Index (Stanford JavaNLP API)

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

A

AbbrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbbrAnnotation
abbreviation - Variable in enum edu.stanford.nlp.trees.GrammaticalStructureConversionUtils.ConverterOptions
AbbreviationMap(boolean) - Constructor for class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer.AbbreviationMap: Creates a new instance of AbreviationMap with some know abbreviations
AbgeneAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbgeneAnnotation
about() - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
aboveLineSkip - Static variable in class edu.stanford.nlp.parser.ui.TreeJPanel
absoluteDifference(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns |c1 - c2|.
absolutelyDiscountedDistribution(Counter<E>, int, double) - Static method in class edu.stanford.nlp.stats.Distribution
AbstractCachingDiffFloatFunction - Class in edu.stanford.nlp.optimization
AbstractCachingDiffFloatFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractCachingDiffFloatFunction
AbstractCachingDiffFunction - Class in edu.stanford.nlp.optimization: A differentiable function that caches the last evaluation of its value and derivative.
AbstractCachingDiffFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractCachingDiffFunction
AbstractCollinsHeadFinder - Class in edu.stanford.nlp.trees: A base class for a HeadFinder similar to the one described in Michael Collins' 1999 thesis.
AbstractCollinsHeadFinder(TreebankLanguagePack, String...) - Constructor for class edu.stanford.nlp.trees.AbstractCollinsHeadFinder: Construct a HeadFinder.
AbstractCoreLabel - Interface in edu.stanford.nlp.ling
AbstractCounter<E> - Class in edu.stanford.nlp.stats: Default implementations of all the convenience methods provided by Counter.
AbstractCounter() - Constructor for class edu.stanford.nlp.stats.AbstractCounter
AbstractDependencyGrammar - Class in edu.stanford.nlp.parser.lexparser: An abstract base class for dependency grammars.
AbstractDependencyGrammar(TreebankLanguagePack, TagProjection, boolean, boolean, boolean, Options, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
AbstractEval - Class in edu.stanford.nlp.parser.metrics: A framework for Set-based precision/recall/F1 evaluation.
AbstractEval() - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
AbstractEval(boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
AbstractEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
AbstractEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval
AbstractEval.CatErrorEval - Class in edu.stanford.nlp.parser.metrics: This class counts which categories are over and underproposed in trees.
AbstractEval.RuleErrorEval - Class in edu.stanford.nlp.parser.metrics
AbstractEval.ScoreEval - Class in edu.stanford.nlp.parser.metrics: This isn't really a kind of AbstractEval: we're sort of cheating here.
AbstractEvaluate - Class in edu.stanford.nlp.sentiment
AbstractEvaluate(RNNOptions) - Constructor for class edu.stanford.nlp.sentiment.AbstractEvaluate
AbstractEvaluator() - Constructor for class edu.stanford.nlp.coref.statistical.EvalUtils.AbstractEvaluator
AbstractIterator<E> - Class in edu.stanford.nlp.util: Iterator with remove() defined to throw an UnsupportedOperationException.
AbstractIterator() - Constructor for class edu.stanford.nlp.util.AbstractIterator
AbstractLinearClassifierFactory<L,F> - Class in edu.stanford.nlp.classify: Shared methods for training a LinearClassifier.
AbstractLinearClassifierFactory() - Constructor for class edu.stanford.nlp.classify.AbstractLinearClassifierFactory
AbstractListProcessor<IN,OUT,L,F> - Class in edu.stanford.nlp.process: Class AbstractListProcessor
AbstractListProcessor() - Constructor for class edu.stanford.nlp.process.AbstractListProcessor
AbstractMatchCostFunction() - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.MatchCostFunction.AbstractMatchCostFunction
AbstractSequenceClassifier<IN extends CoreMap> - Class in edu.stanford.nlp.ie: This class provides common functionality for (probabilistic) sequence models.
AbstractSequenceClassifier(Properties) - Constructor for class edu.stanford.nlp.ie.AbstractSequenceClassifier: Construct a SeqClassifierFlags object based on the passed in properties, and then call the other constructor.
AbstractSequenceClassifier(SeqClassifierFlags) - Constructor for class edu.stanford.nlp.ie.AbstractSequenceClassifier: Initialize the featureFactory and other variables based on the passed in flags.
AbstractStochasticCachingDiffFunction - Class in edu.stanford.nlp.optimization
AbstractStochasticCachingDiffFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffFunction
AbstractStochasticCachingDiffFunction.SamplingMethod - Enum in edu.stanford.nlp.optimization
AbstractStochasticCachingDiffUpdateFunction - Class in edu.stanford.nlp.optimization: Function for stochastic calculations that does update in place (instead of maintaining and returning the derivative).
AbstractStochasticCachingDiffUpdateFunction() - Constructor for class edu.stanford.nlp.optimization.AbstractStochasticCachingDiffUpdateFunction
AbstractStringAnnotationPattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.AbstractStringAnnotationPattern
AbstractTextAnnotationCreator - Class in edu.stanford.nlp.pipeline: Creates a stub implementation for creating annotation from various input sources using String as the main input source
AbstractTextAnnotationCreator() - Constructor for class edu.stanford.nlp.pipeline.AbstractTextAnnotationCreator
AbstractToken - Interface in edu.stanford.nlp.ling: An abstract token.
AbstractTokenizer<T> - Class in edu.stanford.nlp.process: An abstract tokenizer.
AbstractTokenizer() - Constructor for class edu.stanford.nlp.process.AbstractTokenizer
AbstractTreebankLanguagePack - Class in edu.stanford.nlp.trees: This provides an implementation of parts of the TreebankLanguagePack API to reduce the load on fresh implementations.
AbstractTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Gives a handle to the TreebankLanguagePack.
AbstractTreebankLanguagePack(char) - Constructor for class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Gives a handle to the TreebankLanguagePack.
AbstractTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser: An abstract class providing a common method base from which to complete a TreebankLangParserParams implementing class.
AbstractTreebankParserParams(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams: Stores the passed-in TreebankLanguagePack and sets up charset encodings.
AbstractTreebankParserParams.AnnotatePunctuationFunction - Class in edu.stanford.nlp.parser.lexparser: Annotation function for mapping punctuation to PTB-style equivalence classes.
AbstractTreebankParserParams.RemoveGFSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser: The job of this class is to remove subcategorizations from tag and category nodes, so as to put a tree in a suitable state for evaluation.
AbstractTreebankParserParams.SubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser: The job of this class is to remove subcategorizations from tag and category nodes, so as to put a tree in a suitable state for evaluation.
AbstractTreeExtractor<T> - Class in edu.stanford.nlp.parser.lexparser: An abstract superclass for parser classes that extract counts from Trees.
AbstractTreeExtractor(Options) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreeExtractor
AbstractUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
AbstractUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractUnknownWordModelTrainer
AbstrAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AbstrAnnotation
accept(File) - Method in class edu.stanford.nlp.io.ExtensionFileFilter: Checks whether a file satisfies the selection filter.
ACCEPT - Static variable in interface edu.stanford.nlp.io.Lexer
accept(File) - Method in class edu.stanford.nlp.io.NumberRangeFileFilter: Checks whether a file satisfies the number range selection filter.
accept(File) - Method in class edu.stanford.nlp.io.NumberRangesFileFilter: Checks whether a file satisfies the number range selection filter.
accept(String) - Method in class edu.stanford.nlp.io.NumberRangesFileFilter: Checks whether a String satisfies the number range selection filter.
accept(File) - Method in class edu.stanford.nlp.io.RegExFileFilter: Checks whether a file satisfies the selection filter.
acceptFilter() - Static method in class edu.stanford.nlp.util.Filters: The acceptFilter accepts everything.
accepting - Variable in class edu.stanford.nlp.fsm.DFSAState
accuracy(Iterator<RVFDatum<L, F>>) - Method in class edu.stanford.nlp.classify.NaiveBayesClassifier
accuracy() - Method in class edu.stanford.nlp.classify.PRCurve
Accuracy() - Constructor for class edu.stanford.nlp.ie.KBPRelationExtractor.Accuracy
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 <charseq> 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: Base class for all ACE annotation elements.
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 <entity> 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 <entity_mention> 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.coref.data.Document
acronymCache - Variable in class edu.stanford.nlp.dcoref.Document
AcronymMatcher - Class in edu.stanford.nlp.util: A simple class with a variety of acronym matching utilities.
Action(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
actionPerformed(ActionEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.InputPanel
actionPerformed(ActionEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI
actionPerformed(ActionEvent) - Method in class edu.stanford.nlp.trees.tregex.gui.TregexGUI.TransferActionListener
activate(MorphoFeatureSpecification.MorphoFeatureType) - Method in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
active - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
activeFeatures - Variable in class edu.stanford.nlp.international.morph.MorphoFeatureSpecification
adaAlpha - Variable in class edu.stanford.nlp.parser.nndep.Config: Initial global learning rate for AdaGrad training
adaDeltaRho - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
adaEps - Variable in class edu.stanford.nlp.parser.nndep.Config: An epsilon value added to the denominator of the AdaGrad expression for numerical stability
adaGrad(double, double) - Static method in class edu.stanford.nlp.coref.statistical.SimpleLinearClassifier
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(RVFDatum<L, F>, float) - Method in class edu.stanford.nlp.classify.WeightedRVFDataset: Add a datum, with a given weight.
add(Datum<L, F>) - Method in class edu.stanford.nlp.classify.WeightedRVFDataset
add(Datum<L, F>, String, String) - Method in class edu.stanford.nlp.classify.WeightedRVFDataset
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() - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector: End the current feature, and add with suffixes.
add(String) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector: Add a feature (+ suffix).
add(K, NodePattern) - Method in class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern
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(Map<String, DataInstance>, boolean) - Method in class edu.stanford.nlp.patterns.InvertedIndexByTokens
add(List<CoreLabel>, String, boolean) - Method in class edu.stanford.nlp.patterns.InvertedIndexByTokens
add(Map<String, DataInstance>, boolean) - Method in class edu.stanford.nlp.patterns.SentenceIndex: addProcessedText is true when inserting sentences for the first time
add(List<CoreLabel>, String, boolean) - Method in class edu.stanford.nlp.patterns.SentenceIndex
add(List<IN>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
add(TwoDimensionalCounter<T1, T2>, TwoDimensionalCounter<T1, T2>) - Static method in class edu.stanford.nlp.stats.Counters: For all keys (u,v) in arg1 and arg2, sets return[u,v] to be summation of both.
add(Counter<E>, Collection<E>) - Static method in class edu.stanford.nlp.stats.Counters
add(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters
add(Counter<E>, double) - Static method in class edu.stanford.nlp.stats.Counters: increments every key in the counter by value
add(FeatureKey) - Method in class edu.stanford.nlp.tagger.maxent.TaggerExperiments: Adds a FeatureKey to the set of known FeatureKeys.
add(int, History, int) - Method in class edu.stanford.nlp.tagger.maxent.TemplateHash
add(String) - Method in class edu.stanford.nlp.tagger.maxent.TTags
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.JollyDayHolidays.JollyHoliday
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Duration
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.DurationRange
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.DurationWithFields
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.DurationWithMillis
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.GroundedTime
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.InexactTime
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.OrdinalTime
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Range
add(SUTime.Duration, int) - Method in class edu.stanford.nlp.time.SUTime.Range
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.RefTime
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.RelativeTime
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.SimpleTime
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.Time
add(SUTime.Duration) - Method in class edu.stanford.nlp.time.SUTime.TimeWithRange
add(int, Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
add(Tree) - Method in class edu.stanford.nlp.trees.MemoryTreebank
add(E) - Method in class edu.stanford.nlp.util.ArrayHeap: Adds an object to the heap.
add(E) - Method in class edu.stanford.nlp.util.ArraySet: Adds element to set.
add(T) - Method in class edu.stanford.nlp.util.Beam
add(E) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Adds an object to the queue with the minimum priority (Double.NEGATIVE_INFINITY).
add(E, double) - Method in class edu.stanford.nlp.util.BinaryHeapPriorityQueue: Convenience method for if you want to pretend relaxPriority doesn't exist, or if you really want to use the return conditions of add().
add(K, V) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Adds the value to the Collection mapped to by the key.
add(E) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
add(U, U) - Method in class edu.stanford.nlp.util.ConfusionMatrix: Increments the entry for this guess and gold by 1.
add(U, U, int) - Method in class edu.stanford.nlp.util.ConfusionMatrix: Increments the entry for this guess and gold by the given increment amount.
add(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(U, V) - Method in class edu.stanford.nlp.util.MapList
add(U, Collection<V>) - Method in class edu.stanford.nlp.util.MapList: Using the iterator order of values in the value, adds the individual elements into the list under the given key.
add(E) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet: Adds the element if the set is not already full.
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(Iterable<? extends Datum<L, F>>) - Method in class edu.stanford.nlp.classify.RVFDataset
addAll(Collection<? extends String>) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.PhraseStringCollection
addAll(List<Expression>) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.ListExpression
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.objectbank.ObjectBank: Unsupported Operation.
addAll(Collection<?>) - Method in class edu.stanford.nlp.objectbank.ReaderIteratorFactory: Adds all Objects in Collection c to the underlying Collection of input sources.
addAll(List<TaggedWord>) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Not yet implemented.
addAll(List<TaggedWord>, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Not yet implemented.
addAll(Collection<? extends List<IN>>) - Method in class edu.stanford.nlp.sequences.ObjectBankWrapper
addAll(Counter<E>) - Method in class edu.stanford.nlp.stats.AbstractCounter: Adds the counts in the given Counter to the counts in this Counter.
addAll(Counter<E>) - Method in class edu.stanford.nlp.stats.ClassicCounter: Adds the counts in the given Counter to the counts in this Counter.
addAll(Counter<E>) - Method in interface edu.stanford.nlp.stats.Counter: Adds the counts in the given Counter to the counts in this Counter.
addAll(IntCounter<E>) - Method in class edu.stanford.nlp.stats.IntCounter: Adds the counts in the given Counter to the counts in this Counter.
addAll(TwoDimensionalCounterInterface<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
addAll(K1, Counter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalCounter
addAll(TwoDimensionalIntCounter<K1, K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
addAll(K1, IntCounter<K2>) - Method in class edu.stanford.nlp.stats.TwoDimensionalIntCounter
addAll(int, Collection<? extends Tree>) - Method in class edu.stanford.nlp.trees.MemoryTreebank
addAll(Collection<T>, Iterable<? extends T>) - Static method in class edu.stanford.nlp.util.CollectionUtils: Add all the items from an iterable to a collection.
addAll(K, Collection<V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Adds the values to the Collection mapped to by the key.
addAll(Map<K, V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Adds all of the mappings in m to this CollectionValuedMap.
addAll(CollectionValuedMap<K, V>) - Method in class edu.stanford.nlp.util.CollectionValuedMap
addAll(Collection<? extends E>) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
addAll(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(Collection<? extends E>) - Method in class edu.stanford.nlp.util.MaxSizeConcurrentHashSet: Add all the items.
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
addAllAppositions(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 appositions = 54;
addAllArg(Iterable<? extends CoreNLPProtos.Entity>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addAllArgName(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated string argName = 6;
addAllBelongToLists(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 belongToLists = 58;
addAllCharacter(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
addAllCharacter(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
addAllChild(Iterable<? extends CoreNLPProtos.ParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addAllCorefChain(Iterable<? extends CoreNLPProtos.CorefChain>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addAllCorefMentionIndex(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: mention index info
addAllCorefMentionToEntityMentionMappings(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 corefMentionToEntityMentionMappings = 17;
addAllDependents(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string dependents = 52;
addAllEdge(Iterable<? extends CoreNLPProtos.DependencyGraph.Edge>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addAllEntailedClause(Iterable<? extends CoreNLPProtos.SentenceFragment>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
addAllEntailedSentence(Iterable<? extends CoreNLPProtos.SentenceFragment>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
addAllEntity(Iterable<? extends CoreNLPProtos.Entity>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addAllEntityMentionToCorefMentionMappings(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 entityMentionToCorefMentionMappings = 18;
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
addAllKBestParseTrees(Iterable<? extends CoreNLPProtos.ParseTree>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addAllKbpTriple(Iterable<? extends CoreNLPProtos.RelationTriple>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
addAllKey(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder: repeated uint32 key = 1;
addAllKey(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string key = 1;
addAllKeys(TwoDimensionalMap<? extends K1, ? extends K2, ?>) - Method in class edu.stanford.nlp.util.TwoDimensionalSet: Adds all the keys in the given TwoDimensionalMap.
addAllListMembers(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 listMembers = 57;
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
addAllMention(Iterable<? extends CoreNLPProtos.CorefChain.CorefMention>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addAllMentions(Iterable<? extends CoreNLPProtos.NERMention>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
addAllMentions(Iterable<? extends CoreNLPProtos.NERMention>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addAllMentions(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder: repeated int32 mentions = 2;
addAllMentionsForCoref(Iterable<? extends CoreNLPProtos.Mention>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
addAllMentionsForCoref(Iterable<? extends CoreNLPProtos.Mention>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addAllNerLabelProbs(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: listing of probs
addAllNode(Iterable<? extends CoreNLPProtos.DependencyGraph.Node>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addAllObjectTokens(Iterable<? extends CoreNLPProtos.TokenLocation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
addAllOpenieTriple(Iterable<? extends CoreNLPProtos.RelationTriple>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The OpenIE triples in the sentence
addAllOriginalSpan(Iterable<? extends CoreNLPProtos.IndexedWord>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addAllPredicateNominatives(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 predicateNominatives = 55;
addAllPreprocessedTerms(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string preprocessedTerms = 53;
addAllQuote(Iterable<? extends CoreNLPProtos.Quote>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addAllQuotes(Iterable<? extends CoreNLPProtos.Quote>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addAllRelation(Iterable<? extends CoreNLPProtos.Relation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addAllRelationTokens(Iterable<? extends CoreNLPProtos.TokenLocation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the relation of the triple
addAllRelativePronouns(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 relativePronouns = 56;
addAllRoot(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated uint32 root = 3 [packed = true];
addAllSections(Iterable<? extends CoreNLPProtos.Section>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addAllSentence(Iterable<? extends CoreNLPProtos.Sentence>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addAllSentenceIndexes(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated uint32 sentenceIndexes = 4;
addAllSentencelessToken(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: A peculiar field, for the corner case when a Document is serialized without any sentences.
