method in class edu.stanford.nlp.neural.SimpleTensor
 
toString() - Method in class edu.stanford.nlp.optimization.CmdEvaluator
 
toString() - Method in class edu.stanford.nlp.optimization.MemoryEvaluator
 
toString() - Method in class edu.stanford.nlp.parser.common.ParserConstraint
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
 
toString(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.Edge
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.Hook
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
 
toString(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntDependency
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
toString(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
toString(String, Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.Lattice
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.LatticeEdge
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.TestOptions
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.SimpleStringFunction
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
toString() - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
 
toString(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
 
toString() - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
 
toString() - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition
 
toString() - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
 
toString() - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition
 
toString() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition
 
toString() - Method in class edu.stanford.nlp.parser.shiftreduce.State
 
toString() - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition
 
toString(List<String>) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
toString(String, String, List<String>) - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
toString() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
toString() - Method in class edu.stanford.nlp.patterns.surface.Token
 
toString() - Method in class edu.stanford.nlp.pipeline.Annotation
The basic toString() method of an Annotation simply prints out the text over which any annotations have been made (TextAnnotation).
toString() - Method in class edu.stanford.nlp.pipeline.Annotator.Requirement
 
toString() - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier.LabelTagType
 
toString() - Method in class edu.stanford.nlp.process.Americanize
 
toString() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Recursive depth first traversal.
toString(CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
toString(SemanticGraph.OutputFormat) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a String representation of the result of this set of typed dependencies in a user-specified format.
toString() - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
toString() - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
 
toString(String) - Method in class edu.stanford.nlp.semgraph.semgrex.Alignment
 
toString() - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
 
toString(boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.CoordinationPattern
 
toString() - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
toString(boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
toString(boolean, boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.NodePattern
 
toString() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexMatcher
 
toString() - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
 
toString(boolean) - Method in class edu.stanford.nlp.semgraph.semgrex.SemgrexPattern
 
toString() - Method in class edu.stanford.nlp.sentiment.RNNOptions
 
toString() - Method in class edu.stanford.nlp.sentiment.RNNTestOptions
 
toString() - Method in class edu.stanford.nlp.sentiment.RNNTrainOptions
 
toString() - Method in class edu.stanford.nlp.sequences.Clique
 
toString() - Method in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
 
toString() - Method in class edu.stanford.nlp.sequences.SeqClassifierFlags
Print the properties specified by this object.
toString() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns a String representation of the Counter, as formatted by the underlying Map.
toString(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
Returns a string representation which includes no more than the maxKeysToPrint elements with largest counts.
toString(Counter<E>, NumberFormat) - Static method in class edu.stanford.nlp.stats.Counters
 
toString(Counter<E>, NumberFormat, String, String, String, String) - Static method in class edu.stanford.nlp.stats.Counters
Pretty print a Counter.
toString(NumberFormat) - Method in class edu.stanford.nlp.stats.Distribution
 
toString() - Method in class edu.stanford.nlp.stats.Distribution
 
toString() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
 
toString(String) - Method in class edu.stanford.nlp.stats.GeneralizedCounter
 
toString() - Method in class edu.stanford.nlp.stats.IntCounter
 
toString(NumberFormat, String, String, String, String) - Method in class edu.stanford.nlp.stats.IntCounter
 
toString(NumberFormat) - Method in class edu.stanford.nlp.stats.IntCounter
 
toString() - Method in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
toString() - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
Returns a String representation of this PrecisionRecallStats, indicating the number of tp, fp, fn counts.
toString(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats
 
toString() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
A simple String representation of this TwoDimensionalCounter, which has the String representation of each key pair on a separate line, followed by the count for that pair.
toString() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
A simple String representation of this TwoDimensionalCounter, which has the String representation of each key pair on a separate line, followed by the count for that pair.
toString() - Method in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
toString() - Method in class edu.stanford.nlp.tagger.maxent.AmbiguityClass
 
toString() - Method in class edu.stanford.nlp.tagger.maxent.Extractor
 
toString() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorDistsimConjunction
 
toString() - Method in class edu.stanford.nlp.tagger.maxent.Extractors
 
toString() - Method in class edu.stanford.nlp.tagger.maxent.ExtractorVerbalVBNZero
 
toString() - Method in class edu.stanford.nlp.tagger.maxent.FeatureKey
 
toString() - Method in class edu.stanford.nlp.tagger.maxent.History
 
toString() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
toString() - Method in class edu.stanford.nlp.tagger.maxent.TTags
 
toString() - Method in class edu.stanford.nlp.time.SUTime.IsoDate
 
toString() - Method in class edu.stanford.nlp.time.SUTime.Temporal
 
toString() - Method in class edu.stanford.nlp.time.Timex
 
toString() - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
 
toString() - Method in class edu.stanford.nlp.trees.Constituent
Return a string representation of a Constituent.
toString(String) - Method in interface edu.stanford.nlp.trees.Dependency
Provide different printing options via a String keyword.
toString() - Method in class edu.stanford.nlp.trees.GrammaticalRelation
Returns short name (abbreviation) for this GrammaticalRelation.
toString() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
 
toString() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
 
toString() - Method in class edu.stanford.nlp.trees.international.negra.NegraLabel
 
toString() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
 
toString() - Method in class edu.stanford.nlp.trees.NamedDependency
 
toString(String) - Method in class edu.stanford.nlp.trees.NamedDependency
Provide different printing options via a String keyword.
toString() - Method in class edu.stanford.nlp.trees.Tree
Converts parse tree to string in Penn Treebank format.
toString() - Method in class edu.stanford.nlp.trees.Treebank
Return the whole treebank as a series of big bracketed lists.
toString() - Method in class edu.stanford.nlp.trees.TreeGraphNode
 
toString(CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.trees.TreeGraphNode
 
toString() - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeNode
 
toString() - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.HistoryEntry
 
toString() - Method in class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
 
toString() - Method in enum edu.stanford.nlp.trees.tregex.gui.TregexGUI.FilterType
 
toString() - Method in class edu.stanford.nlp.trees.tregex.TregexPattern
 
toString() - Method in class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonPattern
 
toString() - Method in class edu.stanford.nlp.trees.TypedDependency
 
toString(CoreLabel.OutputFormat) - Method in class edu.stanford.nlp.trees.TypedDependency
 
toString() - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
toString(String) - Method in class edu.stanford.nlp.trees.UnnamedConcreteDependency
Provide different printing options via a String keyword.
toString() - Method in class edu.stanford.nlp.trees.UnnamedDependency
 
toString(String) - Method in class edu.stanford.nlp.trees.UnnamedDependency
Provide different printing options via a String keyword.
toString() - Method in class edu.stanford.nlp.util.ArrayCoreMap
Prints a full dump of a CoreMap.
toString() - Method in class edu.stanford.nlp.util.ArrayHeap
Prints the array entries in sorted comparator order.
toString() - Method in class edu.stanford.nlp.util.ArrayStringFilter
 
toString(int[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toString(double[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toString(boolean[][]) - Static method in class edu.stanford.nlp.util.ArrayUtils
 
toString() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
toString(int) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
Returns a representation of the queue in decreasing priority order, displaying at most maxKeysToPrint elements.
toString() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
toString() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
toString() - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
Return status information about the underlying threadpool.
toString() - Method in class edu.stanford.nlp.util.ConfusionMatrix.Contingency
 
toString() - Method in class edu.stanford.nlp.util.ConfusionMatrix
 
toString() - Method in class edu.stanford.nlp.util.DeltaIndex
super ghetto
toString() - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Returns a representation of the queue in decreasing priority order.
toString(int) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Returns a representation of the queue in decreasing priority order, displaying at most maxKeysToPrint elements.
toString(int, String) - Method in class edu.stanford.nlp.util.FixedPrioritiesPriorityQueue
Returns a representation of the queue in decreasing priority order, displaying at most maxKeysToPrint elements.
toString() - Method in class edu.stanford.nlp.util.HashIndex
Returns a readable version of the Index contents
toString(int) - Method in class edu.stanford.nlp.util.HashIndex
Returns a readable version of at least part of the Index contents.
toString() - Method in class edu.stanford.nlp.util.IntervalTree
 
toString() - Method in class edu.stanford.nlp.util.IntTuple
 
toString(Iterable<E>, String) - Static method in class edu.stanford.nlp.util.Iterables
Returns a string representation of the contents of calling toString on each element of the given iterable, joining the elements together with the given glue.
toString() - Method in class edu.stanford.nlp.util.logging.Redwood.Record
 
toString() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
 
toString() - Method in class edu.stanford.nlp.util.MemoryMonitor
 
toString() - Method in class edu.stanford.nlp.util.MetaClass.ClassFactory
 
toString() - Method in class edu.stanford.nlp.util.MetaClass
 
toString() - Method in class edu.stanford.nlp.util.MutableDouble
 
toString() - Method in class edu.stanford.nlp.util.MutableInteger
 
toString() - Method in class edu.stanford.nlp.util.MutableLong
 
toString() - Method in class edu.stanford.nlp.util.PaddedList
 
toString() - Method in class edu.stanford.nlp.util.Pair
 
toString(int) - Method in interface edu.stanford.nlp.util.PriorityQueue
Returns a representation of the queue in decreasing priority order, displaying at most maxKeysToPrint elements.
toString() - Method in class edu.stanford.nlp.util.Quadruple
 
toString() - Method in class edu.stanford.nlp.util.ScoredComparator
 
toString() - Method in class edu.stanford.nlp.util.ScoredObject
 
toString() - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
toString() - Method in class edu.stanford.nlp.util.Timing
 
toString() - Method in class edu.stanford.nlp.util.TreeShapedStack
 
toString(String) - Method in class edu.stanford.nlp.util.TreeShapedStack
 
toString() - Method in class edu.stanford.nlp.util.Triple
 
toString() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
 
toString() - Method in class edu.stanford.nlp.util.TwoDimensionalMap.Entry
 
toString() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
toString() - Method in class edu.stanford.nlp.util.XMLUtils.XMLTag
 
toStringArr(int[]) - Static method in class edu.stanford.nlp.stats.AccuracyStats
 
toStringBuilder(StringBuilder) - Method in class edu.stanford.nlp.trees.Tree
Appends the printed form of a parse tree (as a bracketed String) to a StringBuilder.
toStringBuilder(StringBuilder, boolean) - Method in class edu.stanford.nlp.trees.Tree
Appends the printed form of a parse tree (as a bracketed String) to a StringBuilder.
toStringNoScore(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.BinaryRule
 
toStringNoScore(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.UnaryRule
 
toStringOneEntryPerLine() - Method in class edu.stanford.nlp.util.HashIndex
 
toStringOneEntryPerLine(int) - Method in class edu.stanford.nlp.util.HashIndex
 
toStringSimple() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
toStringSorted(Map<K, V>, StringBuilder) - Static method in class edu.stanford.nlp.util.Maps
Stringifies a Map in a stable fashion.
toStringSorted(Map<K, V>) - Static method in class edu.stanford.nlp.util.Maps
Stringifies a Map in a stable fashion.
toStringToWrite() - Method in class edu.stanford.nlp.patterns.surface.PatternToken
 
toStringToWrite() - Method in class edu.stanford.nlp.patterns.surface.SurfacePattern
 
toStructureDebugString(Tree) - Static method in class edu.stanford.nlp.trees.Trees
Returns a String reporting what kinds of Tree and Label nodes this Tree contains.
toSummaryStatistics() - Method in class edu.stanford.nlp.classify.Dataset
A String that is multiple lines of text giving summary statistics.
toSummaryString() - Method in class edu.stanford.nlp.classify.Dataset
 
toSummaryString() - Method in class edu.stanford.nlp.classify.RVFDataset
 
toTaggedList(List<String>, List<String>) - Static method in class edu.stanford.nlp.ling.Sentence
Create an ArrayList as a list of TaggedWord from two lists of String, one for the words, and the second for the tags.
toTaggedWord(Index<String>, Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
totalCount() - Method in class edu.stanford.nlp.stats.ClassicCounter
Computes the total of all counts in this counter, and returns it as a double.
totalCount() - Method in interface edu.stanford.nlp.stats.Counter
Computes the total of all counts in this counter, and returns it as a double.
totalCount() - Method in class edu.stanford.nlp.stats.Distribution
 
totalCount() - Method in class edu.stanford.nlp.stats.GeneralizedCounter
returns the total count of objects in the GeneralizedCounter.
totalCount(Predicate<E>) - Method in class edu.stanford.nlp.stats.IntCounter
 
totalCount() - Method in class edu.stanford.nlp.stats.IntCounter
 
totalCount() - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
Takes linear time.
totalCount(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
 
totalCount() - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
totalCount(K1) - Method in interface edu.stanford.nlp.stats.TwoDimensionalCounterInterface
 
totalCount() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
Takes linear time.
totalCount(K1) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
totalCounts() - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
totalDataSlice - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
totalDoubleCount() - Method in class edu.stanford.nlp.stats.IntCounter
 
totalDoubleCount(Predicate<E>) - Method in class edu.stanford.nlp.stats.IntCounter
 
totalFeatureSlice - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
totalIntCount() - Method in class edu.stanford.nlp.stats.IntCounter
Returns the current total count for all objects in this Counter.
totalIntCount(Predicate<E>) - Method in class edu.stanford.nlp.stats.IntCounter
Returns the total count for all objects in this Counter that pass the given Filter.
totalMass() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
totalMass() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
totalMass() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
totalParamSize() - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
totalParamSize() - Method in class edu.stanford.nlp.sentiment.SentimentModel
 
totalSize() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
toTiedRankCounter(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Converts a counter to tied ranks; ranks start from 1
toTime(SUTime.Time) - Method in class edu.stanford.nlp.time.SUTime.Duration
 
toTime(SUTime.Time, int) - Method in class edu.stanford.nlp.time.SUTime.Duration
 
toUntaggedList(List<String>) - Static method in class edu.stanford.nlp.ling.Sentence
Create an ArrayList as a list of Word from a list of String.
toUntaggedList(String...) - Static method in class edu.stanford.nlp.ling.Sentence
Create a Sentence as a list of Word objects from an array of String objects.
toValidInterval(E, E) - Static method in class edu.stanford.nlp.util.FuzzyInterval
 
toValidInterval(E, E, int) - Static method in class edu.stanford.nlp.util.FuzzyInterval
 
toValidInterval(E, E) - Static method in class edu.stanford.nlp.util.Interval
Create an interval with the specified endpoints, reordering them as needed
toValidInterval(E, E, int) - Static method in class edu.stanford.nlp.util.Interval
Create an interval with the specified endpoints, reordering them as needed, using the specified flags
toVerticalString(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
 
toVerticalString(Counter<E>, int) - Static method in class edu.stanford.nlp.stats.Counters
 
toVerticalString(Counter<E>, String) - Static method in class edu.stanford.nlp.stats.Counters
 
toVerticalString(Counter<E>, int, String) - Static method in class edu.stanford.nlp.stats.Counters
 
toVerticalString(Counter<E>, int, String, boolean) - Static method in class edu.stanford.nlp.stats.Counters
Returns a String representation of the k keys with the largest counts in the given Counter, using the given format string.
toVerticalString() - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue
 
toVerticalString(Map<K, V>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
toWordList(String...) - Static method in class edu.stanford.nlp.ling.Sentence
 
toWordList(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable
 
toXml(String, int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
 
toXml(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceCharSeq
 
toXml(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
toXml(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntity
 
toXml(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
 
toXml(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMention
 
toXml(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMentionArgument
 
toXml(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelation
 
toXml(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceRelationMention
 
toXmlElement() - Method in class edu.stanford.nlp.time.Timex
 
toXmlShort(int) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceMentionArgument
 
tpCount - Variable in class edu.stanford.nlp.stats.MultiClassPrecisionRecallStats
Count of true positives.
tpCount - Variable in class edu.stanford.nlp.stats.PrecisionRecallStats
Count of true positives.
tr(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Swap any occurrences of any characters in the from String in the input String with the corresponding character from the to String.
trackColor - Variable in class edu.stanford.nlp.util.logging.OutputHandler
The color to use for track beginning and ends
trackStack - Variable in class edu.stanford.nlp.util.logging.OutputHandler
Information about the current and higher level tracks
trackStyle - Variable in class edu.stanford.nlp.util.logging.OutputHandler
The style to use for track beginning and ends
train(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
train(GeneralDataset<L, F>, double, double) - Method in class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
train() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Train the classifier based on values in flags.
train(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
train(String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
train(String, String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
train(String[], DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
train(Collection<List<IN>>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Trains a classifier from a Collection of sequences.
train(Collection<List<IN>>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Trains a classifier from a Collection of sequences.
train(Collection<List<IN>>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.ClassifierCombiner
 
train(Collection<List<IN>>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
Trains a classifier from a Collection of sequences.
train(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
train(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
Train on a list of ExtractionSentence containing labeled RelationMention objects
train(Annotation) - Method in interface edu.stanford.nlp.ie.machinereading.Extractor
Trains one extractor model using the given dataset
train(Annotation) - Method in class edu.stanford.nlp.ie.machinereading.ExtractorMerger
 
train(Annotation, int) - Method in class edu.stanford.nlp.ie.machinereading.MachineReading
 
train(Collection<List<IN>>, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
train(Collection<List<CoreLabel>>, DocumentReaderAndWriter<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
train(Collection<List<CoreLabel>>, DocumentReaderAndWriter<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.RegexNERSequenceClassifier
 
train(Collection<Tree>) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
 
train(Tree) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
 
train(List<TaggedWord>) - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
 
train() - Method in class edu.stanford.nlp.international.arabic.process.ArabicSegmenter
Train a segmenter from raw text.
train(List<Tree>, IdentityHashMap<Tree, byte[]>, Treebank, String, String) - Method in class edu.stanford.nlp.parser.dvparser.DVParser
 
train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer
 
train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer
 
train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer
 
train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModelTrainer
Trains this lexicon on the Collection of trees.
train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Trains this lexicon on the Collection of trees.
train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Trains this lexicon on the Collection of trees.
train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
train(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModelTrainer
 
