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A

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
 
AbstractDataset - Class in edu.stanford.nlp.trees.treebank
 
AbstractDataset() - Constructor for class edu.stanford.nlp.trees.treebank.AbstractDataset
 
AbstractDataset.SplitFilter - Class in edu.stanford.nlp.trees.treebank
 
AbstractDataset.SplitFilter(Set<String>) - Constructor for class edu.stanford.nlp.trees.treebank.AbstractDataset.SplitFilter
 
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.CatErrorEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
 
AbstractEval.RuleErrorEval - Class in edu.stanford.nlp.parser.metrics
 
AbstractEval.RuleErrorEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.RuleErrorEval
 
AbstractEval.ScoreEval - Class in edu.stanford.nlp.parser.metrics
This isn't really a kind of AbstractEval: we're sort of cheating here.
AbstractEval.ScoreEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.ScoreEval
 
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
 
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
 
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.AnnotatePunctuationFunction(String, String) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
 
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.RemoveGFSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.RemoveGFSubcategoryStripper
 
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.
AbstractTreebankParserParams.SubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.SubcategoryStripper
 
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
 
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.
accept(T) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
 
accept(MatchedExpression) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationMatchedFilter
 
accept(Tree) - Method in class edu.stanford.nlp.parser.dvparser.FilterConfusingRules
 
accept(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).
accept(Tree) - Method in class edu.stanford.nlp.trees.BobChrisTreeNormalizer.EmptyFilter
Doesn't accept nodes that only cover an empty.
accept(Dependency<G, D, N>) - Method in class edu.stanford.nlp.trees.Dependencies.DependentPuncTagRejectFilter
 
accept(Dependency<G, D, N>) - Method in class edu.stanford.nlp.trees.Dependencies.DependentPuncWordRejectFilter
 
accept(Tree) - Method in class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer.ArabicEmptyFilter
 
accept(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).
accept(Tree) - Method in class edu.stanford.nlp.trees.international.hebrew.HebrewTreeNormalizer.HebrewEmptyFilter
 
accept(Tree) - Method in class edu.stanford.nlp.trees.LengthTreeFilter
 
accept(File) - Method in class edu.stanford.nlp.trees.treebank.AbstractDataset.SplitFilter
 
accept(Tree) - Method in class edu.stanford.nlp.trees.TreeFilters.HasMatchingChild
 
accept(String) - Method in class edu.stanford.nlp.util.ArrayStringFilter
 
accept(T) - Method in interface edu.stanford.nlp.util.Filter
Checks if the given object passes the filter.
accept(T) - Method in class edu.stanford.nlp.util.Filters.ConjFilter
 
accept(T) - Method in class edu.stanford.nlp.util.Filters.DisjFilter
 
accept(E) - Method in class edu.stanford.nlp.util.Filters.RandomFilter
 
accept(String) - Method in class edu.stanford.nlp.util.RegexStringFilter
 
acceptFilter() - Static method in class edu.stanford.nlp.util.Filters
The acceptFilter accepts everything.
accepting - Variable in class edu.stanford.nlp.fsm.DFSAState
 
accuracy(Iterator<RVFDatum<L, F>>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
 
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
 
adaDeltaRho - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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(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(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(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
 
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
 
addDeterminer - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
 
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
 
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
addFiles(List<String>) - Method in class edu.stanford.nlp.trees.treebank.DistributionPackage
Adds a listing of files to the distribution archive
addFilter(Filter<T>) - Method in class edu.stanford.nlp.util.Filters.ConjFilter
 
addFilter(Filter<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
 
addParent(EventMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
 
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
 
addRoot - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
 
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
 
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.
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
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
 
allPatternsandWords - Variable in class edu.stanford.nlp.patterns.surface.GetPatternsFromDataMultiClass
 
allPatternsandWords4Label - Variable in class edu.stanford.nlp.patterns.surface.ScorePatterns
 
allPatternsFile - 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
 
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
 
andFilter(Filter<E>, Filter<E>) - Static method in class edu.stanford.nlp.util.Filters
Filter that accepts only when both filters accept (AND).
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.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.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(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
annotateChunk(CoreMap, List<CoreLabel>, int, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Annotates a CoreMap representing a chunk with basic chunk information CharacterOffsetBeginAnnotation - set to CharacterOffsetBeginAnnotation of first token in chunk CharacterOffsetEndAnnotation - set to CharacterOffsetEndAnnotation of last token in chunk TokensAnnotation - List of tokens in this chunk TokenBeginAnnotation - Index of first token in chunk (index in original list of tokens) tokenStartIndex + totalTokenOffset TokenEndAnnotation - Index of last token in chunk (index in original list of tokens) tokenEndIndex + totalTokenOffset
annotateChunk(CoreMap, Class, Class, CoreMapAttributeAggregator) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
annotateChunk(CoreMap, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
annotateChunks(List<? extends CoreMap>, int, int, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
annotateChunks(List<? extends CoreMap>, Map<String, String>) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
 
