Index (Apache OpenNLP Tools 2.5.1 API)

A B C D E F G H I J L M N O P Q R S T U V W X
Alle Klassen und Schnittstellen|Alle Packages|Konstantenfeldwerte|Serialisierte Form

A

AbstractBottomUpParser - Klasse in opennlp.tools.parser: Abstract class which contains code to tag and chunk parses for bottom up parsing and leaves implementation of advancing parses and completing parses to extend class.
AbstractBottomUpParser(POSTagger, Chunker, HeadRules, int, double) - Konstruktor für Klasse opennlp.tools.parser.AbstractBottomUpParser
AbstractContextGenerator - Klasse in opennlp.tools.parser: Abstract class containing many of the methods used to generate contexts for parsing.
AbstractContextGenerator() - Konstruktor für Klasse opennlp.tools.parser.AbstractContextGenerator
AbstractDataIndexer - Klasse in opennlp.tools.ml.model: Abstract DataIndexer implementation for collecting event and context counts used in training.
AbstractDataIndexer() - Konstruktor für Klasse opennlp.tools.ml.model.AbstractDataIndexer
AbstractEventModelSequenceTrainer - Klasse in opennlp.tools.ml: A basic EventModelSequenceTrainer implementation that processes events.
AbstractEventModelSequenceTrainer() - Konstruktor für Klasse opennlp.tools.ml.AbstractEventModelSequenceTrainer
AbstractEventStream<T> - Klasse in opennlp.tools.util: A base ObjectStream implementation for events.
AbstractEventStream(ObjectStream<T>) - Konstruktor für Klasse opennlp.tools.util.AbstractEventStream: Initializes an AbstractEventStream with a sample Iterator.
AbstractEventTrainer - Klasse in opennlp.tools.ml: A basic EventTrainer implementation.
AbstractEventTrainer() - Konstruktor für Klasse opennlp.tools.ml.AbstractEventTrainer
AbstractEventTrainer(TrainingParameters) - Konstruktor für Klasse opennlp.tools.ml.AbstractEventTrainer
AbstractMLModelWriter - Klasse in opennlp.tools.ml
AbstractMLModelWriter() - Konstruktor für Klasse opennlp.tools.ml.AbstractMLModelWriter
AbstractModel - Klasse in opennlp.tools.ml.model: A basic MaxentModel implementation.
AbstractModel(Context[], String[], String[]) - Konstruktor für Klasse opennlp.tools.ml.model.AbstractModel: Initializes an AbstractModel.
AbstractModel.ModelType - Enum-Klasse in opennlp.tools.ml.model
AbstractModelReader - Klasse in opennlp.tools.ml.model: An abstract, basic implementation of a model reader.
AbstractModelReader(File) - Konstruktor für Klasse opennlp.tools.ml.model.AbstractModelReader: Initializes a AbstractModelReader via a File.
AbstractModelReader(DataReader) - Konstruktor für Klasse opennlp.tools.ml.model.AbstractModelReader: Initializes a AbstractModelReader via a DataReader.
AbstractModelWriter - Klasse in opennlp.tools.ml.model: An abstract, basic implementation of a model writer.
AbstractModelWriter() - Konstruktor für Klasse opennlp.tools.ml.model.AbstractModelWriter
AbstractObjectStream<T> - Klasse in opennlp.tools.util: A base ObjectStream implementation.
AbstractParserEventStream - Klasse in opennlp.tools.parser: Abstract class extended by parser event streams which perform tagging and chunking.
AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Konstruktor für Klasse opennlp.tools.parser.AbstractParserEventStream
AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Konstruktor für Klasse opennlp.tools.parser.AbstractParserEventStream
AbstractSampleStreamFactory<T,P> - Klasse in opennlp.tools.formats: Base class for sample stream factories.
AbstractToSentenceSampleStream<T> - Klasse in opennlp.tools.formats.convert
AbstractTrainer - Klasse in opennlp.tools.ml
AbstractTrainer() - Konstruktor für Klasse opennlp.tools.ml.AbstractTrainer
AbstractTrainer(TrainingParameters) - Konstruktor für Klasse opennlp.tools.ml.AbstractTrainer: Initializes a AbstractTrainer via TrainingParameters.
AbstractXmlFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
AdaptiveFeatureGenerator - Schnittstelle in opennlp.tools.util.featuregen: An interface for generating features for name entity identification and for updating document level contexts.
ADChunkSampleStream - Klasse in opennlp.tools.formats.ad: Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese Chunker training.
ADChunkSampleStream(InputStreamFactory, String) - Konstruktor für Klasse opennlp.tools.formats.ad.ADChunkSampleStream: Instantiates a ADChunkSampleStream stream from an InputStreamFactory.
ADChunkSampleStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.formats.ad.ADChunkSampleStream: Instantiates a ADChunkSampleStream stream from ObjectStream<String>, that could be a PlainTextByLineStream object.
ADChunkSampleStreamFactory - Klasse in opennlp.tools.formats.ad: A Factory to create a Arvores Deitadas ChunkStream from the command line utility.
add(char) - Methode in Klasse opennlp.tools.stemmer.PorterStemmer: Add a character to the word being stemmed.
add(double) - Methode in Klasse opennlp.tools.util.eval.Mean: Adds a value to the arithmetic mean.
add(double, long) - Methode in Klasse opennlp.tools.util.eval.Mean: Adds a value count times to the arithmetic mean.
add(CharSequence) - Methode in Klasse opennlp.tools.ngram.NGramCharModel: Adds an ngram.
add(CharSequence, int, int) - Methode in Klasse opennlp.tools.ngram.NGramCharModel: Adds a CharSequence that will be ngrammed into chars.
add(CharSequence, int, int) - Methode in Klasse opennlp.tools.ngram.NGramModel: Adds character NGrams to the current instance.
add(String...) - Methode in Klasse opennlp.tools.languagemodel.NGramLanguageModel: Adds further tokens.
add(String, double) - Methode in Klasse opennlp.tools.util.Sequence: Adds an outcome and probability to this sequence.
add(IrishSentenceBankDocument.IrishSentenceBankSentence) - Methode in Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument
add(Parse, HeadRules) - Methode in Klasse opennlp.tools.parser.Parse
add(StringList) - Methode in Klasse opennlp.tools.ngram.NGramModel: Adds one NGram, if it already exists the count increase by one.
add(StringList, int, int) - Methode in Klasse opennlp.tools.ngram.NGramModel: Adds NGrams up to the specified length to the current instance.
addCutoffAndIterations(Map<String, String>, int, int) - Statische Methode in Klasse opennlp.tools.util.model.ModelUtil: Adds cutoff and iterations to manifestInfoEntries.
addElement(ADSentenceStream.SentenceParser.TreeElement) - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
addFeatureGenerator(AdaptiveFeatureGenerator) - Methode in Klasse opennlp.tools.namefind.DefaultNameContextGenerator
addFeatureGenerator(AdaptiveFeatureGenerator) - Methode in Schnittstelle opennlp.tools.namefind.NameContextGenerator: Adds a feature generator.
addIn(double) - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbability: Compounds the existing probability mass on the label with the new probability passed in to the method.
addIn(double) - Methode in Klasse opennlp.tools.ml.naivebayes.Probability: Compounds the existing probability mass on the label with the new probability passed in to the method.
addIn(T, double, int) - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbabilities: Compounds the existing probability mass on the label t with the new probability passed in to the method.
addIn(T, double, int) - Methode in Klasse opennlp.tools.ml.naivebayes.Probabilities: Compounds the existing probability mass on the label t with the new probability passed in to the method.
additionalContext(String[], Map<String, String>) - Statische Methode in Klasse opennlp.tools.namefind.NameFinderEventStream: Generated previous decision features for each token based on contents of the specified prevMap.
AdditionalContextFeatureGenerator - Klasse in opennlp.tools.util.featuregen: The AdditionalContextFeatureGenerator generates the context from the passed in additional context.
AdditionalContextFeatureGenerator() - Konstruktor für Klasse opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
additionalData() - Methode in Datensatzklasse opennlp.tools.util.TokenTag: Gibt den Wert für die Datensatzkomponente additionalData zurück.
addNames(String, Span[], Parse[]) - Statische Methode in Klasse opennlp.tools.parser.Parse: Utility method to insert named entities.
addNextPunctuation(Parse) - Methode in Klasse opennlp.tools.parser.Parse: Designates that the specified punctuation follows this parse.
addPreviousPunctuation(Parse) - Methode in Klasse opennlp.tools.parser.Parse: Designates that the specified punctuation should is prior to this parse.
addProb(double) - Methode in Klasse opennlp.tools.parser.Parse: Adds the specified logProb to this current log for this parse.
adjoin(Parse, HeadRules) - Methode in Klasse opennlp.tools.parser.Parse: Sister adjoins this node's last child and the specified sister node and returns their new parent node.
adjoinRoot(Parse, HeadRules, int) - Methode in Klasse opennlp.tools.parser.Parse
ADNameSampleStream - Klasse in opennlp.tools.formats.ad: Parser for Floresta Sita(c)tica Arvores Deitadas corpus, output to for the Portuguese NER training.
ADNameSampleStream(InputStreamFactory, String, boolean) - Konstruktor für Klasse opennlp.tools.formats.ad.ADNameSampleStream: Veraltet, zur Entfernung: Dieses API-Element wird in einer zukünftigen Version entfernt.
ADNameSampleStream(ObjectStream<String>, boolean) - Konstruktor für Klasse opennlp.tools.formats.ad.ADNameSampleStream: Initializes a new ADNameSampleStream stream from a ObjectStream<String>, that could be a PlainTextByLineStream object.
ADNameSampleStreamFactory - Klasse in opennlp.tools.formats.ad: A Factory to create a Arvores Deitadas NameSampleDataStream from the command line utility.
ADPOSSampleStream - Klasse in opennlp.tools.formats.ad: Note: Do not use this class, internal use only!
ADPOSSampleStream(InputStreamFactory, String, boolean, boolean) - Konstruktor für Klasse opennlp.tools.formats.ad.ADPOSSampleStream: Creates a new POSSample stream from an InputStreamFactory
ADPOSSampleStream(ObjectStream<String>, boolean, boolean) - Konstruktor für Klasse opennlp.tools.formats.ad.ADPOSSampleStream: Creates a new ADPOSSampleStream stream from a ObjectStream<String>, that could be a PlainTextByLineStream object.
ADPOSSampleStreamFactory - Klasse in opennlp.tools.formats.ad: Note: Do not use this class, internal use only!
ADSentenceSampleStream - Klasse in opennlp.tools.formats.ad: Note: Do not use this class, internal use only!
ADSentenceSampleStream(InputStreamFactory, String, boolean) - Konstruktor für Klasse opennlp.tools.formats.ad.ADSentenceSampleStream: Initializes a new ADSentenceSampleStream.
ADSentenceSampleStream(ObjectStream<String>, boolean) - Konstruktor für Klasse opennlp.tools.formats.ad.ADSentenceSampleStream: Initializes a new ADSentenceSampleStream from a ObjectStream<String>, that could be a PlainTextByLineStream object.
ADSentenceSampleStreamFactory - Klasse in opennlp.tools.formats.ad: Note: Do not use this class, internal use only!
ADSentenceStream - Klasse in opennlp.tools.formats.ad: Stream filter which merges text lines into sentences, following the Arvores Deitadas syntax.
ADSentenceStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.formats.ad.ADSentenceStream
ADSentenceStream.Sentence - Klasse in opennlp.tools.formats.ad
ADSentenceStream.SentenceParser - Klasse in opennlp.tools.formats.ad: Parses a sample of AD corpus.
ADSentenceStream.SentenceParser.Leaf - Klasse in opennlp.tools.formats.ad: Represents the AD leaf
ADSentenceStream.SentenceParser.Node - Klasse in opennlp.tools.formats.ad: Represents the AD node
ADSentenceStream.SentenceParser.TreeElement - Klasse in opennlp.tools.formats.ad: Represents a tree element, Node or Leaf
ADTokenSampleStreamFactory - Klasse in opennlp.tools.formats.ad: Note: Do not use this class, internal use only!
AggregateCharSequenceNormalizer - Klasse in opennlp.tools.util.normalizer: A CharSequenceNormalizer implementation that aggregates the functionality of other normalizers.
AggregateCharSequenceNormalizer(CharSequenceNormalizer...) - Konstruktor für Klasse opennlp.tools.util.normalizer.AggregateCharSequenceNormalizer
AggregatedFeatureGenerator - Klasse in opennlp.tools.util.featuregen: The AggregatedFeatureGenerator aggregates a set of AdaptiveFeatureGenerators and calls them to generate the features.
AggregatedFeatureGenerator(Collection<AdaptiveFeatureGenerator>) - Konstruktor für Klasse opennlp.tools.util.featuregen.AggregatedFeatureGenerator
AggregatedFeatureGenerator(AdaptiveFeatureGenerator...) - Konstruktor für Klasse opennlp.tools.util.featuregen.AggregatedFeatureGenerator: Initializes the current instance.
AggregatedFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
AggregatedFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.AggregatedFeatureGeneratorFactory
algorithm() - Methode in Klasse opennlp.tools.util.TrainingParameters
algorithm(String) - Methode in Klasse opennlp.tools.util.TrainingParameters
ALGORITHM_PARAM - Statische Variable in Klasse opennlp.tools.util.TrainingParameters
Among - Klasse in opennlp.tools.stemmer.snowball
Among(String, int, int) - Konstruktor für Klasse opennlp.tools.stemmer.snowball.Among
Among(String, int, int, String, Class<? extends AbstractSnowballStemmer>) - Konstruktor für Klasse opennlp.tools.stemmer.snowball.Among
AncoraSpanishHeadRules - Klasse in opennlp.tools.parser.lang.es: Class for storing the Ancora Spanish head rules associated with parsing.
AncoraSpanishHeadRules(Reader) - Konstruktor für Klasse opennlp.tools.parser.lang.es.AncoraSpanishHeadRules: Creates a new set of head rules based on the specified reader.
AncoraSpanishHeadRules.HeadRulesSerializer - Klasse in opennlp.tools.parser.lang.es
AnnotationConfiguration - Klasse in opennlp.tools.formats.brat
AnnotationConfiguration(Map<String, String>) - Konstruktor für Klasse opennlp.tools.formats.brat.AnnotationConfiguration
AnnotatorNoteAnnotation - Klasse in opennlp.tools.formats.brat
ARABIC - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
arabicStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
arabicStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.arabicStemmer
areOutcomesCompatible(String[]) - Methode in Klasse opennlp.tools.namefind.BilouCodec: B requires CL or L, C requires BL, L requires B, O requires any valid combo/unit, U requires none.
areOutcomesCompatible(String[]) - Methode in Klasse opennlp.tools.namefind.BioCodec
areOutcomesCompatible(String[]) - Methode in Schnittstelle opennlp.tools.util.SequenceCodec: Checks if the outcomes of a model are compatible with this SequenceCodec.
argmax(double[]) - Statische Methode in Klasse opennlp.tools.ml.ArrayMath: Finds the index of the maximum element in a vector x
ArrayMath - Klasse in opennlp.tools.ml: Utility class for simple vector arithmetic.
ArrayMath() - Konstruktor für Klasse opennlp.tools.ml.ArrayMath
ArtifactProvider - Schnittstelle in opennlp.tools.util.model: Provides access to model persisted artifacts.
ArtifactSerializer<T> - Schnittstelle in opennlp.tools.util.model: Responsible to create an artifact from an InputStream.
asStringSet() - Methode in Klasse opennlp.tools.dictionary.Dictionary: Converts this Dictionary to a Set<String>.
ATTACH - Enum-Konstante in Enum-Klasse opennlp.tools.parser.ParserEventTypeEnum
ATTACH_DAUGHTER - Statische Variable in Klasse opennlp.tools.parser.treeinsert.Parser: Outcome used when a node should be attached as a daughter to another node.
ATTACH_SISTER - Statische Variable in Klasse opennlp.tools.parser.treeinsert.Parser: Outcome used when a node should be attached as a sister to another node.
AttachContextGenerator - Klasse in opennlp.tools.parser.treeinsert: Generates predictive contexts for deciding how constituents should be attached.
AttachContextGenerator(Set<String>) - Konstruktor für Klasse opennlp.tools.parser.treeinsert.AttachContextGenerator: Instantiates an AttachContextGenerator for making decisions about attachments.
ATTRIBUTE_TYPE - Statische Variable in Klasse opennlp.tools.formats.brat.AnnotationConfiguration
AttributeAnnotation - Klasse in opennlp.tools.formats.brat
attributes() - Methode in Datensatzklasse opennlp.tools.dictionary.serializer.Entry: Gibt den Wert für die Datensatzkomponente attributes zurück.
Attributes - Klasse in opennlp.tools.dictionary.serializer: The Attributes class stores name value pairs.
Attributes() - Konstruktor für Klasse opennlp.tools.dictionary.serializer.Attributes

B

BagOfWordsFeatureGenerator - Klasse in opennlp.tools.doccat: Generates a feature for each word in a document.
BagOfWordsFeatureGenerator() - Konstruktor für Klasse opennlp.tools.doccat.BagOfWordsFeatureGenerator: Instantiates a default BagOfWordsFeatureGenerator instance.
BaseLink - Klasse in opennlp.tools.entitylinker: Represents a minimal tuple of information.
BaseLink(String, String, String, String) - Konstruktor für Klasse opennlp.tools.entitylinker.BaseLink
BaseModel - Klasse in opennlp.tools.util.model: This is a common base model which can be used by the components' specific model classes.
BaseToolFactory - Klasse in opennlp.tools.util: Base class for all tool factories.
BaseToolFactory() - Konstruktor für Klasse opennlp.tools.util.BaseToolFactory: All subclasses should have an empty constructor
BasicContextGenerator - Klasse in opennlp.tools.ml.maxent: A ContextGenerator implementation for maxent decisions, assuming that the input given to the BasicContextGenerator.getContext(String) method is a String containing contextual predicates separated by spaces, for instance:
BasicContextGenerator() - Konstruktor für Klasse opennlp.tools.ml.maxent.BasicContextGenerator
BasicContextGenerator(String) - Konstruktor für Klasse opennlp.tools.ml.maxent.BasicContextGenerator: Initializes a BasicContextGenerator with a different separator char.
BasicFormatParams - Schnittstelle in opennlp.tools.cmdline.params: Common format parameters.
BasicTrainingParams - Schnittstelle in opennlp.tools.cmdline.params: Common training parameters.
BEAM_SIZE_PARAMETER - Statische Variable in Klasse opennlp.tools.ml.BeamSearch
BeamSearch - Klasse in opennlp.tools.ml: Performs k-best search over a sequence.
BeamSearch(int, MaxentModel) - Konstruktor für Klasse opennlp.tools.ml.BeamSearch: Initializes a BeamSearch instance.
BeamSearch(int, MaxentModel, int) - Konstruktor für Klasse opennlp.tools.ml.BeamSearch: Initializes a BeamSearch instance.
BeamSearchContextGenerator<T> - Schnittstelle in opennlp.tools.util: Interface for context generators used with a sequence beam search.
bestSequence(T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Methode in Klasse opennlp.tools.ml.BeamSearch: Computes the best sequence of outcomes based on the MaxentModel.
bestSequence(T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Methode in Schnittstelle opennlp.tools.ml.model.SequenceClassificationModel: Finds the Sequence with the highest probability.
bestSequences(int, T[], Object[], double, BeamSearchContextGenerator<T>, SequenceValidator<T>) - Methode in Klasse opennlp.tools.ml.BeamSearch: Computes the best sequence of outcomes based on the MaxentModel.
bestSequences(int, T[], Object[], double, BeamSearchContextGenerator<T>, SequenceValidator<T>) - Methode in Schnittstelle opennlp.tools.ml.model.SequenceClassificationModel: Finds the n most probable sequences with the highest probability.
bestSequences(int, T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Methode in Klasse opennlp.tools.ml.BeamSearch: Computes the best sequence of outcomes based on the MaxentModel.
bestSequences(int, T[], Object[], BeamSearchContextGenerator<T>, SequenceValidator<T>) - Methode in Schnittstelle opennlp.tools.ml.model.SequenceClassificationModel: Finds the n most probable sequences with the highest probability.
BigramNameFeatureGenerator - Klasse in opennlp.tools.util.featuregen
BigramNameFeatureGenerator() - Konstruktor für Klasse opennlp.tools.util.featuregen.BigramNameFeatureGenerator
BigramNameFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
BigramNameFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.BigramNameFeatureGeneratorFactory
BilouCodec - Klasse in opennlp.tools.namefind: The default SequenceCodec implementation according to the BILOU scheme.
BilouCodec() - Konstruktor für Klasse opennlp.tools.namefind.BilouCodec
BilouNameFinderSequenceValidator - Klasse in opennlp.tools.namefind: A SequenceValidator implementation for the BilouCodec.
BilouNameFinderSequenceValidator() - Konstruktor für Klasse opennlp.tools.namefind.BilouNameFinderSequenceValidator
BinaryFileDataReader - Klasse in opennlp.tools.ml.model: A DataReader that reads files from a binary format.
BinaryFileDataReader(DataInputStream) - Konstruktor für Klasse opennlp.tools.ml.model.BinaryFileDataReader: Instantiates BinaryFileDataReader via an DataInputStream.
BinaryFileDataReader(File) - Konstruktor für Klasse opennlp.tools.ml.model.BinaryFileDataReader: Instantiates BinaryFileDataReader via a File and creates a DataInputStream for it.
BinaryFileDataReader(InputStream) - Konstruktor für Klasse opennlp.tools.ml.model.BinaryFileDataReader: Instantiates BinaryFileDataReader via an InputStream and creates a DataInputStream for it.
BinaryGISModelReader - Klasse in opennlp.tools.ml.maxent.io: A GISModelReader that reads models from a binary format.
BinaryGISModelReader(DataInputStream) - Konstruktor für Klasse opennlp.tools.ml.maxent.io.BinaryGISModelReader: Instantiates BinaryGISModelReader via a DataInputStream containing the model contents.
BinaryGISModelWriter - Klasse in opennlp.tools.ml.maxent.io: A GISModelWriter that writes models in a binary format.
BinaryGISModelWriter(AbstractModel, DataOutputStream) - Konstruktor für Klasse opennlp.tools.ml.maxent.io.BinaryGISModelWriter: Instantiates BinaryGISModelWriter via an GIS model and a DataOutputStream.
BinaryGISModelWriter(AbstractModel, File) - Konstruktor für Klasse opennlp.tools.ml.maxent.io.BinaryGISModelWriter: Instantiates BinaryGISModelWriter via an GIS model and a File.
BinaryNaiveBayesModelReader - Klasse in opennlp.tools.ml.naivebayes: A NaiveBayesModelReader that reads models from a binary format.
BinaryNaiveBayesModelReader(DataInputStream) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelReader: Instantiates BinaryNaiveBayesModelReader via a DataInputStream containing the model contents.
BinaryNaiveBayesModelReader(File) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelReader: Instantiates BinaryNaiveBayesModelReader via a File and creates a reader for it.
BinaryNaiveBayesModelWriter - Klasse in opennlp.tools.ml.naivebayes: A NaiveBayesModelWriter that writes models in a binary format.
BinaryNaiveBayesModelWriter(AbstractModel, DataOutputStream) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter: Instantiates BinaryNaiveBayesModelWriter via an naive bayes model and a DataOutputStream.
BinaryNaiveBayesModelWriter(AbstractModel, File) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter: Instantiates BinaryNaiveBayesModelWriter via an naive bayes model and a File.
BinaryPerceptronModelReader - Klasse in opennlp.tools.ml.perceptron: A PerceptronModelReader that reads models from a binary format.
BinaryPerceptronModelReader(DataInputStream) - Konstruktor für Klasse opennlp.tools.ml.perceptron.BinaryPerceptronModelReader: Instantiates BinaryPerceptronModelReader via a DataInputStream containing the model contents.
BinaryPerceptronModelReader(File) - Konstruktor für Klasse opennlp.tools.ml.perceptron.BinaryPerceptronModelReader: Instantiates BinaryPerceptronModelReader via a File and creates a reader for it.
BinaryPerceptronModelWriter - Klasse in opennlp.tools.ml.perceptron: A PerceptronModelWriter that writes models in a binary format.
BinaryPerceptronModelWriter(AbstractModel, DataOutputStream) - Konstruktor für Klasse opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter: Instantiates BinaryPerceptronModelWriter via an perceptron model and a DataOutputStream.
BinaryPerceptronModelWriter(AbstractModel, File) - Konstruktor für Klasse opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter: Instantiates BinaryPerceptronModelWriter via an perceptron model and a File.
BinaryQNModelReader - Klasse in opennlp.tools.ml.maxent.io: A QNModelReader that reads models from a binary format.
BinaryQNModelReader(DataInputStream) - Konstruktor für Klasse opennlp.tools.ml.maxent.io.BinaryQNModelReader: Instantiates BinaryQNModelReader via a DataInputStream containing the model contents.
BinaryQNModelWriter - Klasse in opennlp.tools.ml.maxent.io: A QNModelWriter that writes models in a binary format.
BinaryQNModelWriter(AbstractModel, DataOutputStream) - Konstruktor für Klasse opennlp.tools.ml.maxent.io.BinaryQNModelWriter: Instantiates BinaryQNModelWriter via an QN model and a DataOutputStream.
BinaryQNModelWriter(AbstractModel, File) - Konstruktor für Klasse opennlp.tools.ml.maxent.io.BinaryQNModelWriter: Instantiates BinaryQNModelWriter via an QN model and a File.
BioCodec - Klasse in opennlp.tools.namefind: The default SequenceCodec implementation according to the BIO scheme: B: 'beginning' of a NE I: 'inside', the word is inside a NE O: 'outside', the word is a regular word outside a NE See also the paper by Roth D. and Ratinov L.: Design Challenges and Misconceptions in Named Entity Recognition.
BioCodec() - Konstruktor für Klasse opennlp.tools.namefind.BioCodec
BioNLP2004NameSampleStream - Klasse in opennlp.tools.formats: A sample stream for the training files of the BioNLP/NLPBA 2004 shared task.
BioNLP2004NameSampleStream(InputStreamFactory, int) - Konstruktor für Klasse opennlp.tools.formats.BioNLP2004NameSampleStream: Initializes a BioNLP2004NameSampleStream.
