Index (Stanford CoreNLP API)

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _

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 and 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: Analogous to StringUtils.argsToMap(java.lang.String[]).
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: Return the evalb F1% from the last call to AbstractEval.evaluate(edu.stanford.nlp.trees.Tree, edu.stanford.nlp.trees.Tree).
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: Convenience method; see DependencyParser.loadFromModelFile(String, java.util.Properties).
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: Same as Iterables.merge(Iterable, Iterable, Iterable, IncrementComparator, IncrementComparator) but using the given (symmetric) comparator.
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: This is the original version of GenericDataSetReader.findSyntacticHead(edu.stanford.nlp.ie.machinereading.structure.EntityMention, edu.stanford.nlp.trees.Tree, java.util.List<edu.stanford.nlp.ling.CoreLabel>) before Chris's modifications.
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: Specify your own TreeNormalizer; uses a PennTreebankTokenizer, and a LabeledScoredTreeFactory.
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: Convenience method for DependencyParser.predict(edu.stanford.nlp.util.CoreMap).
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: Reads characters until isWhiteSpace(ch)or isPunct(ch) or StringParsingTask.isEOF().
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: Set the LineSearcher to be used in LinearClassifierFactory.heldOutSetSigma(GeneralDataset, GeneralDataset).
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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