annotateChunkText(CoreMap, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Annotates a CoreMap representing a chunk with text information TextAnnotation - String representing tokens in this chunks (token text separated by space)
annotateChunkText(CoreMap, CoreMap) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Annotates a CoreMap representing a chunk with text information TextAnnotation - String extracted from the origAnnotation using character offset information for this chunk
annotateChunkTokens(CoreMap, Class, Class) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils
Annotates tokens in chunk
AnnotatedTextReader - Class in edu.stanford.nlp.patterns.surface
CanNOT handle overlapping labeled text (that is one token cannot belong to multiple labels)! Note that there has to be spaces around the tags for the reader to work correctly!
AnnotatedTextReader() - Constructor for class edu.stanford.nlp.patterns.surface.AnnotatedTextReader
 
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
 
annotateMulticlass(List<Datum<String, String>>) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
 
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_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
 
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
 
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.IntermediateEdge(String, int, int, int, int, boolean) - Constructor for class edu.stanford.nlp.pipeline.AnnotationSerializer.IntermediateEdge
 
AnnotationSerializer.IntermediateNode - Class in edu.stanford.nlp.pipeline
 
AnnotationSerializer.IntermediateNode(String, int, int, int, boolean) - Constructor for class edu.stanford.nlp.pipeline.AnnotationSerializer.IntermediateNode
 
AnnotationSerializer.IntermediateSemanticGraph - Class in edu.stanford.nlp.pipeline
 
AnnotationSerializer.IntermediateSemanticGraph() - Constructor for class edu.stanford.nlp.pipeline.AnnotationSerializer.IntermediateSemanticGraph
 
AnnotationSerializer.IntermediateSemanticGraph(List<AnnotationSerializer.IntermediateNode>, List<AnnotationSerializer.IntermediateEdge>) - Constructor for class edu.stanford.nlp.pipeline.AnnotationSerializer.IntermediateSemanticGraph
 
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, XMLOutputter.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.
Annotator.Requirement(String) - Constructor for class edu.stanford.nlp.pipeline.Annotator.Requirement
 
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
 
answerClass - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
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
 
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
 
aOverAFilter - Variable in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
 
aOverAFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
 
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(List<HasWord>) - Method in class edu.stanford.nlp.international.arabic.IBMArabicEscaper
Converts an input list of HasWord in IBM Arabic to LDC ATBv3 representation.
apply(String) - Method in class edu.stanford.nlp.international.arabic.IBMArabicEscaper
Applies escaping to a single word.
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
A convenience method which wraps the ParserQuery and returns a Tree
apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
 
apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
Converts a Sentence/List/String into a Tree.
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(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(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
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(T1) - Method in interface edu.stanford.nlp.util.Function
Converts a T1 to a different T2.
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<SurfacePattern>, String, boolean, TwoDimensionalCounter<Pair<String, String>, SurfacePattern>, CollectionValuedMap<SurfacePattern, Triple<String, Integer, Integer>>) - Method in class edu.stanford.nlp.patterns.surface.ScorePhrases
 
ApplyPatternsMulti - Class in edu.stanford.nlp.patterns.surface
 
ApplyPatternsMulti(Map<String, List<CoreLabel>>, List<String>, Map<TokenSequencePattern, SurfacePattern>, String, boolean, boolean, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.surface.ApplyPatternsMulti
 
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
APPROVE_OPTION - Static variable in class edu.stanford.nlp.io.ui.OpenPageDialog
 
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
 
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
 
arabicAoverAFilter(Tree) - Method in class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
 
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
 
ArabicDocumentReaderAndWriter.RewrittenArabicAnnotation() - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter.RewrittenArabicAnnotation
 
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
 
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
ArabicMorphoFeatureSpecification.ArabicMorphoFeatures() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
 
arabicPunc - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
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
 
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
 
ArabicTreebankParserParams.ArabicSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams.ArabicSubcategoryStripper
 
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.
ArabicTreeNormalizer.ArabicEmptyFilter() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer.ArabicEmptyFilter
 
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
 
ArabicTreeReaderFactory.ArabicRawTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
 