addAllSentenceWords(Iterable<? extends CoreNLPProtos.IndexedWord>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addAllSubjectTokens(Iterable<? extends CoreNLPProtos.TokenLocation>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the subject of the triple
addAllToken(Iterable<? extends CoreNLPProtos.Token>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addAllTokenIndex(Iterable<? extends Integer>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder: repeated uint32 tokenIndex = 1;
addAllValue(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder: repeated string value = 2;
addAllValue(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string value = 2;
addAllWithSourcesAndIds(RVFDataset<L, F>) - Method in class edu.stanford.nlp.classify.RVFDataset
addAllXmlContext(Iterable<String>) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Used by clean xml annotator
addAnnotator(Annotator) - Method in class edu.stanford.nlp.pipeline.AnnotationPipeline
addApposition(Mention) - Method in class edu.stanford.nlp.coref.data.Mention: Find apposition
addApposition(Mention) - Method in class edu.stanford.nlp.dcoref.Mention: Find apposition
addAppositions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 appositions = 54;
addArc(Object, Object, Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
addArc(TransducerGraph.Arc) - Method in class edu.stanford.nlp.fsm.TransducerGraph
addArc(int, int, String) - Method in class edu.stanford.nlp.parser.nndep.Configuration
addArg(AceEntityMention, String) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEventMention
addArg(ExtractionObject, String, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
addArg(ExtractionObject) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
addArg(CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArg(int, CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArg(CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArg(int, CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArgBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArgBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated .edu.stanford.nlp.pipeline.Entity arg = 7;
addArgName(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated string argName = 6;
addArgNameBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder: repeated string argName = 6;
addArgs(List<ExtractionObject>, List<String>, boolean) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
addBelongsToList(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
addBelongsToList(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
addBelongToLists(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 belongToLists = 58;
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
addCharacter(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacter(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacter(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacter(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacter(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
addCharacter(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
addCharacter(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
addCharacter(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
addCharacterBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacterBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 10;
addCharacterBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
addCharacterBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token character = 19;
addChild(CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChild(int, CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChild(CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChild(int, CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
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(int, Tree) - Method in class edu.stanford.nlp.trees.TreeGraphNode: Adds a child in the ith location.
addChild(LogRecordHandler) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
addChildBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChildBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree child = 1;
addChildTree(Redwood.RecordHandlerTree) - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
addComment(String) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Store a comment line with this semantic graph.
addConstraint(ParserConstraint) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
addCopyNodes - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
addCorefChain(CoreNLPProtos.CorefChain) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChain(int, CoreNLPProtos.CorefChain) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChain(CoreNLPProtos.CorefChain.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChain(int, CoreNLPProtos.CorefChain.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChainBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefChainBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain corefChain = 3;
addCorefMentionIndex(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: mention index info
addCorefMentionToEntityMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 corefMentionToEntityMentionMappings = 17;
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
addDependents(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string dependents = 52;
addDependentsBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string dependents = 52;
addDistsimFeatures(List<String>, CoreLabel, String) - Method in class edu.stanford.nlp.parser.shiftreduce.DistsimFeatureFactory
addEdge(Edge) - Method in class edu.stanford.nlp.parser.lexparser.HookChart
addEdge(LatticeEdge) - Method in class edu.stanford.nlp.parser.lexparser.Lattice
addEdge(CoreNLPProtos.DependencyGraph.Edge) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(int, CoreNLPProtos.DependencyGraph.Edge) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(CoreNLPProtos.DependencyGraph.Edge.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(int, CoreNLPProtos.DependencyGraph.Edge.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdge(IndexedWord, IndexedWord, GrammaticalRelation, double, boolean) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
addEdge(SemanticGraphEdge) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
addEdgeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
addEdgeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Edge edge = 2;
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
addEnhancedSentences(Annotation, DependencyParser) - Static method in class edu.stanford.nlp.quoteattribution.QuoteAttributionUtils
addEnhancements(List<TypedDependency>, EnhancementOptions) - Method in class edu.stanford.nlp.trees.GrammaticalStructure: Destructively applies different enhancements to the dependency graph.
addEnhancements(List<TypedDependency>, EnhancementOptions) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
addEntailedClause(CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
addEntailedClause(int, CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
addEntailedClause(CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
addEntailedClause(int, CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
addEntailedClauseBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
addEntailedClauseBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed clauses, by natural logic
addEntailedSentence(CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
addEntailedSentence(int, CoreNLPProtos.SentenceFragment) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
addEntailedSentence(CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
addEntailedSentence(int, CoreNLPProtos.SentenceFragment.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
addEntailedSentenceBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
addEntailedSentenceBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The entailed sentences, by natural logic
addEntity(AceEntity) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
addEntity(CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntity(int, CoreNLPProtos.Entity) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntity(CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntity(int, CoreNLPProtos.Entity.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntityBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
addEntityBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Entity entity = 52;
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
addEntityMentionToCorefMentionMappings(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated int32 entityMentionToCorefMentionMappings = 18;
addEvent(AceEvent) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
addEventMention(AceEventMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
addEventMention(AceEventMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention
addEventMention(CoreMap, EventMention) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
addEventMentions(CoreMap, Collection<EventMention>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
addExample(List<Integer>, List<Integer>) - Method in class edu.stanford.nlp.parser.nndep.Dataset
addExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Document, List<Type>>, Type) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
addExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Sentence, List<Type>>, Type) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
addExtension(GeneratedMessage.GeneratedExtension<CoreNLPProtos.Token, List<Type>>, Type) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
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.
addFeature(String, double) - Method in class edu.stanford.nlp.patterns.CandidatePhrase
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
addFeatures(Collection<String>) - Method in class edu.stanford.nlp.patterns.CandidatePhrase
addFeatures(SemanticGraph, Tree, boolean, boolean) - Method in class edu.stanford.nlp.trees.ud.UniversalDependenciesFeatureAnnotator
addFileFolder(EnumMap<TregexGUI.FilterType, String>, File[]) - Method in class edu.stanford.nlp.trees.tregex.gui.FileTreeModel: Forks off a new thread to load your files based on the filters you set in the interface
addFilter(Predicate<T>) - Method in class edu.stanford.nlp.util.Filters.ConjFilter
addFilter(Predicate<T>) - Method in class edu.stanford.nlp.util.Filters.DisjFilter
addFN(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats: Adds the given number to the count of false negatives.
addForce(Partial, Period, int) - Static method in class edu.stanford.nlp.time.JodaTimeUtils
addForm(String) - Method in class edu.stanford.nlp.ling.tokensregex.PhraseTable.Phrase
addFP(int) - Method in class edu.stanford.nlp.stats.PrecisionRecallStats: Adds the given number to the count of false positives.
addGoldMentions(List<CoreMap>, List<Set<IntPair>>, List<List<Mention>>, List<List<Mention>>) - Static method in class edu.stanford.nlp.coref.md.CorefMentionFinder
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.
addHook(Hook) - Method in class edu.stanford.nlp.parser.lexparser.HookChart
addIncompatible(Mention, Mention) - Method in class edu.stanford.nlp.coref.data.Document
addIncompatible(Mention, Mention) - Method in class edu.stanford.nlp.dcoref.Document
addIndvWordsFromPhrasesExceptLastAsNeg - Variable in class edu.stanford.nlp.patterns.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 the first array a by b.
addInPlace(float[], double) - Static method in class edu.stanford.nlp.math.ArrayMath: Increases the values in this array by b.
addInPlace(double[][], double[][]) - Static method in class edu.stanford.nlp.math.ArrayMath: Add the two 2d arrays and write the answer in place of m1.
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
addKBestParseTrees(CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTrees(int, CoreNLPProtos.ParseTree) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTrees(CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTrees(int, CoreNLPProtos.ParseTree.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTreesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKBestParseTreesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.ParseTree kBestParseTrees = 34;
addKbpTriple(CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
addKbpTriple(int, CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
addKbpTriple(CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
addKbpTriple(int, CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
addKbpTripleBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
addKbpTripleBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The KBP triples in this sentence
addKey(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder: repeated uint32 key = 1;
addKey(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string key = 1;
addKey(K) - Method in class edu.stanford.nlp.util.CollectionValuedMap: Just add the key (empty collection, but key is in the keySet).
addKey(K1) - Method in class edu.stanford.nlp.util.TwoDimensionalCollectionValuedMap: yes, this is a weird method, but i need it.
addKeyBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string key = 1;
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.
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.coref.data.Mention
addListMember(Mention) - Method in class edu.stanford.nlp.dcoref.Mention
addListMembers(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 listMembers = 57;
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.coref.data.SpeakerInfo
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
addMention(CoreNLPProtos.CorefChain.CorefMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMention(int, CoreNLPProtos.CorefChain.CorefMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMention(CoreNLPProtos.CorefChain.CorefMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMention(int, CoreNLPProtos.CorefChain.CorefMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMentionBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMentionBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder: repeated .edu.stanford.nlp.pipeline.CorefChain.CorefMention mention = 2;
addMentions(CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
addMentions(int, CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
addMentions(CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
addMentions(int, CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
addMentions(CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(int, CoreNLPProtos.NERMention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(int, CoreNLPProtos.NERMention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentions(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder: repeated int32 mentions = 2;
addMentionsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
addMentionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: This field is for entity mentions across the document.
addMentionsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.NERMention mentions = 55;
addMentionsForCoref(CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
addMentionsForCoref(int, CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
addMentionsForCoref(CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
addMentionsForCoref(int, CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
addMentionsForCoref(CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCoref(int, CoreNLPProtos.Mention) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCoref(CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCoref(int, CoreNLPProtos.Mention.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCorefBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
addMentionsForCorefBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: coref mentions for entire document *
addMentionsForCorefBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMentionsForCorefBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Mention mentionsForCoref = 56;
addMissingAnnotations(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
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
addNamedEntityStrings(CoreMap, Set<String>, Set<IntPair>) - Static method in class edu.stanford.nlp.coref.md.CorefMentionFinder
addNerLabelProbs(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: listing of probs
addNerLabelProbsBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: listing of probs
addNode(CoreNLPProtos.DependencyGraph.Node) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNode(int, CoreNLPProtos.DependencyGraph.Node) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNode(CoreNLPProtos.DependencyGraph.Node.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNode(int, CoreNLPProtos.DependencyGraph.Node.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNodeBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNodeBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated .edu.stanford.nlp.pipeline.DependencyGraph.Node node = 1;
addNonNested(T) - Method in class edu.stanford.nlp.util.IntervalTree
addNonOverlapping(T) - Method in class edu.stanford.nlp.util.IntervalTree
addNormalizedQuantitiesToEntities(List<E>, CoreMap, CoreMap) - Static method in class edu.stanford.nlp.ie.ChineseQuantifiableEntityNormalizer: 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.
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 constituents 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.
addObjectTokens(CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
addObjectTokens(int, CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
addObjectTokens(CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
addObjectTokens(int, CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
addObjectTokensBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
addObjectTokensBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the object of the triple
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
addOpenieTriple(CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The OpenIE triples in the sentence
addOpenieTriple(int, CoreNLPProtos.RelationTriple) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The OpenIE triples in the sentence
addOpenieTriple(CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The OpenIE triples in the sentence
addOpenieTriple(int, CoreNLPProtos.RelationTriple.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The OpenIE triples in the sentence
addOpenieTripleBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The OpenIE triples in the sentence
addOpenieTripleBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: The OpenIE triples in the sentence
addOriginalSpan(CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpan(int, CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpan(CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpan(int, CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpanBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addOriginalSpanBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord originalSpan = 51;
addORRestriction(Class, String) - Method in class edu.stanford.nlp.patterns.surface.Token
addParent(EventMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.EventMention
addPatterns(Map<String, Map<Integer, Set<E>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
addPatterns(String, Map<Integer, Set<E>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachToken
addPatterns(Map<String, Map<Integer, Set<E>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
addPatterns(String, Map<Integer, Set<E>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenDB
addPatterns(String, Map<Integer, Set<E>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
addPatterns(Map<String, Map<Integer, Set<E>>>) - Method in class edu.stanford.nlp.patterns.surface.PatternsForEachTokenInMemory
addPatWithoutPOS - Static variable in class edu.stanford.nlp.patterns.surface.SurfacePatternFactory: 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.coref.data.Mention: Find predicate nominatives
addPredicateNominatives(Mention) - Method in class edu.stanford.nlp.dcoref.Mention: Find predicate nominatives
addPredicateNominatives(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 predicateNominatives = 55;
addPreprocessedTerms(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string preprocessedTerms = 53;
addPreprocessedTermsBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated string preprocessedTerms = 53;
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.
addQuote(CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuote(int, CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuote(CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuote(int, CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuoteBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuoteBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Quote quote = 6;
addQuotes(CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addQuotes(int, CoreNLPProtos.Quote) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addQuotes(CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addQuotes(int, CoreNLPProtos.Quote.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addQuotesBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
addQuotesBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated .edu.stanford.nlp.pipeline.Quote quotes = 6;
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
addReferent - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
addRelation(AceRelation) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
addRelation(CoreNLPProtos.Relation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelation(int, CoreNLPProtos.Relation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelation(CoreNLPProtos.Relation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelation(int, CoreNLPProtos.Relation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelationBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
addRelationBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Relation relation = 53;
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
addRelationTokens(CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the relation of the triple
addRelationTokens(int, CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the relation of the triple
addRelationTokens(CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the relation of the triple
addRelationTokens(int, CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the relation of the triple
addRelationTokensBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the relation of the triple
addRelationTokensBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the relation of the triple
addRelativePronoun(Mention) - Method in class edu.stanford.nlp.coref.data.Mention: Find relative pronouns
addRelativePronoun(Mention) - Method in class edu.stanford.nlp.dcoref.Mention: Find relative pronouns
addRelativePronouns(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated int32 relativePronouns = 56;
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
addRepeatedField(Descriptors.FieldDescriptor, Object) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
addRoot(Tree) - Method in class edu.stanford.nlp.parser.lexparser.TreeAnnotatorAndBinarizer: Changes the ROOT label, and adds a Lexicon.BOUNDARY daughter to it.
addRoot(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder: repeated uint32 root = 3 [packed = true];
addRoot(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
addRule(BinaryRule) - Method in class edu.stanford.nlp.parser.lexparser.BinaryGrammar
addRule(IntDependency, double) - Method in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar: Add this dependency with the given count to the grammar.
addRule(UnaryRule) - Method in class edu.stanford.nlp.parser.lexparser.UnaryGrammar
addRules(SequenceMatchRules.ExtractRule<I, O>...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
addRules(Collection<SequenceMatchRules.ExtractRule<I, O>>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.ListExtractRule
addScaled(Weight, float) - Method in class edu.stanford.nlp.parser.shiftreduce.Weight
addSections(CoreNLPProtos.Section) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSections(int, CoreNLPProtos.Section) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSections(CoreNLPProtos.Section.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSections(int, CoreNLPProtos.Section.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSectionsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSectionsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Section sections = 12;
addSeedWords(String, Collection<CandidatePhrase>) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
addSentence(List<String[]>) - Method in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.CoNLLDocument
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
addSentence(CoreNLPProtos.Sentence) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentence(int, CoreNLPProtos.Sentence) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentence(CoreNLPProtos.Sentence.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentence(int, CoreNLPProtos.Sentence.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentenceBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentenceBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: repeated .edu.stanford.nlp.pipeline.Sentence sentence = 2;
addSentenceData(String) - Method in class edu.stanford.nlp.pipeline.CoNLLUReader.CoNLLUSentence: Add sentence data for this sentence
addSentenceIndexes(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder: repeated uint32 sentenceIndexes = 4;
addSentencelessToken(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: A peculiar field, for the corner case when a Document is serialized without any sentences.
addSentencelessToken(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: A peculiar field, for the corner case when a Document is serialized without any sentences.
addSentencelessToken(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: A peculiar field, for the corner case when a Document is serialized without any sentences.
addSentencelessToken(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: A peculiar field, for the corner case when a Document is serialized without any sentences.
addSentencelessTokenBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: A peculiar field, for the corner case when a Document is serialized without any sentences.
addSentencelessTokenBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder: A peculiar field, for the corner case when a Document is serialized without any sentences.
addSentences(CoreMap, List<CoreMap>) - Static method in class edu.stanford.nlp.ie.machinereading.structure.AnnotationUtils
addSentenceWords(CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWords(int, CoreNLPProtos.IndexedWord) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWords(CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWords(int, CoreNLPProtos.IndexedWord.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWordsBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
addSentenceWordsBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder: repeated .edu.stanford.nlp.pipeline.IndexedWord sentenceWords = 50;
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
addSubjectTokens(CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the subject of the triple
addSubjectTokens(int, CoreNLPProtos.TokenLocation) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the subject of the triple
addSubjectTokens(CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the subject of the triple
addSubjectTokens(int, CoreNLPProtos.TokenLocation.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the subject of the triple
addSubjectTokensBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the subject of the triple
addSubjectTokensBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder: The tokens comprising the subject of the triple
addSupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.CompositePartialTime
addSupported(Period, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
addTag(String, Value) - Method in class edu.stanford.nlp.ling.tokensregex.types.Tags
addTag(String) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger: Will return the index of a tag, adding it if it doesn't already exist
addTagging(boolean, IntTaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseLexicon: Adds the tagging with count to the data structures in this Lexicon.
addTagging(boolean, IntTaggedWord, double) - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel: Adds the tagging with count to the data structures in this Lexicon.
addTagging(boolean, IntTaggedWord, double) - Method in interface edu.stanford.nlp.parser.lexparser.UnknownWordModel: Adds the tagging with count to the data structures in this Lexicon.
addTemporal(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
addTemporalExpr(TimeExpression) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
addTemporalFunc(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
addToIndex(E) - Method in class edu.stanford.nlp.util.concurrent.ConcurrentHashIndex
addToIndex(E) - Method in class edu.stanford.nlp.util.DeltaIndex
addToIndex(E) - Method in class edu.stanford.nlp.util.HashIndex
addToIndex(E) - Method in interface edu.stanford.nlp.util.Index: Takes an Object and returns the integer index of the Object.
addToIndexTemporal(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
addToIndexTemporalExpr(TimeExpression) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
addToIndexTemporalFunc(SUTime.Temporal) - Method in class edu.stanford.nlp.time.SUTime.TimeIndex
addToIndexUnsafe(E) - Method in class edu.stanford.nlp.util.HashIndex: Add the given item to the index, but without taking any locks.
addToken(AceToken) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceDocument
addToken(CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(int, CoreNLPProtos.Token) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addToken(int, CoreNLPProtos.Token.Builder) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addTokenBuilder() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addTokenBuilder(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder: repeated .edu.stanford.nlp.pipeline.Token token = 1;
addTokenIndex(int) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder: repeated uint32 tokenIndex = 1;
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
addValue(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder: repeated string value = 2;
addValue(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string value = 2;
addValueBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder: repeated string value = 2;
addValueBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder: repeated string value = 2;
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<CandidatePhrase>) - Method in class edu.stanford.nlp.patterns.ConstantsAndVariables
addXmlContext(String) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Used by clean xml annotator
addXmlContextBytes(ByteString) - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder: Used by clean xml annotator
addXSubj - Variable in class edu.stanford.nlp.trees.ud.EnhancementOptions
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 "adjetive modifier" grammatical relation.
ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "adjective modifier" (amod) grammatical relation.
ADJECTIVAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "adjectival modifier" grammatical relation.
AdjoinToFootNode - Class in edu.stanford.nlp.trees.tregex.tsurgeon: Adjoin in a tree (like in TAG), but retain the target of adjunction as the foot of the auxiliary tree.
AdjoinToFootNode(AuxiliaryTree, TsurgeonPattern) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.AdjoinToFootNode
adjSuffix(String) - Static method in class edu.stanford.nlp.international.french.FrenchUnknownWordSignatures
adjustBias(List<List<IN>>, DoubleUnaryOperator, 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_CLAUSAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations
ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "adverbial clause modifier" grammatical relation.
ADV_CLAUSE_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: 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" grammatical relation.
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "adverbial modifier" (advmod) grammatical relation.
ADVERBIAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "adverbial modifier" 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
AffixDictionary - Class in edu.stanford.nlp.wordseg: Affixation information.
AffixDictionary(String) - Constructor for class edu.stanford.nlp.wordseg.AffixDictionary
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.
after() - Method in class edu.stanford.nlp.ling.IndexedWord
after() - Method in class edu.stanford.nlp.simple.Sentence: The whitespace after each token in the sentence.
after(int) - Method in class edu.stanford.nlp.simple.Sentence: The whitespace after this token in the sentence.
after() - Method in class edu.stanford.nlp.simple.Token
AFTER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
AfterAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AfterAnnotation
afterIsEmpty - Variable in class edu.stanford.nlp.international.german.process.GermanTokenizerPostProcessor: Check that after() is not null and the empty string
afterIsEmpty - Static variable in class edu.stanford.nlp.pipeline.NERCombinerAnnotator: Check that after() is not null and the empty string
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.
AGENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: 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.ConcatTextAggregator
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
aggregateToTokens - Variable in class edu.stanford.nlp.ling.tokensregex.Env: Whether we should merge and output CoreLabels or not.
algorithm(Properties) - Static method in class edu.stanford.nlp.coref.CorefProperties
algorithms() - Method in class edu.stanford.nlp.simple.Sentence: Return a class that can perform common algorithms on this sentence.
aliases - Variable in class edu.stanford.nlp.quoteattribution.Person
AliasMatch - Class in edu.stanford.nlp.coref.hybrid.sieve
AliasMatch() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.AliasMatch
AliasMatch - Class in edu.stanford.nlp.dcoref.sievepasses
AliasMatch() - Constructor for class edu.stanford.nlp.dcoref.sievepasses.AliasMatch
align(List<CoreMap>, List<CoreMap>) - Static method in class edu.stanford.nlp.ie.machinereading.ResultsPrinter: If the same set of sentences is contained in two lists, order the lists so that their sentences are in the same order (and return true).
alignDDAlpha - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
alignLeft(JComponent) - Static method in class edu.stanford.nlp.trees.tregex.gui.PreferencesPanel
Alignment - Class in edu.stanford.nlp.semgraph.semgrex: Represents an alignment between a text and a hypothesis as a map from hypothesis words to text words, along with a real-valued score and (optionally) a justification string.
Alignment(Map<IndexedWord, IndexedWord>, double, String) - Constructor for class edu.stanford.nlp.semgraph.semgrex.Alignment
alignmentDecodeThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
alignmentPruneThreshold - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
alignSentence(CoreMap) - Static method in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier: Copies one sentence replicating only information necessary for SUTime
allCandidatePhrases - Variable in class edu.stanford.nlp.patterns.ScorePatterns
allEdgesInSet(Iterable<IndexedWord>, SemanticGraph) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils: Given a set of vertices from the same graph, returns the set of all edges between these vertices.
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_EMBEDDED_SAME - Variable in class edu.stanford.nlp.pipeline.QuoteAnnotator
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.ConstantsAndVariables
allowedTagsInitials - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
allowReparsing - Variable in class edu.stanford.nlp.coref.md.CorefMentionFinder
allPatternsDir - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables: Cached file of all patterns for all tokens
allPositions - Variable in class edu.stanford.nlp.coref.data.Document
allPositions - Variable in class edu.stanford.nlp.dcoref.Document
allPredictedMentions - Variable in class edu.stanford.nlp.dcoref.Document: For all mentions in a document, map mentionID to mention.
allPronouns - Variable in class edu.stanford.nlp.coref.data.Dictionaries
allPronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
AllRelationMentionsAnnotation() - Constructor for class edu.stanford.nlp.ie.machinereading.structure.MachineReadingAnnotations.AllRelationMentionsAnnotation
allSpans(Function<Sentence, List<E>>, int) - Method in class edu.stanford.nlp.simple.SentenceAlgorithms: Return all the spans of a sentence.
allSpans(Function<Sentence, List<E>>) - Method in class edu.stanford.nlp.simple.SentenceAlgorithms
allSpans() - Method in class edu.stanford.nlp.simple.SentenceAlgorithms
allTokens() - Method in class edu.stanford.nlp.ie.util.RelationTriple: Returns all the tokens in the extraction, in the order subject then relation then object.
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
ALTERNATION_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.NaturalLogicRelation: ALTERNATION = 4;
ALTERNATIVEDEPENDENCIES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
AlternativeDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.AlternativeDependenciesAnnotation
altTag - Variable in class edu.stanford.nlp.international.morph.MorphoFeatures
altVal() - Method in class edu.stanford.nlp.time.Timex
ALTVALUE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.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
ANAPHORICITY_MODEL - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
anaphoricityClassifier(boolean) - Method in class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor.Builder
anaphoricityMFE() - Static method in class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor
anaphoricityModelPath(Properties) - Static method in class edu.stanford.nlp.coref.statistical.StatisticalCorefProperties
anaphoricityScores - Variable in class edu.stanford.nlp.coref.statistical.ClustererDataLoader.ClustererDoc
ancestor(int, Tree) - Method in class edu.stanford.nlp.trees.Tree: Return the ancestor tree node height nodes up from the current node.
ANCORA_OPTIONS - Static variable in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer
ancoraFactory() - Static method in class edu.stanford.nlp.international.spanish.process.SpanishTokenizer: Returns a tokenizer with Ancora tokenization.
AnCoraProcessor - Class in edu.stanford.nlp.international.spanish.pipeline: A tool which accepts raw AnCora-3.0 Spanish XML files and produces normalized / pre-processed PTB-style treebanks for use with CoreNLP tools.
AnCoraProcessor(List<File>, Properties) - Constructor for class edu.stanford.nlp.international.spanish.pipeline.AnCoraProcessor
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(Trilean) - Method in class edu.stanford.nlp.util.Trilean: Returns the logical and of this and the other value.
AND_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
AndExpression(List<Expression>) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.AndExpression
andFilter(Predicate<E>, Predicate<E>) - Static method in class edu.stanford.nlp.util.Filters: Filter that accepts only when both filters accept (AND).
AndPatternExpr(List<SequencePattern.PatternExpr>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
AndPatternExpr(SequencePattern.PatternExpr...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
animacies - Variable in class edu.stanford.nlp.coref.data.CorefCluster
animacies - Variable in class edu.stanford.nlp.dcoref.CorefCluster
animaciesAgree(Mention) - Method in class edu.stanford.nlp.coref.data.Mention
animaciesAgree(Mention, boolean) - Method in class edu.stanford.nlp.coref.data.Mention
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.coref.data.CorefChain.CorefMention
animacy - Variable in class edu.stanford.nlp.coref.data.Mention
animacy - Variable in class edu.stanford.nlp.dcoref.CorefChain.CorefMention
animacy - Variable in class edu.stanford.nlp.dcoref.Mention
ANIMACY_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
ANIMACY_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
ANIMACY_WORD_LIST - Static variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
animacySet - Variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
ANIMATE_NOUN - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
ANIMATE_PROP - Static variable in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
ANIMATE_PROP - Static variable in class edu.stanford.nlp.dcoref.Constants
animatePronouns - Variable in class edu.stanford.nlp.coref.data.Dictionaries
animatePronouns - Variable in class edu.stanford.nlp.dcoref.Dictionaries
animatePronounsEn - Static variable in class edu.stanford.nlp.coref.data.WordLists
animatePronounsZh - Static variable in class edu.stanford.nlp.coref.data.WordLists
animateWords - Variable in class edu.stanford.nlp.coref.data.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.coref.CorefSystem
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.naturalli.OpenIE: Given an Annotation, perform a task on this Annotation.
annotate(CoreMap, AnnotationPipeline) - Static method in class edu.stanford.nlp.naturalli.Util: TODO(gabor) JavaDoc
annotate(Annotation) - Method in class edu.stanford.nlp.paragraphs.ParagraphAnnotator
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>, Consumer<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>, 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, Consumer<Annotation>) - 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.ArabicSegmenterAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.BinarizerAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CharniakParserAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CleanXmlAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.ColumnDataClassifierAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CorefAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.CorefMentionAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.DeterministicCorefAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.DocDateAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.EntityMentionsAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.GenderAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.KBPAnnotator: Annotate this document for KBP relations.
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.MorphaAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.MWTAnnotator: The annotation process runs in two steps.
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.NERCombinerAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.NumberAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.POSTaggerAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.QuantifiableEntityNormalizingAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.QuoteAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
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(CoreDocument) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP: Annotate the CoreDocument wrapper.
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP: Run the pipeline on an input annotation.
annotate(Annotation, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLP
annotate(Annotation) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPClient: Run the pipeline on an input annotation.
annotate(Iterable<Annotation>, int, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPClient: This method fires off a request to the server.
annotate(Annotation, Consumer<Annotation>) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPClient: The canonical entry point of the client annotator.
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.quoteattribution.ChapterAnnotator
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.HeidelTimeKBPAnnotator
annotate(CoreMap) - Method in class edu.stanford.nlp.time.HeidelTimeKBPAnnotator
annotate(Annotation) - Method in class edu.stanford.nlp.time.TimeAnnotator
AnnotateAction(Map<String, String>) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.AnnotateAction
AnnotateAction(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
annotateChunk(CoreMap, List<CoreLabel>, int, int, int) - Static method in class edu.stanford.nlp.pipeline.ChunkAnnotationUtils: Annotates a CoreMap representing a chunk with basic chunk information.
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.
ANNOTATEDPARSETREE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
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 <label> and </label> for the reader to work correctly!
AnnotatedTextReader() - Constructor for class edu.stanford.nlp.patterns.surface.AnnotatedTextReader
annotateEntityMention(CoreMap, String) - Method in class edu.stanford.nlp.pipeline.GenderAnnotator
annotateForDependencyParse(Annotation, DependencyParser) - Static method in class edu.stanford.nlp.quoteattribution.QuoteAttributionUtils
annotateGroup(Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
annotateGroup(int, Map<String, String>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher
AnnotateHeadFunction(HeadFinder) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
AnnotateHeadFunction(HeadFinder, boolean) - Constructor for class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
annotateMulticlass(List<Datum<String, String>>) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
AnnotatePunctuationFunction(String, String) - Constructor for class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
annotateSentence(CoreMap) - Method in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
annotateSentence(CoreMap, Map<CoreLabel, List<CoreLabel>>) - Method in class edu.stanford.nlp.naturalli.OpenIE: Annotate a single sentence.
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.coref.docreader.CoNLLDocumentReader.Options
annotateTokenCoref - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
annotateTokenNer - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
annotateTokenNer - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
annotateTokenPos - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
annotateTokenPos - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
annotateTokenSpeaker - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
annotateTokenSpeaker - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
annotateTreeCoref - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
annotateTreeCoref - Variable in class edu.stanford.nlp.dcoref.CoNLL2011DocumentReader.Options
annotateTreeNer - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.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.coref.data.Document: Document annotation
annotation - Variable in class edu.stanford.nlp.coref.data.InputDoc
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: Make a new Annotation from a List of tokenized sentences.
Annotation() - Constructor for class edu.stanford.nlp.pipeline.Annotation: Deprecated.
annotation() - Method in class edu.stanford.nlp.pipeline.CoreDocument: provide access to the underlying annotation if needed
Annotation() - Constructor for class edu.stanford.nlp.time.TimeExpression.Annotation
ANNOTATION_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
AnnotationCreator - Interface in edu.stanford.nlp.pipeline: Creates a annotation from an input source
annotationDocument - Variable in class edu.stanford.nlp.pipeline.CoreDocument
AnnotationExtractRule() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule
AnnotationExtractRuleCreator() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRuleCreator
annotationField - Variable in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationExtractRule: Annotation field to apply rule over: text or tokens or numerizedtokens
AnnotationLookup - Class in edu.stanford.nlp.ling: Provides a mapping between CoreAnnotation keys, which are classes, and a text String that names them, which is needed for things like text serializations and the Semgrex query language.
AnnotationMatchedFilter(MatchedExpression.SingleAnnotationExtractor) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AnnotationMatchedFilter
AnnotationOutputter - Class in edu.stanford.nlp.pipeline: An interface for outputting CoreNLP Annotations to different output formats.
AnnotationOutputter() - Constructor for class edu.stanford.nlp.pipeline.AnnotationOutputter
AnnotationOutputter.Options - Class in edu.stanford.nlp.pipeline
AnnotationPipeline - Class in edu.stanford.nlp.pipeline: This class is designed to apply multiple Annotators to an Annotation.
AnnotationPipeline(List<Annotator>) - Constructor for class edu.stanford.nlp.pipeline.AnnotationPipeline
AnnotationPipeline() - Constructor for class edu.stanford.nlp.pipeline.AnnotationPipeline
annotations - Variable in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams: This data structure dictates how an arbitrary tree should be annotated.
AnnotationSerializer - Class in edu.stanford.nlp.pipeline
AnnotationSerializer() - Constructor for class edu.stanford.nlp.pipeline.AnnotationSerializer
AnnotationSerializer.IntermediateEdge - Class in edu.stanford.nlp.pipeline
AnnotationSerializer.IntermediateNode - Class in edu.stanford.nlp.pipeline
AnnotationSerializer.IntermediateSemanticGraph - Class in edu.stanford.nlp.pipeline
annotationsToSkip - Variable in class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
annotationToDoc(Annotation, StanfordCoreNLP) - Static method in class edu.stanford.nlp.pipeline.XMLOutputter: Converts the given annotation to an XML document using options taken from the StanfordCoreNLP pipeline
annotationToDoc(Annotation, AnnotationOutputter.Options) - Static method in class edu.stanford.nlp.pipeline.XMLOutputter: Converts the given annotation to an XML document using the specified options
annotationToTmlTextElement(Annotation) - Static method in class edu.stanford.nlp.time.SUTimeMain
annotationToXmlDocument(Annotation) - Static method in class edu.stanford.nlp.time.SUTimeMain
AnnotationUtils - Class in edu.stanford.nlp.ie.machinereading.structure: Utilities to manipulate Annotations storing datasets or sentences with Machine Reading info
Annotator - Interface in edu.stanford.nlp.pipeline: This is an interface for adding annotations to a partially annotated Annotation.
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.