train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
Train this lexicon on the given set of trees.
train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
Train this lexicon on the given set of trees.
train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
TODO: make this method do something with the weight
train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
train(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(Tree) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseUnknownWordModelTrainer
Trains the first-character based unknown word model.
train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModelTrainer
Trains this UWM on the Collection of trees.
train(Collection<Tree>, Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexicon
This method should populate wordIndex, tagIndex, and morphIndex.
train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModelTrainer
Trains this lexicon on the Collection of trees.
train(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Trains this lexicon on the Collection of trees.
train(Collection<Tree>, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
train(Collection<Tree>, Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
train(Tree, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
train(List<TaggedWord>, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Not all subclasses support this particular method.
train(TaggedWord, int, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Not all subclasses support this particular method.
train(TaggedWord, int, double) - Method in class edu.stanford.nlp.parser.lexparser.SpanishUnknownWordModelTrainer
Trains this lexicon on the Collection of trees.
train(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.UnknownGTTrainer
 
train(Collection<Tree>, double) - Method in class edu.stanford.nlp.parser.lexparser.UnknownGTTrainer
 
train(Tree, double) - Method in class edu.stanford.nlp.parser.lexparser.UnknownGTTrainer
 
train(TaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.UnknownGTTrainer
 
train(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
Tallies statistics for this particular collection of trees.
train(Collection<Tree>, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
Tallies statistics for a weighted collection of trees.
train(Tree, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
Tallies statistics for a single tree.
train(TaggedWord, int, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
Tallies statistics for a single word.
train(String, String, String, String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
Train a new dependency parser model.
train(String, String, String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
 
train(String, String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
 
train(Collection<Tree>) - Method in interface edu.stanford.nlp.process.WordSegmenter
 
train(Tree) - Method in interface edu.stanford.nlp.process.WordSegmenter
 
train(List<TaggedWord>) - Method in interface edu.stanford.nlp.process.WordSegmenter
 
train(SentimentModel, String, List<Tree>, List<Tree>) - Static method in class edu.stanford.nlp.sentiment.SentimentTraining
 
trainClassifier(List<RVFDatum<L, F>>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
 
trainClassifier(Collection<Datum<L, F>>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
Takes a Collection of Datum objects and gives you back a Classifier trained on it.
trainClassifier(Reference<? extends Collection<Datum<L, F>>>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
Takes a Reference to a Collection of Datum objects and gives you back a Classifier trained on them
trainClassifier(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
Trains a Classifier on a Dataset.
trainClassifier(List<RVFDatum<L, F>>) - Method in interface edu.stanford.nlp.classify.ClassifierFactory
Deprecated.
trainClassifier(GeneralDataset<L, F>) - Method in interface edu.stanford.nlp.classify.ClassifierFactory
 
trainClassifier(Iterable<Datum<L, F>>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, float[], LogPrior) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainClassifier(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainClassifier(List<RVFDatum<L, F>>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Deprecated.
trainClassifier(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, LogPrior, boolean) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, double) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, double, double) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, double, double, LogPrior) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, double, double, boolean) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainClassifier(GeneralDataset<L, F>, double, double, LogPrior, boolean) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainClassifier(List<RVFDatum<L, F>>) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
Deprecated.
trainClassifier(List<RVFDatum<L, F>>) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
Deprecated.
trainClassifier(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
trainClassifierBasic(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
trainClassifierSemiSup(GeneralDataset<L, F>, GeneralDataset<L, F>, double[][], double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
IMPORTANT: dataset and biasedDataset must have same featureIndex, labelIndex
trainClassifierV(GeneralDataset<L, F>, GeneralDataset<L, F>, double, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Train a classifier with a sigma tuned on a validation set.
trainClassifierV(GeneralDataset<L, F>, double, double, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Train a classifier with a sigma tuned on a validation set.
trainClassifierWithInitialWeights(GeneralDataset<L, F>, double[][]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainClassifierWithInitialWeights(GeneralDataset<L, F>, LinearClassifier<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainDirs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
trainEventsUsingPredictedEntities - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
trainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
trainFileList - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
trainFiles - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
trainFromTreebank(Treebank, GrammarCompactor, Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Construct a new LexicalizedParser.
trainFromTreebank(String, FileFilter, Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
trainFromTreebank(Treebank, Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
trainHierarchical - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
trainingIterations - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
trainingMethod - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
 
trainingThreads - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
If the training algorithm allows for parallelization, how many threads to use
trainingThreads - Variable in class edu.stanford.nlp.parser.nndep.Config
Number of threads to use during training.
trainLengthLimit - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
trainMulticlass(GeneralDataset<String, String>) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
trainOnly - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
evaluation options (ignored if trainOnly is true)
trainOptions - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
trainOptions - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
trainOptions - Variable in class edu.stanford.nlp.parser.lexparser.Options
 
TrainOptions - Class in edu.stanford.nlp.parser.lexparser
Non-language-specific options for training a grammar from a treebank.
TrainOptions() - Constructor for class edu.stanford.nlp.parser.lexparser.TrainOptions
 
trainOptions - Variable in class edu.stanford.nlp.sentiment.RNNOptions
 
TrainOptions.TransformMatrixType - Enum in edu.stanford.nlp.parser.lexparser
 
trainPath - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
trainRelationsUsingPredictedEntities - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
trainSemiSup() - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
trainSemiSupGE(GeneralDataset<L, F>, List<? extends Datum<L, F>>, List<F>, double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Trains the linear classifier using Generalized Expectation criteria as described in Generalized Expectation Criteria for Semi Supervised Learning of Conditional Random Fields, Mann and McCallum, ACL 2008.
trainSemiSupGE(GeneralDataset<L, F>, List<? extends Datum<L, F>>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Trains the linear classifier using Generalized Expectation criteria as described in Generalized Expectation Criteria for Semi Supervised Learning of Conditional Random Fields, Mann and McCallum, ACL 2008.
trainSemiSupGE(GeneralDataset<L, F>, List<? extends Datum<L, F>>, double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainTestFoldsForCV(List<T>, int) - Static method in class edu.stanford.nlp.util.CollectionUtils
Split a list into train, test pairs for use in k-fold crossvalidation.
trainTreeFile - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
trainUnannotated(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
trainUnannotated(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
trainUnannotated(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
trainUnannotated(List<TaggedWord>, double) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Sometimes we might have a sentence of tagged words which we would like to add to the lexicon, but they weren't part of a binarized, markovized, or otherwise annotated tree.
trainUsePipelineNER - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
trainWeightedData(GeneralDataset<L, F>, float[]) - Method in class edu.stanford.nlp.classify.LogisticClassifier
Deprecated.
trainWeightedData(GeneralDataset<L, F>, float[]) - Method in class edu.stanford.nlp.classify.LogisticClassifierFactory
 
trainWeights(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
 
trainWeights(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainWeights(GeneralDataset<L, F>, double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainWeights(GeneralDataset<L, F>, double[], boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainWeights(GeneralDataset<L, F>, double[], boolean, Minimizer<DiffFunction>) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainWeights(GeneralDataset<L, F>) - Method in class edu.stanford.nlp.classify.NBLinearClassifierFactory
 
trainWeights(int[][][][], int[][], Evaluator[], int, double[][][][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
trainWeights(int[][][][], int[][], Evaluator[], int, double[][][][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierFloat
 
trainWeights(int[][][][], int[][], Evaluator[], int, double[][][][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierNonlinear
 
trainWeights(int[][][][], int[][], Evaluator[], int, double[][][][]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifierWithLOP
 
trainWeightsSemiSup(GeneralDataset<L, F>, GeneralDataset<L, F>, double[][], double[]) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
trainWithExpansion(Collection<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Not yet implemented.
trainWordVectors - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Do we want a model that uses word vectors (such as the DVParser) to train those word vectors when training the model?
Note: models prior to 2014-02-13 may have incorrect values in this field, as it was originally a compile time constant
TransducerGraph - Class in edu.stanford.nlp.fsm
TransducerGraph

Class for representing a deterministic finite state automaton without epsilon transitions.

TransducerGraph() - Constructor for class edu.stanford.nlp.fsm.TransducerGraph
 
TransducerGraph(TransducerGraph) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph
 
TransducerGraph(TransducerGraph, TransducerGraph.ArcProcessor) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph
 
TransducerGraph(TransducerGraph, TransducerGraph.NodeProcessor) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph
 
TransducerGraph(Set<TransducerGraph.Arc>, Object, Set, TransducerGraph.ArcProcessor, TransducerGraph.NodeProcessor) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph
 
TransducerGraph(Set<TransducerGraph.Arc>) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph
Uses the Arcs newArcs.
TransducerGraph.Arc<NODE,IN,OUT> - Class in edu.stanford.nlp.fsm
An arc in a finite state transducer.
TransducerGraph.ArcProcessor - Interface in edu.stanford.nlp.fsm
 
TransducerGraph.GraphProcessor - Interface in edu.stanford.nlp.fsm
 
TransducerGraph.InputSplittingProcessor - Class in edu.stanford.nlp.fsm
 
TransducerGraph.NodeProcessor - Interface in edu.stanford.nlp.fsm
 
TransducerGraph.NodeProcessorWrappingArcProcessor - Class in edu.stanford.nlp.fsm
 
TransducerGraph.NormalizingGraphProcessor - Class in edu.stanford.nlp.fsm
 
TransducerGraph.ObjectToSetNodeProcessor - Class in edu.stanford.nlp.fsm
 
TransducerGraph.OutputCombiningProcessor - Class in edu.stanford.nlp.fsm
 
TransducerGraph.SetToStringNodeProcessor - Class in edu.stanford.nlp.fsm
 
TransferActionListener() - Constructor for class edu.stanford.nlp.trees.tregex.gui.TregexGUI.TransferActionListener
 
transferAnnotations(CoreLabel, CoreLabel) - Static method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
Transfer from src to dst all annotations generated bu SUTime and NumberNormalizer
transferSigmas - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
transform(NodePattern<T1>) - Method in interface edu.stanford.nlp.ling.tokensregex.NodePatternTransformer
 
transform(MultiNodePattern<T1>) - Method in interface edu.stanford.nlp.ling.tokensregex.NodePatternTransformer
 
transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
 
transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
 
transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
 
transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
 
transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
 
transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
 
transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
 
transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
 
transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
 
transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
 
transform(NodePatternTransformer<T, T2>) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern
 
transform(NodePatternTransformer) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
 
transform(Counter<T1>, Function<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the counter with keys modified according to function F.
transform(TreeTransformer) - Method in class edu.stanford.nlp.trees.MemoryTreebank
Return a MemoryTreebank where each Tree in the current treebank has been transformed using the TreeTransformer.
transform(TreeTransformer) - Method in class edu.stanford.nlp.trees.Tree
Create a transformed Tree.
transform(TreeTransformer, TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Create a transformed Tree.
transform(TreeTransformer) - Method in class edu.stanford.nlp.trees.Treebank
Return a Treebank (actually a TransformingTreebank) where each Tree in the current treebank has been transformed using the TreeTransformer.
transform(Iterable<K>, Function<? super K, ? extends V>) - Static method in class edu.stanford.nlp.util.Iterables
Transformed view of the given iterable.
transformAsList(Collection<? extends T1>, Function<T1, ? extends T2>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Transforms the keyset of collection according to the given Function and returns a list
transformAsSet(Collection<? extends T1>, Function<T1, ? extends T2>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Transforms the keyset of collection according to the given Function and returns a set of the keys
transformHelper(Tree) - Method in class edu.stanford.nlp.trees.RecursiveTreeTransformer
 
TransformingTreebank - Class in edu.stanford.nlp.trees
This class wraps another Treebank, and will vend trees that have been through a TreeTransformer.
TransformingTreebank() - Constructor for class edu.stanford.nlp.trees.TransformingTreebank
Create a new TransformingTreebank.
TransformingTreebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.TransformingTreebank
Create a new TransformingTreebank.
TransformingTreebank(Treebank, TreeTransformer) - Constructor for class edu.stanford.nlp.trees.TransformingTreebank
Create a new TransformingTreebank from a base Treebank that will transform trees with the given TreeTransformer.
transformLabel(Tree) - Method in class edu.stanford.nlp.trees.RecursiveTreeTransformer
 
transformMatrixType - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
 
transformNonterminal(Tree) - Method in class edu.stanford.nlp.trees.RecursiveTreeTransformer
 
transformNonterminalLabel(Tree) - Method in class edu.stanford.nlp.trees.BasicCategoryTreeTransformer
 
transformNonterminalLabel(Tree) - Method in class edu.stanford.nlp.trees.RecursiveTreeTransformer
 
transformPatternsToIndex(Counter<SurfacePattern>) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
transformPatternsToSurface(Counter<Integer>) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
transformPatternToIndex(SurfacePattern) - Method in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
transformTerminal(Tree) - Method in class edu.stanford.nlp.trees.RecursiveTreeTransformer
 
transformTerminalLabel(Tree) - Method in class edu.stanford.nlp.trees.RecursiveTreeTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.RemoveGFSubcategoryStripper
 
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.SubcategoryStripper
 
transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
This method does language-specific tree transformations such as annotating particular nodes with language-relevant features.
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams.ArabicSubcategoryStripper
 
transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
 
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.BoundaryRemover
 
transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
transformTree does all language-specific tree transformations.
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.CollinsPuncTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.Debinarizer
 
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishSubcategoryStripper
 
transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
This method does language-specific tree transformations such as annotating particular nodes with language-relevant features.
transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
transformTree does all language-specific tree transformations.
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotator
Do the category splitting of the tree passed in.
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
The tree t is normally expected to be a Penn-Treebank-style tree in which the top node is an extra node that has a unary expansion.
transformTree(Tree, Tree) - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
This method does language-specific tree transformations such as annotating particular nodes with language-relevant features.
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeBinarizer
Binarizes the tree according to options set up in the constructor.
transformTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeCollinizer
 
transformTree(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
This method does language-specific tree transformations such as annotating particular nodes with language-relevant features.
transformTree(Tree) - Method in class edu.stanford.nlp.sentiment.CollapseUnaryTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.CompositeTreeTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.CoordinationTransformer
Transforms t if it contains a coordination in a flat structure (CCtransform) and transforms UCP (UCPtransform).
transformTree(Tree) - Method in class edu.stanford.nlp.trees.DateTreeTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.DependencyTreeTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.QPTreeTransformer
Right now (Jan 2013) we only deal with the following QP structures: NP (QP ...) (QP (CC and/or) ...) QP (RB IN CD|DT ...) well over, more than QP (JJR IN CD|DT ...) fewer than QP (IN JJS CD|DT ...) at least QP (...
transformTree(Tree) - Method in class edu.stanford.nlp.trees.RecursiveTreeTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.SynchronizedTreeTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.TreeLeafLabelTransformer
 
transformTree(Tree) - Method in class edu.stanford.nlp.trees.TreeLemmatizer
 
transformTree(Tree) - Method in interface edu.stanford.nlp.trees.TreeTransformer
Does whatever one needs to do to a particular tree.
transformTreeHelper(Tree) - Method in class edu.stanford.nlp.parser.lexparser.Debinarizer
 
transformTrees(Treebank) - Method in class edu.stanford.nlp.trees.EnglishPTBTreebankCorrector
Fix all the English Penn Treebank errors, or at least some of them (!).
transformTrees(Treebank) - Method in interface edu.stanford.nlp.trees.TreebankTransformer
 
transformValues() - Method in class edu.stanford.nlp.maxent.iis.LambdaSolve
This is a specialized procedure to change the values of parses for semantic ranking.
transformValuesInPlace(Counter<E>, Function<Double, Double>) - Static method in class edu.stanford.nlp.stats.Counters
 
transformWithValuesAdd(Counter<T1>, Function<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters
Returns the counter with keys modified according to function F.
TransformXML<T> - Class in edu.stanford.nlp.process
Reads XML from an input file or stream and writes XML to an output file or stream, while transforming text appearing inside specified XML tags by applying a specified Function.
TransformXML() - Constructor for class edu.stanford.nlp.process.TransformXML
 
transformXML(String[], Function<String, T>, File) - Method in class edu.stanford.nlp.process.TransformXML
Read XML from the specified file and write XML to stdout, while transforming text appearing inside the specified XML tags by applying the specified Function.
transformXML(String[], Function<String, T>, File, File) - Method in class edu.stanford.nlp.process.TransformXML
Read XML from the specified file and write XML to specified file, while transforming text appearing inside the specified XML tags by applying the specified Function.
transformXML(String[], Function<String, T>, InputStream) - Method in class edu.stanford.nlp.process.TransformXML
Read XML from input stream and write XML to stdout, while transforming text appearing inside the specified XML tags by applying the specified Function.
transformXML(String[], Function<String, T>, InputStream, OutputStream) - Method in class edu.stanford.nlp.process.TransformXML
Read XML from input stream and write XML to output stream, while transforming text appearing inside the specified XML tags by applying the specified Function.
transformXML(String[], Function<String, T>, InputStream, Writer) - Method in class edu.stanford.nlp.process.TransformXML
Read XML from input stream and write XML to output stream, while transforming text appearing inside the specified XML tags by applying the specified Function.
transformXML(String[], Function<String, T>, InputStream, Writer, TransformXML.SAXInterface<T>) - Method in class edu.stanford.nlp.process.TransformXML
Calls the fully specified transformXML with an InputSource constructed from in.
transformXML(String[], Function<String, T>, Reader, Writer, TransformXML.SAXInterface<T>) - Method in class edu.stanford.nlp.process.TransformXML
Calls the fully specified transformXML with an InputSource constructed from in.
transformXML(String[], Function<String, T>, InputSource, Writer, TransformXML.SAXInterface<T>) - Method in class edu.stanford.nlp.process.TransformXML
Read XML from input source and write XML to output writer, while transforming text appearing inside the specified XML tags by applying the specified Function.
TransformXML.NoEscapingSAXInterface<T> - Class in edu.stanford.nlp.process
This version of the SAXInterface doesn't escape the text produced by the function.
TransformXML.SAXInterface<T> - Class in edu.stanford.nlp.process
 
transition(T) - Method in class edu.stanford.nlp.fsm.DFSAState
 
Transition - Interface in edu.stanford.nlp.parser.shiftreduce
An interface which defines a transition type in the shift-reduce parser.
transitionEdgeOnly - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
transitions() - Method in class edu.stanford.nlp.fsm.DFSAState
 
transitions - Variable in class edu.stanford.nlp.parser.nndep.ParsingSystem
 
transparentNouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
 
traverseLocate(Tree[], String[], boolean) - Method in class edu.stanford.nlp.trees.AbstractCollinsHeadFinder
Attempt to locate head daughter tree from among daughters.
tree - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel
 