ArabicTreeReaderFactory.ArabicRawTreeReaderFactory(boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
 
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
 
ARCH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
 
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.
argmax(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmax(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmax(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmax(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Finds and returns the key in the Counter with the largest count.
argmax(Counter<E>, Comparator<E>) - Static method in class edu.stanford.nlp.stats.Counters
Finds and returns the key in the Counter with the largest count.
argmax() - Method in class edu.stanford.nlp.stats.Distribution
 
argmax(Comparator<E>) - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the key in this Counter with the largest count.
argmax() - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the key in this Counter with the largest count.
argmax_tieLast(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmin(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmin(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmin(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
 
argmin(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
Finds and returns the key in this Counter with the smallest count.
argmin(Counter<E>, Comparator<E>) - Static method in class edu.stanford.nlp.stats.Counters
Finds and returns the key in this Counter with the smallest count.
argmin(Comparator<E>) - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the key in this Counter with the smallest count.
argmin() - Method in class edu.stanford.nlp.stats.IntCounter
Finds and returns the key in this Counter with the smallest count.
argNames - Variable in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
List of argument names in this relation
args - Variable in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
List of arguments in this relation If unnamed, arguments MUST be stored in semantic order, e.g., ARG0 must be a person in a employed-by relation
argsMatch(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
argsMatch(ExtractionObject...) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
 
argsMatch(List<ExtractionObject>) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
Verifies if the two sets of arguments match
argsToMap(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
Parses command line arguments into a Map.
argsToMap(String[], Map<String, Integer>) - Static method in class edu.stanford.nlp.util.StringUtils
Parses command line arguments into a Map.
argsToProperties(String...) - Static method in class edu.stanford.nlp.util.StringUtils
In this version each flag has zero or one argument.
argsToProperties(String[], Map<String, Integer>) - Static method in class edu.stanford.nlp.util.StringUtils
argsToPropertiesWithResolve(String[]) - Static method in class edu.stanford.nlp.util.StringUtils
convert args to properties with variable names resolved.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations
The "argument" grammatical relation.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations
The "argument" (arg) grammatical relation (abstract).
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
 
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
 
ArrayMath.InvalidElementException(String) - Constructor for exception edu.stanford.nlp.math.ArrayMath.InvalidElementException
 
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 onstructed 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.
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
 
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
 
ATBArabicDataset - Class in edu.stanford.nlp.international.arabic.pipeline
Converts raw ATB trees into a format appropriate for treebank parsing.
ATBArabicDataset() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset
 
ATBArabicDataset.ArabicRawTreeNormalizer - Class in edu.stanford.nlp.international.arabic.pipeline
A TreeVisitor for raw ATB trees.
ATBArabicDataset.ArabicRawTreeNormalizer(PrintWriter, PrintWriter) - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBArabicDataset.ArabicRawTreeNormalizer
 
ATBCorrector - Class in edu.stanford.nlp.international.arabic.pipeline
Makes ATB trees consistent with ArabicTreebankLanguagePack.
ATBCorrector() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBCorrector
 
ATBCorrectorVisitor - Class in edu.stanford.nlp.international.arabic.pipeline
Wrapper class for using the ATBCorrector class with TreebankPipeline's TVISITOR parameter.
ATBCorrectorVisitor() - Constructor for class edu.stanford.nlp.international.arabic.pipeline.ATBCorrectorVisitor
 
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.
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
 
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<ShiftReduceParser>) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
averagePerceptron - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
averageScoredModels(Collection<ScoredObject<ShiftReduceParser>>) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
 
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
 
backupFile(File) - Static method in class edu.stanford.nlp.io.IOUtils
 
backupName(String) - Static method in class edu.stanford.nlp.io.IOUtils
 
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.
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
 
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.
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
 
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
 
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
 
BasicSequenceMatchResult.MatchedGroup(BasicSequenceMatchResult.MatchedGroup) - Constructor for class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult.MatchedGroup
 
BasicSequenceMatchResult.MatchedGroup(int, int, Object) - Constructor for class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult.MatchedGroup
 
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.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
 
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
 
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
 
begin() - Method in class edu.stanford.nlp.time.SUTime.Range
 
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
 
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
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.AOverAFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.AOverAFilter
 
BobChrisTreeNormalizer.EmptyFilter - Class in edu.stanford.nlp.trees
 
BobChrisTreeNormalizer.EmptyFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.EmptyFilter
 