AnnotatorSignature(String, String) - Constructor for class edu.stanford.nlp.pipeline.StanfordCoreNLP.AnnotatorSignature
announceObjectBankEntries - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
anonymyizeNodes(Iterable<IndexedWord>, String) - Static method in class edu.stanford.nlp.semgraph.SemanticGraphUtils: Given an iterable set of distinct vertices, creates a new mapping that maps the original vertices to a set of "generic" versions.
ansiCode - Variable in enum edu.stanford.nlp.util.logging.Color
ansiCode - Variable in enum edu.stanford.nlp.util.logging.Style
ANSWER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
AnswerAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerAnnotation
answerClass - Variable in class edu.stanford.nlp.patterns.surface.LearnImportantFeatures
answerFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
answerLabel - Variable in class edu.stanford.nlp.patterns.surface.LearnImportantFeatures
AnswerObjectAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerObjectAnnotation
AnswerProbAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AnswerProbAnnotation
AntecedentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AntecedentAnnotation
antecedentIsMentionSpeaker(Document, Mention, Mention, Dictionaries) - Static method in class edu.stanford.nlp.coref.CorefRules: Is the speaker for mention the same entity as the ant entity?
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, Document) - Static method in class edu.stanford.nlp.coref.CorefRules: The antecedent matches the speaker annotation found in the mention
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
antecedentOrdering - Variable in class edu.stanford.nlp.coref.data.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_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language: Any = 1;
ANY_WORD_INT - Static variable in class edu.stanford.nlp.parser.lexparser.IntTaggedWord
AnyNodePattern() - Constructor for class edu.stanford.nlp.ling.tokensregex.NodePattern.AnyNodePattern
aOverAFilter - Variable in class edu.stanford.nlp.trees.BobChrisTreeNormalizer
AOverAFilter() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer.AOverAFilter
APOSTROPHE - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
appearEarlierThan(Mention) - Method in class edu.stanford.nlp.coref.data.Mention: Find which mention appears first in a document
appearEarlierThan(Mention) - Method in class edu.stanford.nlp.dcoref.Mention: Find which mention appears first in a document
append(String) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector: Append to the current feature name
append(char) - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector: Append to the current feature name
append(SequenceMatchResult<T>, List<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.BasicMatchReplacement: Append to replacement list our list of replacement items.
append(SequenceMatchResult<T>, List<T>) - 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<T>) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatcher.MatchReplacement: Append to replacement list.
append(SequenceMatchResult<T>, List<T>) - 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
AppendingObjectOutputStream(OutputStream) - Constructor for class edu.stanford.nlp.pipeline.GenericAnnotationSerializer.AppendingObjectOutputStream
appendLC - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
appendOffset(StringBuffer, int) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceElement
appendRules(List<SequenceMatchRules.Rule>) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor: Add specified rules to this extractor.
appendTimeFormats(DateTimeFormatterBuilder, int) - Method in class edu.stanford.nlp.time.SUTime.PartialTime
appliesNumericClassifiers() - Method in class edu.stanford.nlp.ie.NERClassifierCombiner
apply(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Maps a String input to an XML-formatted rendition of applying NER to the String.
apply(String) - Method in class edu.stanford.nlp.international.arabic.Buckwalter
apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapNodePatternTrigger
apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.AnnotateAction
apply(SequenceMatchResult<CoreMap>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatchAction.MergeAction
apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.MatchedExpression.SingleAnnotationExtractor
apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher.BasicSequencePatternTrigger
apply(SequenceMatchResult<T>, int...) - Method in interface edu.stanford.nlp.ling.tokensregex.SequenceMatchAction
apply(SequenceMatchResult<T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BoundAction
apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BranchAction
apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.NextMatchAction
apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.SeriesAction
apply(SequenceMatchResult<T>, int...) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.StartMatchAction
apply(MR) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchResult.GroupToIntervalFunc
apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapFunctionApplier
apply(CoreMap) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.CoreMapToListFunctionApplier
apply(List<? extends T>) - Method in class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.MultiSequencePatternExtractRule
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(SemanticGraph, Boolean) - Method in class edu.stanford.nlp.naturalli.ForwardEntailer: Create a new search problem instance, given a sentence (possibly fragment), and the corresponding parse tree.
apply(X) - Method in class edu.stanford.nlp.objectbank.IdentityFunction
apply(String) - Method in class edu.stanford.nlp.objectbank.ObjectBank.PathToFileFunction
apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.parser.common.ParserGrammar: Parses the list of HasWord.
apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.AbstractTreebankParserParams.AnnotatePunctuationFunction
apply(Pair<UnaryGrammar, BinaryGrammar>) - Method in class edu.stanford.nlp.parser.lexparser.LinearGrammarSmoother: Destructively modifies the input and returns it as a convenience.
apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.AnnotateHeadFunction
apply(TregexMatcher) - Method in class edu.stanford.nlp.parser.lexparser.TregexPoweredTreebankParserParams.SimpleStringFunction
apply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
apply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem: Apply the given transition to the given configuration, modifying the configuration's state in place.
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition: Add a binary node to the existing node on top of the stack
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.BinaryTransition: Add a binary node to the existing node on top of the stack
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition: Add a unary node to the existing node on top of the stack
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.CompoundUnaryTransition: Add a unary node to the existing node on top of the stack
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.FinalizeTransition
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition: Do nothing
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.IdleTransition: Do nothing
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition: Add the new preterminal to the stack, increment the queue position.
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.ShiftTransition: Add the new preterminal to the stack, increment the queue position.
apply(State) - Method in interface edu.stanford.nlp.parser.shiftreduce.Transition: Applies this transition to get a new state.
apply(State, double) - Method in interface edu.stanford.nlp.parser.shiftreduce.Transition: Applies this transition to get a new state.
apply(State) - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition: Add a unary node to the existing node on top of the stack
apply(State, double) - Method in class edu.stanford.nlp.parser.shiftreduce.UnaryTransition: Add a unary node to the existing node on top of the stack
apply(List<? extends CoreMap>) - Method in class edu.stanford.nlp.pipeline.CoreMapAggregator
apply(HasWord) - Method in class edu.stanford.nlp.process.Americanize: Americanize the HasWord or String coming in.
apply(String) - Method in class edu.stanford.nlp.process.AmericanizeFunction
apply(String) - Method in class edu.stanford.nlp.process.LowercaseAndAmericanizeFunction
apply(String) - Method in class edu.stanford.nlp.process.LowercaseFunction
apply(Object) - Method in class edu.stanford.nlp.process.Morphology
apply(List<IN>) - Method in class edu.stanford.nlp.process.PTBEscapingProcessor: Escape a List of HasWords.
apply(String) - Method in class edu.stanford.nlp.sequences.TrueCasingForNISTDocumentReaderAndWriter.LineToTrueCasesParser
apply(String) - Method in class edu.stanford.nlp.stats.MultiClassPrecisionRecallExtendedStats.StringStringConverter
apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.common.Tagger
apply(List<? extends HasWord>) - Method in class edu.stanford.nlp.tagger.maxent.MaxentTagger: Expects a sentence and returns a tagged sentence.
apply(SUTime.Temporal, SUTime.Temporal, int) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
apply(SUTime.Temporal, SUTime.Temporal) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
apply(SUTime.Temporal...) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
apply(Object...) - Method in enum edu.stanford.nlp.time.SUTime.TemporalOp
apply(String) - Method in class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
apply(MatchResult) - Method in class edu.stanford.nlp.time.TimeFormatter.CustomDateFormatExtractor
apply(CoreMap) - Method in class edu.stanford.nlp.time.TimeFormatter.JavaDateFormatExtractor
apply(CoreMap) - Method in class edu.stanford.nlp.time.TimeFormatter.JodaDateTimeFormatExtractor
apply(Tree) - Method in class edu.stanford.nlp.trees.BasicCategoryTreeTransformer
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.CompositeTreebank
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.DiskTreebank: Applies the TreeVisitor to to all trees in the Treebank.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.FilteringTreebank: Applies the TreeVisitor, but only to the trees that pass the filter.
apply(List<HasWord>) - Method in class edu.stanford.nlp.trees.international.pennchinese.ChineseEscaper: Note: At present this clobbers the input list items.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.MemoryTreebank: Apply the TreeVisitor tp to all trees in the Treebank.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.TransformingTreebank: Applies the TreeVisitor to to all trees in the Treebank.
apply(TreeVisitor) - Method in class edu.stanford.nlp.trees.Treebank: Apply a TreeVisitor to each tree in the Treebank.
apply(Tree) - Method in interface edu.stanford.nlp.trees.TreeTransformer
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 enum edu.stanford.nlp.util.logging.Style
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
ApplyDepPatterns<E extends Pattern> - Class in edu.stanford.nlp.patterns.dep: Applying Dependency patterns to sentences.
ApplyDepPatterns(Map<String, DataInstance>, List<String>, Map<SemgrexPattern, E>, String, boolean, boolean, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.dep.ApplyDepPatterns
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.
applyNERPenalty - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
applyNumericClassifiers - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
applyPats(Counter<E>, String, TwoDimensionalCounter<CandidatePhrase, E>, CollectionValuedMap<E, Triple<String, Integer, Integer>>, Set<CandidatePhrase>) - Method in class edu.stanford.nlp.patterns.ScorePhrases
ApplyPatterns<E extends Pattern> - Class in edu.stanford.nlp.patterns.surface: Applying SurfacePattern to sentences.
ApplyPatterns(Map<String, DataInstance>, List<String>, Map<TokenSequencePattern, E>, String, boolean, boolean, ConstantsAndVariables) - Constructor for class edu.stanford.nlp.patterns.surface.ApplyPatterns
applyPrior(double[], double) - Method in class edu.stanford.nlp.ie.crf.CRFLogConditionalObjectiveFunction
applySpecializedNER(List<E>) - Static method in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer: Runs a deterministic named entity classifier which is good at recognizing numbers and money and date expressions not recognized by our statistical NER.
applyTo(SemanticGraph, ClauseSplitterSearchProblem.State, SemanticGraphEdge, SemanticGraphEdge, SemanticGraphEdge) - Method in interface edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.Action: Apply this action to the given state.
applyToProjections(TreeVisitor, Tree, Tree, HeadFinder) - Static method in class edu.stanford.nlp.trees.Trees
applyToTruthValue(boolean) - Method in enum edu.stanford.nlp.naturalli.NaturalLogicRelation: Implements the finite state automata of composing the truth value of a sentence with a natural logic relation being applied.
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.UniversalChineseGrammaticalRelations: The "appositional modifier" (appos) grammatical relation (abstract).
APPOSITIONAL_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "appositional modifier" grammatical relation.
appositions - Variable in class edu.stanford.nlp.coref.data.Mention: Set of other mentions in the same sentence that are syntactic appositions to this
appositions - Variable in class edu.stanford.nlp.dcoref.Mention: Set of other mentions in the same sentence that are syntactic appositions to this
APPOSITIONS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
approx - Variable in class edu.stanford.nlp.time.SUTime.Temporal
approxAccuracy(int[][], int[][]) - Static method in class edu.stanford.nlp.sentiment.AbstractEvaluate
approxCombinedAccuracy(int[][], int[][]) - Static method in class edu.stanford.nlp.sentiment.AbstractEvaluate
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
approximateEntityMatchScore(String, String) - Method in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem: Approximately check if two entities are equivalent.
ApproximateRepeatSemantics() - Constructor for class edu.stanford.nlp.util.logging.RepeatedRecordHandler.ApproximateRepeatSemantics
ApproxMatch<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher: Represents an approximate match with a cost
ApproxMatch() - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
ApproxMatch(List<K>, V, int, int, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
ApproxMatch(List<K>, V, int, int, List<Match<K, V>>, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
ApproxMatch(List<K>, V, int, int, List<Match<K, V>>, double, Interval[]) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.ApproxMatch
APRIL - Static variable in class edu.stanford.nlp.time.SUTime
ARABIC - Static variable in class edu.stanford.nlp.swing.FontDetector
ARABIC_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo: list of properties files for each language
Arabic_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language: Arabic = 2;
ArabicCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArabicCharAnnotation
arabicDigit - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
ArabicDocumentReaderAndWriter - Class in edu.stanford.nlp.international.arabic.process: Reads newline delimited UTF-8 Arabic sentences with or without gold segmentation markers.
ArabicDocumentReaderAndWriter(boolean) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, boolean, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, boolean, boolean, String, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter(boolean, boolean, boolean, String, boolean, TokenizerFactory<CoreLabel>) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicDocumentReaderAndWriter
ArabicDocumentReaderAndWriter.RewrittenArabicAnnotation - Class in edu.stanford.nlp.international.arabic.process
ArabicEmptyFilter() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer.ArabicEmptyFilter
ArabicHeadFinder - Class in edu.stanford.nlp.trees.international.arabic: Find the head of an Arabic tree, using the usual kind of heuristic head finding rules.
ArabicHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
ArabicHeadFinder(String) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder: Construct an ArabicHeadFinder with a String parameter corresponding to the tagset in use.
ArabicHeadFinder(ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
ArabicHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
ArabicHeadFinder(TreebankLanguagePack, ArabicHeadFinder.TagSet) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicHeadFinder
ArabicHeadFinder.TagSet - Enum in edu.stanford.nlp.trees.international.arabic
ArabicMorphoFeatures() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification.ArabicMorphoFeatures
ArabicMorphoFeatureSpecification - Class in edu.stanford.nlp.international.arabic: Extracts morphosyntactic features from BAMA/SAMA analyses.
ArabicMorphoFeatureSpecification() - Constructor for class edu.stanford.nlp.international.arabic.ArabicMorphoFeatureSpecification
ArabicMorphoFeatureSpecification.ArabicMorphoFeatures - Class in edu.stanford.nlp.international.arabic: Converts features specifications to labels for tagging
arabicPunc - Variable in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
ArabicRawTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
ArabicRawTreeReaderFactory(boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory.ArabicRawTreeReaderFactory
ArabicSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArabicSegAnnotation
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.
ArabicSegmenterAnnotator - Class in edu.stanford.nlp.pipeline: This class will add segmentation information to an Annotation.
ArabicSegmenterAnnotator() - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
ArabicSegmenterAnnotator(boolean) - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
ArabicSegmenterAnnotator(String, boolean) - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
ArabicSegmenterAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.ArabicSegmenterAnnotator
ArabicSegmenterFeatureFactory<IN extends CoreLabel> - Class in edu.stanford.nlp.international.arabic.process: Feature factory for the IOB clitic segmentation model described by Green and DeNero (2012).
ArabicSegmenterFeatureFactory() - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicSegmenterFeatureFactory
ArabicSubcategoryStripper() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams.ArabicSubcategoryStripper
ArabicTokenizer<T extends HasWord> - Class in edu.stanford.nlp.international.arabic.process: Tokenizer for UTF-8 Arabic.
ArabicTokenizer(Reader, LexedTokenFactory<T>, Properties) - Constructor for class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
ArabicTokenizer.ArabicTokenizerFactory<T extends HasWord> - Class in edu.stanford.nlp.international.arabic.process
ArabicTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.arabic: Specifies the treebank/language specific components needed for parsing the Penn Arabic Treebank (ATB).
ArabicTreebankLanguagePack() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreebankLanguagePack
ArabicTreebankParserParams - Class in edu.stanford.nlp.parser.lexparser: A TreebankLangParserParams implementing class for the Penn Arabic Treebank.
ArabicTreebankParserParams() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicTreebankParserParams
ArabicTreebankParserParams.ArabicSubcategoryStripper - Class in edu.stanford.nlp.parser.lexparser
ArabicTreebankTokenizer - Class in edu.stanford.nlp.trees.international.arabic: Builds a tokenizer for the Penn Arabic Treebank (ATB) using a StreamTokenizer.
ArabicTreebankTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreebankTokenizer
ArabicTreeNormalizer - Class in edu.stanford.nlp.trees.international.arabic: Normalizes both terminals and non-terminals in Penn Arabic Treebank (ATB) trees.
ArabicTreeNormalizer(boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
ArabicTreeNormalizer(boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
ArabicTreeNormalizer(boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
ArabicTreeNormalizer(boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
ArabicTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeNormalizer
ArabicTreeNormalizer.ArabicEmptyFilter - Class in edu.stanford.nlp.trees.international.arabic: Remove traces and pronoun deletion markers.
ArabicTreeReaderFactory - Class in edu.stanford.nlp.trees.international.arabic: Reads ArabicTreebank trees.
ArabicTreeReaderFactory() - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
ArabicTreeReaderFactory(boolean, boolean, boolean, boolean, boolean, boolean, boolean) - Constructor for class edu.stanford.nlp.trees.international.arabic.ArabicTreeReaderFactory
ArabicTreeReaderFactory.ArabicRawTreeReaderFactory - Class in edu.stanford.nlp.trees.international.arabic
ArabicUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser: This is a basic unknown word model for Arabic.
ArabicUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>) - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel
ArabicUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModel: This constructor creates an UWM with empty data structures.
ArabicUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
ArabicUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.ArabicUnknownWordModelTrainer
arbitraryInputLayerSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
Arc(TransducerGraph.Arc<NODE, IN, OUT>) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
Arc(NODE, NODE) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
Arc(NODE, NODE, IN) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
Arc(NODE, NODE, IN, OUT) - Constructor for class edu.stanford.nlp.fsm.TransducerGraph.Arc
ARCH - Static variable in class edu.stanford.nlp.tagger.maxent.TaggerConfig
ArcStandard - Class in edu.stanford.nlp.parser.nndep: Defines an arc-standard transition-based dependency parsing system (Nivre, 2004).
ArcStandard(TreebankLanguagePack, List<String>, boolean) - Constructor for class edu.stanford.nlp.parser.nndep.ArcStandard
areTransitionsEqual(State) - Method in class edu.stanford.nlp.parser.shiftreduce.State: Whether or not the transitions that built the two states are equal.
arg - Variable in class edu.stanford.nlp.parser.lexparser.IntDependency
ARG_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
argCounter - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar: Stores all the counts for dependencies (with and without the word being a wildcard) in the reduced tag space.
ArgDescendentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgDescendentAnnotation
argmax(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmax(float[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmax(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
argmax(Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Finds and returns the key in the Counter with the largest count.
argmax(Counter<E>, Comparator<E>) - Static method in class edu.stanford.nlp.stats.Counters: Finds and returns the key in the Counter with the largest count.
argmax(Counter<E>, Comparator<E>, 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.
ARGNAME_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation
argNames - Variable in class edu.stanford.nlp.ie.machinereading.structure.RelationMention: List of argument names in this relation
args - Variable in class edu.stanford.nlp.ie.machinereading.structure.RelationMention: List of arguments in this relation If unnamed, arguments MUST be stored in semantic order, e.g., ARG0 must be a person in a employed-by relation
argsMatch(RelationMention) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
argsMatch(ExtractionObject...) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention
argsMatch(List<ExtractionObject>) - Method in class edu.stanford.nlp.ie.machinereading.structure.RelationMention: Verifies if the two sets of arguments match
argsToMap(String[]) - Static method in class edu.stanford.nlp.util.StringUtils: Parses command line arguments into a Map.
argsToMap(String[], Map<String, Integer>) - Static method in class edu.stanford.nlp.util.StringUtils: Parses command line arguments into a Map.
argsToProperties(String...) - Static method in class edu.stanford.nlp.util.StringUtils: In this version each flag has zero or one argument.
argsToProperties(String[], Map<String, Integer>) - Static method in class edu.stanford.nlp.util.StringUtils: Analogous to StringUtils.argsToMap(java.lang.String[]).
argsToPropertiesWithResolve(String[]) - Static method in class edu.stanford.nlp.util.StringUtils: convert args to properties with variable names resolved.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.EnglishGrammaticalRelations: The "argument" grammatical relation.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "argument" grammatical relation.
ARGUMENT - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "argument" (arg) grammatical relation (abstract).
ARGUMENT - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "argument" grammatical relation.
ArgumentAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ArgumentAnnotation
ArgumentParser - Class in edu.stanford.nlp.util: A class to set command line options.
ArgumentParser.Option - Annotation Type in edu.stanford.nlp.util
ArgUtils - Class in edu.stanford.nlp.parser.common: Utility methods or common blocks of code for dealing with parser arguments, such as extracting Treebank information
ARMY_TIME_MORNING - Static variable in class edu.stanford.nlp.ie.regexp.NumberSequenceClassifier
arrange(Annotation, List<List<CoreLabel>>, List<Tree>, List<List<Mention>>) - Method in class edu.stanford.nlp.dcoref.MentionExtractor
arrange(Annotation, List<List<CoreLabel>>, List<Tree>, List<List<Mention>>, List<List<Mention>>, boolean) - Method in class edu.stanford.nlp.dcoref.MentionExtractor
arrange(Annotation, List<List<CoreLabel>>, List<Tree>, List<List<Mention>>, boolean) - Method in class edu.stanford.nlp.dcoref.MentionExtractor: Post-processes the extracted mentions.
ARRAY_LIST_FACTORY - Static variable in class edu.stanford.nlp.util.CollectionFactory
ArrayCoreMap - Class in edu.stanford.nlp.util: Base implementation of CoreMap backed by two Java arrays.
ArrayCoreMap() - Constructor for class edu.stanford.nlp.util.ArrayCoreMap: Default constructor - initializes with default initial annotation capacity of 4.
ArrayCoreMap(int) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap: Initializes this ArrayCoreMap, pre-allocating arrays to hold up to capacity key,value pairs.
ArrayCoreMap(ArrayCoreMap) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap: Copy constructor.
ArrayCoreMap(CoreMap) - Constructor for class edu.stanford.nlp.util.ArrayCoreMap: Copy constructor.
ArrayHeap<E> - Class in edu.stanford.nlp.util: Implements a heap as an ArrayList.
ArrayHeap(Comparator<? super E>) - Constructor for class edu.stanford.nlp.util.ArrayHeap: Create an ArrayHeap.
ArrayHeap(Comparator<? super E>, int) - Constructor for class edu.stanford.nlp.util.ArrayHeap
arrayListFactory() - Static method in class edu.stanford.nlp.util.CollectionFactory: Return a factory for making ArrayList Collections.
arrayListFactory(int) - Static method in class edu.stanford.nlp.util.CollectionFactory
ArrayListFactory() - Constructor for class edu.stanford.nlp.util.CollectionFactory.ArrayListFactory
ArrayMap<K,V> - Class in edu.stanford.nlp.util: Map backed by an Array.
ArrayMap() - Constructor for class edu.stanford.nlp.util.ArrayMap
ArrayMap(int) - Constructor for class edu.stanford.nlp.util.ArrayMap
ArrayMap(Map<? extends K, ? extends V>) - Constructor for class edu.stanford.nlp.util.ArrayMap
ArrayMap(K[], V[]) - Constructor for class edu.stanford.nlp.util.ArrayMap
arrayMapFactory() - Static method in class edu.stanford.nlp.util.MapFactory: Return a MapFactory that returns an ArrayMap.
ArrayMath - Class in edu.stanford.nlp.math: Methods for operating on numerical arrays as vectors and matrices.
ArrayMath.InvalidElementException - Exception in edu.stanford.nlp.math
ArraySet<E> - Class in edu.stanford.nlp.util: An array-backed set.
ArraySet() - Constructor for class edu.stanford.nlp.util.ArraySet: Constructs an ArraySet.
ArraySet(List<E>) - Constructor for class edu.stanford.nlp.util.ArraySet: Constructs an ArraySet, using the given list as the backing collection.
ArraySet(int) - Constructor for class edu.stanford.nlp.util.ArraySet: Constructs an ArraySet with specified initial size of backing array.
ArraySet(E...) - Constructor for class edu.stanford.nlp.util.ArraySet: Constructs an ArraySet with the specified elements.
arraySize - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
ArrayStringFilter - Class in edu.stanford.nlp.util: Filters Strings based on whether they exactly match any string in the array it is initially constructed with.
ArrayStringFilter(ArrayStringFilter.Mode, String...) - Constructor for class edu.stanford.nlp.util.ArrayStringFilter
ArrayStringFilter.Mode - Enum in edu.stanford.nlp.util
arrayToFile(double[], String) - Method in class edu.stanford.nlp.optimization.StochasticDiffFunctionTester
ArrayUtils - Class in edu.stanford.nlp.util: Static utility methods for operating on arrays.
asAnnotation() - Method in class edu.stanford.nlp.simple.Document: Return this Document as an Annotation object.
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
ASCII_QUOTES - Variable in class edu.stanford.nlp.pipeline.QuoteAnnotator
asciiQuotes(String) - Static method in class edu.stanford.nlp.process.LexerUtils: Convert all single and double quote like characters to the ASCII quote characters: ' ".
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.
asCoreLabels(Function<Sentence, Object>...) - Method in class edu.stanford.nlp.simple.Sentence: Returns this sentence as a list of CoreLabels representing the sentence.
asCoreMap(Function<Sentence, Object>...) - Method in class edu.stanford.nlp.simple.Sentence: Returns this sentence as a CoreNLP CoreMap object.
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.
asDependencyTree() - Method in class edu.stanford.nlp.ie.util.RelationTriple: An optional method, returning the dependency tree this triple was extracted from
asDependencyTree() - Method in class edu.stanford.nlp.ie.util.RelationTriple.WithTree: An optional method, returning the dependency tree this triple was extracted from
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.
ASIAN_SMILEY - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
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.
asNormalizedCounter(C) - Static method in class edu.stanford.nlp.stats.Counters: L1 normalize a counter.
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.UniversalChineseGrammaticalRelations: 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
asProperties(String...) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Create a Properties object from the passed in String arguments.
asSentence() - Method in class edu.stanford.nlp.ie.util.RelationTriple: Return the given relation triple as a flat sentence
assertEquals(Set<E>, Set<E>, String, String, boolean, Supplier<String>) - Static method in class edu.stanford.nlp.util.Sets: Tests whether two sets are equal.
assertFinite(double[], String) - Static method in class edu.stanford.nlp.math.ArrayMath
asSet(T[]) - Static method in class edu.stanford.nlp.util.ArrayUtils: Return a Set containing the same elements as the specified array.
asSet(T...) - Static method in class edu.stanford.nlp.util.CollectionUtils: Returns a new Set containing all the objects in the specified array.
assign(Expression) - Method in interface edu.stanford.nlp.ling.tokensregex.types.AssignableExpression
assign(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.AssignableFunctionCallExpression
assign(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.RegexMatchVarExpression
assign(Expression) - Method in class edu.stanford.nlp.ling.tokensregex.types.Expressions.VarExpression
AssignableExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
AssignableExpression - Interface in edu.stanford.nlp.ling.tokensregex.types: This interface represents an expression that can be assigned to.
AssignableFunctionCallExpression(String, List<Expression>, String...) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.AssignableFunctionCallExpression
AssignableNestedVarExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
AssignableVar(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.AndPatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.GroupPatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.MultiNodePatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.NodePatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.OrPatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.PatternExpr: Assigns group ids to groups embedded in this patterns starting with at the specified number, returns the next available group id.
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.RepeatPatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SequencePatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.SpecialNodePatternExpr
assignGroupIds(int) - Method in class edu.stanford.nlp.ling.tokensregex.SequencePattern.ValuePatternExpr
assignMentionIDs(List<List<Mention>>, int) - Static method in class edu.stanford.nlp.coref.md.DependencyCorefMentionFinder
assignMentionIDs(List<List<Mention>>, int) - Static method in class edu.stanford.nlp.dcoref.RuleBasedCorefMentionFinder
AssignmentRule(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
AssignmentRule(AssignableExpression, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.AssignmentRule
assignOriginalID() - Method in class edu.stanford.nlp.dcoref.Document: When there is no mentionID information (without gold annotation), assign mention IDs
assignSyntacticHead(EntityMention, Tree, List<CoreLabel>, boolean) - Method in class edu.stanford.nlp.ie.machinereading.GenericDataSetReader: Find the index of the head of an entity.
ASSOCIATIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "associative marker" grammatical relation.
ASSOCIATIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "associative modifier" (nmod:assmod) grammatical relation (Chinese-specific).
ASSOCIATIVEM_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "associative modifier" grammatical relation.
asSortedList() - Method in class edu.stanford.nlp.util.Beam
asString(Properties) - Static method in class edu.stanford.nlp.util.PropertiesUtils: Convert from Properties to String.
assumedTruth - Variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem: The assumed truth of the original clause.
assumedTruth - Variable in class edu.stanford.nlp.naturalli.SentenceFragment: The assumed truth of this fragment; this is relevant for what entailments are supported
ASSUMEDTRUTH_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment
aStringArrToByteArr(String[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
aStringArrToByteArr(String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
aStringArrToByteArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
asValue(Env, Object) - Static method in class edu.stanford.nlp.ling.tokensregex.types.Expressions
AT - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
atbFactory() - Static method in class edu.stanford.nlp.international.arabic.process.ArabicTokenizer
ATBTreeUtils - Class in edu.stanford.nlp.trees.international.arabic: Various static convenience methods for processing Arabic parse trees.
attachedNegatedVerb(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph
attachLabels(Tree, Class<? extends CoreAnnotation<Integer>>) - Static method in class edu.stanford.nlp.sentiment.SentimentUtils
attachModelToLexicalizedParser() - Method in class edu.stanford.nlp.parser.dvparser.DVParser
ATTRIBUTE_QUOTES - Variable in class edu.stanford.nlp.pipeline.QuoteAnnotator
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() - Method in class edu.stanford.nlp.semgraph.semgrex.NodeAttributes
attributes - Variable in class edu.stanford.nlp.util.XMLUtils.XMLTag: Stores attributes as a Map from keys to values.
attributesAgree(Mention, Dictionaries) - Method in class edu.stanford.nlp.coref.data.Mention: Detects if the mention and candidate antecedent agree on all attributes respectively.
attributesAgree(Mention, Dictionaries) - Method in class edu.stanford.nlp.dcoref.Mention: Detects if the mention and candidate antecedent agree on all attributes respectively.
AttributesEqualMatchChecker(K...) - Constructor for class edu.stanford.nlp.ling.tokensregex.ComplexNodePattern.AttributesEqualMatchChecker
AttributesEqualMatchChecker(Class...) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapNodePattern.AttributesEqualMatchChecker
ATTRIBUTIONDEPENDENCYGRAPH_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
ATTRIBUTIVE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "attributive" grammatical relation.
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
aType - Variable in class edu.stanford.nlp.coref.hybrid.sieve.Sieve: type of mention we want to compare to.
aTypeStr - Variable in class edu.stanford.nlp.coref.hybrid.sieve.Sieve
augmentedDateChars - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
AUGUST - Static variable in class edu.stanford.nlp.time.SUTime
AUTHOR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
AUTHOR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
AuthorAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.AuthorAnnotation
AUTHORCHARBEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
AUTHORCHAREND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
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 "copula" grammatical relation.
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "auxiliary" (aux) grammatical relation.
AUX_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: An auxiliary of a clause is a non-main verb of the clause, e.g., a modal auxiliary, or a form of be, do or have in a periphrastic tense.
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 "passive" grammatical relation.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "auxiliary passive" (auxpass) grammatical relation.
AUX_PASSIVE_MODIFIER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "passive auxiliary" grammatical relation.
auxDataPath - Static variable in class edu.stanford.nlp.ie.machinereading.MachineReadingProperties
auxiliaries - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
AuxiliaryTree - Class in edu.stanford.nlp.trees.tregex.tsurgeon
AuxiliaryTree(Tree, boolean) - Constructor for class edu.stanford.nlp.trees.tregex.tsurgeon.AuxiliaryTree
auxTagConversion - Static variable in class edu.stanford.nlp.international.spanish.pipeline.AnCoraProcessor
auxTrueCaseModels - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
available() - Method in class edu.stanford.nlp.io.ReaderInputStream
available(int) - Static method in class edu.stanford.nlp.net.Ports: Checks to see if a specific port is available.
average(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
average(Counter<E>, Counter<E>) - Static method in class edu.stanford.nlp.stats.Counters: Returns a new Counter with counts averaged from the two given Counters.
averageCount() - Method in class edu.stanford.nlp.stats.IntCounter: Returns the mean of all the counts (totalCount/size).
averagedModels - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions: If set to 0, training outputs the last model produced, regardless of its score.
averageModels(Collection<PerceptronModel>) - Method in class edu.stanford.nlp.parser.shiftreduce.PerceptronModel
averagePerceptron - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
averageScoredModels(Collection<ScoredObject<PerceptronModel>>) - Method in class edu.stanford.nlp.parser.shiftreduce.PerceptronModel
awaitTermination(long, TimeUnit) - Method in class edu.stanford.nlp.util.concurrent.InterruptibleMulticoreWrapper: After a shutdown request, await for the final termination of all threads.

B

B3Evaluator() - Constructor for class edu.stanford.nlp.coref.statistical.EvalUtils.B3Evaluator
BA - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "ba" grammatical relation.
BA - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "ba" grammatical relation.
backEdge - Variable in class edu.stanford.nlp.parser.lexparser.Item
BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.ie.ChineseQuantifiableEntityNormalizer
BACKGROUND_SYMBOL - Static variable in class edu.stanford.nlp.ie.QuantifiableEntityNormalizer
BACKGROUND_SYMBOL_PROPERTY - Static variable in class edu.stanford.nlp.pipeline.QuantifiableEntityNormalizingAnnotator
backgroundIndex() - Method in class edu.stanford.nlp.ie.crf.CRFCliqueTree
backgroundNerTag - Variable in class edu.stanford.nlp.coref.docreader.CoNLLDocumentReader.Options
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 - Static variable in class edu.stanford.nlp.patterns.ConstantsAndVariables
backgroundSymbol - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
backHook - Variable in class edu.stanford.nlp.parser.lexparser.Edge
backingLabel() - Method in class edu.stanford.nlp.ling.IndexedWord: Return the CoreLabel behind this IndexedWord
backpropDerivative(Tree, List<String>, IdentityHashMap<Tree, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, Map<String, SimpleMatrix>) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
backpropDerivative(Tree, List<String>, IdentityHashMap<Tree, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, TwoDimensionalMap<String, String, SimpleMatrix>, Map<String, SimpleMatrix>, Map<String, SimpleMatrix>, SimpleMatrix) - Method in class edu.stanford.nlp.parser.dvparser.DVParserCostAndGradient
backpropLopTraining - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BackRefPatternExpr(SequencePattern.NodesMatchChecker, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequencePattern.BackRefPatternExpr
BACKWARD_WEIGHT - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
BACKWARD_WINDOW - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
BACKWARD_WINDOW_BIG - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
BagOfWordsAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BagOfWordsAnnotation
balance() - Method in class edu.stanford.nlp.util.IntervalTree
balance(IntervalTree.TreeNode<E, T>) - Method in class edu.stanford.nlp.util.IntervalTree
BammanCorefReader - Class in edu.stanford.nlp.quoteattribution: Created by michaelf on 12/30/15.
BammanCorefReader() - Constructor for class edu.stanford.nlp.quoteattribution.BammanCorefReader
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.
BaselineTopSpeakerSieve - Class in edu.stanford.nlp.quoteattribution.Sieves.MSSieves
BaselineTopSpeakerSieve(Annotation, Map<String, List<Person>>, Map<Integer, String>, Set<String>, Map<String, Person.Gender>, Set<String>) - Constructor for class edu.stanford.nlp.quoteattribution.Sieves.MSSieves.BaselineTopSpeakerSieve
BaseModel - Class in edu.stanford.nlp.parser.shiftreduce
BaseModel(ShiftReduceOptions, Index<Transition>, Set<String>, Set<String>, Set<String>) - Constructor for class edu.stanford.nlp.parser.shiftreduce.BaseModel
BaseModel(BaseModel) - Constructor for class edu.stanford.nlp.parser.shiftreduce.BaseModel
baseParserWeight - Variable in class edu.stanford.nlp.parser.lexparser.Options: If reranking sentences, we can use the score from the original parser as well.
baseTestDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
baseTrainDir - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BaseUnknownWordModel - Class in edu.stanford.nlp.parser.lexparser: An unknown word model for a generic language.
BaseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>, ClassicCounter<IntTaggedWord>, Map<Label, ClassicCounter<String>>, Map<String, Float>, Set<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel
BaseUnknownWordModel(Options, Lexicon, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModel: This constructor creates an UWM with empty data structures.
BaseUnknownWordModelTrainer - Class in edu.stanford.nlp.parser.lexparser
BaseUnknownWordModelTrainer() - Constructor for class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModelTrainer
basicCategory(String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
basicCategory(String) - Method in class edu.stanford.nlp.parser.lexparser.LinearGrammarSmoother
basicCategory(String) - Method in class edu.stanford.nlp.sentiment.SentimentModel
basicCategory(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns the basic syntactic category of a String.
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraHeadFinder
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.negra.NegraPennLanguagePack
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZHeadFinder
basicCategory(String) - Method in class edu.stanford.nlp.trees.international.tuebadz.TueBaDZLanguagePack
basicCategory(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns the basic syntactic category of a String by truncating stuff after a (non-word-initial) occurrence of one of the labelAnnotationIntroducingCharacters().
BasicCategoryTagProjection - Class in edu.stanford.nlp.parser.lexparser
BasicCategoryTagProjection(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.parser.lexparser.BasicCategoryTagProjection
basicCategoryTagsInDependencyGrammar - Variable in class edu.stanford.nlp.parser.lexparser.MLEDependencyGrammarExtractor: Whether basic category tags are in the dependency grammar.
basicCategoryTagsInDependencyGrammar - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions: Where to use the basic or split tags in the dependency grammar
BasicCategoryTreeTransformer - Class in edu.stanford.nlp.trees: Transforms trees by turning the labels into their basic categories according to the TreebankLanguagePack
BasicCategoryTreeTransformer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.BasicCategoryTreeTransformer
BasicCondExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
BasicCoreMapSequenceMatcher(SequencePattern<CoreMap>, CoreMap) - Constructor for class edu.stanford.nlp.ling.tokensregex.CoreMapSequenceMatcher.BasicCoreMapSequenceMatcher
BasicDatum<LabelType,FeatureType> - Class in edu.stanford.nlp.ling: Basic implementation of Datum interface that can be constructed with a Collection of features and one more more labels.
BasicDatum(Collection<FeatureType>, Collection<LabelType>) - Constructor for class edu.stanford.nlp.ling.BasicDatum: Constructs a new BasicDatum with the given features and labels.
BasicDatum(Collection<FeatureType>, LabelType) - Constructor for class edu.stanford.nlp.ling.BasicDatum: Constructs a new BasicDatum with the given features and label.
BasicDatum(Collection<FeatureType>) - Constructor for class edu.stanford.nlp.ling.BasicDatum: Constructs a new BasicDatum with the given features and no labels.
BasicDatum() - Constructor for class edu.stanford.nlp.ling.BasicDatum: Constructs a new BasicDatum with no features or labels.
BASICDEPENDENCIES_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
BasicDependenciesAnnotation() - Constructor for class edu.stanford.nlp.semgraph.SemanticGraphCoreAnnotations.BasicDependenciesAnnotation
basicDependency - Variable in class edu.stanford.nlp.coref.data.Mention
BasicDocument<L> - Class in edu.stanford.nlp.ling: Basic implementation of Document that should be suitable for most needs.
BasicDocument() - Constructor for class edu.stanford.nlp.ling.BasicDocument: Constructs a new (empty) BasicDocument using a PTBTokenizer.
BasicDocument(TokenizerFactory<Word>) - Constructor for class edu.stanford.nlp.ling.BasicDocument: Constructs a new (empty) BasicDocument using the given tokenizer.
BasicDocument(Document<L, Word, Word>) - Constructor for class edu.stanford.nlp.ling.BasicDocument
BasicDocument(Collection<Word>) - Constructor for class edu.stanford.nlp.ling.BasicDocument
BasicEntityExtractor - Class in edu.stanford.nlp.ie.machinereading: Uses parsed files to train classifier and test on data set.
BasicEntityExtractor(String, boolean, Set<String>, boolean, EntityMentionFactory, boolean) - Constructor for class edu.stanford.nlp.ie.machinereading.BasicEntityExtractor
BasicFeatureFactory - Class in edu.stanford.nlp.parser.shiftreduce
BasicFeatureFactory() - Constructor for class edu.stanford.nlp.parser.shiftreduce.BasicFeatureFactory
BasicMatchReplacement(T...) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.BasicMatchReplacement
BasicMatchReplacement(List<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatcher.BasicMatchReplacement
BasicRelationExtractor - Class in edu.stanford.nlp.ie.machinereading
BasicRelationExtractor(RelationFeatureFactory, Boolean, RelationMentionFactory) - Constructor for class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
BasicRelationFeatureFactory - Class in edu.stanford.nlp.ie.machinereading
BasicRelationFeatureFactory(String...) - Constructor for class edu.stanford.nlp.ie.machinereading.BasicRelationFeatureFactory
BasicSequenceExtractRule(MatchedExpression.SingleAnnotationExtractor) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchRules.BasicSequenceExtractRule
BasicSequenceMatchResult<T> - Class in edu.stanford.nlp.ling.tokensregex: Basic results for a Sequence Match
BasicSequenceMatchResult() - Constructor for class edu.stanford.nlp.ling.tokensregex.BasicSequenceMatchResult
BasicSequenceMatchResult.MatchedGroup - Class in edu.stanford.nlp.ling.tokensregex
BasicSequencePatternTrigger(MultiPatternMatcher.NodePatternTrigger<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.MultiPatternMatcher.BasicSequencePatternTrigger
BasicValue(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
batchProcessSents - Variable in class edu.stanford.nlp.patterns.ConstantsAndVariables: Use this option if you are limited by memory ; ignored if fileFormat is ser.
batchSize - Variable in class edu.stanford.nlp.parser.lexparser.TrainOptions
batchSize - Variable in class edu.stanford.nlp.parser.nndep.Config: Size of mini-batch for training.
batchSize - Variable in class edu.stanford.nlp.sentiment.RNNTrainOptions
Beam<T> - Class in edu.stanford.nlp.util: Implements a finite beam, taking a comparator (default is ScoredComparator.ASCENDING_COMPARATOR, the MAX object according to the comparator is the one to be removed) and a beam size on construction (default is 100).
Beam() - Constructor for class edu.stanford.nlp.util.Beam
Beam(int) - Constructor for class edu.stanford.nlp.util.Beam
Beam(int, Comparator<? super T>) - Constructor for class edu.stanford.nlp.util.Beam
BeamBestSequenceFinder - Class in edu.stanford.nlp.sequences: A class capable of computing the best sequence given a SequenceModel.
BeamBestSequenceFinder(int) - Constructor for class edu.stanford.nlp.sequences.BeamBestSequenceFinder
BeamBestSequenceFinder(int, boolean) - Constructor for class edu.stanford.nlp.sequences.BeamBestSequenceFinder
BeamBestSequenceFinder(int, boolean, boolean) - Constructor for class edu.stanford.nlp.sequences.BeamBestSequenceFinder
beamSize - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTestOptions
beamSize - Variable in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceTrainOptions
beamSize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeAnnotation
beAuxiliaryRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
before(AceEntityMention) - Method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceEntityMention: Verifies if this mention appears before the parameter in textual order
before() - Method in class edu.stanford.nlp.ling.CoreLabel
before() - Method in interface edu.stanford.nlp.ling.HasContext
before() - Method in class edu.stanford.nlp.ling.IndexedWord
before() - Method in class edu.stanford.nlp.simple.Sentence: The whitespace before each token in the sentence.
before(int) - Method in class edu.stanford.nlp.simple.Sentence: The whitespace before this token in the sentence.
before() - Method in class edu.stanford.nlp.simple.Token
BEFORE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
BeforeAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeforeAnnotation
beforeQuotePunctuation - Static variable in class edu.stanford.nlp.quoteattribution.Sieves.QMSieves.QMSieve
beGetVerbs - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
begin - Variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve.MentionData
begin() - Method in class edu.stanford.nlp.time.SUTime.Range
begin - Variable in class edu.stanford.nlp.time.Timex.Range
BEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
BEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span
BEGINCHAR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
BEGININDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention
BEGININDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
BeginIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BeginIndexAnnotation
beginPoint() - Method in class edu.stanford.nlp.time.Timex
BEGINPOINT_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex
beginPosition() - Method in class edu.stanford.nlp.ling.CoreLabel: Return the beginning char offset of the label (or -1 if none).
beginPosition() - Method in interface edu.stanford.nlp.ling.HasOffset: Return the beginning char 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
beginPosition() - Method in class edu.stanford.nlp.simple.Token
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.coref.data.Mention: Set of other mentions in the same sentence that I am a member of
belongToLists - Variable in class edu.stanford.nlp.dcoref.Mention: Set of other mentions in the same sentence that I am a member of
BELONGTOLISTS_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention
belowLineSkip - Static variable in class edu.stanford.nlp.parser.ui.TreeJPanel
berkeleyAlignerLoadPath - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
best() - Method in class edu.stanford.nlp.util.EditDistance
BestCliquesAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestCliquesAnnotation
bestEntityMention(List<CoreMap>) - Method in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem
BestFullAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.BestFullAnnotation
BestOfTopKEval - Class in edu.stanford.nlp.parser.metrics: Applies an AbstractEval to a list of trees to pick the best tree using F1 measure.
BestOfTopKEval(AbstractEval, AbstractEval) - Constructor for class edu.stanford.nlp.parser.metrics.BestOfTopKEval
bestScore - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.BeamBestSequenceFinder
bestSequence(SequenceModel, int) - Method in class edu.stanford.nlp.sequences.BeamBestSequenceFinder
bestSequence(SequenceModel) - Method in interface edu.stanford.nlp.sequences.BestSequenceFinder: Finds the best sequence for the sequence model based on its scoring.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.ExactBestSequenceFinder: Runs the Viterbi algorithm on the sequence model given by the TagScorer in order to find the best sequence.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.KBestSequenceFinder: Runs the Viterbi algorithm on the sequence model in order to find the best sequence.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.SequenceGibbsSampler: Finds the best sequence by collecting numSamples samples, scoring them, and then choosing the highest scoring sample.
bestSequence(SequenceModel) - Method in class edu.stanford.nlp.sequences.SequenceSampler: Samples each label in turn from left to right.
BestSequenceFinder - Interface in edu.stanford.nlp.sequences: An interface for classes capable of computing the best sequence given a SequenceModel.
bestSequenceWithLinearConstraints(SequenceModel, double[][]) - Static method in class edu.stanford.nlp.sequences.ExactBestSequenceFinder
better(double, double) - Static method in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
better(double, double) - Method in class edu.stanford.nlp.util.EditDistance
bg - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
bg - Variable in class edu.stanford.nlp.parser.lexparser.ExhaustivePCFGParser
bg - Variable in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
biAlignmentPriorIsPMI - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BiasedLogConditionalObjectiveFunction - Class in edu.stanford.nlp.classify: Maximizes the conditional likelihood with a given prior.
BiasedLogConditionalObjectiveFunction(GeneralDataset<?, ?>, double[][]) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
BiasedLogConditionalObjectiveFunction(GeneralDataset<?, ?>, double[][], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
BiasedLogConditionalObjectiveFunction(int, int, int[][], int[], double[][]) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
BiasedLogConditionalObjectiveFunction(int, int, int[][], int[], double[][], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogConditionalObjectiveFunction
BiasedLogisticObjectiveFunction - Class in edu.stanford.nlp.classify
BiasedLogisticObjectiveFunction(int, int[][], int[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
BiasedLogisticObjectiveFunction(int, int[][], int[], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
BiasedLogisticObjectiveFunction(int, int[][], int[], float[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
BiasedLogisticObjectiveFunction(int, int[][], int[], LogPrior, float[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
BiasedLogisticObjectiveFunction(int, int[][], double[][], int[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
BiasedLogisticObjectiveFunction(int, int[][], double[][], int[], LogPrior) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
BiasedLogisticObjectiveFunction(int, int[][], double[][], int[], LogPrior, float[]) - Constructor for class edu.stanford.nlp.classify.BiasedLogisticObjectiveFunction
biasedTrainFile - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
bigramLM - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BikelChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese: A headfinder implementing Dan Bikel's head rules.
BikelChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.BikelChineseHeadFinder
BikelChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.BikelChineseHeadFinder
bikelHeadFinder - Variable in class edu.stanford.nlp.parser.lexparser.ChineseTreebankParserParams
BiLexPCFGParser - Class in edu.stanford.nlp.parser.lexparser: Implements Eisner and Satta style algorithms for bilexical PCFG parsing.
BiLexPCFGParser(Scorer, ExhaustivePCFGParser, ExhaustiveDependencyParser, BinaryGrammar, UnaryGrammar, DependencyGrammar, Lexicon, Options, Index<String>, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
BiLexPCFGParser.N5BiLexPCFGParser - Class in edu.stanford.nlp.parser.lexparser
bilinearProducts(SimpleMatrix) - Method in class edu.stanford.nlp.neural.SimpleTensor: Returns a column vector where each entry is the nth bilinear product of the nth slices of the two tensors.
BINARIZEDPARSETREE_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
BinarizedTreeAnnotation() - Constructor for class edu.stanford.nlp.trees.TreeCoreAnnotations.BinarizedTreeAnnotation
BinarizerAnnotator - Class in edu.stanford.nlp.pipeline: This annotator takes unbinarized trees (from the parser annotator or elsewhere) and binarizes them in the attachment.
BinarizerAnnotator(String, Properties) - Constructor for class edu.stanford.nlp.pipeline.BinarizerAnnotator
binarizeTreebank(Treebank, Options) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
BINARY_APPROXIMATE_EQUIVALENCE_CLASSES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
BINARY_DEFAULT_CLASS_NAMES - Static variable in class edu.stanford.nlp.sentiment.RNNOptions
binaryClassification - Variable in class edu.stanford.nlp.sentiment.SentimentModel: CxN+1, where N = size of word vectors, C is the number of classes
binaryClassificationSize - Variable in class edu.stanford.nlp.sentiment.SentimentModel: How many elements a classification matrix has
BinaryGrammar - Class in edu.stanford.nlp.parser.lexparser: Maintains efficient indexing of binary grammar rules.
BinaryGrammar(Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryGrammar
BinaryGrammarExtractor - Class in edu.stanford.nlp.parser.lexparser
BinaryGrammarExtractor(Options, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryGrammarExtractor
BinaryHeadFinder - Class in edu.stanford.nlp.parser.lexparser
BinaryHeadFinder() - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryHeadFinder
BinaryHeadFinder(HeadFinder) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryHeadFinder
BinaryHeapPriorityQueue<E> - Class in edu.stanford.nlp.util: PriorityQueue with explicit double priority values.
BinaryHeapPriorityQueue() - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
BinaryHeapPriorityQueue(int) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
BinaryHeapPriorityQueue(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
BinaryHeapPriorityQueue(MapFactory<E, BinaryHeapPriorityQueue.Entry<E>>, int) - Constructor for class edu.stanford.nlp.util.BinaryHeapPriorityQueue
BinaryRule - Class in edu.stanford.nlp.parser.lexparser: Binary rules (ints for parent, left and right children)
BinaryRule(int, int, int) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryRule: Create a new BinaryRule with the parent and children coded as ints.
BinaryRule(int, int, int, double) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryRule
BinaryRule(String, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.BinaryRule: Creates a BinaryRule from String s, assuming it was created using toString().
binaryScore - Variable in class edu.stanford.nlp.parser.dvparser.DVModel
binaryScoreIndex(String, String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
binaryTensors - Variable in class edu.stanford.nlp.sentiment.SentimentModel: 2Nx2NxN, where N is the size of the word vectors
binaryTensorSize - Variable in class edu.stanford.nlp.sentiment.SentimentModel: How many elements the binary transformation tensors have
binaryTransform - Variable in class edu.stanford.nlp.parser.dvparser.DVModel
binaryTransform - Variable in class edu.stanford.nlp.sentiment.SentimentModel: Nx2N+1, where N is the size of the word vectors
binaryTransformIndex(String, String) - Method in class edu.stanford.nlp.parser.dvparser.DVModel
binaryTransformSize - Variable in class edu.stanford.nlp.sentiment.SentimentModel: How many elements a transformation matrix has
BinaryTransition - Class in edu.stanford.nlp.parser.shiftreduce: Transition that makes a binary parse node in a partially finished tree.
BinaryTransition(String, BinaryTransition.Side) - Constructor for class edu.stanford.nlp.parser.shiftreduce.BinaryTransition
BinaryTransition.Side - Enum in edu.stanford.nlp.parser.shiftreduce
bind(String, Object) - Method in class edu.stanford.nlp.ling.tokensregex.Env
bind(String, SequencePattern) - Method in class edu.stanford.nlp.ling.tokensregex.Env
bind(Env) - Method in interface edu.stanford.nlp.ling.tokensregex.Env.Binder
bind(String, Object) - Method in class edu.stanford.nlp.semgraph.semgrex.Env
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
blacklist - Static variable in class edu.stanford.nlp.pipeline.StanfordCoreNLPServer
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.