BioNLP2004NameSampleStreamFactory - Klasse in opennlp.tools.formats
BRACKET_LCB - Statische Variable in Klasse opennlp.tools.parser.Parse
BRACKET_LRB - Statische Variable in Klasse opennlp.tools.parser.Parse
BRACKET_LSB - Statische Variable in Klasse opennlp.tools.parser.Parse
BRACKET_RCB - Statische Variable in Klasse opennlp.tools.parser.Parse
BRACKET_RRB - Statische Variable in Klasse opennlp.tools.parser.Parse
BRACKET_RSB - Statische Variable in Klasse opennlp.tools.parser.Parse
BratAnnotation - Klasse in opennlp.tools.formats.brat
BratAnnotationStream - Klasse in opennlp.tools.formats.brat: Reads the annotations from the brat .ann annotation file.
BratDocument - Klasse in opennlp.tools.formats.brat: Brat (brat rapid annotation tool) is based on the stav visualiser which was originally made in order to visualise BioNLP'11 Shared Task data.
BratDocument(AnnotationConfiguration, String, String, Collection<BratAnnotation>) - Konstruktor für Klasse opennlp.tools.formats.brat.BratDocument
BratDocumentParser - Klasse in opennlp.tools.formats.brat
BratDocumentParser(SentenceDetector, Tokenizer) - Konstruktor für Klasse opennlp.tools.formats.brat.BratDocumentParser
BratDocumentParser(SentenceDetector, Tokenizer, Set<String>) - Konstruktor für Klasse opennlp.tools.formats.brat.BratDocumentParser
BratDocumentStream - Klasse in opennlp.tools.formats.brat
BratDocumentStream(AnnotationConfiguration, File, boolean, FileFilter) - Konstruktor für Klasse opennlp.tools.formats.brat.BratDocumentStream: Creates a BratDocumentStream which reads the documents from the given input directory.
BratNameSampleStream - Klasse in opennlp.tools.formats.brat: Generates Name Sample objects for a Brat Document object.
BratNameSampleStream(SentenceDetector, Tokenizer, ObjectStream<BratDocument>) - Konstruktor für Klasse opennlp.tools.formats.brat.BratNameSampleStream: Creates a new BratNameSampleStream.
BratNameSampleStream(SentenceDetector, Tokenizer, ObjectStream<BratDocument>, Set<String>) - Konstruktor für Klasse opennlp.tools.formats.brat.BratNameSampleStream: Creates a new BratNameSampleStream.
BratNameSampleStream(SentenceModel, TokenizerModel, ObjectStream<BratDocument>) - Konstruktor für Klasse opennlp.tools.formats.brat.BratNameSampleStream: Creates a new BratNameSampleStream.
BratNameSampleStream(SentenceModel, TokenizerModel, ObjectStream<BratDocument>, Set<String>) - Konstruktor für Klasse opennlp.tools.formats.brat.BratNameSampleStream: Creates a new BratNameSampleStream.
BratNameSampleStreamFactory - Klasse in opennlp.tools.formats.brat
BrownBigramFeatureGenerator - Klasse in opennlp.tools.util.featuregen: Generates Brown cluster features for token bigrams.
BrownBigramFeatureGenerator(BrownCluster) - Konstruktor für Klasse opennlp.tools.util.featuregen.BrownBigramFeatureGenerator: Creates a new Brown Cluster bigram feature generator.
BrownCluster - Klasse in opennlp.tools.util.featuregen: Class to load a Brown cluster document: word\tword_class\tprob
BrownCluster(InputStream) - Konstruktor für Klasse opennlp.tools.util.featuregen.BrownCluster: Instatiates a BrownCluster and its related token to cluster map via an InputStream.
BrownCluster.BrownClusterSerializer - Klasse in opennlp.tools.util.featuregen
BrownClusterBigramFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen: Generates Brown clustering features for token bigrams.
BrownClusterBigramFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory
BrownClusterSerializer() - Konstruktor für Klasse opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer
BrownClusterTokenClassFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen: Generates Brown clustering features for token classes.
BrownClusterTokenClassFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory
BrownClusterTokenFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen: Generates Brown clustering features for current token.
BrownClusterTokenFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory
BrownTokenClasses - Klasse in opennlp.tools.util.featuregen: Obtain the paths listed in the pathLengths array from the Brown class.
BrownTokenClasses() - Konstruktor für Klasse opennlp.tools.util.featuregen.BrownTokenClasses
BrownTokenClassFeatureGenerator - Klasse in opennlp.tools.util.featuregen: Generates BrownCluster features for current token and token class.
BrownTokenClassFeatureGenerator(BrownCluster) - Konstruktor für Klasse opennlp.tools.util.featuregen.BrownTokenClassFeatureGenerator: Instantiates a BrownTokenClassFeatureGenerator via a specified BrownCluster.
BrownTokenFeatureGenerator - Klasse in opennlp.tools.util.featuregen: Generates BrownCluster features for current token.
BrownTokenFeatureGenerator(BrownCluster) - Konstruktor für Klasse opennlp.tools.util.featuregen.BrownTokenFeatureGenerator
BUILD - Enum-Konstante in Enum-Klasse opennlp.tools.parser.ParserEventTypeEnum
BuildContextGenerator - Klasse in opennlp.tools.parser.chunking: Generates predictive contexts for deciding how constituents should be combined.
BuildContextGenerator - Klasse in opennlp.tools.parser.treeinsert: Creates the features or contexts for the building phase of parsing.
BuildContextGenerator() - Konstruktor für Klasse opennlp.tools.parser.chunking.BuildContextGenerator: Instantiates a BuildContextGenerator for making decisions about combining constituents.
BuildContextGenerator() - Konstruktor für Klasse opennlp.tools.parser.treeinsert.BuildContextGenerator: Instantiates a BuildContextGenerator for making decisions.
BuildContextGenerator(Dictionary) - Konstruktor für Klasse opennlp.tools.parser.chunking.BuildContextGenerator: Instantiates a BuildContextGenerator for making decisions about combining constituents using a Dictionary.
buildDictionary(ObjectStream<Parse>, HeadRules, int) - Statische Methode in Klasse opennlp.tools.parser.AbstractBottomUpParser: Creates a n-gram Dictionary from the specified data stream using HeadRules and specified cut-off.
buildDictionary(ObjectStream<Parse>, HeadRules, TrainingParameters) - Statische Methode in Klasse opennlp.tools.parser.AbstractBottomUpParser: Creates a n-gram Dictionary from the specified data stream using the specified head rule and specified cut-off.
BuildModelUpdaterTool - Klasse in opennlp.tools.cmdline.parser
BuildModelUpdaterTool() - Konstruktor für Klasse opennlp.tools.cmdline.parser.BuildModelUpdaterTool
buildNGramDictionary(ObjectStream<POSSample>, int) - Statische Methode in Klasse opennlp.tools.postag.POSTaggerME: Constructs a nGram dictionary from an ObjectStream of samples.
BUILT - Statische Variable in Klasse opennlp.tools.parser.treeinsert.Parser: Label used to distinguish build nodes from non-built nodes.
ByteArraySerializer - Klasse in opennlp.tools.util.model: An ArtifactSerializer implementation for binary data, kept in byte[].
ByteArraySerializer() - Konstruktor für Klasse opennlp.tools.util.model.ByteArraySerializer

C

Cache<K,V> - Klasse in opennlp.tools.util: Provides fixed size, pre-allocated, least recently used replacement cache.
Cache(int) - Konstruktor für Klasse opennlp.tools.util.Cache
CachedFeatureGenerator - Klasse in opennlp.tools.util.featuregen: Caches features of the aggregated generators.
CachedFeatureGenerator(AdaptiveFeatureGenerator) - Konstruktor für Klasse opennlp.tools.util.featuregen.CachedFeatureGenerator
CachedFeatureGenerator(AdaptiveFeatureGenerator...) - Konstruktor für Klasse opennlp.tools.util.featuregen.CachedFeatureGenerator: Veraltet.
CachedFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
CachedFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.CachedFeatureGeneratorFactory
calculateBigramMLProbability(String, String, Collection<StringList>) - Statische Methode in Klasse opennlp.tools.ngram.NGramUtils: calculate the probability of a bigram in a vocabulary using maximum likelihood estimation
calculateBigramPriorSmoothingProbability(String, String, Collection<StringList>, Double) - Statische Methode in Klasse opennlp.tools.ngram.NGramUtils: calculate the probability of a bigram in a vocabulary using prior Laplace smoothing algorithm
calculateChecksum() - Methode in Klasse opennlp.tools.ml.model.ChecksumEventStream: Calculates and returns the (current) checksum.
calculateLaplaceSmoothingProbability(StringList, Iterable<StringList>, Double) - Statische Methode in Klasse opennlp.tools.ngram.NGramUtils: calculate the probability of a ngram in a vocabulary using Laplace smoothing algorithm
calculateMissingNgramProbabilityMass(StringList, double, Iterable<StringList>) - Statische Methode in Klasse opennlp.tools.ngram.NGramUtils: calculate the probability of a ngram in a vocabulary using the missing probability mass algorithm
calculateNgramMLProbability(StringList, Iterable<StringList>) - Statische Methode in Klasse opennlp.tools.ngram.NGramUtils: calculate the probability of a ngram in a vocabulary using maximum likelihood estimation
calculateProbability(String...) - Methode in Schnittstelle opennlp.tools.languagemodel.LanguageModel: Calculate the probability of a series of tokens (e.g. a sentence), given a vocabulary.
calculateProbability(String...) - Methode in Klasse opennlp.tools.languagemodel.NGramLanguageModel
calculateTrigramLinearInterpolationProbability(String, String, String, Collection<StringList>, Double, Double, Double) - Statische Methode in Klasse opennlp.tools.ngram.NGramUtils: calculate the probability of a trigram in a vocabulary using a linear interpolation algorithm
calculateTrigramMLProbability(String, String, String, Iterable<StringList>) - Statische Methode in Klasse opennlp.tools.ngram.NGramUtils: calculate the probability of a trigram in a vocabulary using maximum likelihood estimation
calculateUnigramMLProbability(String, Collection<StringList>) - Statische Methode in Klasse opennlp.tools.ngram.NGramUtils: calculate the probability of a unigram in a vocabulary using maximum likelihood estimation
CATALAN - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
catalanStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
catalanStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.catalanStemmer
categorize(String[]) - Methode in Schnittstelle opennlp.tools.doccat.DocumentCategorizer: Categorizes the given text, provided in separate tokens.
categorize(String[]) - Methode in Klasse opennlp.tools.doccat.DocumentCategorizerME
categorize(String[], Map<String, Object>) - Methode in Schnittstelle opennlp.tools.doccat.DocumentCategorizer: Categorizes the given text provided as tokens along with the provided extraInformation.
categorize(String[], Map<String, Object>) - Methode in Klasse opennlp.tools.doccat.DocumentCategorizerME: Categorize the given text provided as tokens along with the provided extra information.
CensusDictionaryCreatorTool - Klasse in opennlp.tools.cmdline.namefind: This tool helps create a loadable dictionary for the NameFinder, from data collected from US Census data.
CensusDictionaryCreatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
CharacterNgramFeatureGenerator - Klasse in opennlp.tools.util.featuregen: The CharacterNgramFeatureGenerator uses character ngrams to generate features about each token.
CharacterNgramFeatureGenerator() - Konstruktor für Klasse opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator: Initializes a CharacterNgramFeatureGenerator with min length of 2 and max length of 5 for ngrams.
CharacterNgramFeatureGenerator(int, int) - Konstruktor für Klasse opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator: Initializes a CharacterNgramFeatureGenerator.
CharacterNgramFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
CharacterNgramFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.CharacterNgramFeatureGeneratorFactory
characters(char[], int, int) - Methode in Klasse opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler
characters(CharSequence) - Methode in Klasse opennlp.tools.formats.muc.MucNameContentHandler
characters(CharSequence) - Methode in Klasse opennlp.tools.formats.muc.SgmlParser.ContentHandler
CharSequenceNormalizer - Schnittstelle in opennlp.tools.util.normalizer: A char sequence normalizer, used to adjusting (prune, substitute, add, etc.)
CHECK - Enum-Konstante in Enum-Klasse opennlp.tools.parser.ParserEventTypeEnum
CheckContextGenerator - Klasse in opennlp.tools.parser.chunking: Generates predictive context for deciding when a constituent is complete.
CheckContextGenerator - Klasse in opennlp.tools.parser.treeinsert: Generates predictive context for deciding when a constituent is complete.
CheckContextGenerator() - Konstruktor für Klasse opennlp.tools.parser.chunking.CheckContextGenerator: Instantiates a CheckContextGenerator for generating predictive context for deciding when a constituent is complete.
CheckContextGenerator(Set<String>) - Konstruktor für Klasse opennlp.tools.parser.treeinsert.CheckContextGenerator: Instantiates a CheckContextGenerator for making decisions using a punctSet.
checkModelType() - Methode in Klasse opennlp.tools.ml.maxent.io.GISModelReader
checkModelType() - Methode in Klasse opennlp.tools.ml.maxent.io.QNModelReader
checkModelType() - Methode in Klasse opennlp.tools.ml.model.AbstractModelReader: Checks the model type via the the underlying DataReader.
checkModelType() - Methode in Klasse opennlp.tools.ml.model.GenericModelReader
checkModelType() - Methode in Klasse opennlp.tools.ml.naivebayes.NaiveBayesModelReader: Reads the mode type from the underlying reader and informs if it not a Naive Bayes model.
checkModelType() - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronModelReader: Reads the mode type from the underlying reader and informs if it not a Perceptron model.