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
 
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.
breakingTags - Static variable in class edu.stanford.nlp.util.XMLUtils
Block-level HTML tags that are rendered with surrounding line breaks.
BROKEN - Static variable in class edu.stanford.nlp.classify.ClassifierExample
 
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.international.arabic.pipeline.ATBArabicDataset
 
build() - Method in class edu.stanford.nlp.international.french.pipeline.FTBDataset
 
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
 
build() - Method in class edu.stanford.nlp.trees.treebank.AbstractDataset
 
build() - Method in interface edu.stanford.nlp.trees.treebank.Dataset
Generic method for loading, processing, and writing a dataset.
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
 
buildSplitMap(String) - Method in class edu.stanford.nlp.trees.treebank.AbstractDataset
 
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
 
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.LogConditionalEqConstraintFunction
 
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
 
call() - Method in class edu.stanford.nlp.patterns.surface.ApplyPatternsMulti
 
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
 
CANCEL_OPTION - Static variable in class edu.stanford.nlp.io.ui.OpenPageDialog
 
canChangeEncoding(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
 
canChangeEncoding(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.LDCPosMapper
 
canChangeEncoding(String, String) - Method in class edu.stanford.nlp.trees.treebank.DefaultMapper
 
canChangeEncoding(String, String) - Method in interface edu.stanford.nlp.trees.treebank.Mapper
Indicates whether child can be converted to another encoding.
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
 
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.
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
 
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.
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.
changeSbarToPP(Tree) - Method in class edu.stanford.nlp.trees.CoordinationTransformer
For certain phrases, we change the SBAR to a PP to get prep/pcomp dependencies.
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)
characters(char[], int, int) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
 
Characters - Class in edu.stanford.nlp.util
Character-level utilities.
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
 
checkExistsOrFail(File) - Static method in class edu.stanford.nlp.io.FileSystem
 
checkFile(File) - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
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
 
checkNotExistsOrFail(File) - Static method in class edu.stanford.nlp.io.FileSystem
 
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
 
childrenNamesSpi() - Method in class edu.stanford.nlp.util.DisabledPreferences
 
childSpi(String) - Method in class edu.stanford.nlp.util.DisabledPreferences
 
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
 
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
 
ChineseCoreAnnotations.CharactersAnnotation() - Constructor for class edu.stanford.nlp.ling.ChineseCoreAnnotations.CharactersAnnotation
 
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, Filter<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, Filter<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
 
ChineseGrammaticalStructure.FromDependenciesFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure.FromDependenciesFactory
 
ChineseGrammaticalStructureFactory - Class in edu.stanford.nlp.trees.international.pennchinese
 
ChineseGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
 
ChineseGrammaticalStructureFactory(Filter<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
 
ChineseGrammaticalStructureFactory(Filter<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
 
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.
ChineseMarkovWordSegmenter - Class in edu.stanford.nlp.parser.lexparser
Performs word segmentation with a hierarchical markov model over POS and over characters given POS.
ChineseMarkovWordSegmenter(ChineseCharacterBasedLexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
 
ChineseMarkovWordSegmenter(ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseMarkovWordSegmenter
 
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
 
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, SurfacePattern>, 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.
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)
CL - Static variable in class edu.stanford.nlp.classify.NaiveBayesClassifierFactory
 
classBias - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
 
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_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
ClassifierExample - Class in edu.stanford.nlp.classify
Sample code that illustrates the training and use of a linear classifier.
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>>, 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
 
classNames - Variable in class edu.stanford.nlp.sentiment.RNNOptions
 
classOf(Datum<L, F>) - Method in interface edu.stanford.nlp.classify.Classifier
 
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 class edu.stanford.nlp.classify.NaiveBayesClassifier
 
classOf(Datum<L, F>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
 
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.
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.
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
 
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, 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.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
 
clearDocument() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
clearError() - Method in class edu.stanford.nlp.util.logging.RedwoodPrintStream
 
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 hte 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.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
 
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
 
collapseApproximate - Static variable in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers
Collapse records in a heuristic way to make reading easier.
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.ArrayListFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
 
CollectionFactory.HashSetFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.HashSetFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.HashSetFactory
 
CollectionFactory.LinkedListFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.LinkedListFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.LinkedListFactory
 
CollectionFactory.SizedArrayListFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.SizedArrayListFactory(int) - Constructor for class edu.stanford.nlp.util.CollectionFactory.SizedArrayListFactory
 
CollectionFactory.TreeSetFactory<T> - Class in edu.stanford.nlp.util
 
CollectionFactory.TreeSetFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.TreeSetFactory
 
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.
collinizer() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
 