BLANKET_NODE_ANON_PREFIX - Static variable in class edu.stanford.nlp.semgraph.SemanticGraphUtils
BLINK - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
Block<E> - Interface in edu.stanford.nlp.fsm
BLOCK - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer
block(String) - Static method in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.RobustTokenizer: parens
blockInitialize - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
blockTags - Static variable in class edu.stanford.nlp.process.StripTagsProcessor: Block-level HTML tags that are rendered with surrounding line breaks.
BLUE - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
BobChrisTreeNormalizer - Class in edu.stanford.nlp.trees: Normalizes trees in the way used in Manning and Carpenter 1997.
BobChrisTreeNormalizer() - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer
BobChrisTreeNormalizer(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.BobChrisTreeNormalizer
BobChrisTreeNormalizer.AOverAFilter - Class in edu.stanford.nlp.trees
BobChrisTreeNormalizer.EmptyFilter - Class in edu.stanford.nlp.trees
BOLD - Static variable in class edu.stanford.nlp.util.logging.Redwood.Util
booleanArrToByteArr(boolean[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
booleanArrToByteArr(boolean[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
booleanArrToByteArr(byte[], int, boolean[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
booleanFeatures - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
BooleanFunction(String, int) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
BooleanFunction(String, int, String) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions.BooleanFunction
BooleanLogRecordHandler - Class in edu.stanford.nlp.util.logging: A log message handler designed for filtering.
BooleanLogRecordHandler() - Constructor for class edu.stanford.nlp.util.logging.BooleanLogRecordHandler
BoundAction() - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BoundAction
BOUNDARY - Static variable in interface edu.stanford.nlp.parser.lexparser.Lexicon
BOUNDARY - Static variable in class edu.stanford.nlp.sequences.CoNLLDocumentReaderAndWriter
BOUNDARY_TAG - Static variable in interface edu.stanford.nlp.parser.lexparser.Lexicon
BoundaryRemover - Class in edu.stanford.nlp.parser.lexparser: Removes a boundary symbol (Lexicon.BOUNDARY_TAG or Lexicon.BOUNDARY), which is the rightmost daughter of a tree.
BoundaryRemover() - Constructor for class edu.stanford.nlp.parser.lexparser.BoundaryRemover
BOUNDED_RANGE - Static variable in class edu.stanford.nlp.ie.pascal.ISODateInstance
BoundedCostOrderedMap<K,V> - Class in edu.stanford.nlp.ling.tokensregex.matcher: Map that is sorted by cost.
BoundedCostOrderedMap(ToDoubleFunction<V>, int, double) - Constructor for class edu.stanford.nlp.ling.tokensregex.matcher.BoundedCostOrderedMap
box(int[]) - Static method in class edu.stanford.nlp.math.ArrayMath
box(double[]) - Static method in class edu.stanford.nlp.math.ArrayMath
BracketedNode(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
branch(RedwoodConfiguration.Thunk...) - Static method in class edu.stanford.nlp.util.logging.RedwoodConfiguration.Handlers: Send any incoming messages multiple ways.
BranchAction(Predicate<SequenceMatchResult<T>>, SequenceMatchAction<T>, SequenceMatchAction<T>) - Constructor for class edu.stanford.nlp.ling.tokensregex.SequenceMatchAction.BranchAction
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.coref.statistical.MaxMarginMentionRanker.Builder
build() - Method in class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor.Builder
build() - Method in class edu.stanford.nlp.coref.statistical.PairwiseModel.Builder
build() - Method in class edu.stanford.nlp.ie.NERFeatureFactory.FeatureCollector: Begin a new feature construction.
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() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
build() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
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(List<TypedDependency>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure.FromDependenciesFactory
build(List<TypedDependency>, TreeGraphNode) - Method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure.FromDependenciesFactory
BuildBinarizedDataset - Class in edu.stanford.nlp.sentiment
buildCharacterMapPerAnnotation - Variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
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
buildCoNLLXGrammaticalStructure(List<List<String>>) - Static method in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalStructure
buildCoNLLXGrammaticalStructure(List<List<String>>) - Static method in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalStructure
Builder(String, MetaFeatureExtractor) - Constructor for class edu.stanford.nlp.coref.statistical.MaxMarginMentionRanker.Builder
Builder() - Constructor for class edu.stanford.nlp.coref.statistical.MetaFeatureExtractor.Builder
Builder(String, MetaFeatureExtractor) - Constructor for class edu.stanford.nlp.coref.statistical.PairwiseModel.Builder
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
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain.CorefMention.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Edge.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.DependencyGraph.Node.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Entity.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.IndexedWord.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapIntString.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.MapStringString.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Mention.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Operator.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Polarity.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Relation.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.RelationTriple.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SentenceFragment.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Span.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.SpeakerInfo.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Timex.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token.Builder
buildPartial() - Method in class edu.stanford.nlp.pipeline.CoreNLPProtos.TokenLocation.Builder
buildQueryText(List<String>) - Static method in class edu.stanford.nlp.coref.data.Mention
buildQueryText(List<String>) - Static method in class edu.stanford.nlp.dcoref.Mention
buildRelationExtractorMerger(String[]) - Static method in class edu.stanford.nlp.ie.machinereading.ExtractorMerger
buildSaxInterface() - Method in class edu.stanford.nlp.process.TransformXML
buildStateIndex() - Method in class edu.stanford.nlp.parser.lexparser.SplittingGrammarExtractor
buildThreadPool(int) - Method in class edu.stanford.nlp.util.concurrent.InterruptibleMulticoreWrapper
buildThreadPool(int) - Method in class edu.stanford.nlp.util.concurrent.MulticoreWrapper
buildTrainBinarizer(Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
buildTrainingOptions(String, String[]) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser
buildTrainTransformer(Options) - Static method in class edu.stanford.nlp.parser.dvparser.DVParser
buildTrainTransformer(Options) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
buildTrainTransformer(Options, TreeAnnotatorAndBinarizer) - Static method in class edu.stanford.nlp.parser.lexparser.LexicalizedParser
buildUWM() - Method in class edu.stanford.nlp.parser.lexparser.BaseUnknownWordModelTrainer
buildUWM() - Method in class edu.stanford.nlp.parser.lexparser.GermanUnknownWordModelTrainer
builtEdges - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
builtHooks - Variable in class edu.stanford.nlp.parser.lexparser.BiLexPCFGParser
ByFirstPairComparator() - Constructor for class edu.stanford.nlp.util.Pair.ByFirstPairComparator
ByFirstReversePairComparator() - Constructor for class edu.stanford.nlp.util.Pair.ByFirstReversePairComparator
byFixedIndex(int) - Static method in enum edu.stanford.nlp.naturalli.NaturalLogicRelation
BySecondPairComparator() - Constructor for class edu.stanford.nlp.util.Pair.BySecondPairComparator
BySecondReversePairComparator() - Constructor for class edu.stanford.nlp.util.Pair.BySecondReversePairComparator
byteArrToAString(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToAString(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToAStringArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToAStringArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToAStringArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToBoolean(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToBooleanArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToBooleanArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToBooleanArr(byte[], int, boolean[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToChar(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToCharArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToCharArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToCharArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToDouble(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToDoubleArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray: This method allocates a new double[] to return, based on the size of the array b (namely b.length / 8 in size)
byteArrToDoubleArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToDoubleArr(byte[], int, double[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToFloat(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToFloatArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToFloatArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToFloatArr(byte[], int, float[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToInt(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToIntArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToIntArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToIntArr(byte[], int, int[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToLong(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToLongArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToLongArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToLongArr(byte[], int, long[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToShort(byte[], int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToShortArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToShortArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToShortArr(byte[], int, short[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToUString(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToUString(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToUStringArr(byte[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToUStringArr(byte[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
byteArrToUStringArr(byte[], int, String[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
ByteStreamGobbler - Class in edu.stanford.nlp.util: Stream Gobbler that read and write bytes (can be used to gobble byte based stdout from a process.exec into a file)
ByteStreamGobbler(InputStream, OutputStream) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
ByteStreamGobbler(String, InputStream, OutputStream) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
ByteStreamGobbler(String, InputStream, OutputStream, int) - Constructor for class edu.stanford.nlp.util.ByteStreamGobbler
byteValue() - Method in class edu.stanford.nlp.util.MutableDouble
byteValue() - Method in class edu.stanford.nlp.util.MutableInteger
byteValue() - Method in class edu.stanford.nlp.util.MutableLong
BZip2PipedOutputStream - Class in edu.stanford.nlp.io: Opens a outputstream for writing into a bzip2 file by piping into the bzip2 command.
BZip2PipedOutputStream(String) - Constructor for class edu.stanford.nlp.io.BZip2PipedOutputStream
BZip2PipedOutputStream(String, OutputStream) - Constructor for class edu.stanford.nlp.io.BZip2PipedOutputStream

C

C - Variable in class edu.stanford.nlp.classify.SVMLightClassifierFactory: C can be tuned using held-out set or cross-validation.
c - Variable in class edu.stanford.nlp.objectbank.ReaderIteratorFactory: The underlying Collection of input sources.
cache(Supplier<E>) - Static method in class edu.stanford.nlp.util.Lazy: Create a lazy value from the given provider, allowing the value stored in the lazy to be garbage collected if necessary.
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
calculateFeatureImportance(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
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 does 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
CALENDAR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
CalendarAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CalendarAnnotation
call() - Method in class edu.stanford.nlp.patterns.dep.ApplyDepPatterns
call() - Method in class edu.stanford.nlp.patterns.GetPatternsFromDataMultiClass.LabelWithSeedWords
call() - Method in class edu.stanford.nlp.patterns.surface.ApplyPatterns
call() - Method in class edu.stanford.nlp.patterns.surface.CreatePatterns.CreatePatternsThread
CALL_FUNCTION - Static variable in class edu.stanford.nlp.ling.tokensregex.types.ValueFunctions
callback(Object...) - Method in class edu.stanford.nlp.util.CallbackFunction
CallbackFunction - Class in edu.stanford.nlp.util: A callback function (along the lines of Berkeley optimization repo), which is currently used in the optimization package.
CallbackFunction() - Constructor for class edu.stanford.nlp.util.CallbackFunction
calls - Static variable in class edu.stanford.nlp.time.SUTimeSimpleParser
canAddArc(Object, Object, Object, Object) - Method in class edu.stanford.nlp.fsm.TransducerGraph
canApply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ArcStandard
canApply(Configuration, String) - Method in class edu.stanford.nlp.parser.nndep.ParsingSystem: Determine whether the given transition is legal for this configuration.
canChangeEncoding(String, String) - Method in class edu.stanford.nlp.international.arabic.pipeline.DefaultLexicalMapper
canChangeEncoding(String, String) - Method in interface edu.stanford.nlp.trees.treebank.Mapper: Indicates whether child can be converted to another encoding.
CandidatePartOfSpeechAnnotation() - Constructor for class edu.stanford.nlp.parser.common.ParserAnnotations.CandidatePartOfSpeechAnnotation
CandidatePhrase - Class in edu.stanford.nlp.patterns
canonicalEntityMention() - Method in class edu.stanford.nlp.pipeline.CoreEntityMention: return the canonical entity mention for this entity mention
CANONICALENTITYMENTIONINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.NERMention
CanonicalEntityMentionIndexAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CanonicalEntityMentionIndexAnnotation
CANONICALMENTION_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
CanonicalMentionAnnotation() - Constructor for class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator.CanonicalMentionAnnotation
CANONICALMENTIONBEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
CanonicalMentionBeginAnnotation() - Constructor for class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator.CanonicalMentionBeginAnnotation
CANONICALMENTIONEND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Quote
CanonicalMentionEndAnnotation() - Constructor for class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator.CanonicalMentionEndAnnotation
canonicalMentionMapFromEntityMentions(List<CoreMap>) - Method in class edu.stanford.nlp.ie.KBPBasicSpanishCorefSystem
canonicalName - Variable in enum edu.stanford.nlp.ie.KBPRelationExtractor.RelationType: A canonical name for this relation type.
canonicalObject - Variable in class edu.stanford.nlp.ie.util.RelationTriple: The object (third argument) of this triple, in its canonical mention (i.e., coref resolved).
canonicalSpeaker() - Method in class edu.stanford.nlp.pipeline.CoreQuote: retrieve the text of the canonical speaker
canonicalSpeakerCharOffsets() - Method in class edu.stanford.nlp.pipeline.CoreQuote: retrieve the character offsets of the canonical speaker
canonicalSpeakerEntityMention() - Method in class edu.stanford.nlp.pipeline.CoreQuote: retrieve the entity mention corresponding to the canonical speaker if there is one
canonicalSpeakerTokens() - Method in class edu.stanford.nlp.pipeline.CoreQuote: retrieve the tokens of the canonical speaker
canonicalSubject - Variable in class edu.stanford.nlp.ie.util.RelationTriple: The subject (first argument) of this triple, in its canonical mention (i.e., coref resolved)
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.
cardinality - Variable in enum edu.stanford.nlp.ie.KBPRelationExtractor.RelationType: The cardinality of this entity.
CASE - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: 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_MARKER - Static variable in class edu.stanford.nlp.trees.UniversalEnglishGrammaticalRelations: The "prepositional modifier" grammatical relation.
CASE_OTHER - Static variable in class edu.stanford.nlp.ie.machinereading.domains.ace.reader.AceToken
cased() - Method in class edu.stanford.nlp.simple.Document: Make this document case sensitive.
cased() - Method in class edu.stanford.nlp.simple.Sentence: Make this sentence case sensitive.
casedDistSim - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags: Whether to (not) lowercase tokens before looking them up in distsim lexicon.
CaseExpression(Env) - Method in class edu.stanford.nlp.ling.tokensregex.parser.TokenSequenceParser
CaseExpression(List<Pair<Expression, Expression>>, Expression) - Constructor for class edu.stanford.nlp.ling.tokensregex.types.Expressions.CaseExpression
caseInsensitive - Variable in class edu.stanford.nlp.ling.tokensregex.PhraseTable
caseless() - Method in class edu.stanford.nlp.simple.Document: Make this document caseless.
caseless() - Method in class edu.stanford.nlp.simple.Sentence: Make this sentence caseless.
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
CategoricalFeatureExtractor - Class in edu.stanford.nlp.coref.neural: Extracts string matching, speaker, distance, and document genre features from mentions.
CategoricalFeatureExtractor(Properties, Dictionaries) - Constructor for class edu.stanford.nlp.coref.neural.CategoricalFeatureExtractor
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).
CATEGORY_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
categoryAndFunction(String) - Method in class edu.stanford.nlp.trees.AbstractTreebankLanguagePack: Returns the syntactic category and 'function' of a String.
categoryAndFunction(String) - Method in interface edu.stanford.nlp.trees.TreebankLanguagePack: Returns the syntactic category and 'function' of a String.
CategoryAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryAnnotation
CategoryFunctionalTagAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CategoryFunctionalTagAnnotation
CategoryWordTag - Class in edu.stanford.nlp.ling: A CategoryWordTag object acts as a complex Label which contains a category, a head word, and a tag.
CategoryWordTag() - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
CategoryWordTag(String) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag: This one argument constructor sets just the value.
CategoryWordTag(String, String, String) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag
CategoryWordTag(Label) - Constructor for class edu.stanford.nlp.ling.CategoryWordTag: Creates a new CategoryWordTag label from an existing label.
CategoryWordTagFactory - Class in edu.stanford.nlp.ling: A CategoryWordTagFactory is a factory that makes a Label which is a CategoryWordTag triplet.
CategoryWordTagFactory() - Constructor for class edu.stanford.nlp.ling.CategoryWordTagFactory
CatErrorEval(String) - Constructor for class edu.stanford.nlp.parser.metrics.AbstractEval.CatErrorEval
CBEval(String, boolean) - Constructor for class edu.stanford.nlp.parser.metrics.Evalb.CBEval
cCommands(Tree, Tree) - Method in class edu.stanford.nlp.trees.Tree: Given nodes t1 and t2 which are dominated by this node, returns true iff t1 c-commands t2.
ccompObjVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns
ccompVerbRegex - Static variable in class edu.stanford.nlp.trees.EnglishPatterns: A list of verbs where the answer to a question involving that verb would be a ccomp.
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
CENT - Static variable in class edu.stanford.nlp.ie.qe.Units.Currencies
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<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
CHAINID_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.CorefChain
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.
changeScore(double) - Method in class edu.stanford.nlp.naturalli.SentenceFragment: Changes the score of this fragment in place.
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).
CHAPTER_BREAK - Variable in class edu.stanford.nlp.quoteattribution.ChapterAnnotator
ChapterAnnotation() - Constructor for class edu.stanford.nlp.quoteattribution.ChapterAnnotator.ChapterAnnotation
ChapterAnnotator - Class in edu.stanford.nlp.quoteattribution: Created by mjfang on 12/18/16.
ChapterAnnotator() - Constructor for class edu.stanford.nlp.quoteattribution.ChapterAnnotator
ChapterAnnotator.ChapterAnnotation - Class in edu.stanford.nlp.quoteattribution
CHAPTERINDEX_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
CHARACTER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Document
CHARACTER_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
characterMap - Variable in class edu.stanford.nlp.quoteattribution.Sieves.Sieve
characterOffsetBegin() - Method in class edu.stanford.nlp.simple.Sentence: The character offset of each token in the sentence, as per CoreLabel.beginPosition().
characterOffsetBegin(int) - Method in class edu.stanford.nlp.simple.Sentence: The character offset of the given index in the sentence.
characterOffsetBegin() - Method in class edu.stanford.nlp.simple.Token
CHARACTEROFFSETBEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
CharacterOffsetBeginAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetBeginAnnotation
characterOffsetEnd() - Method in class edu.stanford.nlp.simple.Sentence: The end character offset of each token in the sentence, as per CoreLabel.endPosition().
characterOffsetEnd(int) - Method in class edu.stanford.nlp.simple.Sentence: The end character offset of the given index in the sentence.
characterOffsetEnd() - Method in class edu.stanford.nlp.simple.Token
CHARACTEROFFSETEND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Sentence
CharacterOffsetEndAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharacterOffsetEndAnnotation
characters(char[], int, int) - Method in class edu.stanford.nlp.process.TransformXML.SAXInterface
Characters - Class in edu.stanford.nlp.util: Character-level utilities.