CheckModelUpdaterTool - Klasse in opennlp.tools.cmdline.parser: Trains a new check model.
CheckModelUpdaterTool() - Konstruktor für Klasse opennlp.tools.cmdline.parser.CheckModelUpdaterTool
ChecksumEventStream - Klasse in opennlp.tools.ml.model: A Checksum-based event stream implementation.
ChecksumEventStream(ObjectStream<Event>) - Konstruktor für Klasse opennlp.tools.ml.model.ChecksumEventStream: Initializes an ChecksumEventStream.
chunk(String[], String[]) - Methode in Schnittstelle opennlp.tools.chunker.Chunker: Generates chunk tags for the given sequence returning the result in an array.
chunk(String[], String[]) - Methode in Klasse opennlp.tools.chunker.ChunkerME
CHUNK - Enum-Konstante in Enum-Klasse opennlp.tools.parser.ParserEventTypeEnum: Veraltet.
chunkAsSpans(String[], String[]) - Methode in Schnittstelle opennlp.tools.chunker.Chunker: Generates tagged chunk spans for the given sequence returning the result in a span array.
chunkAsSpans(String[], String[]) - Methode in Klasse opennlp.tools.chunker.ChunkerME
ChunkContextGenerator - Klasse in opennlp.tools.parser: Creates predictive context for the pre-chunking phases of parsing.
ChunkContextGenerator() - Konstruktor für Klasse opennlp.tools.parser.ChunkContextGenerator: Initializes a ChunkContextGenerator instance.
ChunkContextGenerator(int) - Konstruktor für Klasse opennlp.tools.parser.ChunkContextGenerator: Initializes a ChunkContextGenerator instance with a custom cacheSize.
Chunker - Schnittstelle in opennlp.tools.chunker: The interface for chunkers which provide chunk tags for a sequence of tokens.
CHUNKER - Enum-Konstante in Enum-Klasse opennlp.tools.util.DownloadUtil.ModelType
ChunkerContextGenerator - Schnittstelle in opennlp.tools.chunker: Interface for a BeamSearchContextGenerator used in syntactic chunking.
ChunkerConverterTool - Klasse in opennlp.tools.cmdline.chunker: Tool to convert multiple data formats into native OpenNLP chunker training format.
ChunkerConverterTool() - Konstruktor für Klasse opennlp.tools.cmdline.chunker.ChunkerConverterTool
ChunkerCrossValidator - Klasse in opennlp.tools.chunker: Cross validator for Chunker.
ChunkerCrossValidator(String, TrainingParameters, ChunkerFactory, ChunkerEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.chunker.ChunkerCrossValidator: Initializes a ChunkerCrossValidator instance via given parameters.
ChunkerCrossValidatorTool - Klasse in opennlp.tools.cmdline.chunker
ChunkerCrossValidatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool
ChunkerDetailedFMeasureListener - Klasse in opennlp.tools.cmdline.chunker
ChunkerDetailedFMeasureListener() - Konstruktor für Klasse opennlp.tools.cmdline.chunker.ChunkerDetailedFMeasureListener
ChunkerEvaluationMonitor - Schnittstelle in opennlp.tools.chunker: A marker interface for evaluating chunkers.
ChunkerEvaluator - Klasse in opennlp.tools.chunker: The ChunkerEvaluator measures the performance of the given Chunker with the provided reference samples.
ChunkerEvaluator(Chunker, ChunkerEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.chunker.ChunkerEvaluator: Initializes a ChunkerEvaluator instance with the given Chunker.
ChunkerEvaluatorTool - Klasse in opennlp.tools.cmdline.chunker: A default ChunkSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.
ChunkerEvaluatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool
ChunkerEventStream - Klasse in opennlp.tools.chunker: Class for creating an event stream out of data files for training a Chunker.
ChunkerEventStream(ObjectStream<ChunkSample>, ChunkerContextGenerator) - Konstruktor für Klasse opennlp.tools.chunker.ChunkerEventStream: Creates a new event stream based on the specified data stream using the given context generator.
ChunkerFactory - Klasse in opennlp.tools.chunker
ChunkerFactory() - Konstruktor für Klasse opennlp.tools.chunker.ChunkerFactory: Creates a ChunkerFactory that provides the default implementation of the resources.
ChunkerME - Klasse in opennlp.tools.chunker: The class represents a maximum-entropy-based Chunker.
ChunkerME(String) - Konstruktor für Klasse opennlp.tools.chunker.ChunkerME: Initializes a Chunker by downloading a default model.
ChunkerME(ChunkerModel) - Konstruktor für Klasse opennlp.tools.chunker.ChunkerME: Initializes a Chunker with the specified ChunkerModel.
ChunkerMETool - Klasse in opennlp.tools.cmdline.chunker
ChunkerMETool() - Konstruktor für Klasse opennlp.tools.cmdline.chunker.ChunkerMETool
ChunkerModel - Klasse in opennlp.tools.chunker: The ChunkerModel is the model used by a learnable Chunker.
ChunkerModel(File) - Konstruktor für Klasse opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via a valid File.
ChunkerModel(InputStream) - Konstruktor für Klasse opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via a valid InputStream.
ChunkerModel(String, MaxentModel, int, Map<String, String>, ChunkerFactory) - Konstruktor für Klasse opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via given parameters.
ChunkerModel(String, MaxentModel, Map<String, String>, ChunkerFactory) - Konstruktor für Klasse opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via given parameters.
ChunkerModel(String, MaxentModel, ChunkerFactory) - Konstruktor für Klasse opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via given parameters.
ChunkerModel(String, SequenceClassificationModel, Map<String, String>, ChunkerFactory) - Konstruktor für Klasse opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via given parameters.
ChunkerModel(URL) - Konstruktor für Klasse opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via a valid URL.
ChunkerModel(Path) - Konstruktor für Klasse opennlp.tools.chunker.ChunkerModel: Initializes a ChunkerModel instance via a valid Path.
ChunkerModelLoader - Klasse in opennlp.tools.cmdline.chunker: Loads a ChunkerModel for the command line tools.
ChunkerModelLoader() - Konstruktor für Klasse opennlp.tools.cmdline.chunker.ChunkerModelLoader
ChunkerModelSerializer - Klasse in opennlp.tools.util.model: An ArtifactSerializer implementation for models.
ChunkerModelSerializer() - Konstruktor für Klasse opennlp.tools.util.model.ChunkerModelSerializer
ChunkerSampleStreamFactory - Klasse in opennlp.tools.formats: Factory producing OpenNLP ChunkSampleStreams.
ChunkerTrainerTool - Klasse in opennlp.tools.cmdline.chunker
ChunkerTrainerTool() - Konstruktor für Klasse opennlp.tools.cmdline.chunker.ChunkerTrainerTool
ChunkEvaluationErrorListener - Klasse in opennlp.tools.cmdline.chunker: A default implementation of EvaluationMonitor that prints to an output stream.
ChunkEvaluationErrorListener() - Konstruktor für Klasse opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener: Creates a listener that will print to the configured logger.
ChunkEvaluationErrorListener(OutputStream) - Konstruktor für Klasse opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener: Creates a listener that will print to a given OutputStream
CHUNKING - Enum-Konstante in Enum-Klasse opennlp.tools.parser.ParserType
ChunkSample - Klasse in opennlp.tools.chunker: Class for holding chunks for a single unit of text.
ChunkSample(String[], String[], String[]) - Konstruktor für Klasse opennlp.tools.chunker.ChunkSample: Initializes a ChunkSample instance.
ChunkSample(List<String>, List<String>, List<String>) - Konstruktor für Klasse opennlp.tools.chunker.ChunkSample: Initializes a ChunkSample instance.
ChunkSampleSequenceStream - Klasse in opennlp.tools.chunker: A SequenceStream implementation encapsulating samples.
ChunkSampleSequenceStream(ObjectStream<ChunkSample>, ChunkerContextGenerator) - Konstruktor für Klasse opennlp.tools.chunker.ChunkSampleSequenceStream: Creates a ChunkSampleSequenceStream with given samples using a ChunkerContextGenerator.
ChunkSampleStream - Klasse in opennlp.tools.chunker: Parses the conll 2000 shared task shallow parser training data.
ChunkSampleStream - Klasse in opennlp.tools.parser
ChunkSampleStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.chunker.ChunkSampleStream: Initializes a instance.
ChunkSampleStream(ObjectStream<Parse>) - Konstruktor für Klasse opennlp.tools.parser.ChunkSampleStream: Initializes a instance.
clearAdaptiveData() - Methode in Klasse opennlp.tools.namefind.DefaultNameContextGenerator
clearAdaptiveData() - Methode in Klasse opennlp.tools.namefind.DictionaryNameFinder
clearAdaptiveData() - Methode in Schnittstelle opennlp.tools.namefind.NameContextGenerator: Informs all the feature generators that the context of the adaptive data (typically a document) is no longer valid and should be cleared.
clearAdaptiveData() - Methode in Klasse opennlp.tools.namefind.NameFinderME
clearAdaptiveData() - Methode in Klasse opennlp.tools.namefind.RegexNameFinder
clearAdaptiveData() - Methode in Klasse opennlp.tools.namefind.ThreadSafeNameFinderME
clearAdaptiveData() - Methode in Schnittstelle opennlp.tools.namefind.TokenNameFinder: Forgets all adaptive data which was collected during previous calls to one of the find methods.
clearAdaptiveData() - Methode in Schnittstelle opennlp.tools.util.featuregen.AdaptiveFeatureGenerator: Informs a feature generator that the context of the adaptive data (typically a document) is no longer valid.
clearAdaptiveData() - Methode in Klasse opennlp.tools.util.featuregen.AggregatedFeatureGenerator: Calls the AdaptiveFeatureGenerator.clearAdaptiveData() method on all aggregated AdaptiveFeatureGenerators.
clearAdaptiveData() - Methode in Klasse opennlp.tools.util.featuregen.CachedFeatureGenerator
clearAdaptiveData() - Methode in Klasse opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator
clearAdaptiveData() - Methode in Klasse opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
clearAdaptiveData() - Methode in Klasse opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator
clearAdaptiveData() - Methode in Klasse opennlp.tools.util.featuregen.WindowFeatureGenerator
clone() - Methode in Klasse opennlp.tools.parser.Parse
clone(Parse) - Methode in Klasse opennlp.tools.parser.Parse: Clones the right frontier of Parse up to the specified node.
cloneRoot(Parse, int) - Methode in Klasse opennlp.tools.parser.Parse: Clones the right frontier of this root Parse up to and including the specified node.
close() - Methode in Klasse opennlp.tools.chunker.ChunkSampleSequenceStream
close() - Methode in Klasse opennlp.tools.formats.ad.ADChunkSampleStream
close() - Methode in Klasse opennlp.tools.formats.ad.ADNameSampleStream
close() - Methode in Klasse opennlp.tools.formats.ad.ADPOSSampleStream
close() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceSampleStream
close() - Methode in Klasse opennlp.tools.formats.BioNLP2004NameSampleStream
close() - Methode in Klasse opennlp.tools.formats.brat.BratAnnotationStream
close() - Methode in Klasse opennlp.tools.formats.brat.BratDocumentStream
close() - Methode in Klasse opennlp.tools.formats.Conll02NameSampleStream
close() - Methode in Klasse opennlp.tools.formats.Conll03NameSampleStream
close() - Methode in Klasse opennlp.tools.formats.conllu.ConlluStream
close() - Methode in Klasse opennlp.tools.formats.DirectorySampleStream: Closes the ObjectStream and releases all allocated resources.
close() - Methode in Klasse opennlp.tools.formats.EvalitaNameSampleStream
close() - Methode in Klasse opennlp.tools.formats.masc.MascDocumentStream: Remove the corpus from the memory.
close() - Methode in Klasse opennlp.tools.formats.NameFinderCensus90NameStream
close() - Methode in Klasse opennlp.tools.lemmatizer.LemmaSampleSequenceStream
close() - Methode in Klasse opennlp.tools.lemmatizer.ThreadSafeLemmatizerME
close() - Methode in Klasse opennlp.tools.ml.maxent.io.BinaryGISModelWriter
close() - Methode in Klasse opennlp.tools.ml.maxent.io.BinaryQNModelWriter: Closes the underlying DataOutputStream.
close() - Methode in Klasse opennlp.tools.ml.maxent.RealBasicEventStream
close() - Methode in Klasse opennlp.tools.ml.model.AbstractModelWriter: Closes the underlying DataOutputStream.
close() - Methode in Klasse opennlp.tools.ml.model.FileEventStream
close() - Methode in Klasse opennlp.tools.ml.model.GenericModelWriter
close() - Methode in Klasse opennlp.tools.ml.model.SequenceStreamEventStream
close() - Methode in Klasse opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
close() - Methode in Klasse opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
close() - Methode in Klasse opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
close() - Methode in Klasse opennlp.tools.namefind.NameSampleSequenceStream
close() - Methode in Klasse opennlp.tools.namefind.ThreadSafeNameFinderME
close() - Methode in Klasse opennlp.tools.postag.POSSampleSequenceStream
close() - Methode in Klasse opennlp.tools.postag.ThreadSafePOSTaggerME
close() - Methode in Klasse opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
close() - Methode in Klasse opennlp.tools.tokenize.ThreadSafeTokenizerME
close() - Methode in Klasse opennlp.tools.tokenize.TokenizerStream
close() - Methode in Klasse opennlp.tools.util.AbstractEventStream
close() - Methode in Klasse opennlp.tools.util.AbstractObjectStream
close() - Methode in Klasse opennlp.tools.util.CollectionObjectStream
close() - Methode in Klasse opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
close() - Methode in Klasse opennlp.tools.util.FilterObjectStream
close() - Methode in Klasse opennlp.tools.util.model.UncloseableInputStream: This method does not have any effect, as the InputStream cannot be closed.
close() - Methode in Schnittstelle opennlp.tools.util.ObjectStream: Closes the ObjectStream and releases all allocated resources.
close() - Methode in Klasse opennlp.tools.util.PlainTextByLineStream
collapsePunctuation(Parse[], Set<String>) - Statische Methode in Klasse opennlp.tools.parser.AbstractBottomUpParser: Removes the punctuation from the specified set of chunks, adds it to the parses adjacent to the punctuation is specified, and returns a new array of parses with the punctuation removed.