Tree - Class in edu.stanford.nlp.trees
The abstract class Tree is used to collect all of the tree types, and acts as a generic extendable type.
Tree() - Constructor for class edu.stanford.nlp.trees.Tree
 
TREE_FILTER - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
TREE_NORMALIZER - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
TREE_RANGE - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
TREE_READER - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
TREE_SET_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
 
TREE_TRANSFORMER - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
TreeAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.TreeAnnotation
 
TreeAnnotator - Class in edu.stanford.nlp.parser.lexparser
Performs non-language specific annotation of Trees.
TreeAnnotator(HeadFinder, TreebankLangParserParams, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeAnnotator
 
TreeAnnotatorAndBinarizer - Class in edu.stanford.nlp.parser.lexparser
 
TreeAnnotatorAndBinarizer(TreebankLangParserParams, boolean, boolean, boolean, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
 
TreeAnnotatorAndBinarizer(HeadFinder, HeadFinder, TreebankLangParserParams, boolean, boolean, boolean, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer
 
treebank() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Implemented as required by TreebankFactory.
treebank() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Required to extend TreebankFactory
Treebank - Class in edu.stanford.nlp.trees
A Treebank object provides access to a corpus of examples with given tree structures.
Treebank() - Constructor for class edu.stanford.nlp.trees.Treebank
Create a new Treebank (using a LabeledScoredTreeReaderFactory).
Treebank(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.Treebank
Create a new Treebank.
Treebank(TreeReaderFactory, String) - Constructor for class edu.stanford.nlp.trees.Treebank
Create a new Treebank.
Treebank(int) - Constructor for class edu.stanford.nlp.trees.Treebank
Create a new Treebank.
Treebank(int, TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.Treebank
Create a new Treebank.
treebank() - Method in interface edu.stanford.nlp.trees.TreebankFactory
Returns a treebank instance
TreebankAnnotator - Class in edu.stanford.nlp.parser.lexparser
Class for getting an annotated treebank.
TreebankAnnotator(Options, String) - Constructor for class edu.stanford.nlp.parser.lexparser.TreebankAnnotator
 
TreebankFactory - Interface in edu.stanford.nlp.trees
An interface for treebank vendors.
treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
Returns the extension of treebank files for this treebank.
treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
Returns the extension of treebank files for this treebank.
treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
Returns the extension of treebank files for this treebank.
treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
Returns the extension of treebank files for this treebank.
treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
Returns the extension of treebank files for this treebank.
treebankFileExtension() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
 
treebankFileExtension() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
Returns the extension of treebank files for this treebank.
treebankFileExtension() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns the extension of treebank files for this treebank.
TreebankLangParserParams - Interface in edu.stanford.nlp.parser.lexparser
Contains language-specific methods necessary to get the parser to parse an arbitrary treebank.
treebankLanguagePack() - Method in class edu.stanford.nlp.parser.common.ParserGrammar
 
treebankLanguagePack() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns an appropriate treebankLanguagePack
treebankLanguagePack() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
contains Treebank-specific (but not parser-specific) info such as what is punctuation, and also information about the structure of labels
treebankLanguagePack() - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
treebankLanguagePack() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
returns a TreebankLanguagePack containing Treebank-specific (but not parser-specific) info such as what is punctuation, and also information about the structure of labels
treebankLanguagePack() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
TreebankLanguagePack - Interface in edu.stanford.nlp.trees
This interface specifies language/treebank specific information for a Treebank, which a parser or other treebank user might need to know.
Treebanks - Class in edu.stanford.nlp.trees
This is just a main method and other static methods for command-line manipulation, statistics, and testing of Treebank objects.
TreebankTransformer - Interface in edu.stanford.nlp.trees
 
TreeBinarizer - Class in edu.stanford.nlp.parser.lexparser
Binarizes trees in such a way that head-argument structure is respected.
TreeBinarizer(HeadFinder, TreebankLanguagePack, boolean, boolean, int, boolean, boolean, double, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeBinarizer
Build a custom binarizer for Trees.
TreeCollinizer - Class in edu.stanford.nlp.parser.lexparser
Does detransformations to a parsed sentence to map it back to the standard treebank form for output or evaluation.
TreeCollinizer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeCollinizer
 
TreeCollinizer(TreebankLanguagePack, boolean, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeCollinizer
 
TreeCollinizer(TreebankLanguagePack, boolean, boolean, int) - Constructor for class edu.stanford.nlp.parser.lexparser.TreeCollinizer
 
TreeCoreAnnotations - Class in edu.stanford.nlp.trees
Set of common annotations for CoreMaps that require classes from the trees package.
TreeCoreAnnotations.BinarizedTreeAnnotation - Class in edu.stanford.nlp.trees
The CoreMap key for getting the binarized version of the syntactic parse tree of a sentence.
TreeCoreAnnotations.HeadTagAnnotation - Class in edu.stanford.nlp.trees
The standard key for storing a head tag in the map as a pointer to another node.
TreeCoreAnnotations.HeadWordAnnotation - Class in edu.stanford.nlp.trees
The standard key for storing a head word in the map as a pointer to another node.
TreeCoreAnnotations.TreeAnnotation - Class in edu.stanford.nlp.trees
The CoreMap key for getting the syntactic parse tree of a sentence.
treeFactory() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode
Return a TreeFactory that produces trees of the same type as the current Tree.
treeFactory() - Method in class edu.stanford.nlp.trees.SimpleTree
Return a TreeFactory that produces trees of the SimpleTree type.
treeFactory() - Method in class edu.stanford.nlp.trees.Tree
Return a TreeFactory that produces trees of the appropriate type.
TreeFactory - Interface in edu.stanford.nlp.trees
A TreeFactory acts as a factory for creating objects of class Tree, or some descendant class.
treeFactory() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Returns a TreeFactory that produces TreeGraphNodes.
treeFilter - Variable in class edu.stanford.nlp.parser.dvparser.CacheParseHypotheses
 
TreeFilters - Class in edu.stanford.nlp.trees
A location for general implementations of Filter<Tree>.
TreeFilters.HasMatchingChild - Class in edu.stanford.nlp.trees
 
TreeFromFile - Class in edu.stanford.nlp.trees.tregex.gui
Simple utility class for storing a tree as well as the sentence the tree represents and a label with the filename of the file that the tree was stored in.
TreeFromFile(Tree) - Constructor for class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
 
TreeFromFile(Tree, String) - Constructor for class edu.stanford.nlp.trees.tregex.gui.TreeFromFile
 
TreeFunctions - Class in edu.stanford.nlp.trees
This is a utility class which vends tree transformers to translate trees from one factory type to trees of another.
treeGraph() - Method in class edu.stanford.nlp.trees.TreeGraphNode
Get the GrammaticalStructure of which this node is a part.
TreeGraphNode - Class in edu.stanford.nlp.trees
A TreeGraphNode is simply a Tree with some additional functionality.
TreeGraphNode() - Constructor for class edu.stanford.nlp.trees.TreeGraphNode
Create a new empty TreeGraphNode.
TreeGraphNode(Label) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode
Create a new TreeGraphNode with the supplied label.
TreeGraphNode(Label, List<Tree>) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode
Create a new TreeGraphNode with the supplied label and list of child nodes.
TreeGraphNode(Tree, GrammaticalStructure) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode
Create a new TreeGraphNode having the same tree structure and label values as an existing tree (but no shared storage).
TreeGraphNode(TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode
 
TreeGraphNode(Tree, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.TreeGraphNode
Create a new TreeGraphNode having the same tree structure and label values as an existing tree (but no shared storage).
TreeGraphNodeFactory - Class in edu.stanford.nlp.trees
A TreeGraphNodeFactory acts as a factory for creating nodes in a TreeGraph.
TreeGraphNodeFactory() - Constructor for class edu.stanford.nlp.trees.TreeGraphNodeFactory
Make a TreeFactory that produces TreeGraphNodes.
TreeGraphNodeFactory(LabelFactory) - Constructor for class edu.stanford.nlp.trees.TreeGraphNodeFactory
 
TreeJPanel - Class in edu.stanford.nlp.parser.ui
Class for displaying a Tree.
TreeJPanel() - Constructor for class edu.stanford.nlp.parser.ui.TreeJPanel
 
TreeJPanel(int, int) - Constructor for class edu.stanford.nlp.parser.ui.TreeJPanel
 
TreeJPanel.WidthResult - Class in edu.stanford.nlp.parser.ui
 
TreeLeafLabelTransformer - Class in edu.stanford.nlp.trees
Applies a Function to the labels in a tree.
TreeLeafLabelTransformer(Function<String, String>) - Constructor for class edu.stanford.nlp.trees.TreeLeafLabelTransformer
 
TreeLemmatizer - Class in edu.stanford.nlp.trees
 
TreeLemmatizer() - Constructor for class edu.stanford.nlp.trees.TreeLemmatizer
 
TreeLengthComparator - Class in edu.stanford.nlp.trees
A TreeLengthComparator orders trees by their yield sentence lengths.
TreeLengthComparator() - Constructor for class edu.stanford.nlp.trees.TreeLengthComparator
Create a new TreeLengthComparator.
treeMap() - Static method in class edu.stanford.nlp.util.TwoDimensionalMap
 
treeMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
Return a MapFactory that returns a TreeMap.
treeMapFactory(Comparator<? super K>) - Static method in class edu.stanford.nlp.util.MapFactory
Return a MapFactory that returns a TreeMap with the given Comparator.
TreeNode() - Constructor for class edu.stanford.nlp.util.IntervalTree.TreeNode
 
treeNodeChanged(FileTreeNode) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel
 
treeNodeChanged(FileTreeNode) - Method in interface edu.stanford.nlp.trees.tregex.gui.FileTreeNode.FileTreeNodeListener
 
TreeNormalizer - Class in edu.stanford.nlp.trees
A class for tree normalization.
TreeNormalizer() - Constructor for class edu.stanford.nlp.trees.TreeNormalizer
 
treePrint(TreebankLangParserParams) - Method in class edu.stanford.nlp.parser.lexparser.TestOptions
Determines method for print trees on output.
TreePrint - Class in edu.stanford.nlp.trees
A class for customizing the print method(s) for a edu.stanford.nlp.trees.Tree as the output of the parser.
TreePrint(String) - Constructor for class edu.stanford.nlp.trees.TreePrint
Construct a new TreePrint that will print the given formats.
TreePrint(String, TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.TreePrint
Make a TreePrint instance with no options specified.
TreePrint(String, String, TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.TreePrint
Make a TreePrint instance.
TreePrint(String, String, TreebankLanguagePack, HeadFinder, HeadFinder) - Constructor for class edu.stanford.nlp.trees.TreePrint
Make a TreePrint instance.
TreeReader - Interface in edu.stanford.nlp.trees
A TreeReader adds functionality to another Reader by reading in Trees, or some descendant class.
treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
Creates an ArabicTreeReaderFactory with parameters set via options passed in from the command line.
treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
Makes appropriate TreeReaderFactory with all options specified
treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
 
treeReaderFactory() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
treeReaderFactory() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
Returns a factory for reading in trees from the source you want.
treeReaderFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Returns a TreeReaderFactory suitable for general purpose use with this language/treebank.
treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
 
treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
 
treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
 
treeReaderFactory() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
 
treeReaderFactory() - Method in class edu.stanford.nlp.trees.Treebank
Get the TreeReaderFactory for a Treebank -- this method is provided in order to make the TreeReaderFactory available to subclasses.
treeReaderFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Returns a TreeReaderFactory suitable for general purpose use with this language/treebank.
TreeReaderFactory - Interface in edu.stanford.nlp.trees
A TreeReaderFactory is a factory for creating objects of class TreeReader, or some descendant class.
TreeRecorder - Class in edu.stanford.nlp.parser.shiftreduce
Outputs either binarized or debinarized trees to a given filename.
TreeRecorder(TreeRecorder.Mode, String) - Constructor for class edu.stanford.nlp.parser.shiftreduce.TreeRecorder
 
TreeRecorder.Mode - Enum in edu.stanford.nlp.parser.shiftreduce
 
Trees - Class in edu.stanford.nlp.trees
Various static utilities for the Tree class.
treeSet() - Static method in class edu.stanford.nlp.util.TwoDimensionalSet
 
treeSetFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory
 
TreeSetFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
 
TreeShapedStack<T> - Class in edu.stanford.nlp.util
Represents a stack where one prefix of the stack can branch in several directions.
TreeShapedStack() - Constructor for class edu.stanford.nlp.util.TreeShapedStack
Creates an empty stack.
treeSkeletonCopy() - Method in class edu.stanford.nlp.trees.Tree
Create a deep copy of the tree structure.
treeSkeletonCopy(TreeFactory) - Method in class edu.stanford.nlp.trees.Tree
Create a deep copy of the tree structure.
TreeSpanScoring - Class in edu.stanford.nlp.parser.metrics
Provides a method for deciding how similar two trees are.
TreeTaggedFileReader - Class in edu.stanford.nlp.tagger.io
 
TreeTaggedFileReader(TaggedFileRecord) - Constructor for class edu.stanford.nlp.tagger.io.TreeTaggedFileReader
 
treeToDependencyHelper(Tree, List<IntDependency>, int, Index<String>, Index<String>) - Static method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Adds dependencies to list depList.
treeToDependencyList(Tree, Index<String>, Index<String>) - Static method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Returns the List of dependencies for a binarized Tree.
treeToEvents(Tree) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
treeTokenizerFactory() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
 
treeTokenizerFactory() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
 
treeTokenizerFactory() - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack
Return a TokenizerFactory for Trees of this language/treebank.
treeTokenizerFactory() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
Return a TokenizerFactory for Trees of this language/treebank.
TreeTokenizerFactory - Class in edu.stanford.nlp.trees
Wrapper for TreeReaderFactory.
TreeTokenizerFactory(TreeReaderFactory) - Constructor for class edu.stanford.nlp.trees.TreeTokenizerFactory
Create a TreeTokenizerFactory from a TreeReaderFactory.
treeToLatex(Tree) - Static method in class edu.stanford.nlp.trees.Trees
 
treeToLatexEven(Tree) - Static method in class edu.stanford.nlp.trees.Trees
 
TreeTransformer - Interface in edu.stanford.nlp.trees
This is a simple interface for a function that alters a local Tree.
TreeVisitor - Interface in edu.stanford.nlp.trees
This is a simple strategy-type interface for operations that are applied to Tree.
TregexGUI - Class in edu.stanford.nlp.trees.tregex.gui
Main class for creating a tregex gui.
TregexGUI.FilterType - Enum in edu.stanford.nlp.trees.tregex.gui
 
TregexGUI.TransferActionListener - Class in edu.stanford.nlp.trees.tregex.gui
 
TregexMatcher - Class in edu.stanford.nlp.trees.tregex
A TregexMatcher can be used to match a TregexPattern against a Tree.
TregexParseException - Exception in edu.stanford.nlp.trees.tregex
A runtime exception that indicates something went wrong parsing a tregex expression.
TregexParseException(String, Throwable) - Constructor for exception edu.stanford.nlp.trees.tregex.TregexParseException
 
TregexPattern - Class in edu.stanford.nlp.trees.tregex
A TregexPattern is a tgrep-type pattern for matching tree node configurations.
TregexPattern.TRegexTreeReaderFactory - Class in edu.stanford.nlp.trees.tregex
 
TregexPatternCompiler - Class in edu.stanford.nlp.trees.tregex
A class for compiling TregexPatterns with specific HeadFinders and or basicCategoryFunctions.
TregexPatternCompiler() - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
 
TregexPatternCompiler(Function<String, String>) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
A compiler that uses this basicCatFunction and the default HeadFinder.
TregexPatternCompiler(HeadFinder) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
A compiler that uses this HeadFinder and the default basicCategoryFunction
TregexPatternCompiler(HeadFinder, Function<String, String>) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPatternCompiler
A compiler that uses this HeadFinder and this basicCategoryFunction
TregexPoweredTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser
An extension of AbstractTreebankParserParams which provides support for Tregex-powered annotations.
TregexPoweredTreebankParserParams(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams
 
TregexPoweredTreebankParserParams.AnnotateHeadFunction - Class in edu.stanford.nlp.parser.lexparser
Annotate a tree constituent with its lexical head.
TregexPoweredTreebankParserParams.SimpleStringFunction - Class in edu.stanford.nlp.parser.lexparser
Annotates all nodes that match the tregex query with some string.
TRegexTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.tregex.TregexPattern.TRegexTreeReaderFactory
 
TRegexTreeReaderFactory(TreeNormalizer) - Constructor for class edu.stanford.nlp.trees.tregex.TregexPattern.TRegexTreeReaderFactory
 
TrieMap<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher
Map that takes a iterable as key, and maps it to an value.
TrieMap() - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
TrieMap(int) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
TrieMapMatcher<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher
The TrieMapMatcher provides functions to match against a trie.
TrieMapMatcher(TrieMap<K, V>) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
 