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.
collinizerEvalb() - Method in class edu.stanford.nlp.parser.lexparser.TueBaDZParserParams
 
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
colorToHTML(Color) - Static method in class edu.stanford.nlp.ie.crf.NERGUI
 
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.
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.
combineConjp(Tree) - Method in class edu.stanford.nlp.trees.CoordinationTransformer
 
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.
commonWordsPatternFiles - Variable in class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
Words to be ignored when learning phrases if removePhrasesWithStopWords or removeStopWordsFromSelectedPhrases is true.
communicateWithNERServer(String, int, String) - Static method in class edu.stanford.nlp.ie.NERServer.NERClient
 
communicateWithNERServer(String, int, String, BufferedReader, BufferedWriter, boolean) - Static method in class edu.stanford.nlp.ie.NERServer.NERClient
 
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
 
Comparators - Class in edu.stanford.nlp.util
 
Comparators() - Constructor for class edu.stanford.nlp.util.Comparators
 
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(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.
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
 
CompositeFieldValue(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
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
 
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
 
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
 
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
 
CONDENSE - Static variable in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
 
condense() - Method in class edu.stanford.nlp.parser.shiftreduce.Weight
 
condenseFeatures() - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
Iterate over the feature weight map.
CondExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
CondGroup(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
 
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
 
configLogger(String) - Static method in class edu.stanford.nlp.time.SUTimeMain
 
ConfigParser - Class in edu.stanford.nlp.trees.treebank
 
ConfigParser(String) - Constructor for class edu.stanford.nlp.trees.treebank.ConfigParser
 
configuredOptions - Variable in class edu.stanford.nlp.trees.treebank.AbstractDataset
 
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.
ConfusionMatrix.Contingency(int, int, int, int) - Constructor for class edu.stanford.nlp.util.ConfusionMatrix.Contingency
 
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.CorefMentionAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.CorefMentionAnnotation
 
CoNLL2011DocumentReader.CorpusStats - Class in edu.stanford.nlp.dcoref
 
CoNLL2011DocumentReader.CorpusStats() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.CorpusStats
 
CoNLL2011DocumentReader.Document - Class in edu.stanford.nlp.dcoref
 
CoNLL2011DocumentReader.Document() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Document
 
CoNLL2011DocumentReader.NamedEntityAnnotation - Class in edu.stanford.nlp.dcoref
 
CoNLL2011DocumentReader.NamedEntityAnnotation() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.NamedEntityAnnotation
 
CoNLL2011DocumentReader.Options - Class in edu.stanford.nlp.dcoref
Flags
CoNLL2011DocumentReader.Options() - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
CoNLL2011DocumentReader.Options(String) - Constructor for class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
 
CONLL_OUTPUT_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
 
CONLL_SCORER - Static variable in class edu.stanford.nlp.dcoref.Constants
 
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
 
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() - Constructor for class edu.stanford.nlp.patterns.surface.ConstantsAndVariables
 
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, Filter<Tree>) - Method in class edu.stanford.nlp.trees.Tree
 
constituentTreePrinter - Variable in class edu.stanford.nlp.pipeline.XMLOutputter.Options
How to print a constituent tree
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.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
 
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
 
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.
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
 
convertStringEquality(List<Collection<TypedDependency>>) - Static method in class edu.stanford.nlp.trees.DependencyScoring
 
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.
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
 
copyCount() - Method in class edu.stanford.nlp.ling.CoreLabel
 
copyCount() - Method in class edu.stanford.nlp.ling.IndexedWord
 
copyDocument() - Method in class edu.stanford.nlp.ie.crf.NERGUI
 
copyFile(File, File) - Static method in class edu.stanford.nlp.io.FileSystem
Copies a file.
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
copyWeights(ShiftReduceParser) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
Fill in the current object's weights with the other parser's weights.
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.AbbrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbbrAnnotation
 
CoreAnnotations.AbgeneAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AbgeneAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbgeneAnnotation
 
CoreAnnotations.AbstrAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AbstrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbstrAnnotation
 
CoreAnnotations.AfterAnnotation - Class in edu.stanford.nlp.ling
Annotation for the whitespace characters appear after this word.
CoreAnnotations.AfterAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation
 
CoreAnnotations.AnswerAnnotation - Class in edu.stanford.nlp.ling
The standard key for the answer which is a String
CoreAnnotations.AnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation
 
CoreAnnotations.AnswerObjectAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.AnswerObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerObjectAnnotation
 