CollectionObjectStream<E> - Klasse in opennlp.tools.util: An ObjectStream implementation that works on a Collection of CollectionObjectStream as source for elements.
CollectionObjectStream(Collection<E>) - Konstruktor für Klasse opennlp.tools.util.CollectionObjectStream
ComparableEvent - Klasse in opennlp.tools.ml.model: A maxent event representation which we can use to sort based on the predicates indexes contained in the events.
ComparableEvent(int, int[]) - Konstruktor für Klasse opennlp.tools.ml.model.ComparableEvent
ComparableEvent(int, int[], float[]) - Konstruktor für Klasse opennlp.tools.ml.model.ComparableEvent
ComparablePredicate - Klasse in opennlp.tools.ml.model: A maxent predicate representation which we can use to sort based on the outcomes.
ComparablePredicate(String, int[], double[]) - Konstruktor für Klasse opennlp.tools.ml.model.ComparablePredicate
compareTo(ComparableEvent) - Methode in Klasse opennlp.tools.ml.model.ComparableEvent
compareTo(ComparablePredicate) - Methode in Klasse opennlp.tools.ml.model.ComparablePredicate
compareTo(Parse) - Methode in Klasse opennlp.tools.parser.Parse
compareTo(Sequence) - Methode in Klasse opennlp.tools.util.Sequence
compareTo(Span) - Methode in Klasse opennlp.tools.util.Span: Compares the specified Span to the current span.
compareToIgnoreCase(StringList) - Methode in Klasse opennlp.tools.util.StringList: Compares to token list and ignores the case of the tokens.
complete() - Methode in Klasse opennlp.tools.parser.Parse
COMPLETE - Statische Variable in Klasse opennlp.tools.parser.AbstractBottomUpParser: Outcome used when a constituent is complete.
computeShortestEditScript(String, String, int[][], StringBuffer) - Statische Methode in Klasse opennlp.tools.util.StringUtil: Computes the Shortest Edit Script (SES) to convert a word into its lemma.
concatenateObjectStream(Collection<ObjectStream<T>>) - Statische Methode in Klasse opennlp.tools.util.ObjectStreamUtils: Creates a single concatenated ObjectStream from multiple individual streams with the same type ObjectStreamUtils.
concatenateObjectStream(ObjectStream<T>...) - Statische Methode in Klasse opennlp.tools.util.ObjectStreamUtils: Creates a single concatenated ObjectStream from multiple individual streams with the same type.
ConfigurablePOSContextGenerator - Klasse in opennlp.tools.postag: A configurable context generator for a POSTagger.
ConfigurablePOSContextGenerator(int, AdaptiveFeatureGenerator) - Konstruktor für Klasse opennlp.tools.postag.ConfigurablePOSContextGenerator: Initializes a ConfigurablePOSContextGenerator instance.
ConfigurablePOSContextGenerator(AdaptiveFeatureGenerator) - Konstruktor für Klasse opennlp.tools.postag.ConfigurablePOSContextGenerator: Initializes a ConfigurablePOSContextGenerator instance.
Conll02NameSampleStream - Klasse in opennlp.tools.formats: Parser for the Dutch and Spanish ner training files of the CONLL 2002 shared task.
Conll02NameSampleStream(Conll02NameSampleStream.LANGUAGE, InputStreamFactory, int) - Konstruktor für Klasse opennlp.tools.formats.Conll02NameSampleStream: Initializes a Conll02NameSampleStream.
Conll02NameSampleStream(Conll02NameSampleStream.LANGUAGE, ObjectStream<String>, int) - Konstruktor für Klasse opennlp.tools.formats.Conll02NameSampleStream: Initializes a Conll02NameSampleStream.
Conll02NameSampleStream.LANGUAGE - Enum-Klasse in opennlp.tools.formats
Conll02NameSampleStreamFactory - Klasse in opennlp.tools.formats: Note: Do not use this class, internal use only!
Conll03NameSampleStream - Klasse in opennlp.tools.formats: An import stream which can parse the CONLL03 data.
Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE, InputStreamFactory, int) - Konstruktor für Klasse opennlp.tools.formats.Conll03NameSampleStream: Initializes a Conll03NameSampleStream.
Conll03NameSampleStream(Conll03NameSampleStream.LANGUAGE, ObjectStream<String>, int) - Konstruktor für Klasse opennlp.tools.formats.Conll03NameSampleStream: Initializes a Conll03NameSampleStream.
Conll03NameSampleStream.LANGUAGE - Enum-Klasse in opennlp.tools.formats
Conll03NameSampleStreamFactory - Klasse in opennlp.tools.formats
CONLLU_FORMAT - Statische Variable in Klasse opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory
ConlluLemmaSampleStream - Klasse in opennlp.tools.formats.conllu
ConlluLemmaSampleStream(ObjectStream<ConlluSentence>, ConlluTagset) - Konstruktor für Klasse opennlp.tools.formats.conllu.ConlluLemmaSampleStream: Initializes a ConlluLemmaSampleStream.
ConlluLemmaSampleStreamFactory - Klasse in opennlp.tools.formats.conllu: Note: Do not use this class, internal use only!
ConlluPOSSampleStream - Klasse in opennlp.tools.formats.conllu
ConlluPOSSampleStream(ObjectStream<ConlluSentence>, ConlluTagset) - Konstruktor für Klasse opennlp.tools.formats.conllu.ConlluPOSSampleStream: Initializes a ConlluPOSSampleStream.
ConlluPOSSampleStreamFactory - Klasse in opennlp.tools.formats.conllu: Note: Do not use this class, internal use only!
ConlluSentence - Klasse in opennlp.tools.formats.conllu
ConlluSentence(List<ConlluWordLine>, String, String, boolean, String, boolean, String, Map<Locale, String>, String) - Konstruktor für Klasse opennlp.tools.formats.conllu.ConlluSentence
ConlluSentenceSampleStream - Klasse in opennlp.tools.formats.conllu
ConlluSentenceSampleStream(ObjectStream<ConlluSentence>, int) - Konstruktor für Klasse opennlp.tools.formats.conllu.ConlluSentenceSampleStream: Initializes a ConlluSentenceSampleStream.
ConlluSentenceSampleStreamFactory - Klasse in opennlp.tools.formats.conllu: Note: Do not use this class, internal use only!
ConlluStream - Klasse in opennlp.tools.formats.conllu: The CoNNL-U Format is specified here.
ConlluStream(InputStreamFactory) - Konstruktor für Klasse opennlp.tools.formats.conllu.ConlluStream: Initializes a ConlluStream.
ConlluTagset - Enum-Klasse in opennlp.tools.formats.conllu
ConlluTokenSampleStream - Klasse in opennlp.tools.formats.conllu
ConlluTokenSampleStream(ObjectStream<ConlluSentence>) - Konstruktor für Klasse opennlp.tools.formats.conllu.ConlluTokenSampleStream: Initializes a ConlluTokenSampleStream.
ConlluTokenSampleStreamFactory - Klasse in opennlp.tools.formats.conllu: Note: Do not use this class, internal use only!
ConlluWordLine - Klasse in opennlp.tools.formats.conllu
CONLLX_FORMAT - Statische Variable in Klasse opennlp.tools.formats.ConllXPOSSampleStreamFactory
ConllXPOSSampleStream - Klasse in opennlp.tools.formats: Parses the data from the CONLL 06 shared task into POS Samples.
ConllXPOSSampleStream(InputStreamFactory, Charset) - Konstruktor für Klasse opennlp.tools.formats.ConllXPOSSampleStream: Initializes a ConllXPOSSampleStream.
ConllXPOSSampleStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.formats.ConllXPOSSampleStream: Initializes a ConllXPOSSampleStream.
ConllXPOSSampleStreamFactory - Klasse in opennlp.tools.formats: Note: Do not use this class, internal use only!
ConllXSentenceSampleStreamFactory - Klasse in opennlp.tools.formats: Note: Do not use this class, internal use only!
ConllXTokenSampleStreamFactory - Klasse in opennlp.tools.formats: Note: Do not use this class, internal use only!
Cons - Klasse in opennlp.tools.parser: Holds feature information about a specific Parse node.
Cons(String, String, int, boolean) - Konstruktor für Klasse opennlp.tools.parser.Cons
ConstitParseSampleStream - Klasse in opennlp.tools.formats.frenchtreebank
ConstitParseSampleStreamFactory - Klasse in opennlp.tools.formats.frenchtreebank: Note: Do not use this class, internal use only!
Constituent - Klasse in opennlp.tools.parser: Holds constituents when reading parses.
Constituent(String, Span) - Konstruktor für Klasse opennlp.tools.parser.Constituent
constructModel() - Methode in Klasse opennlp.tools.ml.maxent.io.GISModelReader: Retrieves a model from disk.
constructModel() - Methode in Klasse opennlp.tools.ml.maxent.io.QNModelReader: Retrieves a model from disk.
constructModel() - Methode in Klasse opennlp.tools.ml.model.AbstractModelReader: Constructs a model.
constructModel() - Methode in Klasse opennlp.tools.ml.model.GenericModelReader
constructModel() - Methode in Klasse opennlp.tools.ml.naivebayes.NaiveBayesModelReader: Constructs a model.
constructModel() - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronModelReader: Constructs a model.
CONT - Statische Variable in Klasse opennlp.tools.parser.AbstractBottomUpParser: Prefix for outcomes continuing a constituent.
contains(int) - Methode in Klasse opennlp.tools.ml.model.MutableContext
contains(int) - Methode in Klasse opennlp.tools.util.Span: An index with the value of end is considered outside the Span.
contains(CharSequence) - Methode in Klasse opennlp.tools.ngram.NGramCharModel: Checks if the given ngram is contained in a NGramCharModel.
contains(String) - Methode in Klasse opennlp.tools.dictionary.Index: Checks if at least one StringList contains the specified token.
contains(Span) - Methode in Klasse opennlp.tools.util.Span: Identical spans are considered to contain each other.
contains(StringList) - Methode in Klasse opennlp.tools.dictionary.Dictionary: Checks if this dictionary has the given entry.
contains(StringList) - Methode in Klasse opennlp.tools.ngram.NGramModel: Checks fit he given tokens are contained by the current instance.
containsComma() - Methode in Klasse opennlp.tools.util.featuregen.StringPattern
containsDigit() - Methode in Klasse opennlp.tools.util.featuregen.StringPattern
containsHyphen() - Methode in Klasse opennlp.tools.util.featuregen.StringPattern
containsLetters() - Methode in Klasse opennlp.tools.util.featuregen.StringPattern
containsPeriod() - Methode in Klasse opennlp.tools.util.featuregen.StringPattern
containsSlash() - Methode in Klasse opennlp.tools.util.featuregen.StringPattern
ContentHandler() - Konstruktor für Klasse opennlp.tools.formats.muc.SgmlParser.ContentHandler
context() - Methode in Datensatzklasse opennlp.tools.langdetect.LanguageSample: Gibt den Wert für die Datensatzkomponente context zurück.
Context - Klasse in opennlp.tools.ml.model: Class which associates a real valued parameter or expected value with a particular contextual predicate or feature.
Context(int[], double[]) - Konstruktor für Klasse opennlp.tools.ml.model.Context: Creates a new parameters object with the specified parameters associated with the specified outcome pattern.
ContextGenerator<T> - Schnittstelle in opennlp.tools.ml.maxent: Represents a generator of contexts for maxent decisions.