TrieMapMatcher(TrieMap<K, V>, List<K>) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
 
triggerAllHooks(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
TriggerAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.TriggerAnnotation
 
triggerHooks(Edge) - Method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
trim(String, int) - Static method in class edu.stanford.nlp.util.StringUtils
Returns s if it's at most maxWidth chars, otherwise chops right side to fit.
trim(Object, int) - Static method in class edu.stanford.nlp.util.StringUtils
 
trimData() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
trimLabels() - Method in class edu.stanford.nlp.classify.GeneralDataset
 
trimToSize(int[]) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
trimToSize(int[][]) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
trimToSize(double[][]) - Method in class edu.stanford.nlp.classify.GeneralDataset
 
Triple<T1,T2,T3> - Class in edu.stanford.nlp.util
Class representing an ordered triple of objects, possibly typed.
Triple(T1, T2, T3) - Constructor for class edu.stanford.nlp.util.Triple
 
TRUE - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
truecase(Properties, AnnotatorImplementations) - Static method in class edu.stanford.nlp.pipeline.AnnotatorFactories
 
trueCase(Properties, String, String, String, boolean) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
Infer the original casing of tokens
TRUECASE_REQUIREMENT - Static variable in interface edu.stanford.nlp.pipeline.Annotator
 
TrueCaseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseAnnotation
 
TrueCaseAnnotator - Class in edu.stanford.nlp.pipeline
 
TrueCaseAnnotator() - Constructor for class edu.stanford.nlp.pipeline.TrueCaseAnnotator
 
TrueCaseAnnotator(boolean) - Constructor for class edu.stanford.nlp.pipeline.TrueCaseAnnotator
 
TrueCaseAnnotator(String, String, String, boolean) - Constructor for class edu.stanford.nlp.pipeline.TrueCaseAnnotator
 
TrueCaseTextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueCaseTextAnnotation
 
TrueCasingForNISTDocumentReaderAndWriter - Class in edu.stanford.nlp.sequences
adapt from Jenny's TrueCasingDocumentReaderAndWriter.java
TrueCasingForNISTDocumentReaderAndWriter() - Constructor for class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter
 
TrueCasingForNISTDocumentReaderAndWriter.LineToTrueCasesParser - Class in edu.stanford.nlp.sequences
 
TrueTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.TrueTagAnnotation
 
truncate(int, int, int) - Static method in class edu.stanford.nlp.util.StringUtils
This returns a string from decimal digit smallestDigit to decimal digit biggest digit.
tryEta(AbstractStochasticCachingDiffUpdateFunction, double[], int[], double) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
 
Tsurgeon - Class in edu.stanford.nlp.trees.tregex.tsurgeon
Tsurgeon provides a way of editing trees based on a set of operations that are applied to tree locations matching a tregex pattern.
TsurgeonMatcher - Class in edu.stanford.nlp.trees.tregex.tsurgeon
An object factored out to keep the state of a Tsurgeon operation separate from the TsurgeonPattern objects.
TsurgeonMatcher(TsurgeonPattern, Map<String, Tree>, CoindexationGenerator) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonMatcher
 
TsurgeonParseException - Exception in edu.stanford.nlp.trees.tregex.tsurgeon
A runtime exception that indicates something went wrong parsing a Tsurgeon expression.
TsurgeonParseException(String) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParseException
 
TsurgeonParseException(String, Throwable) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonParseException
 
TsurgeonParserTreeConstants - Interface in edu.stanford.nlp.trees.tregex.tsurgeon
 
TsurgeonPattern - Class in edu.stanford.nlp.trees.tregex.tsurgeon
An abstract class for patterns to manipulate Trees when successfully matched on with a TregexMatcher.
TsurgeonRuntimeException - Exception in edu.stanford.nlp.trees.tregex.tsurgeon
Something has gone wrong internally in Tsurgeon
TsurgeonRuntimeException(String) - Constructor for exception edu.stanford.nlp.trees.tregex.tsurgeon.TsurgeonRuntimeException
Creates a new exception with a message.
TSVTaggedFileReader - Class in edu.stanford.nlp.tagger.io
 
TSVTaggedFileReader(TaggedFileRecord) - Constructor for class edu.stanford.nlp.tagger.io.TSVTaggedFileReader
 
TTags - Class in edu.stanford.nlp.tagger.maxent
This class holds the POS tags, assigns them unique ids, and knows which tags are open versus closed class.
TTags() - Constructor for class edu.stanford.nlp.tagger.maxent.TTags
 
TueBaDZHeadFinder - Class in edu.stanford.nlp.trees.international.tuebadz
A HeadFinder for TueBa-D/Z.
TueBaDZHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZHeadFinder
 
TueBaDZLanguagePack - Class in edu.stanford.nlp.trees.international.tuebadz
Language pack for the Tuebingen Treebank of Written German (TueBa-D/Z).
TueBaDZLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
Gives a handle to the TreebankLanguagePack
TueBaDZLanguagePack(boolean) - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
Make a new language pack with grammatical functions used based on the value of leaveGF
TueBaDZLanguagePack(boolean, char) - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
Make a new language pack with grammatical functions used based on the value of leaveGF and marked with the character gfChar.
TueBaDZLanguagePack(boolean, boolean, char) - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
Make a new language pack with grammatical functions used based on the value of leaveGF and marked with the character gfChar.
TueBaDZPennTreeNormalizer - Class in edu.stanford.nlp.trees.international.tuebadz
Tree normalizer for the TueBaDZ treebank.
TueBaDZPennTreeNormalizer(TreebankLanguagePack, int) - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer
 
TueBaDZPennTreeNormalizer(TreebankLanguagePack, int, List<TreeNormalizer>) - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZPennTreeNormalizer
 
TueBaDZTreeReaderFactory - Class in edu.stanford.nlp.trees.international.tuebadz
 
TueBaDZTreeReaderFactory(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZTreeReaderFactory
 
TueBaDZTreeReaderFactory(TreebankLanguagePack, int) - Constructor for class edu.stanford.nlp.trees.international.tuebadz.TueBaDZTreeReaderFactory
 
TUESDAY - Static variable in class edu.stanford.nlp.time.SUTime
 
tune(Function, double[], long, double, double) - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.InefficientSGDMinimizer
 
tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
tune(AbstractStochasticCachingDiffUpdateFunction, double[], int, double) - Method in class edu.stanford.nlp.optimization.SGDMinimizer
Finds a good learning rate to start with.
tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.SMDMinimizer
 
tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.SQNMinimizer
 
tune(Function, double[], long) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
tune(Function, double[], long, List<Integer>, List<Double>) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
tune(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
Default is no-op.
tune() - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
TODO: this used to actually score things based on the original trees
tune(Collection<Tree>) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
Tune free parameters on these trees.
tune(Collection<Tree>) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Tune the smoothing and interpolation parameters of the dependency grammar based on a tuning treebank.
tuneBatch(Function, double[], long, int) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
tuneDouble(Function, double[], long, StochasticMinimizer.PropertySetter<Double>, double, double) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
tuneDouble(Function, double[], long, StochasticMinimizer.PropertySetter<Double>, double, double, double) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
tuneFixedGain(Function, double[], long, double) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
tuneGain(Function, double[], long, double, double) - Method in class edu.stanford.nlp.optimization.StochasticMinimizer
 
tuneSampleSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
tuneSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
tuneThresholdKeepRunning - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Reduce pattern threshold (=0.8*current_value) to extract as many patterns as possible (still restricted by numPatterns)
tuningSamples - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
TWILIGHT - Static variable in class edu.stanford.nlp.time.SUTime
 
twinless - Variable in class edu.stanford.nlp.dcoref.Mention
 
TwoDimensionalCollectionValuedMap<K1,K2,V> - Class in edu.stanford.nlp.util
A class which can store mappings from Object keys to Collections of Object values.
TwoDimensionalCollectionValuedMap() - Constructor for class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
Creates a new empty TwoDimensionalCollectionValuedMap which uses a HashMap as the underlying Map, and HashSets as the Collections in each mapping.
TwoDimensionalCollectionValuedMap(CollectionFactory<V>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
Creates a new empty TwoDimensionalCollectionValuedMap which uses a HashMap as the underlying Map.
TwoDimensionalCollectionValuedMap(MapFactory<K2, Collection<V>>, CollectionFactory<V>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
Creates a new empty TwoDimensionalCollectionValuedMap.
TwoDimensionalCollectionValuedMap(MapFactory<K2, Collection<V>>, CollectionFactory<V>, boolean) - Constructor for class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
Creates a new empty TwoDimensionalCollectionValuedMap.
TwoDimensionalCounter<K1,K2> - Class in edu.stanford.nlp.stats
A class representing a mapping between pairs of typed objects and double values.
TwoDimensionalCounter() - Constructor for class edu.stanford.nlp.stats.TwoDimensionalCounter
 
TwoDimensionalCounter(MapFactory<K1, ClassicCounter<K2>>, MapFactory<K2, MutableDouble>) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalCounter
 
TwoDimensionalCounterInterface<K1,K2> - Interface in edu.stanford.nlp.stats
Interface representing a mapping between pairs of typed objects and double values.
TwoDimensionalIntCounter<K1,K2> - Class in edu.stanford.nlp.stats
A class representing a mapping between pairs of typed objects and int values.
TwoDimensionalIntCounter() - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
TwoDimensionalIntCounter(int) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
TwoDimensionalIntCounter(MapFactory<K1, IntCounter<K2>>, MapFactory<K2, MutableInteger>) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
TwoDimensionalIntCounter(MapFactory<K1, IntCounter<K2>>, MapFactory<K2, MutableInteger>, int) - Constructor for class edu.stanford.nlp.stats.TwoDimensionalIntCounter
 
TwoDimensionalMap<K1,K2,V> - Class in edu.stanford.nlp.util
 
TwoDimensionalMap() - Constructor for class edu.stanford.nlp.util.TwoDimensionalMap
 
TwoDimensionalMap(TwoDimensionalMap<K1, K2, V>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalMap
 
TwoDimensionalMap(MapFactory<K1, Map<K2, V>>, MapFactory<K2, V>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalMap
 
TwoDimensionalMap.Entry<K1,K2,V> - Class in edu.stanford.nlp.util
This inner class represents a single entry in the TwoDimensionalMap.
TwoDimensionalSet<K1,K2> - Class in edu.stanford.nlp.util
Wrap a TwoDimensionalMap as a TwoDimensionalSet.
TwoDimensionalSet() - Constructor for class edu.stanford.nlp.util.TwoDimensionalSet
 
TwoDimensionalSet(TwoDimensionalMap<K1, K2, Boolean>) - Constructor for class edu.stanford.nlp.util.TwoDimensionalSet
 
twoStage - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
type - Variable in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
Type of this mention, e.g., GPE
type - Variable in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier.LabelTagType
 
type - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
TYPE_ANNOTATION_KEY - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
TYPE_BOOLEAN - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
TYPE_CLASS - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
CLASS - Maps to a Java class
TYPE_COMPOSITE - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
COMPOSITE - Composite value with field names and field values
TYPE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
FUNCTION - (input) => (output) where input is a list of Values, and output is a single Value
TYPE_LIST - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
LIST - List
TYPE_NUMBER - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
NUMBER - Numeric value (can be integer or real)
TYPE_REGEX - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
REGEX - Regular expression pattern (for tokens or string)
TYPE_REGEXMATCHVAR - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
REGEXMATCHVAR - Variable that refers to variable resulting from a regex match or used in a regex match (starts with $)
TYPE_SET - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
TYPE_STRING - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
STRING - String
TYPE_STRING_REGEX - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
TYPE_TOKEN_REGEX - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
TYPE_TOKENS - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
TYPE_VAR - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
VAR - Variable
TypeCheckedFunction(String, List<ValueFunctions.ParamInfo>) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.TypeCheckedFunction
 
TypeCheckedFunction(String, ValueFunctions.ParamInfo...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.TypeCheckedFunction
 
typedDependencies() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
Returns a list of TypedDependency in the graph.
typedDependencies - Variable in class edu.stanford.nlp.trees.GrammaticalStructure
 
typedDependencies() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Returns the typed dependencies of this grammatical structure.
typedDependencies(boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Returns the typed dependencies of this grammatical structure.
typedDependenciesCCprocessed(boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Get the typed dependencies after collapsing them and processing eventual CC complements.
typedDependenciesCCprocessed() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Get a list of the typed dependencies, including extras like control dependencies, collapsing them and distributing relations across coordination.
typedDependenciesCollapsed() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Get the typed dependencies after collapsing them.
typedDependenciesCollapsed(boolean) - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Get the typed dependencies after collapsing them.
typedDependenciesCollapsedTree() - Method in class edu.stanford.nlp.trees.GrammaticalStructure
Get the typed dependencies after mostly collapsing them, but keep a tree structure.
TypedDependency - Class in edu.stanford.nlp.trees
A TypedDependency is a relation between two words in a GrammaticalStructure.
TypedDependency(GrammaticalRelation, IndexedWord, IndexedWord) - Constructor for class edu.stanford.nlp.trees.TypedDependency
 
TypedDependency(TypedDependency) - Constructor for class edu.stanford.nlp.trees.TypedDependency
 
typedDependencyClasser() - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns an EquivalenceClasser that classes typed dependencies by the syntactic categories of mother, head and daughter, plus direction.
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
The HeadFinder to use when extracting typed dependencies.
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.FrenchTreebankParserParams
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.HebrewTreebankParserParams
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.NegraPennTreebankParserParams
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.parser.lexparser.SpanishTreebankParserParams
 
typedDependencyHeadFinder() - Method in interface edu.stanford.nlp.parser.lexparser.TreebankLangParserParams
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.french.FrenchTreebankLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreebankLanguagePack
 
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.spanish.SpanishTreebankLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyHeadFinder() - Method in class edu.stanford.nlp.trees.PennTreebankLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyHeadFinder() - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack
The HeadFinder to use when making typed dependencies.
typedDependencyObjectify(Tree, HeadFinder, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns a collection of word-word dependencies typed by mother, head, daughter node syntactic categories.
TypedExpression(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.TypedExpression
 
typeEquals(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraphEdge
 
typeMatches(LabeledChunkIdentifier.LabelTagType) - Method in class edu.stanford.nlp.pipeline.LabeledChunkIdentifier.LabelTagType
 
typeName - Variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.ParamInfo
 
typeProbabilities - Variable in class edu.stanford.nlp.ie.machinereading.structure.ExtractionObject
Probabilities associated with this object We report probability values for each possible type for this object
TypesafeMap - Interface in edu.stanford.nlp.util
Type signature for a class that supports the basic operations required of a typesafe heterogeneous map.
TypesafeMap.Key<VALUE> - Interface in edu.stanford.nlp.util
Base type of keys for the map.

U

UBlockAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UBlockAnnotation
 
UCPtransform(Tree) - Static method in class edu.stanford.nlp.trees.CoordinationTransformer
Transforms t if it contains an UCP, it will change the UCP tag into the phrasal tag of the first word of the UCP (UCP (JJ electronic) (, ,) (NN computer) (CC and) (NN building)) will become (ADJP (JJ electronic) (, ,) (NN computer) (CC and) (NN building))
ug - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
ug - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
ug - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
UnaryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UnaryAnnotation
 
unaryClassification - Variable in class edu.stanford.nlp.sentiment.SentimentModel
CxN+1, where N = size of word vectors, C is the number of classes
unaryClassificationSize - Variable in class edu.stanford.nlp.sentiment.SentimentModel
How many elements a classification matrix has
unaryCP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
unaryDT - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark "Intransitive" DT.
UnaryGrammar - Class in edu.stanford.nlp.parser.lexparser
Maintains efficient indexing of unary grammar rules.
UnaryGrammar(Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.UnaryGrammar
 
unaryIN - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark "Intransitive" IN.
unaryIP - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
Chinese: unary category marking
unaryPRP - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
"Intransitive" PRP.
unaryRB - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Mark "Intransitive" RB.
UnaryRule - Class in edu.stanford.nlp.parser.lexparser
Unary grammar rules (with ints for parent and child).
UnaryRule(int, int) - Constructor for class edu.stanford.nlp.parser.lexparser.UnaryRule
The score is set to Float.NaN by default.
UnaryRule(int, int, double) - Constructor for class edu.stanford.nlp.parser.lexparser.UnaryRule
 
UnaryRule(String, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.UnaryRule
Decode a UnaryRule out of a String representation with help from an Index.
unaryScore - Variable in class edu.stanford.nlp.parser.dvparser.DVModel
 
unaryScoreIndex(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
unaryTransform - Variable in class edu.stanford.nlp.parser.dvparser.DVModel
 
unaryTransformIndex(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
UnaryTransition - Class in edu.stanford.nlp.parser.shiftreduce
Transition that makes a unary parse node in a partially finished tree.
UnaryTransition(String, boolean) - Constructor for class edu.stanford.nlp.parser.shiftreduce.UnaryTransition
 
unbind(String) - Method in class edu.stanford.nlp.ling.tokensregex.Env
 
unbox(Collection<Double>) - Static method in class edu.stanford.nlp.math.ArrayMath
 
unboxToInt(Collection<Integer>) - Static method in class edu.stanford.nlp.math.ArrayMath
 
uncertaintyGranularity - Variable in class edu.stanford.nlp.time.SUTime.Temporal
 
uncheckedCast(Object) - Static method in class edu.stanford.nlp.util.ErasureUtils
Casts an Object to a T
UNDERLINE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
UNDERSCORE - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
UNDERSCORESEQ - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
unEscape(String) - Static method in class edu.stanford.nlp.trees.international.arabic.ATBTreeUtils
Reverts escaping from a flat string.
unescapeStringForXML(String) - Static method in class edu.stanford.nlp.util.XMLUtils
 
unicodeBlockStringOf(char) - Static method in class edu.stanford.nlp.util.Characters
Returns a string representation of a character's unicode block.
unicodeToBuckwalter(String) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
 
unigramLM - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
union(C, C) - Static method in class edu.stanford.nlp.stats.Counters
Returns a Counter that is the union of the two Counters passed in (counts are added).
union(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
union(Set<E>, Set<E>) - Static method in class edu.stanford.nlp.util.Sets
Returns the union of sets s1 and s2.
unionAsSet(Collection<T>, Collection<T>) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
unionAsSet(Collection<T>...) - Static method in class edu.stanford.nlp.util.CollectionUtils
 