CoreAnnotations.AntecedentAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the annotation's antecedent.
CoreAnnotations.AntecedentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AntecedentAnnotation
 
CoreAnnotations.ArgDescendentAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ArgDescendentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgDescendentAnnotation
 
CoreAnnotations.ArgumentAnnotation - Class in edu.stanford.nlp.ling
The standard key for a propbank label which is of type Argument
CoreAnnotations.ArgumentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgumentAnnotation
 
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.AuthorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AuthorAnnotation
 
CoreAnnotations.BagOfWordsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.BagOfWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BagOfWordsAnnotation
 
CoreAnnotations.BeAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.BeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeAnnotation
 
CoreAnnotations.BeforeAnnotation - Class in edu.stanford.nlp.ling
Annotation for the whitespace characters appearing before this word.
CoreAnnotations.BeforeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation
 
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.BeginIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeginIndexAnnotation
 
CoreAnnotations.BestCliquesAnnotation - Class in edu.stanford.nlp.ling
Used in Task3 Pascal system
CoreAnnotations.BestCliquesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestCliquesAnnotation
 
CoreAnnotations.BestFullAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.BestFullAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestFullAnnotation
 
CoreAnnotations.CalendarAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the date and time associated with an annotation.
CoreAnnotations.CalendarAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CalendarAnnotation
 
CoreAnnotations.CategoryAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CategoryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation
 
CoreAnnotations.CategoryFunctionalTagAnnotation - Class in edu.stanford.nlp.ling
The standard key for storing category with functional tags.
CoreAnnotations.CategoryFunctionalTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation
 
CoreAnnotations.CharacterOffsetBeginAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key identifying the offset of the first character of an annotation.
CoreAnnotations.CharacterOffsetBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetBeginAnnotation
 
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.CharacterOffsetEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEndAnnotation
 
CoreAnnotations.CharAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharAnnotation
 
CoreAnnotations.ChineseCharAnnotation - Class in edu.stanford.nlp.ling
for Chinese: character level information, segmentation
CoreAnnotations.ChineseCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseCharAnnotation
 
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.ChineseIsSegmentedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseIsSegmentedAnnotation
 
CoreAnnotations.ChineseOrigSegAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ChineseOrigSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseOrigSegAnnotation
 
CoreAnnotations.ChineseSegAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ChineseSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseSegAnnotation
 
CoreAnnotations.ChunkAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ChunkAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation
 
CoreAnnotations.CoarseTagAnnotation - Class in edu.stanford.nlp.ling
CoNLL dep parsing - coarser POS tags.
CoreAnnotations.CoarseTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoarseTagAnnotation
 
CoreAnnotations.CommonWordsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CommonWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CommonWordsAnnotation
 
CoreAnnotations.CoNLLDepAnnotation - Class in edu.stanford.nlp.ling
CoNLL dep parsing - the dependency type
CoreAnnotations.CoNLLDepAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepAnnotation
 
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.CoNLLDepParentIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepParentIndexAnnotation
 
CoreAnnotations.CoNLLDepTypeAnnotation - Class in edu.stanford.nlp.ling
CoNLL dep parsing - the dependency type
CoreAnnotations.CoNLLDepTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLDepTypeAnnotation
 
CoreAnnotations.CoNLLPredicateAnnotation - Class in edu.stanford.nlp.ling
CoNLL SRL/dep parsing - whether the word is a predicate
CoreAnnotations.CoNLLPredicateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLPredicateAnnotation
 
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.CoNLLSRLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CoNLLSRLAnnotation
 
CoreAnnotations.ContextsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.ContextsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ContextsAnnotation
 
CoreAnnotations.CopyAnnotation - Class in edu.stanford.nlp.ling
Used in nlp.trees.
CoreAnnotations.CopyAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CopyAnnotation
 
CoreAnnotations.CostMagnificationAnnotation - Class in edu.stanford.nlp.ling
Key for relative value of a word - used in RTE
CoreAnnotations.CostMagnificationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CostMagnificationAnnotation
 
CoreAnnotations.CovertIDAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.CovertIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CovertIDAnnotation
 
CoreAnnotations.D2_LBeginAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.D2_LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LBeginAnnotation
 
CoreAnnotations.D2_LEndAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.D2_LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LEndAnnotation
 
CoreAnnotations.D2_LMiddleAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.D2_LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.D2_LMiddleAnnotation
 
CoreAnnotations.DayAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DayAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DayAnnotation
 
CoreAnnotations.DependentsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DependentsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DependentsAnnotation
 
CoreAnnotations.DictAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DictAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DictAnnotation
 