CONTINUE - Statische Variable in Klasse opennlp.tools.namefind.BilouCodec
CONTINUE - Statische Variable in Klasse opennlp.tools.namefind.BioCodec
CONTINUE - Statische Variable in Klasse opennlp.tools.namefind.NameFinderME
CONVERGE_TOLERANCE - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer
convertFuncTag(String, boolean) - Statische Methode in Klasse opennlp.tools.formats.ad.ADChunkSampleStream
convertTag(String) - Methode in Klasse opennlp.tools.postag.POSTagFormatMapper: Converts a given tag to the specified format.
convertTag(String) - Methode in Klasse opennlp.tools.postag.POSTagFormatMapper.NoOp
convertTags(List<String>) - Methode in Klasse opennlp.tools.postag.POSTagFormatMapper: Converts a list of tags to the specified format.
convertTags(List<String>) - Methode in Klasse opennlp.tools.postag.POSTagFormatMapper.NoOp
correctlyClassified(DocumentSample, DocumentSample) - Methode in Klasse opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener
correctlyClassified(LanguageSample, LanguageSample) - Methode in Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener
correctlyClassified(LemmaSample, LemmaSample) - Methode in Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener
correctlyClassified(NameSample, NameSample) - Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
correctlyClassified(POSSample, POSSample) - Methode in Klasse opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
correctlyClassified(T, T) - Methode in Schnittstelle opennlp.tools.util.eval.EvaluationMonitor
count() - Methode in Klasse opennlp.tools.util.eval.Mean
create() - Methode in Klasse opennlp.tools.util.featuregen.AggregatedFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.BigramNameFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.CachedFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.CharacterNgramFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.DefinitionFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.DocumentBeginFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.PosTaggerFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.PrefixFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.PreviousMapFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.SentenceFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.SuffixFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.TokenClassFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.TokenFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.TokenPatternFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.TrigramNameFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.WindowFeatureGeneratorFactory
create() - Methode in Klasse opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory
create(InputStream) - Methode in Klasse opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer
create(InputStream) - Methode in Klasse opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer
create(InputStream) - Statische Methode in Klasse opennlp.tools.postag.POSDictionary: Creates a new POSDictionary from an InputStream.
create(InputStream) - Methode in Klasse opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer
create(InputStream) - Methode in Klasse opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer
create(InputStream) - Methode in Klasse opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer
create(InputStream) - Methode in Schnittstelle opennlp.tools.util.model.ArtifactSerializer: Creates an artifact from the provided InputStream.
create(InputStream) - Methode in Klasse opennlp.tools.util.model.ByteArraySerializer
create(InputStream) - Methode in Klasse opennlp.tools.util.model.ChunkerModelSerializer
create(InputStream) - Methode in Klasse opennlp.tools.util.model.DictionarySerializer
create(InputStream) - Methode in Klasse opennlp.tools.util.model.GenericModelSerializer
create(InputStream) - Methode in Klasse opennlp.tools.util.model.POSModelSerializer
create(InputStream, EntryInserter) - Statische Methode in Klasse opennlp.tools.dictionary.serializer.DictionaryEntryPersistor: Creates Entrys from the given InputStream and forwards these Entrys to the EntryInserter.
create(InputStream, FeatureGeneratorResourceProvider) - Statische Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory: Creates an AdaptiveFeatureGenerator from an provided XML descriptor.
create(Class<? extends BaseToolFactory>, ArtifactProvider) - Statische Methode in Klasse opennlp.tools.util.BaseToolFactory: Instantiates a BaseToolFactory via a given subclassName.
create(String) - Statische Methode in Klasse opennlp.tools.chunker.ChunkerFactory: Instantiates a ChunkerFactory via a given subclassName.
create(String) - Statische Methode in Klasse opennlp.tools.langdetect.LanguageDetectorFactory: Instantiates a LanguageDetectorFactory via a given subclassName.
create(String) - Statische Methode in Klasse opennlp.tools.lemmatizer.LemmatizerFactory: Instantiates a LemmatizerFactory via a given subclassName.
create(String[]) - Methode in Klasse opennlp.tools.formats.ad.ADChunkSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.ad.ADNameSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.ad.ADPOSSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.ad.ADSentenceSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.ad.ADTokenSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.BioNLP2004NameSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.brat.BratNameSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.ChunkerSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.Conll02NameSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.Conll03NameSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.conllu.ConlluLemmaSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.conllu.ConlluSentenceSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.conllu.ConlluTokenSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.ConllXPOSSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.ConllXSentenceSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.ConllXTokenSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.convert.NameToSentenceSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.convert.NameToTokenSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.convert.ParseToPOSSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.convert.ParseToSentenceSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.convert.ParseToTokenSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.convert.POSToSentenceSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.convert.POSToTokenSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.DocumentSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.EvalitaNameSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankSentenceStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankTokenSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.LanguageDetectorSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.LemmatizerSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.letsmt.LetsmtSentenceStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.masc.MascNamedEntitySampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.masc.MascPOSSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.masc.MascSentenceSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.masc.MascTokenSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.moses.MosesSentenceSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.muc.Muc6NameSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.NameSampleDataStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.nkjp.NKJPSentenceSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.ontonotes.OntoNotesParseSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.ontonotes.OntoNotesPOSSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.ParseSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.SentenceSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.TokenSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.TwentyNewsgroupSampleStreamFactory
create(String[]) - Methode in Klasse opennlp.tools.formats.WordTagSampleStreamFactory
create(String[], String[]) - Statische Methode in Datensatzklasse opennlp.tools.util.TokenTag
create(String, byte[], Map<String, Object>, TagDictionary) - Statische Methode in Klasse opennlp.tools.postag.POSTaggerFactory: Instantiates a POSTaggerFactory via a given subclassName.
create(String, byte[], Map<String, Object>, SequenceCodec<String>) - Statische Methode in Klasse opennlp.tools.namefind.TokenNameFinderFactory: Initializes a TokenNameFinderFactory instance via given parameters.
create(String, String, boolean, Dictionary, char[]) - Statische Methode in Klasse opennlp.tools.sentdetect.SentenceDetectorFactory: Instantiates a SentenceDetectorFactory via a given subclassName.
create(String, String, Dictionary, boolean, Pattern) - Statische Methode in Klasse opennlp.tools.tokenize.TokenizerFactory: Factory method the framework uses instantiate a new TokenizerFactory.
create(String, FeatureGenerator[]) - Statische Methode in Klasse opennlp.tools.doccat.DoccatFactory: Factory method the framework uses create a new DoccatFactory.
create(String, ArtifactProvider) - Statische Methode in Klasse opennlp.tools.util.BaseToolFactory: Instantiates a BaseToolFactory via a given subclassName.
create(ParserModel) - Statische Methode in Klasse opennlp.tools.parser.ParserFactory: Instantiates a Parser via a given model and default configuration parameters (see: AbstractBottomUpParser).
create(ParserModel, int, double) - Statische Methode in Klasse opennlp.tools.parser.ParserFactory: Instantiates a Parser via a given model and other configuration parameters.
createArtifactMap() - Methode in Klasse opennlp.tools.postag.POSTaggerFactory
createArtifactMap() - Methode in Klasse opennlp.tools.sentdetect.SentenceDetectorFactory
createArtifactMap() - Methode in Klasse opennlp.tools.tokenize.TokenizerFactory
createArtifactMap() - Methode in Klasse opennlp.tools.util.BaseToolFactory: A model's implementation should call this constructor that creates a model programmatically.
createArtifactSerializers() - Statische Methode in Klasse opennlp.tools.namefind.TokenNameFinderModel: Create the serializers.
createArtifactSerializersMap() - Methode in Klasse opennlp.tools.postag.POSTaggerFactory
createArtifactSerializersMap() - Methode in Klasse opennlp.tools.util.BaseToolFactory: Creates a Map with pairs of keys and ArtifactSerializer.
createContextGenerator() - Methode in Klasse opennlp.tools.namefind.TokenNameFinderFactory: Creates and configures a new NameContextGenerator in a default combination.
createDefaultTrainingParameters() - Statische Methode in Klasse opennlp.tools.util.model.ModelUtil: Creates the default TrainingParameters in case they are not provided.
createDictionary(ObjectStream<StringList>) - Statische Methode in Klasse opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool: Creates a dictionary.
createDocumentBuilder() - Statische Methode in Klasse opennlp.tools.util.XmlUtil: Create a new DocumentBuilder which processes XML securely.
createEmptyTagDictionary() - Methode in Klasse opennlp.tools.postag.POSTaggerFactory
createEndOfSentenceScanner(char[]) - Methode in Klasse opennlp.tools.sentdetect.lang.Factory
createEndOfSentenceScanner(String) - Methode in Klasse opennlp.tools.sentdetect.lang.Factory
createFeatureGenerators() - Methode in Klasse opennlp.tools.namefind.TokenNameFinderFactory: Creates the AdaptiveFeatureGenerator.
createFeatureGenerators() - Methode in Klasse opennlp.tools.postag.POSTaggerFactory: Creates the AdaptiveFeatureGenerator.
createFeatures(List<String>, String[], int, String[]) - Methode in Schnittstelle opennlp.tools.util.featuregen.AdaptiveFeatureGenerator: Adds the appropriate features for the token at the specified index with the specified array of previousOutcomes to the specified list of features.
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.AggregatedFeatureGenerator: Calls the AdaptiveFeatureGenerator.createFeatures(List, String[], int, String[]) method on all aggregated AdaptiveFeatureGenerators.
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.BigramNameFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.BrownBigramFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.BrownTokenClassFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.BrownTokenFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.CachedFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.CharacterNgramFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.DictionaryFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.InSpanGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.OutcomePriorFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.PosTaggerFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.PrefixFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator: Generates previous decision features for the token based on contents of the previous map.
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.SentenceFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.SuffixFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.TokenClassFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.TokenFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.TokenPatternFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.TrigramNameFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.WindowFeatureGenerator
createFeatures(List<String>, String[], int, String[]) - Methode in Klasse opennlp.tools.util.featuregen.WordClusterFeatureGenerator
createInputStream() - Methode in Schnittstelle opennlp.tools.util.InputStreamFactory
createInputStream() - Methode in Klasse opennlp.tools.util.MarkableFileInputStreamFactory
createManifestEntries() - Methode in Klasse opennlp.tools.doccat.DoccatFactory
createManifestEntries() - Methode in Klasse opennlp.tools.sentdetect.SentenceDetectorFactory
createManifestEntries() - Methode in Klasse opennlp.tools.tokenize.TokenizerFactory
createManifestEntries() - Methode in Klasse opennlp.tools.util.BaseToolFactory
createObjectStream(Collection<T>) - Statische Methode in Klasse opennlp.tools.util.ObjectStreamUtils: Creates an ObjectStream form a Collection<T>.
createObjectStream(T...) - Statische Methode in Klasse opennlp.tools.util.ObjectStreamUtils: Creates an ObjectStream form an array of ObjectStreamUtils.
createSaxParser() - Statische Methode in Klasse opennlp.tools.util.XmlUtil: Create a new SAXParser which processes XML securely.
createSentenceContextGenerator(String) - Methode in Klasse opennlp.tools.sentdetect.lang.Factory
createSentenceContextGenerator(String, Set<String>) - Methode in Klasse opennlp.tools.sentdetect.lang.Factory
createSentenceContextGenerator(Set<String>, char[]) - Methode in Klasse opennlp.tools.sentdetect.lang.Factory
createSequenceCodec() - Methode in Klasse opennlp.tools.namefind.TokenNameFinderFactory
createSequenceValidator() - Methode in Klasse opennlp.tools.namefind.BilouCodec
createSequenceValidator() - Methode in Klasse opennlp.tools.namefind.BioCodec
createSequenceValidator() - Methode in Schnittstelle opennlp.tools.util.SequenceCodec
createTagDictionary(File) - Methode in Klasse opennlp.tools.postag.POSTaggerFactory: Initializes a TagDictionary from a dictionary file.
createTagDictionary(InputStream) - Methode in Klasse opennlp.tools.postag.POSTaggerFactory: Initializes a TagDictionary from a dictionary stream.
createTokenContextGenerator(String, Set<String>) - Methode in Klasse opennlp.tools.tokenize.lang.Factory: Initializes a customized TokenContextGenerator via a set of abbreviations.
crosses(Span) - Methode in Klasse opennlp.tools.util.Span: Checks if the specified Span crosses this span.
CrossValidationPartitioner<E> - Klasse in opennlp.tools.util.eval: Provides access to training and test partitions for n-fold cross validation.
CrossValidationPartitioner(Collection<E>, int) - Konstruktor für Klasse opennlp.tools.util.eval.CrossValidationPartitioner: Initializes CrossValidationPartitioner instance.
CrossValidationPartitioner(ObjectStream<E>, int) - Konstruktor für Klasse opennlp.tools.util.eval.CrossValidationPartitioner: Initializes CrossValidationPartitioner instance.
CrossValidationPartitioner.TrainingSampleStream<E> - Klasse in opennlp.tools.util.eval: The CrossValidationPartitioner.TrainingSampleStream which iterates over all training elements.
currentVersion() - Statische Methode in Klasse opennlp.tools.util.Version
CUSTOM - Enum-Konstante in Enum-Klasse opennlp.tools.postag.POSTagFormat
cutoff(int, int) - Methode in Klasse opennlp.tools.ngram.NGramCharModel: Deletes all ngram which do appear less than the cutoffUnder value and more often than the cutoffOver value.
cutoff(int, int) - Methode in Klasse opennlp.tools.ngram.NGramModel: Deletes all ngram which do appear less than the cutoffUnder value and more often than the cutoffOver value.
CUTOFF_DEFAULT_VALUE - Statische Variable in Klasse opennlp.tools.util.TrainingParameters: The default cut off value is 5.
CUTOFF_PARAM - Statische Variable in Klasse opennlp.tools.util.TrainingParameters
CVParams - Schnittstelle in opennlp.tools.cmdline.params: Common cross validator parameters.