UnionMultiNodePattern(List<MultiNodePattern<T>>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiNodePattern.UnionMultiNodePattern
 
uniqueLabels() - Method in class edu.stanford.nlp.util.ConfusionMatrix
Returns the set of distinct class labels entered into this confusion table.
uniqueNonhashableObjects(Collection<ObjType>, Function<ObjType, Hashable>) - Static method in class edu.stanford.nlp.util.CollectionUtils
Makes it possible to uniquify a collection of objects which are normally non-hashable.
unit() - Method in class edu.stanford.nlp.util.EditDistance
 
universalValues - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
 
unknown - Static variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
unknown - Static variable in interface edu.stanford.nlp.parser.lexparser.UnknownWordModelTrainer
 
UNKNOWN - Static variable in class edu.stanford.nlp.parser.nndep.Config
Out-of-vocabulary token string.
UNKNOWN_ID - Static variable in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
UNKNOWN_WORD - Static variable in interface edu.stanford.nlp.parser.lexparser.Lexicon
 
UnknownAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UnknownAnnotation
 
unknownCapsVector - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether or not to build an unknown word vector for words with caps in them
unknownChineseNumberVector - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether or not to build an unknown word vector to match Chinese numbers
unknownChinesePercentVector - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether or not to build an unknown word vector to match Chinese percentages
unknownChineseYearVector - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether or not to build an unknown word vector to match Chinese years
unknownDashedWordVectors - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether or not to handle unknown dashed words by taking the last part
UnknownGTTrainer - Class in edu.stanford.nlp.parser.lexparser
This class trains a Good-Turing model for unknown words from a collection of trees.
UnknownGTTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.UnknownGTTrainer
 
unknownLevel - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
What type of equivalence classing is done in getSignature
unknownNumberVector - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Whether or not to build an unknown word vector specifically for numbers
unknownPrefixSize - Variable in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
 
unknownPrefixSize - Variable in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
 
unknownPrefixSize - Variable in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel
 
unknownPrefixSize - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
For certain Lexicons, a certain number of word-initial letters are used to subclassify the unknown token.
unknownPrefixSize - Variable in class edu.stanford.nlp.parser.lexparser.SpanishUnknownWordModel
 
unknownSuffixSize - Variable in class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
 
unknownSuffixSize - Variable in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
 
unknownSuffixSize - Variable in class edu.stanford.nlp.parser.lexparser.FrenchUnknownWordModel
 
unknownSuffixSize - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
For certain Lexicons, a certain number of word-final letters are used to subclassify the unknown token.
unknownSuffixSize - Variable in class edu.stanford.nlp.parser.lexparser.SpanishUnknownWordModel
 
unknownWordDistSimClass - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
What class to assign to words not found in the dist sim lexicon.
UnknownWordModel - Interface in edu.stanford.nlp.parser.lexparser
 
UnknownWordModelTrainer - Interface in edu.stanford.nlp.parser.lexparser
An interface for training an UnknownWordModel.
UnknownWordPrinter - Class in edu.stanford.nlp.parser.dvparser
Prints out words which are unknown to the DVParser.
UnknownWordPrinter(DVModel) - Constructor for class edu.stanford.nlp.parser.dvparser.UnknownWordPrinter
 
unkWord - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Some models will use external data sources which contain information about unknown words.
unkWord - Variable in class edu.stanford.nlp.sentiment.RNNOptions
In the wordVectors file, what word represents unknown?
UnlabeledAttachmentEval - Class in edu.stanford.nlp.parser.metrics
Dependency unlabeled attachment score.
UnlabeledAttachmentEval(String, boolean, HeadFinder) - Constructor for class edu.stanford.nlp.parser.metrics.UnlabeledAttachmentEval
 
UnlabeledAttachmentEval(String, boolean, HeadFinder, Predicate<String>) - Constructor for class edu.stanford.nlp.parser.metrics.UnlabeledAttachmentEval
 
unLabeledPatternsandWords4Label - Variable in class edu.stanford.nlp.patterns.surface.ScorePatterns
 
unlock() - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
 
unlock() - Method in class edu.stanford.nlp.util.DeltaIndex
 
unlock() - Method in class edu.stanford.nlp.util.HashIndex
Unlocks the Index.
unlock() - Method in interface edu.stanford.nlp.util.Index
Unlocks the Index.
unmodifiableCounter(Counter<T>) - Static method in class edu.stanford.nlp.stats.Counters
Returns unmodifiable view of the counter.
unmodifiableView() - Method in class edu.stanford.nlp.util.HashIndex
Returns an unmodifiable view of the Index.
UnnamedConcreteDependency - Class in edu.stanford.nlp.trees
An individual dependency between a head and a dependent.
UnnamedConcreteDependency(String, int, String, int) - Constructor for class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
UnnamedConcreteDependency(Label, int, Label, int) - Constructor for class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
UnnamedConcreteDependency(Label, Label) - Constructor for class edu.stanford.nlp.trees.UnnamedConcreteDependency
 
UnnamedDependency - Class in edu.stanford.nlp.trees
An individual dependency between a head and a dependent.
UnnamedDependency(String, String) - Constructor for class edu.stanford.nlp.trees.UnnamedDependency
 
UnnamedDependency(Label, Label) - Constructor for class edu.stanford.nlp.trees.UnnamedDependency
 
unnormalizedConditionalLogProbGivenFirst(int, int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
Computes the probability of the sequence OF being at the end of the table given that the first tag in table is GIVEN.
unnormalizedLogProb(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
Returns a single clique potential.
unnormalizedLogProb(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
unnormalizedLogProbEnd(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
unnormalizedLogProbEnd(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
unnormalizedLogProbEnd(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
unnormalizedLogProbEnd(int) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
unnormalizedLogProbFront(int[]) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
unnormalizedLogProbFront(int) - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
unnormalizedLogProbFront(int[]) - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
unorderedTypedDependencyObjectify(Tree, HeadFinder, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns a collection of unordered (but directed!) typed word-word dependencies for the tree.
unorderedUntypedDependencyObjectify(Tree, HeadFinder, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns a collection of unordered (but directed!) untyped word-word dependencies for the tree.
unprocess(String) - Static method in class edu.stanford.nlp.process.PTBEscapingProcessor
 
unread() - Method in class edu.stanford.nlp.util.StringParsingTask
 
UNRELATED - Static variable in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
unSeenCounter - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
Has counts for taggings in terms of unseen signatures.
unSeenCounter() - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
unSeenCounter() - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel
 
unseenSmooth - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
The amount of smoothing put in (as an m-estimate) for unknown words.
unsupAlignFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
unsupDropoutFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
unsupDropoutScale - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
unsupFileCH - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
unsupFileEN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
untypedDependencyObjectify(Tree, HeadFinder, TreeTransformer) - Static method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams
Returns a collection of untyped word-word dependencies for the tree.
update(Env, Map<String, Object>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
 
update(double[], double[], double[], double[], double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
update(double[], double[], double, double, double, double) - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
update(List<CoreLabel>, String) - Method in class edu.stanford.nlp.patterns.surface.InvertedIndexByTokens
 
update(List<CoreLabel>, String) - Method in class edu.stanford.nlp.patterns.surface.SentenceIndex
 
updateAllMatches(TrieMap<K, V>, List<Match<K, V>>, List<K>, List<K>, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
 
updateAllMatchesWithStart(TrieMap<K, V>, List<Match<K, V>>, List<K>, List<K>, int, int) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMapMatcher
 
updateBindings(SequencePattern.VarGroupBindings) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
 
updateBindings(SequencePattern.VarGroupBindings) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
 
updateBindings(SequencePattern.VarGroupBindings) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
 
updateBindings(SequencePattern.VarGroupBindings) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
 
updateBindings(SequencePattern.VarGroupBindings) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
 
updateBindings(SequencePattern.VarGroupBindings) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
 
updateBindings(SequencePattern.VarGroupBindings) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
Updates the binding of group to variable name
updateBindings(SequencePattern.VarGroupBindings) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
 
updateBindings(SequencePattern.VarGroupBindings) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
 
updateBindings(SequencePattern.VarGroupBindings) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
 
updateBindings(SequencePattern.VarGroupBindings) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
 
updateConfusionMatrix(String[], ConfusionMatrix<String>) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
Update a confusion matrix with the errors from this sentence.
updateDiagBFGS(double[], double[], double[]) - Method in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
updateEntries(Set<Map.Entry<Iterable<K>, V>>, List<K>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
updateExpressionExtractor(CoreMapExpressionExtractor, Reader) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
updateExtractRule(SequenceMatchRules.AnnotationExtractRule, Env, SequencePattern.PatternExpr, Expression, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CompositeExtractRuleCreator
 
updateExtractRule(SequenceMatchRules.AnnotationExtractRule, Env, TokenSequencePattern, Expression, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CompositeExtractRuleCreator
 
updateExtractRule(SequenceMatchRules.AnnotationExtractRule, Env, String, Expression, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TextPatternExtractRuleCreator
 
updateExtractRule(SequenceMatchRules.AnnotationExtractRule, Env, SequencePattern.PatternExpr, Expression, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TokenPatternExtractRuleCreator
 
updateExtractRule(SequenceMatchRules.AnnotationExtractRule, Env, TokenSequencePattern, Expression, Expression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.TokenPatternExtractRuleCreator
 
updateFoundStats(String, int, int) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
Updates the number of unique trees matched and the number of total trees matched by the last pattern that was searched for.
updateKeys(Set<Iterable<K>>, List<K>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
updateLabels(int[]) - Method in class edu.stanford.nlp.classify.Dataset
 
updateOffsets(List<Word>, int) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
updateOffsetsInCoreLabels(List<CoreLabel>, int) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
 
updatePatterns(Map<String, Map<Integer, Set<Integer>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
 
updateProgressBar(double) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
Thread safe way to update how much progress we've made on the search so far
updateSequenceElement(int[], int, int) - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
Informs this sequence model that the value of the element at position pos has changed.
updateSequenceElement(int[], int, int) - Method in class edu.stanford.nlp.ie.EntityCachingAbstractSequencePriorBIO
 
updateSequenceElement(int[], int, int) - Method in class edu.stanford.nlp.sequences.FactoredSequenceListener
Informs this sequence model that the value of the element at position pos has changed.
updateSequenceElement(int[], int, int) - Method in interface edu.stanford.nlp.sequences.SequenceListener
Informs this sequence listener that the value of the element at position pos has changed.
updateTrieStrings(List<String>, String) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
updateValues(List<V>) - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
updateWeight(int, float) - Method in class edu.stanford.nlp.parser.shiftreduce.Weight
 
updateWeightsForTest(double[]) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 
UPPER - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
UPPERCASE_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
upperMostUnary(Tree) - Method in class edu.stanford.nlp.trees.Tree
Return the highest node of the (perhaps trivial) unary chain that this node is part of.
URL - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
usage() - Static method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
 
usageAndExit(String[]) - Static method in class edu.stanford.nlp.util.Execution
 
usageAndExit(Map<String, String[]>) - Static method in class edu.stanford.nlp.util.Execution
 
use2W - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
use4Clique - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
USE_ACCURACY - Static variable in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
USE_ACRONYM - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_ALIAS - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_ANIMACY_LIST - Static variable in class edu.stanford.nlp.dcoref.Constants
Use animacy list (Bergsma and Lin, 2006; Ji and Lin, 2009)
USE_APPOSITION - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_ATTRIBUTES_AGREE - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_CONLL_AUTO - Static variable in class edu.stanford.nlp.dcoref.Constants
if true, read *auto_conll, if false, read *gold_conll
USE_COREF_DICT - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_DEMONYM - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_DIFFERENT_LOCATION - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_DISCOURSE_CONSTRAINTS - Static variable in class edu.stanford.nlp.dcoref.Constants
Use person attributes in pronoun matching
USE_DISCOURSE_SALIENCE - Static variable in class edu.stanford.nlp.dcoref.Constants
Flag for using discourse salience
USE_DISCOURSEMATCH - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_DISTANCE - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_EXACTSTRINGMATCH - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_GOLD_MENTION_BOUNDARIES - Static variable in class edu.stanford.nlp.dcoref.Constants
if true, use given mention boundaries
USE_GOLD_MENTIONS - Static variable in class edu.stanford.nlp.dcoref.Constants
if false, use mention prediction
USE_GOLD_NE - Static variable in class edu.stanford.nlp.dcoref.Constants
if false, use Stanford NER to predict NE labels
USE_GOLD_PARSES - Static variable in class edu.stanford.nlp.dcoref.Constants
if false, use Stanford parse to parse
USE_GOLD_POS - Static variable in class edu.stanford.nlp.dcoref.Constants
if false, use Stanford tagger to tag
USE_GOLD_SPEAKER_TAGS - Static variable in class edu.stanford.nlp.dcoref.Constants
if true, use gold speaker tags
USE_INCLUSION_HEADMATCH - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_INCOMPATIBLE_MODIFIER - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_INCOMPATIBLES - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_iwithini - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_LOGLIKELIHOOD - Static variable in class edu.stanford.nlp.stats.MultiClassAccuracyStats
 
USE_NAME_MATCH - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_NUMBER_ANIMACY_NE_AGREE - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_NUMBER_IN_MENTION - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_PREDICATENOMINATIVES - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_PROPERHEAD_AT_LAST - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_RELATIVEPRONOUN - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_RELAXED_EXACTSTRINGMATCH - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_RELAXED_HEADMATCH - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_ROLE_SKIP - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_ROLEAPPOSITION - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_SLOT_MATCH - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_SUB_TYPES - Static variable in class edu.stanford.nlp.ie.machinereading.domains.roth.RothEntityExtractor
 
USE_SUTIME_DEFAULT - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
USE_SUTIME_PROPERTY - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
 
USE_TRUECASE - Static variable in class edu.stanford.nlp.dcoref.Constants
if true, use truecase annotator
USE_WN_HYPERNYM - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_WN_SYNONYM - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
USE_WORDS_INCLUSION - Variable in class edu.stanford.nlp.dcoref.SieveOptions
 
useAbbr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAbbr1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useABGENE - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useABSTR - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useABSTRFreq - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useABSTRFreqDict - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAcqPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useACR - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAdaDelta - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAdaDiff - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAdaGradFOBOS - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAltGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useANTE - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useAs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useASBCChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useASBCPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useASBCSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useBacktracking() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useBagOfWords - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Use a bag of all words as a feature.
useBeginSent - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useBerkeleyAlignerForViterbi - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useBerkeleyCompetitivePosterior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useBig5 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useBigramInTwoClique - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useBilingualNERPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useBIO - Variable in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
useBoundarySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCharacterBasedLexicon - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useCharBasedUnknownWordModel - Variable in class edu.stanford.nlp.parser.lexparser.ChineseLexicon
 
useCharBasedUnknownWordModel - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useChPos - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
use POS information (an "open" feature for Chinese segmentation)
useChromaticSampling - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useChunks - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useChunkySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useClassFeature - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCoarseDistance - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
useCoarseDistance - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
Whether dependent distance is distinguished more coarsely.
useCommonWordsFeature - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useConjugateGradientAscent(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the minimizer to CGMinimizer, with the passed verbose flag.
useConjugateGradientAscent() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the minimizer to CGMinimizer.
useContextNERRestriction - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
If the NER tag of the context tokens is not the background symbol, generalize the token with the NER tag
useContextWords - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
Specifically for the DVModel, uses words on either side of a context when combining constituents.
useCorefBIOESEncoding - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
useCorefFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCRFforUnsup - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCTBChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCTBPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCTBSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCWSFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCWSWordFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCWSWordFeaturesAll - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useCWSWordFeaturesBigram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDenero - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDiagonalScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
useDiagonalScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictASBC2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictCTB2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictHK2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictionaryConjunctions - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictionaryConjunctions3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictleng - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDictPK2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDisjShape - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDisjunctive - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDisjunctiveShapeInteraction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useDistance - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
useDistance - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
Whether dependent distance from head is distinguished.
useDistSim - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usedSwap - Variable in class edu.stanford.nlp.util.MemoryMonitor
 
useDualDecomp - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useEitherSideDisjunctive - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useEitherSideWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useEmbedding - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useEntityRule - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useEntityTypes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useEntityTypeSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useExternal - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useExtraTaggySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFastFactored - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If true, use approximate factored algorithm, which just rescores PCFG k best, rather than exact factored algorithm.
useFeaturesC4gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesC5gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesC6gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesCpC4gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesCpC5gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFeaturesCpC6gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFillerWordsInPat - Variable in class edu.stanford.nlp.patterns.surface.CreatePatterns
Ignore words like "a", "an", "the" when matching a pattern.
useFilter - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFirst - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
useFirstWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFloat - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useFREQ - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGazettePhrases - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGazettes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGEforSup - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGenericFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGENIA - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGoodForNamesCpC - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useGoodTuringUnknownWordModel - Variable in class edu.stanford.nlp.parser.lexparser.ChineseLexicon
 
useGoodTuringUnknownWordModel - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useGT - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
useHardGE - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHeadGov - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHiddenLayer - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHk - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHKChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHKPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHKSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHuber - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHybrid - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useHybridMinimizer() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useHybridMinimizer(double, int, StochasticCalculateMethods, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useHybridMinimizerWithInPlaceSGD(int, int, double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useIfInteger - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useInPlaceSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useInPlaceStochasticGradientDescent() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useInPlaceStochasticGradientDescent(int, int, double) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useInternal - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useIsDateRange - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useIsURL - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useKBest - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useKL - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useKnownLCWords - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLabelSource - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLastRealWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLC - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLemmaAsWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLemmaContextTokens - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Use lemma instead of words for the context tokens
useLemmas - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useLexiconToScoreDependencyPwGt - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If this is true, the Lexicon is used to score P(w|t) in the backoff inside the dependency grammar.
useLongSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
UseMarkedDiscourseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UseMarkedDiscourseAnnotation
 