CHARACTERS_FILE - Static variable in class edu.stanford.nlp.pipeline.QuoteAttributionAnnotator
CharactersAnnotation() - Constructor for class edu.stanford.nlp.ling.SegmenterCoreAnnotations.CharactersAnnotation
CharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.CharAnnotation
charArrToByteArr(char[]) - Static method in class edu.stanford.nlp.util.ConvertByteArray
charArrToByteArr(char[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
charArrToByteArr(byte[], int, char[], int, int) - Static method in class edu.stanford.nlp.util.ConvertByteArray
CHARBEGIN_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
CHAREND_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Section
charHalfWindow - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
CharniakParser - Class in edu.stanford.nlp.parser.charniak: Runs the Charniak parser via the 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.
charOffsets - Variable in class edu.stanford.nlp.ling.tokensregex.MatchedExpression: Character offsets (relative to original text).
charOffsets() - Method in class edu.stanford.nlp.pipeline.CoreEntityMention: char offsets of mention
charOffsets() - Method in class edu.stanford.nlp.pipeline.CoreSentence: char offsets of mention
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.coref.hybrid.sieve.DeterministicCorefSieve
checkEntityMatch(Document, CorefCluster, CorefCluster, Dictionaries, Set<Mention>) - Method in class edu.stanford.nlp.coref.hybrid.sieve.NameMatch
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
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.
checkForInterrupt() - Static method in class edu.stanford.nlp.coref.CorefUtils
checkGradient - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
checkMemory(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
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.
checkStatus(URL) - Method in class edu.stanford.nlp.pipeline.StanfordCoreNLPClient: Return true if the referenced server is alive and returns a non-error response code.
checkTime(Properties) - Static method in class edu.stanford.nlp.coref.hybrid.HybridCorefProperties
checkTreeBranching(Tree) - Static method in class edu.stanford.nlp.parser.shiftreduce.ShiftReduceParser: If an internal node goes directly to a preterminal, that is an illegal tree.
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
CHILD_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.ParseTree
childFilteredEval(String, boolean, TreebankLanguagePack, String) - Static method in class edu.stanford.nlp.parser.metrics.FilteredEval: Returns an eval which is good for counting the attachment of specific node types.
childPairs(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns a list of pairs of a relation name and the child IndexedFeatureLabel that bears that relation.
childRelns(IndexedWord) - Method in class edu.stanford.nlp.semgraph.SemanticGraph: Returns a list of relations which this node has with its children.
children - Variable in class edu.stanford.nlp.ling.tokensregex.matcher.TrieMap: Child tries
children() - Method in class edu.stanford.nlp.trees.LabeledScoredTreeNode: Returns an array of children for the current node, or null if it is a leaf.
children() - Method in class edu.stanford.nlp.trees.SimpleTree: Returns an array of children for the current node, or null if it is a leaf.
children() - Method in class edu.stanford.nlp.trees.Tree: Returns an array of children for the current node.
children - Variable in class edu.stanford.nlp.trees.TreeGraphNode: Children of this node.
children() - Method in class edu.stanford.nlp.trees.TreeGraphNode: Returns an array of the children of this node.
children() - Method in class edu.stanford.nlp.util.logging.Redwood.RecordHandlerTree
ChildrenAnnotation() - Constructor for class edu.stanford.nlp.time.TimeExpression.ChildrenAnnotation
childTab - Variable in class edu.stanford.nlp.parser.ui.TreeJPanel.WidthResult
CHINESE - Static variable in class edu.stanford.nlp.swing.FontDetector
CHINESE_PROPERTIES - Static variable in class edu.stanford.nlp.pipeline.LanguageInfo
Chinese_VALUE - Static variable in enum edu.stanford.nlp.pipeline.CoreNLPProtos.Language: Chinese = 3;
CHINESECHAR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
ChineseCharacterBasedLexicon - Class in edu.stanford.nlp.parser.lexparser
ChineseCharacterBasedLexicon(ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseCharacterBasedLexicon
ChineseCharAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseCharAnnotation
ChineseCollinizer - Class in edu.stanford.nlp.trees.international.pennchinese: Performs collinization operations on Chinese trees similar to those for English Namely: strips all functional & automatically-added tags strips all punctuation merges PRN and ADVP eliminates ROOT (note that there are a few non-unary ROOT nodes; these are not eliminated)
ChineseCollinizer(ChineseTreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
ChineseCollinizer(ChineseTreebankLanguagePack, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseCollinizer
chineseColonAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseCommaAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseDashAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
ChineseDictionary - Class in edu.stanford.nlp.wordseg: This class provides a main method that loads various dictionaries, and saves them in a serialized version, and runtime compiles them into a word list used as a feature in the segmenter.
ChineseDictionary(String) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
ChineseDictionary(String[]) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
ChineseDictionary(String[], ChineseDocumentToSentenceProcessor) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
ChineseDictionary(String, ChineseDocumentToSentenceProcessor, boolean) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary: The first argument can be one file path, or multiple files separated by commas.
ChineseDictionary(String[], ChineseDocumentToSentenceProcessor, boolean) - Constructor for class edu.stanford.nlp.wordseg.ChineseDictionary
ChineseDocumentToSentenceProcessor - Class in edu.stanford.nlp.process: Convert a Chinese Document into a List of sentence Strings.
ChineseDocumentToSentenceProcessor() - Constructor for class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor
ChineseDocumentToSentenceProcessor(String) - Constructor for class edu.stanford.nlp.process.ChineseDocumentToSentenceProcessor
chineseDouHaoAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseEndSentenceAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
ChineseEnglishWordMap - Class in edu.stanford.nlp.trees.international.pennchinese: A class for mapping Chinese words to English.
ChineseEnglishWordMap() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: Make a ChineseEnglishWordMap with a default CEDict path.
ChineseEnglishWordMap(String) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: Make a ChineseEnglishWordMap
ChineseEnglishWordMap(String, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap: Make a ChineseEnglishWordMap
ChineseEnglishWordMap(String, String, String, String) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
ChineseEnglishWordMap(String, String, String, String, boolean) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEnglishWordMap
ChineseEscaper - Class in edu.stanford.nlp.trees.international.pennchinese: An Escaper for Chinese normalization to match Treebank.
ChineseEscaper() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseEscaper
ChineseGrammaticalRelations - Class in edu.stanford.nlp.trees.international.pennchinese: ChineseGrammaticalRelations is a set of GrammaticalRelation objects for the Chinese language.
ChineseGrammaticalStructure - Class in edu.stanford.nlp.trees.international.pennchinese: A GrammaticalStructure for Chinese.
ChineseGrammaticalStructure(Tree) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure: Construct a new GrammaticalStructure from an existing parse tree.
ChineseGrammaticalStructure(Tree, Predicate<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
ChineseGrammaticalStructure(Tree, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
ChineseGrammaticalStructure(Tree, Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure
ChineseGrammaticalStructure(List<TypedDependency>, TreeGraphNode) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructure: Used for postprocessing CoNLL X dependencies
ChineseGrammaticalStructure.FromDependenciesFactory - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalStructureFactory - Class in edu.stanford.nlp.trees.international.pennchinese
ChineseGrammaticalStructureFactory() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
ChineseGrammaticalStructureFactory(Predicate<String>) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
ChineseGrammaticalStructureFactory(Predicate<String>, HeadFinder) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalStructureFactory
ChineseHeadFinder - Class in edu.stanford.nlp.trees.international.pennchinese: HeadFinder for the Penn Chinese Treebank.
ChineseHeadFinder() - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseHeadFinder
ChineseHeadFinder(TreebankLanguagePack) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.ChineseHeadFinder
ChineseHeadMatch - Class in edu.stanford.nlp.coref.hybrid.sieve
ChineseHeadMatch() - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.ChineseHeadMatch
ChineseHeadMatch(Properties) - Constructor for class edu.stanford.nlp.coref.hybrid.sieve.ChineseHeadMatch
ChineseIsSegmentedAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseIsSegmentedAnnotation
chineseLeftParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseLeftQuoteMarkAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
ChineseLexicon - Class in edu.stanford.nlp.parser.lexparser: A lexicon class for Chinese.
ChineseLexicon(Options, ChineseTreebankParserParams, Index<String>, Index<String>) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexicon
ChineseLexiconAndWordSegmenter - Class in edu.stanford.nlp.parser.lexparser: This class lets you train a lexicon and segmenter at the same time.
ChineseLexiconAndWordSegmenter(ChineseLexicon, WordSegmenter) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter
ChineseLexiconAndWordSegmenter(String, Options) - Constructor for class edu.stanford.nlp.parser.lexparser.ChineseLexiconAndWordSegmenter: Construct a new ChineseLexiconAndWordSegmenter.
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
ChineseNumberSequenceClassifier - Class in edu.stanford.nlp.ie.regexp: A simple rule-based classifier that detects NUMBERs in a sequence of Chinese tokens.
ChineseNumberSequenceClassifier() - Constructor for class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
ChineseNumberSequenceClassifier(boolean) - Constructor for class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
ChineseNumberSequenceClassifier(Properties, boolean, Properties) - Constructor for class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier
ChineseOrigSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseOrigSegAnnotation
chineseOtherAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
chineseParenthesisAcceptFilter() - Static method in class edu.stanford.nlp.trees.international.pennchinese.ChineseTreebankLanguagePack
ChineseQuantifiableEntityNormalizer - Class in edu.stanford.nlp.ie: A Chinese correspondence of the QuantifiableEntityNormalizer that normalizes NUMBER, DATE, TIME, MONEY, PERCENT and ORDINAL amounts expressed in Chinese.
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
CHINESESEG_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
ChineseSegAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChineseSegAnnotation
ChineseSegmenterAnnotator - Class in edu.stanford.nlp.pipeline: This class will add segmentation information to an Annotation.
ChineseSegmenterAnnotator() - Constructor for class edu.stanford.nlp.pipeline.ChineseSegmenterAnnotator
ChineseSegmenterAnnotator(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 smoothes 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
ChineseTreebankLanguagePack - Class in edu.stanford.nlp.trees.international.pennchinese: Language pack for the UPenn/Colorado/Brandeis 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
CHINESEXMLCHAR_FIELD_NUMBER - Static variable in class edu.stanford.nlp.pipeline.CoreNLPProtos.Token
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' or '\r\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' or '\r\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<CandidatePhrase>, TwoDimensionalCounter<CandidatePhrase, E>, Counter<CandidatePhrase>, Set<CandidatePhrase>, double) - Method in class edu.stanford.nlp.patterns.ScorePhrases
CHTBTokenizer - Class in edu.stanford.nlp.trees.international.pennchinese: A simple tokenizer for tokenizing Penn Chinese Treebank files.
CHTBTokenizer(Reader) - Constructor for class edu.stanford.nlp.trees.international.pennchinese.CHTBTokenizer: Constructs a new tokenizer from a Reader.
ChunkAnnotation() - Constructor for class edu.stanford.nlp.ling.CoreAnnotations.ChunkAnnotation
ChunkAnnotationUtils - Class in edu.stanford.nlp.pipeline: Utility functions for annotating chunks
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
CL_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.ChineseGrammaticalRelations: The "clause modifier of a preposition" grammatical relation.
classBias - Variable in class edu.stanford.nlp.sequences.SeqClassifierFlags
ClassComparator() - Constructor for class edu.stanford.nlp.patterns.surface.Token.ClassComparator
ClassicCounter<E> - Class in edu.stanford.nlp.stats: A specialized kind of hash table (or map) for storing numeric counts for objects.
ClassicCounter() - Constructor for class edu.stanford.nlp.stats.ClassicCounter: Constructs a new (empty) Counter backed by a HashMap.
ClassicCounter(int) - Constructor for class edu.stanford.nlp.stats.ClassicCounter
ClassicCounter(MapFactory<E, MutableDouble>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter: Pass in a MapFactory and the map it vends will back your Counter.
ClassicCounter(MapFactory<E, MutableDouble>, int) - Constructor for class edu.stanford.nlp.stats.ClassicCounter: Pass in a MapFactory and the map it vends will back your Counter.
ClassicCounter(Counter<E>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter: Constructs a new Counter with the contents of the given Counter.
ClassicCounter(Collection<E>) - Constructor for class edu.stanford.nlp.stats.ClassicCounter: Constructs a new Counter by counting the elements in the given Collection.
CLASSIFICATION_MODEL - Static variable in class edu.stanford.nlp.coref.statistical.StatisticalCorefTrainer
classificationModelPath(Properties) - Static method in class edu.stanford.nlp.coref.statistical.StatisticalCorefProperties
classificationScores - Variable in class edu.stanford.nlp.coref.statistical.ClustererDataLoader.ClustererDoc
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.coref.statistical.PairwiseModel
classifier - Variable in class edu.stanford.nlp.ie.KBPStatisticalExtractor: The implementing classifier of this extractor.
classifier - Variable in class edu.stanford.nlp.ie.machinereading.BasicRelationExtractor
Classifier - Class in edu.stanford.nlp.parser.nndep: Neural network classifier which powers a transition-based dependency parser.
Classifier(Config, double[][], double[][], double[], double[][], List<Integer>) - Constructor for class edu.stanford.nlp.parser.nndep.Classifier: Instantiate a classifier with previously learned parameters in order to perform new inference.
Classifier(Config, Dataset, double[][], double[][], double[], double[][], List<Integer>) - Constructor for class edu.stanford.nlp.parser.nndep.Classifier: Instantiate a classifier with training data and randomly initialized parameter matrices in order to begin training.
Classifier.Cost - Class in edu.stanford.nlp.parser.nndep: Describes the result of feedforward + backpropagation through the neural network for the batch provided to a `CostFunction.`
CLASSIFIER_MODIFIER - Static variable in class edu.stanford.nlp.trees.international.pennchinese.UniversalChineseGrammaticalRelations: The "classifier marker" 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(Properties, ClassifierCombiner.CombinationMode, String...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner: Loads a series of base classifiers from the paths specified using the Properties specified.
ClassifierCombiner(ClassifierCombiner.CombinationMode, String...) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner: Loads a series of base classifiers from the paths specified using the Properties 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.
ClassifierCombiner(ObjectInputStream, Properties) - Constructor for class edu.stanford.nlp.ie.ClassifierCombiner
ClassifierCreator<L,F> - Interface in edu.stanford.nlp.classify: Creates a classifier with given weights
ClassifierFactory<L,F,C extends Classifier<L,F>> - Interface in edu.stanford.nlp.classify: A simple interface for training a Classifier from a Dataset of training examples.
classifierFactory - Variable in class edu.stanford.nlp.naturalli.ClauseSplitterSearchProblem.TrainingOptions
classifierType - Variable in class edu.stanford.nlp.coref.hybrid.sieve.Sieve
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(KBPRelationExtractor.KBPInput) - Method in class edu.stanford.nlp.ie.KBPEnsembleExtractor
classify(KBPRelationExtractor.KBPInput) - Method in interface edu.stanford.nlp.ie.KBPRelationExtractor: Classify the given sentence into the relation it expresses, with the associated confidence.
classify(KBPRelationExtractor.KBPInput) - Method in class edu.stanford.nlp.ie.KBPSemgrexExtractor
classify(KBPRelationExtractor.KBPInput) - Method in class edu.stanford.nlp.ie.KBPStatisticalExtractor: Score the given input, returning both the classification decision and the probability of that decision.
classify(KBPRelationExtractor.KBPInput) - Method in class edu.stanford.nlp.ie.KBPTokensregexExtractor
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<IN>) - Method in class edu.stanford.nlp.ie.PresetSequenceClassifier
classify(List<CoreLabel>) - Method in class edu.stanford.nlp.ie.regexp.ChineseNumberSequenceClassifier: Use a set of heuristic rules to assign NER tags to tokens.
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 text file, run the classifier on it, and then print the answers to stdout (with timing to stderr).
classifyAndWriteAnswers(String, 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, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Load a test file, run the classifier on it, and then print the answers to stdout (with timing to stderr).
classifyAndWriteAnswers(String, OutputStream, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: If the flag outputEncoding is defined, the output is written in that character encoding, otherwise in the system default character encoding.
classifyAndWriteAnswers(String, String, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
classifyAndWriteAnswers(Collection<List<IN>>, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
classifyAndWriteAnswers(Collection<List<IN>>, PrintWriter, DocumentReaderAndWriter<IN>, boolean) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier
classifyAndWriteAnswersKBest(String, int, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Load a test file, run the classifier on it, and then print the answers to stdout (with timing to stderr).
classifyAndWriteAnswersKBest(ObjectBank<List<IN>>, int, PrintWriter, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Run the classifier on the documents in an ObjectBank, and print the answers to a given PrintWriter (with timing to stderr).
classifyAndWriteViterbiSearchGraph(String, String, DocumentReaderAndWriter<IN>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Load a test file, run the classifier on it, and then write a Viterbi search graph for each sequence.
classifyFile(String) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Classify the contents of a file.
classifyFilesAndWriteAnswers(Collection<File>) - Method in class edu.stanford.nlp.ie.AbstractSequenceClassifier: Run the classifier on a collection of text files.
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.AbstractSequenceClassifi