D

DANISH - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
danishStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
danishStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.danishStemmer
DATA_INDEXER_ONE_PASS_REAL_VALUE - Statische Variable in Klasse opennlp.tools.ml.AbstractEventTrainer
DATA_INDEXER_ONE_PASS_VALUE - Statische Variable in Klasse opennlp.tools.ml.AbstractEventTrainer
DATA_INDEXER_PARAM - Statische Variable in Klasse opennlp.tools.ml.AbstractEventTrainer
DATA_INDEXER_TWO_PASS_VALUE - Statische Variable in Klasse opennlp.tools.ml.AbstractEventTrainer
DataIndexer - Schnittstelle in opennlp.tools.ml.model: Represents an indexer which compresses events in memory and performs feature selection.
DataIndexerFactory - Klasse in opennlp.tools.ml.model: A factory that produces DataIndexer instances.
DataIndexerFactory() - Konstruktor für Klasse opennlp.tools.ml.model.DataIndexerFactory
DataReader - Schnittstelle in opennlp.tools.ml.model: Describes generic ways to read data from a DataInputStream.
DataStream - Schnittstelle in opennlp.tools.ml.maxent: An interface for objects which can deliver a stream of training data to be supplied to an EventStream.
DE - Enum-Konstante in Enum-Klasse opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE
decode(List<String>) - Methode in Klasse opennlp.tools.namefind.BilouCodec
decode(List<String>) - Methode in Klasse opennlp.tools.namefind.BioCodec
decode(List<T>) - Methode in Schnittstelle opennlp.tools.util.SequenceCodec: Decodes a sequence of objects into Span objects.
decodeLemmas(String[], String[]) - Statische Methode in Klasse opennlp.tools.lemmatizer.LemmatizerME: Decodes the lemma from the word and the induced lemma class.
decodeShortestEditScript(String, String) - Statische Methode in Klasse opennlp.tools.util.StringUtil: Reads the predicted Shortest Edit Script (SES) by a lemmatizer model and applies the permutations to obtain the lemma from the wordForm.
DEFAULT_ALPHANUMERIC - Statische Variable in Klasse opennlp.tools.tokenize.lang.Factory
DEFAULT_BEAM_SIZE - Statische Variable in Klasse opennlp.tools.chunker.ChunkerME
DEFAULT_BEAM_SIZE - Statische Variable in Klasse opennlp.tools.lemmatizer.LemmatizerME
DEFAULT_BEAM_SIZE - Statische Variable in Klasse opennlp.tools.namefind.NameFinderME
DEFAULT_BEAM_SIZE - Statische Variable in Klasse opennlp.tools.postag.POSTaggerME
DEFAULT_CHUNK_SIZE - Statische Variable in Klasse opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_LANGUAGE_DETECTOR_CONFIG - Statische Variable in Klasse opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_MAX_LENGTH - Statische Variable in Klasse opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_MIN_CONSEC_IMPROVEMENTS - Statische Variable in Klasse opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_MIN_DIFF - Statische Variable in Klasse opennlp.tools.langdetect.LanguageDetectorConfig
DEFAULT_PREFIX - Statische Variable in Schnittstelle opennlp.tools.util.SequenceCodec
DEFAULT_SEPARATOR_CHARS - Statische Variable in Klasse opennlp.tools.tokenize.TokenSample
DEFAULT_TYPE - Statische Variable in Klasse opennlp.tools.namefind.NameSample: The default type value when there is no type in training data.
defaultAdvancePercentage - Statische Variable in Klasse opennlp.tools.parser.AbstractBottomUpParser: The default amount of probability mass required of advanced outcomes.
defaultBeamSize - Statische Variable in Klasse opennlp.tools.parser.AbstractBottomUpParser: The default beam size used if no beam size is given.
DefaultChunkerContextGenerator - Klasse in opennlp.tools.chunker: Features based on chunking model described in Fei Sha and Fernando Pereira.
DefaultChunkerContextGenerator() - Konstruktor für Klasse opennlp.tools.chunker.DefaultChunkerContextGenerator: Initializes a DefaultChunkerContextGenerator instance.
DefaultChunkerSequenceValidator - Klasse in opennlp.tools.chunker: The default chunker SequenceValidator implementation.
DefaultChunkerSequenceValidator() - Konstruktor für Klasse opennlp.tools.chunker.DefaultChunkerSequenceValidator
DefaultEndOfSentenceScanner - Klasse in opennlp.tools.sentdetect: Default implementation of the EndOfSentenceScanner.
DefaultEndOfSentenceScanner(char[]) - Konstruktor für Klasse opennlp.tools.sentdetect.DefaultEndOfSentenceScanner: Initializes the current instance.
defaultEosCharacters - Statische Variable in Klasse opennlp.tools.sentdetect.lang.Factory
DefaultLanguageDetectorContextGenerator - Klasse in opennlp.tools.langdetect: A context generator for language detector.
DefaultLanguageDetectorContextGenerator(int, int, CharSequenceNormalizer...) - Konstruktor für Klasse opennlp.tools.langdetect.DefaultLanguageDetectorContextGenerator: Creates a customizable DefaultLanguageDetectorContextGenerator that computes ngrams from text.
DefaultLemmatizerContextGenerator - Klasse in opennlp.tools.lemmatizer: Simple feature generator for learning statistical lemmatizers.
DefaultLemmatizerContextGenerator() - Konstruktor für Klasse opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
DefaultLemmatizerSequenceValidator - Klasse in opennlp.tools.lemmatizer: The default lemmatizer SequenceValidator implementation.
DefaultLemmatizerSequenceValidator() - Konstruktor für Klasse opennlp.tools.lemmatizer.DefaultLemmatizerSequenceValidator
DefaultNameContextGenerator - Klasse in opennlp.tools.namefind: A NameContextGenerator implementation for determining contextual features for a tag-chunk style named-entity recognizer.
DefaultNameContextGenerator(AdaptiveFeatureGenerator...) - Konstruktor für Klasse opennlp.tools.namefind.DefaultNameContextGenerator: Creates a name context generator with the specified feature generators.
defaultParams() - Statische Methode in Klasse opennlp.tools.util.TrainingParameters
DefaultPOSContextGenerator - Klasse in opennlp.tools.postag: A default context generator for a POSTagger.
DefaultPOSContextGenerator(int, Dictionary) - Konstruktor für Klasse opennlp.tools.postag.DefaultPOSContextGenerator: Initializes a DefaultPOSContextGenerator instance.
DefaultPOSContextGenerator(Dictionary) - Konstruktor für Klasse opennlp.tools.postag.DefaultPOSContextGenerator: Initializes a DefaultPOSContextGenerator instance.
DefaultPOSSequenceValidator - Klasse in opennlp.tools.postag: The default POS tagger SequenceValidator implementation.
DefaultPOSSequenceValidator(TagDictionary) - Konstruktor für Klasse opennlp.tools.postag.DefaultPOSSequenceValidator
DefaultSDContextGenerator - Klasse in opennlp.tools.sentdetect: Generate event contexts for maxent decisions for sentence detection.
DefaultSDContextGenerator(char[]) - Konstruktor für Klasse opennlp.tools.sentdetect.DefaultSDContextGenerator: Creates a new instance with no induced abbreviations.
DefaultSDContextGenerator(Set<String>, char[]) - Konstruktor für Klasse opennlp.tools.sentdetect.DefaultSDContextGenerator: Creates a new SDContextGenerator instance which uses the set of induced abbreviations.
DefaultTokenContextGenerator - Klasse in opennlp.tools.tokenize: A default TokenContextGenerator which produces events for maxent decisions for tokenization.
DefaultTokenContextGenerator() - Konstruktor für Klasse opennlp.tools.tokenize.DefaultTokenContextGenerator: Initializes a plain DefaultTokenContextGenerator instance.
DefaultTokenContextGenerator(Set<String>) - Konstruktor für Klasse opennlp.tools.tokenize.DefaultTokenContextGenerator: Initializes a customized DefaultTokenContextGenerator instance via a set of inducedAbbreviations.
DefinitionFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
DefinitionFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.DefinitionFeatureGeneratorFactory
DEGREES_MIN_SEC_LAT_LON - Enum-Konstante in Enum-Klasse opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
DetokenEvaluationErrorListener - Klasse in opennlp.tools.cmdline.tokenizer: A default implementation of EvaluationMonitor that prints to an output stream.
DetokenEvaluationErrorListener() - Konstruktor für Klasse opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener: Creates a listener that will print to the configured logger.
DetokenEvaluationErrorListener(OutputStream) - Konstruktor für Klasse opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener: Creates a listener that will print to a given OutputStream.
DetokenizationDictionary - Klasse in opennlp.tools.tokenize
DetokenizationDictionary(File) - Konstruktor für Klasse opennlp.tools.tokenize.DetokenizationDictionary: Initializes a DetokenizationDictionary instance via a valid File.
DetokenizationDictionary(InputStream) - Konstruktor für Klasse opennlp.tools.tokenize.DetokenizationDictionary: Initializes a DetokenizationDictionary instance via a valid InputStream.
DetokenizationDictionary(String[], DetokenizationDictionary.Operation[]) - Konstruktor für Klasse opennlp.tools.tokenize.DetokenizationDictionary: Initializes a DetokenizationDictionary instance.
DetokenizationDictionary(Path) - Konstruktor für Klasse opennlp.tools.tokenize.DetokenizationDictionary: Initializes a DetokenizationDictionary instance via a valid Path.
DetokenizationDictionary.Operation - Enum-Klasse in opennlp.tools.tokenize
detokenize(String[]) - Methode in Schnittstelle opennlp.tools.tokenize.Detokenizer: Detokenizes the collection of tokens.
detokenize(String[]) - Methode in Klasse opennlp.tools.tokenize.DictionaryDetokenizer
detokenize(String[], String) - Methode in Schnittstelle opennlp.tools.tokenize.Detokenizer: Detokenizes the input tokens into a String.
detokenize(String[], String) - Methode in Klasse opennlp.tools.tokenize.DictionaryDetokenizer
Detokenizer - Schnittstelle in opennlp.tools.tokenize: A Detokenizer merges tokens back to their detokenized representation.
Detokenizer.DetokenizationOperation - Enum-Klasse in opennlp.tools.tokenize: This enum contains an operation for every token to merge the tokens together to their detokenized form.
DetokenizerEvaluator - Klasse in opennlp.tools.tokenize: The DetokenizerEvaluator measures the performance of the given Detokenizer with the provided reference samples.
DetokenizerEvaluator(Detokenizer, DetokenEvaluationErrorListener...) - Konstruktor für Klasse opennlp.tools.tokenize.DetokenizerEvaluator: Initializes the current instance with the given Detokenizer.
DetokenizerParameter - Schnittstelle in opennlp.tools.cmdline.params
DetokenizerSampleStreamFactory<T,P> - Klasse in opennlp.tools.formats: Base class for factories which need a Detokenizer.
DetokenizeSentenceSampleStream - Klasse in opennlp.tools.formats.letsmt
DetokenizeSentenceSampleStream(Detokenizer, ObjectStream<SentenceSample>) - Konstruktor für Klasse opennlp.tools.formats.letsmt.DetokenizeSentenceSampleStream: Initializes a DetokenizeSentenceSampleStream.
DEV_VERSION - Statische Variable in Klasse opennlp.tools.util.Version
Dictionary - Klasse in opennlp.tools.dictionary: An iterable and serializable dictionary implementation.
Dictionary() - Konstruktor für Klasse opennlp.tools.dictionary.Dictionary: Initializes an empty Dictionary.
Dictionary(boolean) - Konstruktor für Klasse opennlp.tools.dictionary.Dictionary: Initializes an empty Dictionary.
Dictionary(InputStream) - Konstruktor für Klasse opennlp.tools.dictionary.Dictionary: Initializes the Dictionary from an existing dictionary resource.
DictionaryBuilderTool - Klasse in opennlp.tools.cmdline.dictionary
DictionaryBuilderTool() - Konstruktor für Klasse opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
DictionaryDetokenizer - Klasse in opennlp.tools.tokenize: A rule based detokenizer.
DictionaryDetokenizer(DetokenizationDictionary) - Konstruktor für Klasse opennlp.tools.tokenize.DictionaryDetokenizer: Initializes a DictionaryDetokenizer instance.
DictionaryDetokenizerTool - Klasse in opennlp.tools.cmdline.tokenizer
DictionaryDetokenizerTool() - Konstruktor für Klasse opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
DictionaryEntryPersistor - Klasse in opennlp.tools.dictionary.serializer: A persistor used by for reading and writing dictionaries of all kinds.
DictionaryEntryPersistor() - Konstruktor für Klasse opennlp.tools.dictionary.serializer.DictionaryEntryPersistor
DictionaryFeatureGenerator - Klasse in opennlp.tools.util.featuregen: The DictionaryFeatureGenerator uses the DictionaryNameFinder to generated features for detected names based on the InSpanGenerator.
DictionaryFeatureGenerator(String, Dictionary) - Konstruktor für Klasse opennlp.tools.util.featuregen.DictionaryFeatureGenerator
DictionaryFeatureGenerator(Dictionary) - Konstruktor für Klasse opennlp.tools.util.featuregen.DictionaryFeatureGenerator
DictionaryFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
DictionaryFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory
DictionaryLemmatizer - Klasse in opennlp.tools.lemmatizer: A Lemmatizer implementation that works by simple dictionary lookup into a Map built from a file containing, for each line:
DictionaryLemmatizer(File) - Konstruktor für Klasse opennlp.tools.lemmatizer.DictionaryLemmatizer: Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.