useMatchingPhrase - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Use the actual dictionary matching phrase(s) instead of the token word or lemma in calculating the stats
USEMAX - Static variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
useMaxentDepGrammar - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useMaxentLexicon - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useMemoryEvaluator - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMidDotShape - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMinimalAbbr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMinimalAbbr1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMinPackSearch() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useMoreAbbr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMoreGazFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMoreTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMsr - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMSRChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useMUCFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useN5 - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If true, the n^4 "speed-up" is not used with the Factored Parser.
useNB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegASBCDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegASBCDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegASBCDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegCTBDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegCTBDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegCTBDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegHKDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegHKDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegHKDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegPKDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegPKDict3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNegPKDict4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNeighborNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Use prefixes and suffixes from the previous and next word.
useNERPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNERPriorBIO - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNERTags - Variable in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
useNewBetas(boolean, TwoDimensionalMap<String, String, double[][]>, ThreeDimensionalMap<String, String, String, double[][][]>) - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
 
useNewHeadFinder - Variable in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader
Only around for legacy results
useNewHeadFinder - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
useNext - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNextContext - Variable in class edu.stanford.nlp.patterns.surface.CreatePatterns
Consider contexts on the right of a token.
useNextRealWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNextSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNextVB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNGrams - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNoisyLabel - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNoisyNonNoisyFeature - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNonProjectiveDependencyParser - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If this is true, perform non-projective dependency parsing.
useNPGovernor - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNPHead - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useNumberFeature - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useObservedFeaturesOnly - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useObservedSequencesOnly - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useOccurrencePatterns - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useOnlySeenWeights - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useOrdinal - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useOtherLabelsWordsasNegative - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
use the seed dictionaries and the new words learned for the other labels in the previous iterations as negative
useOutDict2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useOutputLayer - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useOWLQN(boolean, double) - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useOWLQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useParenMatching - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePatternEvalDomainNgram - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Used only if ConstantsAndVariables.patternScoring is PhEvalInPat or PhEvalInPat.
usePatternEvalEditDistOther - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Used only if ConstantsAndVariables.patternScoring is PhEvalInPat or PhEvalInPat.
usePatternEvalEditDistSame - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Used only if ConstantsAndVariables.patternScoring is PhEvalInPat or PhEvalInPat.
usePatternEvalGoogleNgram - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Used only if ConstantsAndVariables.patternScoring is PhEvalInPat or PhEvalInPat.
usePatternEvalSemanticOdds - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Used only if ConstantsAndVariables.patternScoring is PhEvalInPat or PhEvalInPat.
usePatternEvalWordClass - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Used only if ConstantsAndVariables.patternScoring is PhEvalInPat or PhEvalInPat.
usePatternEvalWordShape - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Used only if ConstantsAndVariables.patternScoring is PhEvalInPat or PhEvalInPat.
usePatternResultAsLabel - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Label words that are learned so that in further iterations we have more information
usePatternWeights - Variable in class edu.stanford.nlp.patterns.surface.PhraseScorer
 
usePhraseEvalDomainNgram - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
use domain tf-idf for learning phrases
usePhraseEvalEditDistOther - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Edit distance between this phrase and other phrases in other dictionaries
usePhraseEvalEditDistSame - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Edit distance between this phrase and the other phrases in the label dictionary
usePhraseEvalGoogleNgram - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
use google tf-idf for learning phrases
usePhraseEvalPatWtByFreq - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
use \sum_allpat pattern_wt_that_extracted_phrase/phrase_freq for learning phrases
usePhraseEvalSemanticOdds - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
odds of the phrase freq in the label dictionary vs other dictionaries
usePhraseEvalWordClass - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Only works if you have single label.
usePhraseEvalWordShape - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
usePhraseFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePhraseWords - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePhraseWordSpecialTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePhraseWordTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePk - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePKChar2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePKPre1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePKSuf1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePOS4Pattern - Variable in class edu.stanford.nlp.patterns.surface.CreatePatterns
Use POS tag restriction in the target term: One of this and addPatWithoutPOS has to be true.
usePosition - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePre - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrediction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrediction2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrev - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePreviousContext - Variable in class edu.stanford.nlp.patterns.surface.CreatePatterns
Consider contexts on the left of a token.
usePrevNextLemmas - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrevSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usePrevVB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useProgressBar(boolean) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
 
useProtoFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useQuartic - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useQuasiNewton() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
Sets the minimizer to QuasiNewton.
useQuasiNewton(boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useRad1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRad2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRad2b - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRadical - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRandomSeed - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRelationExtractionModelMerging - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
 
useReverse - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useReverseAffix - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRobustQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRoleSkip() - Method in class edu.stanford.nlp.dcoref.sievepasses.DeterministicCorefSieve
 
useRule - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useRule2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usesBinaryTrees(Properties) - Static method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
Determines whether the parser annotator should default to producing binary trees.
useScalarScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer.QNInfo
 
useScalarScaling() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
useScaledSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSeenFeaturesOnly - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSegmentation - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSemPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSentenceNumber - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSequentialScanSampling - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSGD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSGDtoQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeConjunctions - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useShapeStrings5 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSigmoid - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSignatureForKnownSmoothing - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
useSignatureForKnownSmoothing - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
Whether to use signature rather than just being unknown as prior in known word smoothing.
useSimilarWordMap - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useSMD - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSmoothTagProjection - Variable in class edu.stanford.nlp.parser.lexparser.Options
 
usesSUTime() - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
 
useStdin() - Method in class edu.stanford.nlp.tagger.maxent.TaggerConfig
Returns whether or not we should use stdin for reading when tagging data.
useStochasticGradientDescent() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticGradientDescent(double, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticGradientDescentToQuasiNewton(double, int, int, int, int, int, boolean) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticMetaDescent() - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticMetaDescent(double, int, StochasticCalculateMethods, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticQN(double, int) - Method in class edu.stanford.nlp.classify.LinearClassifierFactory
 
useStochasticQN - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useStopWordsBeforeTerm - Variable in class edu.stanford.nlp.patterns.surface.CreatePatterns
allow to match stop words before a target term.
useSubTypes - Variable in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
 
useSuf - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
USESUM - Static variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader
 
useSum - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSummedConditionalLikelihood - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
useSymTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useSymWordPairs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
useSymWordPairs Has a small negative effect.
useTaggySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTaggySequencesShapeInteraction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTags - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTargetNERRestriction - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Add NER restriction to the target phrase in the patterns
useTargetParserParentRestriction - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Adds the parent's tag from the parse tree to the target phrase in the patterns
useTensors - Variable in class edu.stanford.nlp.sentiment.RNNOptions
 
useTitle - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTOK - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTopics - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTrainLexicon - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTypeSeqs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTypeSeqs2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTypeSeqs3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useTypeySequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUnicodeBlock - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUnicodeType - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
Make use of unicode code point types in smoothing.
useUnicodeType - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUnicodeType4gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUnicodeType5gram - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUniformPrior - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUnigramWordSmoothing - Variable in class edu.stanford.nlp.parser.lexparser.Options
 
useUnknown - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useUnknownCharacterModel - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
 
useUnknownWordSignatures - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
Whether to use suffix and capitalization information for unknowns.
useURLSequences - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useVB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useViterbi - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWEB - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWEBFreqDict - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWideDisjunctive - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWord - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWord1 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWord2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWord3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWord4 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordn - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordnetFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordPairs - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordShapeConjunctions2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordShapeConjunctions3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordShapeGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordTag - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordUTypeConjunctions2 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useWordUTypeConjunctions3 - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useYear - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
useYetMoreCpCShapes - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
usingFeature(List<String>, List<String>, String) - Static method in class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
Helper method that checks if a feature type "type" is present in the list of features "types" and removes it from "checklist"
uStringArrToByteArr(String[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
uStringArrToByteArr(String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
uStringArrToByteArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
UTF8EquivalenceFunction - Class in edu.stanford.nlp.util
A word function that can be applied to Chinese text in the tagger or similar systems to make it treat ( and ( the same.
UTF8EquivalenceFunction() - Constructor for class edu.stanford.nlp.util.UTF8EquivalenceFunction
 
utter - Variable in class edu.stanford.nlp.dcoref.Mention
 
UtteranceAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UtteranceAnnotation
 
UTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.UTypeAnnotation
 
uwModel - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
uwModelTrainer - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
uwModelTrainer - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
Model for unknown words that the lexicon should use.
uwModelTrainerClass - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 

V

v - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
valenceBin(int) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
validateBinarizedTree(Tree, int) - Method in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
validLabel(String, ExtractionObject) - Method in interface edu.stanford.nlp.ie.machinereading.LabelValidator
 
value() - Method in class edu.stanford.nlp.ling.CoreLabel
Return a String representation of just the "main" value of this label.
value() - Method in class edu.stanford.nlp.ling.IndexedWord
 
value() - Method in interface edu.stanford.nlp.ling.Label
Return a String representation of just the "main" value of this label.
value() - Method in class edu.stanford.nlp.ling.StringLabel
Return the word value of the label (or null if none).
value - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression
 
value - Variable in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
Value at a leaf node (leaf node is indicated by non-null value)
value - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.MatchedGroupInfo
 
value() - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr
 
Value<T> - Interface in edu.stanford.nlp.ling.tokensregex.types
A expression that has been evaluated to a Java object of type T
value() - Method in class edu.stanford.nlp.ling.ValueLabel
Return the value of the label (or null if none).
value() - Method in class edu.stanford.nlp.ling.WordLemmaTag
Return a String representation of just the "main" value of this Label.
value() - Method in class edu.stanford.nlp.ling.WordTag
Return a String representation of just the "main" value of this label.
value - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
value - Variable in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
value() - Method in class edu.stanford.nlp.time.Timex
 
value() - Method in class edu.stanford.nlp.trees.Constituent
Return the value of the label (or null if none).
value() - Method in class edu.stanford.nlp.trees.Tree
 
ValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ValueAnnotation
 
valueAt(double[], double, int[]) - Method in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
 
valueAt(double[], double, int[]) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
Computes value of function for specified value of x (scaled by xScale) only over samples indexed by batch.
valueAt(float[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
 
valueAt(double[]) - Method in class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
 
valueAt(double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
valueAt(x,batchSize) derivativeAt(x,batchSize) invokes the calculateStochastic function to get the current value at x for the next batchSize data points.
valueAt(double[], double[], int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
This function will return the stochastic approximation at the point x.
valueAt(double[], double, int[]) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
Computes value of function for specified value of x (scaled by xScale) only over samples indexed by batch.
valueAt(double[], double, int) - Method in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
 
valueAt(float[]) - Method in interface edu.stanford.nlp.optimization.FloatFunction
Returns the value of the function at a single point.
valueAt(double[]) - Method in interface edu.stanford.nlp.optimization.Function
Returns the value of the function at a single point.
valueAt(float[]) - Method in class edu.stanford.nlp.optimization.ResultStoringFloatMonitor
 
valueAt(double[]) - Method in class edu.stanford.nlp.optimization.ResultStoringMonitor
 
valueChanged(ListSelectionEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.DisplayMatchesPanel
 
valueChanged(ListSelectionEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.MatchesPanel
 
ValuedInterval<T,E extends Comparable<E>> - Class in edu.stanford.nlp.util
Interval with value
ValuedInterval(T, Interval<E>) - Constructor for class edu.stanford.nlp.util.ValuedInterval
 
ValueExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
valueExtractor - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
valueForADoc(int) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
ValueFunction - Interface in edu.stanford.nlp.ling.tokensregex.types
A function that takes as input a environment (Env) and a list of values (List), and returns a Value.
ValueFunctions - Class in edu.stanford.nlp.ling.tokensregex.types
ValueFunctions supported by tokensregex.
ValueFunctions.BooleanFunction - Class in edu.stanford.nlp.ling.tokensregex.types
 
ValueFunctions.ComparableComparator<T extends Comparable<T>> - Class in edu.stanford.nlp.ling.tokensregex.types
 
ValueFunctions.CompareFunction<T> - Class in edu.stanford.nlp.ling.tokensregex.types
 
ValueFunctions.CompareType - Enum in edu.stanford.nlp.ling.tokensregex.types
 
ValueFunctions.NamedValueFunction - Class in edu.stanford.nlp.ling.tokensregex.types
 
ValueFunctions.NumericComparator - Class in edu.stanford.nlp.ling.tokensregex.types
 
ValueFunctions.NumericFunction - Class in edu.stanford.nlp.ling.tokensregex.types
 
ValueFunctions.ParamInfo - Class in edu.stanford.nlp.ling.tokensregex.types
 
ValueFunctions.StringFunction - Class in edu.stanford.nlp.ling.tokensregex.types
 
ValueFunctions.TypeCheckedFunction - Class in edu.stanford.nlp.ling.tokensregex.types
 
valueIterator() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
ValueLabel - Class in edu.stanford.nlp.ling
A ValueLabel object acts as a Label with linguistic attributes.
ValueLabel() - Constructor for class edu.stanford.nlp.ling.ValueLabel
 
valueOf(String) - Static method in enum edu.stanford.nlp.classify.LogPrior.LogPriorType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.dcoref.Dictionaries.Animacy
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.dcoref.Dictionaries.Gender
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.dcoref.Dictionaries.MentionType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.dcoref.Dictionaries.Number
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.dcoref.Dictionaries.Person
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.dcoref.Document.DocType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.dcoref.ScorerBCubed.BCubedType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.ie.machinereading.RelationFeatureFactory.DEPENDENCY_TYPE
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.ie.pascal.ISODateInstance.DateField
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.international.Languages.Language
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.international.morph.MorphoFeatureSpecification.MorphoFeatureType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator.PersonalPronounType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.ling.CoreAnnotations.SRL_ID
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.ling.CoreLabel.OutputFormat
Returns the enum constant of this type with the specified name.
valueOf(Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
 
valueOf(Env, Expression) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionNodePattern
 
valueOf(String) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
valueOf(String, int) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
valueOf(Env, String) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
valueOf(Pattern) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
valueOf(Map<String, String>) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
valueOf(Env, Map<String, String>) - Static method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern
 
valueOf(String) - Static method in enum edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher.MatchType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.ling.tokensregex.SequenceMatcher.FindType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchResultVarExpression
 
valueOf(String) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
 
valueOf(String) - Static method in enum edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in class edu.stanford.nlp.ling.WordTag
 
valueOf(String, String) - Static method in class edu.stanford.nlp.ling.WordTag
 
valueOf(String) - Static method in enum edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction.SamplingMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eLineSearch
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eScaling
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eState
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS.Prior
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.parser.lexparser.TrainOptions.TransformMatrixType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.parser.shiftreduce.BinaryTransition.Side
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions.TrainingMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.parser.shiftreduce.State.HeadPosition
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.parser.shiftreduce.TreeRecorder.Mode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.patterns.surface.ConstantsAndVariables.PatternForEachTokenWay
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.patterns.surface.ConstantsAndVariables.ScorePhraseMeasures
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass.PatternScoring
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.patterns.surface.PhraseScorer.Normalization
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.patterns.surface.SurfacePattern.Genre
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.pipeline.TokenizerAnnotator.TokenizerType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.process.DocumentPreprocessor.DocType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.process.WordToSentenceProcessor.NewlineIsSentenceBreak
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.semgraph.SemanticGraph.OutputFormat
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in class edu.stanford.nlp.semgraph.SemanticGraph
Tries to parse a String representing a SemanticGraph.
valueOf(String) - Static method in enum edu.stanford.nlp.semgraph.SemanticGraphFactory.Mode
Returns the enum constant of this type with the specified name.
valueOf(int, int) - Static method in class edu.stanford.nlp.sequences.Clique
 
valueOf(int[]) - Static method in class edu.stanford.nlp.sequences.Clique
Make a clique over the provided relativeIndices.
valueOf(Clique, int) - Static method in class edu.stanford.nlp.sequences.Clique
 
valueOf(String) - Static method in enum edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter.OutputStyle
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.tagger.io.TaggedFileRecord.Format
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.tagger.maxent.TaggerConfig.Mode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.time.Options.RelativeHeuristicLevel
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.time.SUTime.TemporalOp
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.time.SUTime.TimeUnit
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.time.SUTime.TimexAttr
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.time.SUTime.TimexDocFunc
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.time.SUTime.TimexMod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.time.SUTime.TimexType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
Returns the EnglishGrammaticalRelation having the given string representation (e.g.
valueOf(Object) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
Returns an EnglishGrammaticalRelation based on the argument.
valueOf(String) - Static method in enum edu.stanford.nlp.trees.GrammaticalRelation.Language
Returns the enum constant of this type with the specified name.
valueOf(String, Collection<GrammaticalRelation>) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
Returns the GrammaticalRelation having the given string representation (e.g.
valueOf(GrammaticalRelation.Language, String) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
Convert from a String representation of a GrammaticalRelation to a GrammaticalRelation.
valueOf(String) - Static method in class edu.stanford.nlp.trees.GrammaticalRelation
 
valueOf(String) - Static method in enum edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder.TagSet
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
 
valueOf(String) - Static method in class edu.stanford.nlp.trees.Tree
This gives you a tree from a String representation (as a bracketed Tree, of the kind produced by toString(), pennPrint(), or as in the Penn Treebank).
valueOf(String, TreeReaderFactory) - Static method in class edu.stanford.nlp.trees.Tree
This gives you a tree from a String representation (as a bracketed Tree, of the kind produced by toString(), pennPrint(), or as in the Penn Treebank.
valueOf(String) - Static method in enum edu.stanford.nlp.trees.tregex.gui.TregexGUI.FilterType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.util.ArrayStringFilter.Mode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.util.Interval.RelType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.util.logging.Color
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.util.logging.Redwood.Flag
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum edu.stanford.nlp.util.logging.Style
Returns the enum constant of this type with the specified name.
valueOf(List<IN>, IN) - Static method in class edu.stanford.nlp.util.PaddedList
A static method that provides an easy way to create a list of a certain parametric type.
valueOfIgnoreComments(String) - Static method in class edu.stanford.nlp.stats.ClassicCounter
Returns the Counter over Strings specified by this String.
ValuePatternExpr(SequencePattern.PatternExpr, Object) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
 