CoreAnnotations.DistSimAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DistSimAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DistSimAnnotation
 
CoreAnnotations.DoAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.DoAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DoAnnotation
 
CoreAnnotations.DocDateAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.DocDateAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocDateAnnotation
 
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.DocIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocIDAnnotation
 
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.DocSourceTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocSourceTypeAnnotation
 
CoreAnnotations.DocTitleAnnotation - Class in edu.stanford.nlp.ling
Document title What is the document title
CoreAnnotations.DocTitleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocTitleAnnotation
 
CoreAnnotations.DocTypeAnnotation - Class in edu.stanford.nlp.ling
Document type What kind of document is it: story, multi-part article, listing, email, etc
CoreAnnotations.DocTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DocTypeAnnotation
 
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.DomainAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.DomainAnnotation
 
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.EndIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EndIndexAnnotation
 
CoreAnnotations.EntityClassAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.EntityClassAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityClassAnnotation
 
CoreAnnotations.EntityRuleAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.EntityRuleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityRuleAnnotation
 
CoreAnnotations.EntityTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.EntityTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.EntityTypeAnnotation
 
CoreAnnotations.FeaturesAnnotation - Class in edu.stanford.nlp.ling
The standard key for the features which is a Collection
CoreAnnotations.FeaturesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FeaturesAnnotation
 
CoreAnnotations.FemaleGazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.FemaleGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FemaleGazAnnotation
 
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.FirstChildAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FirstChildAnnotation
 
CoreAnnotations.ForcedSentenceEndAnnotation - Class in edu.stanford.nlp.ling
This indicates the sentence should end at this token.
CoreAnnotations.ForcedSentenceEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceEndAnnotation
 
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.ForcedSentenceUntilEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ForcedSentenceUntilEndAnnotation
 
CoreAnnotations.FreqAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.FreqAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.FreqAnnotation
 
CoreAnnotations.GazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazAnnotation
 
CoreAnnotations.GazetteerAnnotation - Class in edu.stanford.nlp.ling
The standard key for the gazetteer information
CoreAnnotations.GazetteerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GazetteerAnnotation
 
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.GenericTokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GenericTokensAnnotation
 
CoreAnnotations.GeniaAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GeniaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GeniaAnnotation
 
CoreAnnotations.GoldAnswerAnnotation - Class in edu.stanford.nlp.ling
The standard key for gold answer which is a String
CoreAnnotations.GoldAnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GoldAnswerAnnotation
 
CoreAnnotations.GovernorAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.GovernorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GovernorAnnotation
 
CoreAnnotations.GrandparentAnnotation - Class in edu.stanford.nlp.ling
specifies the base state of the parent of this node in the parse tree
CoreAnnotations.GrandparentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.GrandparentAnnotation
 
CoreAnnotations.HaveAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.HaveAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HaveAnnotation
 
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.HeadWordStringAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HeadWordStringAnnotation
 
CoreAnnotations.HeightAnnotation - Class in edu.stanford.nlp.ling
Used in srl.unsup
CoreAnnotations.HeightAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.HeightAnnotation
 
CoreAnnotations.IDAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.IDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IDAnnotation
 
CoreAnnotations.IDFAnnotation - Class in edu.stanford.nlp.ling
Inverse document frequency of the word this label represents
CoreAnnotations.IDFAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IDFAnnotation
 
CoreAnnotations.INAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.INAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.INAnnotation
 
CoreAnnotations.IndexAnnotation - Class in edu.stanford.nlp.ling
This indexes a token number inside a sentence.
CoreAnnotations.IndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IndexAnnotation
 
CoreAnnotations.InterpretationAnnotation - Class in edu.stanford.nlp.ling
The standard key for the semantic interpretation
CoreAnnotations.InterpretationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.InterpretationAnnotation
 
CoreAnnotations.IsDateRangeAnnotation - Class in edu.stanford.nlp.ling
it really seems like this should have a different name or else be a boolean
CoreAnnotations.IsDateRangeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsDateRangeAnnotation
 
CoreAnnotations.IsURLAnnotation - Class in edu.stanford.nlp.ling
it really seems like this should have a different name or else be a boolean
CoreAnnotations.IsURLAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.IsURLAnnotation
 
CoreAnnotations.LabelAnnotation - Class in edu.stanford.nlp.ling
Used in wsd.supwsd package
CoreAnnotations.LabelAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LabelAnnotation
 
CoreAnnotations.LabelWeightAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LabelWeightAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LabelWeightAnnotation
 