values - Variable in class edu.stanford.nlp.classify.LogConditionalObjectiveFunction
Same size as data if the features have values; null if the features are binary.
values() - Static method in enum edu.stanford.nlp.classify.LogPrior.LogPriorType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.dcoref.Dictionaries.Animacy
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.dcoref.Dictionaries.Gender
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.dcoref.Dictionaries.MentionType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.dcoref.Dictionaries.Number
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.dcoref.Dictionaries.Person
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.dcoref.Document.DocType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.dcoref.ScorerBCubed.BCubedType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.ie.machinereading.RelationFeatureFactory.DEPENDENCY_TYPE
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.ie.pascal.ISODateInstance.DateField
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.international.Languages.Language
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.international.morph.MorphoFeatureSpecification.MorphoFeatureType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.international.spanish.process.AnCoraPronounDisambiguator.PersonalPronounType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.ling.AnnotationLookup.KeyLookup
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.ling.CoreAnnotations.SRL_ID
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.ling.CoreLabel.OutputFormat
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
values() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap
 
values() - Static method in enum edu.stanford.nlp.ling.tokensregex.MultiWordStringMatcher.MatchType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.ling.tokensregex.SequenceMatcher.FindType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.CompareType
Returns an array containing the constants of this enum type, in the order they are declared.
values - Variable in class edu.stanford.nlp.maxent.Experiments
The value of classification y for x.
values() - Method in class edu.stanford.nlp.neural.Embedding
 
values() - Static method in enum edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction.SamplingMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eLineSearch
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eScaling
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.optimization.QNMinimizer.eState
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS.Prior
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.optimization.StochasticCalculateMethods
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.parser.lexparser.TrainOptions.TransformMatrixType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.parser.shiftreduce.BinaryTransition.Side
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions.TrainingMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.parser.shiftreduce.State.HeadPosition
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.parser.shiftreduce.TreeRecorder.Mode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.patterns.surface.ConstantsAndVariables.PatternForEachTokenWay
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.patterns.surface.ConstantsAndVariables.ScorePhraseMeasures
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass.PatternScoring
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.patterns.surface.PhraseScorer.Normalization
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.patterns.surface.SurfacePattern.Genre
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.pipeline.TokenizerAnnotator.TokenizerType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.process.DocumentPreprocessor.DocType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.process.WordToSentenceProcessor.NewlineIsSentenceBreak
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.semgraph.SemanticGraph.OutputFormat
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.semgraph.SemanticGraphFactory.Mode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.sequences.PlainTextDocumentReaderAndWriter.OutputStyle
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class edu.stanford.nlp.stats.ClassicCounter
Returns a copy of the values currently in this counter.
values() - Method in interface edu.stanford.nlp.stats.Counter
Returns a copy of the values currently in this counter.
values() - Method in class edu.stanford.nlp.stats.IntCounter
 
values() - Static method in enum edu.stanford.nlp.tagger.io.TaggedFileRecord.Format
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.tagger.maxent.TaggerConfig.Mode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.time.Options.RelativeHeuristicLevel
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.time.SUTime.TemporalOp
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.time.SUTime.TimeUnit
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.time.SUTime.TimexAttr
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.time.SUTime.TimexDocFunc
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.time.SUTime.TimexMod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.time.SUTime.TimexType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
values(boolean) - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
values() - Static method in enum edu.stanford.nlp.trees.GrammaticalRelation.Language
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder.TagSet
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
 
values() - Static method in enum edu.stanford.nlp.trees.tregex.gui.TregexGUI.FilterType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.util.ArrayStringFilter.Mode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class edu.stanford.nlp.util.CollectionValuedMap
 
values() - Method in class edu.stanford.nlp.util.DeltaCollectionValuedMap
 
values() - Static method in enum edu.stanford.nlp.util.Interval.RelType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.util.logging.Color
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.util.logging.Redwood.Flag
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum edu.stanford.nlp.util.logging.Style
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class edu.stanford.nlp.util.ThreeDimensionalMap
 
values() - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap
 
values() - Method in class edu.stanford.nlp.util.TwoDimensionalMap
 
valuesList() - Method in class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
 
valuesLock - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
valuesLock() - Static method in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
 
valueSplit(String, String, String) - Static method in class edu.stanford.nlp.util.StringUtils
Split a string into tokens.
VAR_SELF - Static variable in class edu.stanford.nlp.ling.tokensregex.types.Expressions
 
VarAssignmentExpression(String, Expression, boolean) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarAssignmentExpression
 
VarExpression(String, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarExpression
 
variance(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
VarOrRegexVar(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
vArray - Variable in class edu.stanford.nlp.maxent.Experiments
vArray has dimensions [numTrainingDatums][2] and holds the x and y (word and tag index) for each training sample.
vectorToParams(double[], Iterator<SimpleMatrix>...) - Static method in class edu.stanford.nlp.neural.NeuralUtils
Given a sequence of Iterators over SimpleMatrix, fill in all of the matrices with the entries in the theta vector.
vectorToParams(double[]) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
 
vectorToParams(double[]) - Method in class edu.stanford.nlp.sentiment.SentimentModel
 
VERB_COMPOUND - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "coordinated verb compound" grammatical relation.
VERBAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "verb modifier" grammatical relation.
verbose - Variable in class edu.stanford.nlp.classify.SVMLightClassifierFactory
 
VERBOSE - Static variable in class edu.stanford.nlp.dcoref.MentionExtractor
 
VERBOSE - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFloatFunction
 
VERBOSE - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
VERBOSE - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunctionForLOP
 
VERBOSE - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearLogConditionalObjectiveFunction
 
VERBOSE - Static variable in class edu.stanford.nlp.ie.crf.CRFNonLinearSecondOrderLogConditionalObjectiveFunction
 
VERBOSE - Static variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
VERBOSE - Static variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
VERBOSE - Static variable in class edu.stanford.nlp.parser.lexparser.FastFactoredParser
 
verbose - Variable in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
verbose - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
Print a lot of extra output as you parse.
verbose - Static variable in class edu.stanford.nlp.sequences.SequenceGibbsSampler
 
VERBOSE - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
VERBOSE - Variable in class edu.stanford.nlp.tagger.maxent.TestSentence
 
VERBOSE_RESULTS - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
verboseForTrueCasing - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
verboseMode - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
VerbSenseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.VerbSenseAnnotation
 
verbSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
 
verify() - Method in class edu.stanford.nlp.util.ArrayHeap
 
vertexListSorted() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
This returns an ordered list of vertices (based upon their indices in the sentence).
vertexSet() - Method in class edu.stanford.nlp.semgraph.SemanticGraph
 
VERTICAL_ALIGN - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel
 
VERY_COMMON_WORD_THRESH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
VERY_VERBOSE - Static variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
VisibilityHandler - Class in edu.stanford.nlp.util.logging
A filter for selecting which channels are visible.
VisibilityHandler() - Constructor for class edu.stanford.nlp.util.logging.VisibilityHandler
 
VisibilityHandler(Object[]) - Constructor for class edu.stanford.nlp.util.logging.VisibilityHandler
 
visitTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.ParentAnnotationStats
Does whatever one needs to do to a particular parse tree
visitTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.SisterAnnotationStats
Does whatever one needs to do to a particular parse tree
visitTree(Tree) - Method in interface edu.stanford.nlp.trees.TreeVisitor
Does whatever one needs to do to a particular parse tree.
visitTree(Tree) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel.TRegexGUITreeVisitor
 
visitTree(Tree) - Method in class edu.stanford.nlp.trees.WordStemmer
 
ViterbiParser - Interface in edu.stanford.nlp.parser
The interface for Viterbi parsers.
ViterbiParserWithOptions - Interface in edu.stanford.nlp.parser
The interface for Viterbi parsers with options.
ViterbiSearchGraphBuilder - Class in edu.stanford.nlp.sequences
 
ViterbiSearchGraphBuilder() - Constructor for class edu.stanford.nlp.sequences.ViterbiSearchGraphBuilder
 
vocabFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
vpSubCat - Variable in class edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams.EnglishTrain
Pitiful attempt at marking V* preterms with their surface subcat frames.

W

w - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer.Weights
 
warn(Object...) - Method in class edu.stanford.nlp.util.logging.Redwood.RedwoodChannels
 
WARN - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
warn(Object...) - Static method in class edu.stanford.nlp.util.logging.Redwood.Util
 
WARN - Static variable in class edu.stanford.nlp.util.logging.Redwood
 
wasSuccessful() - Method in class edu.stanford.nlp.optimization.QNMinimizer
 
weakHashMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory
Return a MapFactory that returns a WeakHashMap.
WebAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WebAnnotation
 
WEDNESDAY - Static variable in class edu.stanford.nlp.time.SUTime
 
WEEK - Static variable in class edu.stanford.nlp.time.SUTime
 
WEEKDAY - Static variable in class edu.stanford.nlp.time.SUTime
 
WEEKEND - Static variable in class edu.stanford.nlp.time.SUTime
 
WEEKLY - Static variable in class edu.stanford.nlp.time.SUTime
 
WeekOfMonth - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
weight(F, L) - Method in class edu.stanford.nlp.classify.LinearClassifier
 
weight(String, String) - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
weight - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
 
weight - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
Weight given to the rule (how likely is this rule to fire)
weight - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
 
Weight - Class in edu.stanford.nlp.parser.shiftreduce
Stores one row of the sparse matrix which makes up the multiclass perceptron.
Weight() - Constructor for class edu.stanford.nlp.parser.shiftreduce.Weight
 
Weight(Weight) - Constructor for class edu.stanford.nlp.parser.shiftreduce.Weight
 
weightByEntropy - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
WeightedDataset<L,F> - Class in edu.stanford.nlp.classify
 
WeightedDataset(Index<L>, int[], Index<F>, int[][], int, float[]) - Constructor for class edu.stanford.nlp.classify.WeightedDataset
 
WeightedDataset() - Constructor for class edu.stanford.nlp.classify.WeightedDataset
 
WeightedDataset(int) - Constructor for class edu.stanford.nlp.classify.WeightedDataset
 
weightIndices - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
weightRanks - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
 
weights() - Method in class edu.stanford.nlp.classify.LinearClassifier
 
weights - Variable in class edu.stanford.nlp.classify.WeightedDataset
 
weights - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
weights() - Method in class edu.stanford.nlp.ie.ner.CMMClassifier
 
Weights(double[]) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer.Weights
 
Weights(double[], double[]) - Constructor for class edu.stanford.nlp.optimization.ScaledSGDMinimizer.Weights
 
weightsAsCounter() - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
weightsAsGenericCounter() - Method in class edu.stanford.nlp.classify.LogisticClassifier
 
weightsAsMapOfCounters() - Method in class edu.stanford.nlp.classify.LinearClassifier
This method returns a map from each label to a counter of feature weights for that label.
WHITE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
WHITE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
WHITE_SPACE - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
WHITEPLUS - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseUtils
 
WHITESPACE_PATTERN - Static variable in class edu.stanford.nlp.dcoref.Rules
 
WHITESPACE_PATTERN - Static variable in class edu.stanford.nlp.dcoref.SpeakerInfo
 
WhitespaceTokenizer<T extends HasWord> - Class in edu.stanford.nlp.process
A WhitespaceTokenizer is a tokenizer that splits on and discards only whitespace characters.
WhitespaceTokenizer(LexedTokenFactory, Reader, boolean) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer
Constructs a new WhitespaceTokenizer
WhitespaceTokenizer.WhitespaceTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.process
A factory which vends WhitespaceTokenizers.
WhitespaceTokenizerFactory(LexedTokenFactory<T>) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
WhitespaceTokenizerFactory(LexedTokenFactory<T>, String) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
WhitespaceTokenizerFactory(LexedTokenFactory<T>, boolean) - Constructor for class edu.stanford.nlp.process.WhitespaceTokenizer.WhitespaceTokenizerFactory
 
wideDisjunctionWidth - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
wideLExtent - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
wideRExtent - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
width(Tree, FontMetrics) - Static method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
width - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel.WidthResult
 
widthResult(Tree, FontMetrics) - Static method in class edu.stanford.nlp.parser.ui.TreeJPanel
 
WidthResult(double, double, double, double) - Constructor for class edu.stanford.nlp.parser.ui.TreeJPanel.WidthResult
 
wikiFeatureDbFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
wildTW - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
window() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
window - Variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
windowSize - Variable in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
windowSize() - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
 
windowSize - Variable in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
windowSize() - Method in class edu.stanford.nlp.ie.crf.FactorTable
 
windowSize() - Method in class edu.stanford.nlp.ie.crf.FloatFactorTable
 
WINTER - Static variable in class edu.stanford.nlp.time.SUTime
 
WINTER_SOLSTICE - Static variable in class edu.stanford.nlp.time.SUTime
 
withStandardFields() - Method in class edu.stanford.nlp.time.SUTime.PartialTime
 
WORD - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
 
word - Variable in class edu.stanford.nlp.ling.CategoryWordTag
 
word() - Method in class edu.stanford.nlp.ling.CategoryWordTag
 
word() - Method in class edu.stanford.nlp.ling.CoreLabel
Return the word value of the label (or null if none).
word() - Method in interface edu.stanford.nlp.ling.HasWord
Return the word value of the label (or null if none).
word() - Method in class edu.stanford.nlp.ling.IndexedWord
 
Word - Class in edu.stanford.nlp.ling
A Word object acts as a Label by containing a String.
Word() - Constructor for class edu.stanford.nlp.ling.Word
Construct a new word with a null value.
Word(String) - Constructor for class edu.stanford.nlp.ling.Word
Construct a new word, with the given value.
Word(String, int, int) - Constructor for class edu.stanford.nlp.ling.Word
Construct a new word, with the given value.
Word(Label) - Constructor for class edu.stanford.nlp.ling.Word
Creates a new word whose word value is the value of any class that supports the Label interface.
word() - Method in class edu.stanford.nlp.ling.Word
 
word() - Method in class edu.stanford.nlp.ling.WordLemmaTag
 
word() - Method in class edu.stanford.nlp.ling.WordTag
 
word() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
word - Variable in class edu.stanford.nlp.parser.lexparser.HTKLatticeReader.LatticeWord
 
word - Variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
word() - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
word - Variable in class edu.stanford.nlp.parser.lexparser.LatticeEdge
 
WORD_COLUMN - Static variable in class edu.stanford.nlp.tagger.io.TaggedFileRecord
 
WORD_FUNCTION - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
wordClassesFile - Variable in class edu.stanford.nlp.parser.lexparser.EnglishUnknownWordModel
 
wordClassesFile - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
A file of word class data which may be used for smoothing, normally instead of hand-specified signatures.
wordCutOff - Variable in class edu.stanford.nlp.parser.nndep.Config
Refuse to train on words which have a corpus frequency less than this number.
WordFactory - Class in edu.stanford.nlp.ling
A WordFactory acts as a factory for creating objects of class Word.
WordFactory() - Constructor for class edu.stanford.nlp.ling.WordFactory
Creates a new WordFactory.
WordFormAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordFormAnnotation
 
wordFunction - Variable in class edu.stanford.nlp.parser.lexparser.Options
A function that maps words used in training and testing to new words.
wordFunction - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
This function maps words in the training or test data to new words.
wordId() - Method in class edu.stanford.nlp.parser.lexparser.FactoredLexiconEvent
 
wordIgnoreRegex - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Do not learn phrases that match this regex.
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
 
wordIndex - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor
 
WordLemmaTag - Class in edu.stanford.nlp.ling
A WordLemmaTag corresponds to a pair of a tagged (e.g., for part of speech) word and its lemma.
WordLemmaTag(String) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
 
WordLemmaTag(Label) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
 
WordLemmaTag() - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
 
WordLemmaTag(String, String) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
Create a new WordLemmaTag.
WordLemmaTag(String, String, String) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
Create a new WordLemmaTag.
WordLemmaTag(Label, Label) - Constructor for class edu.stanford.nlp.ling.WordLemmaTag
Create a new WordLemmaTag from a Label.
WordLemmaTagFactory - Class in edu.stanford.nlp.ling
/** A WordLemmaTagFactory acts as a factory for creating objects of class WordLemmaTag.
WordLemmaTagFactory() - Constructor for class edu.stanford.nlp.ling.WordLemmaTagFactory
Create a new WordLemmaTagFactory.
WordLemmaTagFactory(char) - Constructor for class edu.stanford.nlp.ling.WordLemmaTagFactory
Create a new WordLemmaTagFactory.
wordnet - Variable in class edu.stanford.nlp.dcoref.Semantics
 
WordNetConnection - Interface in edu.stanford.nlp.trees
Allows us to verify that a wordnet connection is available without compile time errors if the package is not found.
wordNetContains(String) - Method in interface edu.stanford.nlp.trees.WordNetConnection
 
WordnetSynAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordnetSynAnnotation
 
WordPositionAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordPositionAnnotation
 
words - Variable in class edu.stanford.nlp.dcoref.CorefCluster
All words in this cluster - for word inclusion feature
WORDS - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
Dictionary for all words in the corpus
words - Variable in class edu.stanford.nlp.parser.lexparser.BaseLexicon
 
words - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
 
words - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
wordScoring - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
wordSegBeamSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
WordSegmenter - Interface in edu.stanford.nlp.process
An interface for segmenting strings into words (in unwordsegmented languages).
WordSegmentingTokenizer - Class in edu.stanford.nlp.process
A tokenizer that works by calling a WordSegmenter.
WordSegmentingTokenizer(WordSegmenter, Reader) - Constructor for class edu.stanford.nlp.process.WordSegmentingTokenizer
 
WordSegmentingTokenizer(WordSegmenter, Tokenizer<CoreLabel>) - Constructor for class edu.stanford.nlp.process.WordSegmentingTokenizer
 
WordSenseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.WordSenseAnnotation
 
wordsForOtherClass - Variable in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
wordShape(String, int) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
Specify the String and the int identifying which word shaper to use and this returns the result of using that wordshaper on the String.
wordShape(String, int, Collection<String>) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
Specify the string and the int identifying which word shaper to use and this returns the result of using that wordshaper on the String.
wordShape - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
WORDSHAPECHINESE - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS2 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS2USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS3 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS3USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPECHRIS4 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeChris4(String) - Static method in class edu.stanford.nlp.process.WordShapeClassifier
 
WordShapeClassifier - Class in edu.stanford.nlp.process
Provides static methods which map any String to another String indicative of its "word shape" -- e.g., whether capitalized, numeric, etc.
WORDSHAPECLUSTER1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2BIO - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2BIOUSELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDAN2USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEDIGITS - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordShapeGaz - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
WORDSHAPEJENNY1 - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
WORDSHAPEJENNY1USELC - Static variable in class edu.stanford.nlp.process.WordShapeClassifier
 
wordsInSpan - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
 
wordsPatExtracted - Variable in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
WordStemmer - Class in edu.stanford.nlp.trees
Stems the Words in a Tree using Morphology.
WordStemmer() - Constructor for class edu.stanford.nlp.trees.WordStemmer
 
wordsToSentences(List<? extends IN>) - Method in class edu.stanford.nlp.process.WordToSentenceProcessor
Returns a List of Lists where each element is built from a run of Words in the input Document.
WordsToSentencesAnnotator - Class in edu.stanford.nlp.pipeline
This class assumes that there is a List<? extends CoreLabel> under the TokensAnnotation field, and runs it through WordToSentenceProcessor and puts the new List<List<? extends CoreLabel>> under the SentencesAnnotation field.
WordsToSentencesAnnotator() - Constructor for class edu.stanford.nlp.pipeline.WordsToSentencesAnnotator
 
WordsToSentencesAnnotator(boolean) - Constructor for class edu.stanford.nlp.pipeline.WordsToSentencesAnnotator
 
WordsToSentencesAnnotator(boolean, String, Set<String>, Set<String>, String) - Constructor for class edu.stanford.nlp.pipeline.WordsToSentencesAnnotator
 
WordsToSentencesAnnotator(boolean, String, Set<String>, Set<String>, String, String, Set<String>) - Constructor for class edu.stanford.nlp.pipeline.WordsToSentencesAnnotator
 
wordsToValues - Static variable in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
 
wordString(Index<String>) - Method in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
 
WordTag - Class in edu.stanford.nlp.ling
A WordTag corresponds to a tagged (e.g., for part of speech) word and is implemented with String-valued word and tag.
WordTag(String, String) - Constructor for class edu.stanford.nlp.ling.WordTag
Create a new WordTag.
WordTag(String) - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag(E) - Constructor for class edu.stanford.nlp.ling.WordTag
 
WordTag(Label, Label) - Constructor for class edu.stanford.nlp.ling.WordTag
Create a new WordTag from a Label.
WordTagFactory - Class in edu.stanford.nlp.ling
A WordTagFactory acts as a factory for creating objects of class WordTag.
WordTagFactory() - Constructor for class edu.stanford.nlp.ling.WordTagFactory
Create a new WordTagFactory.
WordTagFactory(char) - Constructor for class edu.stanford.nlp.ling.WordTagFactory
Create a new WordTagFactory.
WordToken(String, int, int) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
 
WordToken(String, int, int, int) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.WordToken
 
WordTokenFactory - Class in edu.stanford.nlp.process
Constructs a Word from a String.
WordTokenFactory() - Constructor for class edu.stanford.nlp.process.WordTokenFactory
 
wordTokenToAceToken(RobustTokenizer.WordToken, int) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceSentenceSegmenter
 
wordToNumber(String) - Static method in class edu.stanford.nlp.ie.NumberNormalizer
Fairly generous utility function to convert a string representing a number (hopefully) to a Number.
WordToSentenceProcessor<IN> - Class in edu.stanford.nlp.process
Transforms a List of words into a List of Lists of words (that is, a List of sentences), by grouping the words.
WordToSentenceProcessor() - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
Create a WordToSentenceProcessor using a sensible default list of tokens for sentence ending for English/Latin writing systems.
WordToSentenceProcessor(WordToSentenceProcessor.NewlineIsSentenceBreak) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
Create a WordToSentenceProcessor using a sensible default list of tokens for sentence ending for English/Latin writing systems.
WordToSentenceProcessor(boolean) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
Create a WordToSentenceProcessor which never breaks the input into multiple sentences.
WordToSentenceProcessor(String, Set<String>, Set<String>, WordToSentenceProcessor.NewlineIsSentenceBreak) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
Flexibly set the set of acceptable sentence boundary tokens, but with a default set of allowed boundary following tokens.
WordToSentenceProcessor(String, Set<String>, Set<String>, WordToSentenceProcessor.NewlineIsSentenceBreak, SequencePattern<? super IN>, Set<String>) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
Flexibly set the set of acceptable sentence boundary tokens, but with a default set of allowed boundary following tokens.
WordToSentenceProcessor(Set<String>) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
Set the set of Strings that will mark the end of a sentence, and which will be discarded after doing so.
WordToSentenceProcessor(String, Set<String>, Set<String>, Set<String>, String, WordToSentenceProcessor.NewlineIsSentenceBreak, SequencePattern<? super IN>, Set<String>, boolean, boolean) - Constructor for class edu.stanford.nlp.process.WordToSentenceProcessor
Flexibly set parameters for converting a list of tokens into sentences.
WordToSentenceProcessor.NewlineIsSentenceBreak - Enum in edu.stanford.nlp.process
 
wordToSentences(Properties, boolean, String, Set<String>, Set<String>, String, String, Set<String>) - Method in class edu.stanford.nlp.pipeline.AnnotatorImplementations
Sentence split, in addition to a bunch of other things in this annotator (be careful to check the implementation!)
wordToString(T, boolean) - Static method in class edu.stanford.nlp.ling.Sentence
 
wordToString(T, boolean, String) - Static method in class edu.stanford.nlp.ling.Sentence
 
wordVectorFile - Variable in class edu.stanford.nlp.parser.lexparser.Options.LexOptions
 
wordVectors - Variable in class edu.stanford.nlp.parser.dvparser.DVModel
 
wordVectors - Variable in class edu.stanford.nlp.sentiment.RNNOptions
Filename for the word vectors
wordVectors - Variable in class edu.stanford.nlp.sentiment.SentimentModel
 
worst() - Method in class edu.stanford.nlp.util.EditDistance
 
WrappedExpression() - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.WrappedExpression
 
write(int) - Method in class edu.stanford.nlp.io.BZip2PipedOutputStream
 
write(int) - Method in class edu.stanford.nlp.io.NullOutputStream
 
write(byte[], int, int) - Method in class edu.stanford.nlp.io.NullOutputStream
 
write(byte[]) - Method in class edu.stanford.nlp.io.NullOutputStream
 
write(int) - Method in class edu.stanford.nlp.io.StringOutputStream
 
write(byte[]) - Method in class edu.stanford.nlp.io.TeeStream
 
write(byte[], int, int) - Method in class edu.stanford.nlp.io.TeeStream
 
write(int) - Method in class edu.stanford.nlp.io.TeeStream
 
write(Annotation, OutputStream) - Method in class edu.stanford.nlp.pipeline.AnnotationSerializer
Append a single object to this stream.
write(Annotation, OutputStream) - Method in class edu.stanford.nlp.pipeline.CustomAnnotationSerializer
 
write() - Method in class edu.stanford.nlp.util.CacheMap
Dump out the contents of the cache to the backing file.
write(int) - Method in class edu.stanford.nlp.util.SystemUtils.ProcessOutputStream
 
writeAllData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
Writes out a lot of redundant data from this Object to the Writer w.
writeAnswers(List<IN>, PrintWriter, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
Write the classifications of the Sequence classifier out to a writer in a format determined by the DocumentReaderAndWriter used.
writeAStringToByteArr(byte[], int, String) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
writeAStringToByteArr(byte[], int, String, int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
writeBooleanToByteArr(byte[], int, boolean) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
writeCharToByteArr(byte[], int, char) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
writeClassifier(LinearClassifier<?, ?>, String) - Static method in class edu.stanford.nlp.classify.LinearClassifier
Convenience wrapper for IOUtils.writeObjectToFile
writeColumnOutput(String) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
writeData(PrintWriter) - Method in class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
Default is to throw exception.
writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon
Writes out data from this Object to the Writer w.
writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
Writes out data from this Object to the Writer w.
writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
 
writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
 
writeData(PrintWriter) - Method in interface edu.stanford.nlp.parser.lexparser.DependencyGrammar
Write to text grammar.
writeData(Writer) - Method in interface edu.stanford.nlp.parser.lexparser.Lexicon
Write the lexicon in human-readable format to the Writer.
writeData(PrintWriter) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar
Writes out data from this Object to the Writer w.
writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.Options
 
writeData(Writer) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
Writes out data from this Object.
writeDoubleToByteArr(byte[], int, double) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
writeEVALBline(Tree, Tree) - Static method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
 
writeFile(TransducerGraph, String, String) - Static method in class edu.stanford.nlp.parser.lexparser.GrammarCompactor
 
writeFloatToByteArr(byte[], int, float) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
writeIntToByteArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
writeLabeledData(String) - Method in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
writeLongToByteArr(byte[], int, long) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
writeMatchedTokensFiles - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
writeModelFile(String) - Method in class edu.stanford.nlp.parser.nndep.DependencyParser
 
writeObjectToFile(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to a file with the specified name.
writeObjectToFile(Object, File) - Static method in class edu.stanford.nlp.io.IOUtils
Write an object to a specified File.
writeObjectToFile(Object, File, boolean) - Static method in class edu.stanford.nlp.io.IOUtils
Write an object to a specified File.
writeObjectToFileNoExceptions(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to a file with the specified name.
writeObjectToTempFile(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to temp file which is destroyed when the program exits.
writeObjectToTempFileNoExceptions(Object, String) - Static method in class edu.stanford.nlp.io.IOUtils
Write object to a temp file and ignore exceptions.
writeOutputFiles - Variable in class edu.stanford.nlp.parser.lexparser.TestOptions
If true, write files parsed to a new file with the same name except for an added ".stp" extension.
writePatternsIfInMemory(String) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
 
writeShortToByteArr(byte[], int, short) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
writeStreamFromString(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
writeStreamToStream(InputStream, OutputStream) - Static method in class edu.stanford.nlp.io.IOUtils
Send all bytes from the input stream to the output stream.
writeStringToFile(String, String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Writes a string to a file.
writeStringToFileNoExceptions(String, String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Writes a string to a file, squashing exceptions
writeStringToTempFile(String, String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Writes a string to a temporary file
writeStringToTempFile(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Writes a string to a temporary file, as UTF-8
writeStringToTempFileNoExceptions(String, String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Writes a string to a temporary file, squashing exceptions
writeStringToTempFileNoExceptions(String, String) - Static method in class edu.stanford.nlp.io.IOUtils
Writes a string to a temporary file with UTF-8 encoding, squashing exceptions
writeSVMLightFormat(File) - Method in class edu.stanford.nlp.classify.RVFDataset
Write the dataset in SVM-light format to the file.
writeSVMLightFormat(PrintWriter) - Method in class edu.stanford.nlp.classify.RVFDataset
 
writeTabSep(PrintWriter, CoreMap, CollectionValuedMap<String, CoreMap>) - Static method in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader
 
writeTagsAndErrors(String[], PrintFile, boolean) - Method in class edu.stanford.nlp.tagger.maxent.TestSentence
Write the tagging and note any errors (if pf != null) and accumulate global statistics.
writeTree(Tree) - Method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
 
writeTrees(Tree, Tree) - Method in class edu.stanford.nlp.parser.lexparser.EvalbFormatWriter
 
writeUStringToByteArr(byte[], int, String) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
writeUStringToByteArr(byte[], int, String, int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
 
writeWeights(PrintStream) - Method in class edu.stanford.nlp.ie.crf.CRFClassifier
 

X

x - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
x - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
x - Variable in class edu.stanford.nlp.optimization.StochasticMinimizer
 
XCLAUSAL_COMPLEMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
An open clausal complement (xcomp) of a VP or an ADJP is a clausal complement without its own subject, whose reference is determined by an external subject.
xcompVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
 
XML_EXT - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
 
XML_INPUT - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
XMLBeginEndIterator<E> - Class in edu.stanford.nlp.objectbank
A class which iterates over Strings occurring between the begin and end of a selected tag or tags.
XMLBeginEndIterator(Reader, String) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, Function<String, E>, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, boolean, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, Function<String, E>, boolean, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XMLBeginEndIterator(Reader, String, Function<String, E>, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.objectbank.XMLBeginEndIterator
 
XmlContextAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.XmlContextAnnotation
 
XmlElementAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.XmlElementAnnotation
 
XMLOutputter - Class in edu.stanford.nlp.pipeline
An outputter to XML format.
XMLOutputter() - Constructor for class edu.stanford.nlp.pipeline.XMLOutputter
 
xmlPrint(Annotation, Writer) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
Wrapper around xmlPrint(Annotation, OutputStream).
xmlPrint(Annotation, OutputStream) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
Displays the output of all annotators in XML format.
xmlPrint(Annotation, OutputStream) - Static method in class edu.stanford.nlp.pipeline.XMLOutputter
 
xmlPrint(Annotation, OutputStream, StanfordCoreNLP) - Static method in class edu.stanford.nlp.pipeline.XMLOutputter
 
xmlPrint(Annotation, OutputStream, AnnotationOutputter.Options) - Static method in class edu.stanford.nlp.pipeline.XMLOutputter
 
XMLTag(String) - Constructor for class edu.stanford.nlp.util.XMLUtils.XMLTag
Assumes that String contains an XML tag.
XMLUtils - Class in edu.stanford.nlp.time
XML Utility functions for use with dealing with Timex expressions
XMLUtils() - Constructor for class edu.stanford.nlp.time.XMLUtils
 
XMLUtils - Class in edu.stanford.nlp.util
Provides some utilities for dealing with XML files, both by properly parsing them and by using the methods of a desperate Perl hacker.
XMLUtils.XMLTag - Class in edu.stanford.nlp.util
 
xnorm - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
xPerturbed - Variable in class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
 
xscale - Variable in class edu.stanford.nlp.optimization.SGDMinimizer
 
xSize - Variable in class edu.stanford.nlp.maxent.Experiments
 
xTree(List<? extends HasWord>) - Static method in class edu.stanford.nlp.parser.common.ParserUtils
Construct a fall through tree in case we can't parse this sentence

Y

year - Variable in class edu.stanford.nlp.time.SUTime.IsoDate
Year of Era
YEAR - Static variable in class edu.stanford.nlp.time.SUTime
 
YearAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.YearAnnotation
 
YEARLY - Static variable in class edu.stanford.nlp.time.SUTime
 
YearOfDecade - Static variable in class edu.stanford.nlp.time.JodaTimeUtils
 
YELLOW - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
 
YESTERDAY - Static variable in class edu.stanford.nlp.time.SUTime
 
yield() - Method in class edu.stanford.nlp.trees.Tree
Gets the yield of the tree.
yield(ArrayList<Label>) - Method in class edu.stanford.nlp.trees.Tree
Gets the yield of the tree.
yield(List<T>) - Method in class edu.stanford.nlp.trees.Tree
Gets the yield of the tree.
yieldHasWord() - Method in class edu.stanford.nlp.trees.Tree
 
yieldHasWord(ArrayList<X>) - Method in class edu.stanford.nlp.trees.Tree
 
yieldWords() - Method in class edu.stanford.nlp.trees.Tree
 
yieldWords(ArrayList<Word>) - Method in class edu.stanford.nlp.trees.Tree
 
yList - Variable in class edu.stanford.nlp.optimization.ScaledSGDMinimizer
 
yList - Variable in class edu.stanford.nlp.optimization.SGDWithAdaGradAndFOBOS
 
ySize - Variable in class edu.stanford.nlp.maxent.Experiments
 
yylex() - Method in interface edu.stanford.nlp.io.Lexer
Gets the next token from input and returns an integer value signalling what to do with the token.
yyreset(Reader) - Method in interface edu.stanford.nlp.io.Lexer
put a Reader inside the Lexer.
yytext() - Method in interface edu.stanford.nlp.io.Lexer
returns the matched input text region

Z

z - Variable in class edu.stanford.nlp.ie.crf.CRFCliqueTree
 
ZERO_TGN_CHILDREN - Static variable in class edu.stanford.nlp.trees.TreeGraphNode
A leaf node should have a zero-length array for its children.
zeroOrMore(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
zero or more
zeroOrOne(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
zero or one
zip(Iterable<T1>, Iterable<T2>) - Static method in class edu.stanford.nlp.util.Iterables
Zips two iterables into one iterable over Pairs of corresponding elements in the two underlying iterables.
zip(Iterable<T1>, T2[]) - Static method in class edu.stanford.nlp.util.Iterables
Zips two iterables into one iterable over Pairs of corresponding elements in the two underlying iterables.
zip(T1[], Iterable<T2>) - Static method in class edu.stanford.nlp.util.Iterables
Zips two iterables into one iterable over Pairs of corresponding elements in the two underlying iterables.
zip(T1[], T2[]) - Static method in class edu.stanford.nlp.util.Iterables
Zips two iterables into one iterable over Pairs of corresponding elements in the two underlying iterables.
zip(Iterator<T1>, Iterator<T2>) - Static method in class edu.stanford.nlp.util.Iterables
Zips up two iterators into one iterator over Pairs of corresponding elements.
zlambda - Variable in class edu.stanford.nlp.maxent.iis.LambdaSolve
Normalization factors, one for each x.

_

_createTemporal(int) - Method in enum edu.stanford.nlp.time.SUTime.StandardTemporalType
 
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