CoreAnnotations.LastGazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LastGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastGazAnnotation
 
CoreAnnotations.LastTaggedAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LastTaggedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LastTaggedAnnotation
 
CoreAnnotations.LBeginAnnotation - Class in edu.stanford.nlp.ling
Used in Gale2007ChineseSegmenter
CoreAnnotations.LBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LBeginAnnotation
 
CoreAnnotations.LeftChildrenNodeAnnotation - Class in edu.stanford.nlp.ling
used in incremental DAG parser
CoreAnnotations.LeftChildrenNodeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LeftChildrenNodeAnnotation
 
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.LeftTermAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LeftTermAnnotation
 
CoreAnnotations.LemmaAnnotation - Class in edu.stanford.nlp.ling
The CoreMap key for getting the lemma (morphological stem) of a token.
CoreAnnotations.LemmaAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LemmaAnnotation
 
CoreAnnotations.LEndAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LEndAnnotation
 
CoreAnnotations.LengthAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LengthAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LengthAnnotation
 
CoreAnnotations.LineNumberAnnotation - Class in edu.stanford.nlp.ling
Line number for a sentence in a document delimited by newlines instead of punctuation.
CoreAnnotations.LineNumberAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LineNumberAnnotation
 
CoreAnnotations.LinkAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LinkAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LinkAnnotation
 
CoreAnnotations.LMiddleAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.LMiddleAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LMiddleAnnotation
 
CoreAnnotations.LocationAnnotation - Class in edu.stanford.nlp.ling
Reference location for the document
CoreAnnotations.LocationAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.LocationAnnotation
 
CoreAnnotations.MaleGazAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MaleGazAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MaleGazAnnotation
 
CoreAnnotations.MarkingAnnotation - Class in edu.stanford.nlp.ling
Another key used for propbank - to signify core arg nodes or predicate nodes
CoreAnnotations.MarkingAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MarkingAnnotation
 
CoreAnnotations.MentionsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MentionsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MentionsAnnotation
 
CoreAnnotations.MentionTokenAnnotation - Class in edu.stanford.nlp.ling
used in dcoref.
CoreAnnotations.MentionTokenAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MentionTokenAnnotation
 
CoreAnnotations.MonthAnnotation - Class in edu.stanford.nlp.ling
Used in nlp.coref
CoreAnnotations.MonthAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MonthAnnotation
 
CoreAnnotations.MorphoCaseAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MorphoCaseAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoCaseAnnotation
 
CoreAnnotations.MorphoGenAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MorphoGenAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoGenAnnotation
 
CoreAnnotations.MorphoNumAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MorphoNumAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoNumAnnotation
 
CoreAnnotations.MorphoPersAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.MorphoPersAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.MorphoPersAnnotation
 
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.NamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation
 
CoreAnnotations.NeighborsAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NeighborsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NeighborsAnnotation
 
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.NERIDAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NERIDAnnotation
 
CoreAnnotations.NormalizedNamedEntityTagAnnotation - Class in edu.stanford.nlp.ling
The key for the normalized value of numeric named entities.
CoreAnnotations.NormalizedNamedEntityTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NormalizedNamedEntityTagAnnotation
 
CoreAnnotations.NotAnnotation - Class in edu.stanford.nlp.ling
annotation stolen from the lex parser
CoreAnnotations.NotAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NotAnnotation
 
CoreAnnotations.NumericCompositeObjectAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericCompositeObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeObjectAnnotation
 
CoreAnnotations.NumericCompositeTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericCompositeTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeTypeAnnotation
 
CoreAnnotations.NumericCompositeValueAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericCompositeValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericCompositeValueAnnotation
 
CoreAnnotations.NumericObjectAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericObjectAnnotation
 
CoreAnnotations.NumericTypeAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericTypeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericTypeAnnotation
 
CoreAnnotations.NumericValueAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumericValueAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumericValueAnnotation
 
CoreAnnotations.NumerizedTokensAnnotation - Class in edu.stanford.nlp.ling
 
CoreAnnotations.NumerizedTokensAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumerizedTokensAnnotation
 
CoreAnnotations.NumTxtSentencesAnnotation - Class in edu.stanford.nlp.ling
Used by RTE to track number of text sentences, to determine when hyp sentences begin.
CoreAnnotations.NumTxtSentencesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.NumTxtSentencesAnnotation
 
CoreAnnotations.OriginalAnswerAnnotation - Class in edu.stanford.nlp.ling
Seems like this could be consolidated with something else...
CoreAnnotations.OriginalAnswerAn