DictionaryLemmatizer(File, Charset) - Konstruktor für Klasse opennlp.tools.lemmatizer.DictionaryLemmatizer: Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.
DictionaryLemmatizer(InputStream) - Konstruktor für Klasse opennlp.tools.lemmatizer.DictionaryLemmatizer: Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.
DictionaryLemmatizer(InputStream, Charset) - Konstruktor für Klasse opennlp.tools.lemmatizer.DictionaryLemmatizer: Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.
DictionaryLemmatizer(Path) - Konstruktor für Klasse opennlp.tools.lemmatizer.DictionaryLemmatizer: Initializes a DictionaryLemmatizer and related HashMap from the input tab separated dictionary.
DictionaryNameFinder - Klasse in opennlp.tools.namefind: This is a Dictionary based name finder.
DictionaryNameFinder(Dictionary) - Konstruktor für Klasse opennlp.tools.namefind.DictionaryNameFinder: Initializes a DictionaryNameFinder with the provided Dictionary and DictionaryNameFinder.DEFAULT_TYPE.
DictionaryNameFinder(Dictionary, String) - Konstruktor für Klasse opennlp.tools.namefind.DictionaryNameFinder: Initializes a DictionaryNameFinder with the provided Dictionary and a type.
DictionarySerializer - Klasse in opennlp.tools.util.model: An ArtifactSerializer implementation for dictionaries.
DictionarySerializer() - Konstruktor für Klasse opennlp.tools.util.model.DictionarySerializer
digits() - Methode in Klasse opennlp.tools.util.featuregen.StringPattern: Retrieves the number of digits.
dimension() - Methode in Schnittstelle opennlp.tools.util.wordvector.WordVector
dimension() - Methode in Schnittstelle opennlp.tools.util.wordvector.WordVectorTable
DirectorySampleStream - Klasse in opennlp.tools.formats: The directory sample stream allows for creating an ObjectStream<File> from a directory listing of files.
DirectorySampleStream(File[], FileFilter, boolean) - Konstruktor für Klasse opennlp.tools.formats.DirectorySampleStream: Initializes a DirectorySampleStream.
DirectorySampleStream(File, FileFilter, boolean) - Konstruktor für Klasse opennlp.tools.formats.DirectorySampleStream: Initializes a DirectorySampleStream.
discardCountsBelow(double) - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbabilities
discardCountsBelow(double) - Methode in Klasse opennlp.tools.ml.naivebayes.Probabilities
DoccatConverterTool - Klasse in opennlp.tools.cmdline.doccat: Tool to convert multiple data formats into native OpenNLP doccat training format.
DoccatConverterTool() - Konstruktor für Klasse opennlp.tools.cmdline.doccat.DoccatConverterTool
DoccatCrossValidator - Klasse in opennlp.tools.doccat: Cross validator for DocumentCategorizer.
DoccatCrossValidator(String, TrainingParameters, DoccatFactory, DoccatEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.doccat.DoccatCrossValidator: Instantiates a DoccatCrossValidator with the given generators.
DoccatCrossValidatorTool - Klasse in opennlp.tools.cmdline.doccat
DoccatCrossValidatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.doccat.DoccatCrossValidatorTool
DoccatEvaluationErrorListener - Klasse in opennlp.tools.cmdline.doccat: A default implementation of EvaluationMonitor that prints to an output stream.
DoccatEvaluationErrorListener() - Konstruktor für Klasse opennlp.tools.cmdline.doccat.DoccatEvaluationErrorListener: Creates a listener that will print to the configured logger.
DoccatEvaluationErrorListener(OutputStream) - Konstruktor für Klasse opennlp.tools.cmdline.doccat.DoccatEvaluationErrorListener: Creates a listener that will print to a given OutputStream
DoccatEvaluationMonitor - Schnittstelle in opennlp.tools.doccat: A marker interface for evaluating doccat.
DoccatEvaluatorTool - Klasse in opennlp.tools.cmdline.doccat: A default DocumentSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.
DoccatEvaluatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.doccat.DoccatEvaluatorTool
DoccatFactory - Klasse in opennlp.tools.doccat: The factory that provides Doccat default implementations and resources.
DoccatFactory() - Konstruktor für Klasse opennlp.tools.doccat.DoccatFactory: Instantiates a DoccatFactory that provides the default implementation of the resources.
DoccatFactory(FeatureGenerator[]) - Konstruktor für Klasse opennlp.tools.doccat.DoccatFactory: Instantiates a DoccatFactory that provides the default implementation of the resources.
DoccatFineGrainedReportListener - Klasse in opennlp.tools.cmdline.doccat: Generates a detailed report for the POS Tagger.
DoccatFineGrainedReportListener() - Konstruktor für Klasse opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener: Creates a listener that will print to the configured logger.
DoccatFineGrainedReportListener(OutputStream) - Konstruktor für Klasse opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener: Creates a listener that prints to a given OutputStream
DoccatModel - Klasse in opennlp.tools.doccat: A model for document categorization
DoccatModel(File) - Konstruktor für Klasse opennlp.tools.doccat.DoccatModel: Initializes a DoccatModel instance via a valid File.
DoccatModel(InputStream) - Konstruktor für Klasse opennlp.tools.doccat.DoccatModel: Initializes a DoccatModel instance via a valid InputStream.
DoccatModel(String, MaxentModel, Map<String, String>, DoccatFactory) - Konstruktor für Klasse opennlp.tools.doccat.DoccatModel: Initializes a DoccatModel instance via given parameters.
DoccatModel(URL) - Konstruktor für Klasse opennlp.tools.doccat.DoccatModel: Initializes a DoccatModel instance via a valid URL.
DoccatModel(Path) - Konstruktor für Klasse opennlp.tools.doccat.DoccatModel: Initializes a DoccatModel instance via a valid Path.
DoccatModelLoader - Klasse in opennlp.tools.cmdline.doccat: Loads a DoccatModel for the command line tools.
DoccatModelLoader() - Konstruktor für Klasse opennlp.tools.cmdline.doccat.DoccatModelLoader
DoccatTool - Klasse in opennlp.tools.cmdline.doccat
DoccatTool() - Konstruktor für Klasse opennlp.tools.cmdline.doccat.DoccatTool
DoccatTrainerTool - Klasse in opennlp.tools.cmdline.doccat
DoccatTrainerTool() - Konstruktor für Klasse opennlp.tools.cmdline.doccat.DoccatTrainerTool
doConstrainedLineSearch(Function, double[], LineSearch.LineSearchResult, double, double) - Statische Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch: Conducts a constrained line search (see section 3.2 in the paper "Scalable Training of L1-Regularized Log-Linear Models", Andrew et al. 2007)
DOCSTART - Statische Variable in Klasse opennlp.tools.formats.Conll02NameSampleStream
DOCSTART - Statische Variable in Klasse opennlp.tools.formats.EvalitaNameSampleStream
DocumentBeginFeatureGenerator - Klasse in opennlp.tools.util.featuregen
DocumentBeginFeatureGenerator() - Konstruktor für Klasse opennlp.tools.util.featuregen.DocumentBeginFeatureGenerator
DocumentBeginFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
DocumentBeginFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.DocumentBeginFeatureGeneratorFactory
DocumentCategorizer - Schnittstelle in opennlp.tools.doccat: Interface for classes which categorize documents.
DocumentCategorizerEvaluator - Klasse in opennlp.tools.doccat: The DocumentCategorizerEvaluator measures the performance of the given DocumentCategorizer with the provided reference samples.
DocumentCategorizerEvaluator(DocumentCategorizer, DoccatEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.doccat.DocumentCategorizerEvaluator: Initializes a DocumentCategorizerEvaluator instance.
DocumentCategorizerEventStream - Klasse in opennlp.tools.doccat: Iterator-like class for modeling document classification events.
DocumentCategorizerEventStream(ObjectStream<DocumentSample>) - Konstruktor für Klasse opennlp.tools.doccat.DocumentCategorizerEventStream: Initializes a DocumentCategorizerEventStream via samples.
DocumentCategorizerEventStream(ObjectStream<DocumentSample>, FeatureGenerator...) - Konstruktor für Klasse opennlp.tools.doccat.DocumentCategorizerEventStream: Initializes a DocumentCategorizerEventStream via samples and feature generators.
DocumentCategorizerME - Klasse in opennlp.tools.doccat: A Max-Ent based implementation of DocumentCategorizer.
DocumentCategorizerME(DoccatModel) - Konstruktor für Klasse opennlp.tools.doccat.DocumentCategorizerME: Initializes a DocumentCategorizerME instance with a doccat model.
DocumentNameFinder - Schnittstelle in opennlp.tools.namefind: Interface for processing an entire document allowing a TokenNameFinder to use context from the entire document.
DocumentSample - Klasse in opennlp.tools.doccat: Class which holds a classified document and its category.
DocumentSample(String, String[]) - Konstruktor für Klasse opennlp.tools.doccat.DocumentSample: Initializes a instance.
DocumentSample(String, String[], Map<String, Object>) - Konstruktor für Klasse opennlp.tools.doccat.DocumentSample: Initializes a instance.
DocumentSampleStream - Klasse in opennlp.tools.doccat: Reads in string encoded training samples, parses them and outputs DocumentSample objects.
DocumentSampleStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.doccat.DocumentSampleStream: Initializes a instance.
DocumentSampleStreamFactory - Klasse in opennlp.tools.formats: Factory producing OpenNLP DocumentSampleStreams.
DocumentToLineStream - Klasse in opennlp.tools.formats.ontonotes: Reads a plain text file and return each line as a String object.
DocumentToLineStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.formats.ontonotes.DocumentToLineStream: Initializes a DocumentToLineStream.
doLineSearch(Function, double[], LineSearch.LineSearchResult, double) - Statische Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch: Conducts a backtracking line search (see Nocedal & Wright 2006, Numerical Optimization, p. 37).
DONE - Statische Variable in Klasse opennlp.tools.parser.treeinsert.Parser: Outcome used when a constituent needs an no additional parent node/building.
doTrain(DataIndexer) - Methode in Klasse opennlp.tools.ml.AbstractEventTrainer
doTrain(DataIndexer) - Methode in Klasse opennlp.tools.ml.maxent.GISTrainer
doTrain(DataIndexer) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer
doTrain(DataIndexer) - Methode in Klasse opennlp.tools.ml.naivebayes.NaiveBayesTrainer
doTrain(DataIndexer) - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronTrainer
doTrain(SequenceStream<Event>) - Methode in Klasse opennlp.tools.ml.AbstractEventModelSequenceTrainer
doTrain(SequenceStream<Event>) - Methode in Klasse opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
DOUBLE - Enum-Konstante in Enum-Klasse opennlp.tools.util.wordvector.WordVectorType
downloadModel(String, DownloadUtil.ModelType, Class<T>) - Statische Methode in Klasse opennlp.tools.util.DownloadUtil: Triggers a download for the specified DownloadUtil.ModelType.
downloadModel(URL, Class<T>) - Statische Methode in Klasse opennlp.tools.util.DownloadUtil: Downloads a model from a URL.
DownloadUtil - Klasse in opennlp.tools.util: This class facilitates the downloading of pretrained OpenNLP models.
DownloadUtil() - Konstruktor für Klasse opennlp.tools.util.DownloadUtil
DownloadUtil.ModelType - Enum-Klasse in opennlp.tools.util: The type of model.
dropOverlappingSpans(Span[]) - Statische Methode in Klasse opennlp.tools.namefind.NameFinderME: Removes spans with are intersecting or crossing in any way.
DUTCH - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
dutchStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
dutchStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.dutchStemmer
DynamicEvalParameters - Klasse in opennlp.tools.ml.model
DynamicEvalParameters(List<? extends Context>, int) - Konstruktor für Klasse opennlp.tools.ml.model.DynamicEvalParameters: Creates a set of parameters which can be evaluated with the eval method.

E

EMAIL - Enum-Konstante in Enum-Klasse opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
EmojiCharSequenceNormalizer - Klasse in opennlp.tools.util.normalizer: A EmojiCharSequenceNormalizer implementation that normalizes text in terms of emojis.
EmojiCharSequenceNormalizer() - Konstruktor für Klasse opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer
EmptyLinePreprocessorStream - Klasse in opennlp.tools.sentdetect: ObjectStream to clean up empty lines for empty line separated document streams.
- Skips empty line at training data start
- Transforms multiple empty lines in a row into one
- Replaces white space lines with empty lines
- TODO: Terminates last document with empty line if it is missing

This stream should be used by the components that mark empty lines to mark document boundaries.
EmptyLinePreprocessorStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.sentdetect.EmptyLinePreprocessorStream
EN - Enum-Konstante in Enum-Klasse opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE
encode(Span[], int) - Methode in Klasse opennlp.tools.namefind.BilouCodec
encode(Span[], int) - Methode in Klasse opennlp.tools.namefind.BioCodec
encode(Span[], int) - Methode in Schnittstelle opennlp.tools.util.SequenceCodec: Encodes Span objects into a sequence of objects.
encodeLemmas(String[], String[]) - Statische Methode in Klasse opennlp.tools.lemmatizer.LemmatizerME: Encodes the word given its lemmas.
EncodingParameter - Schnittstelle in opennlp.tools.cmdline.params: Encoding parameter.
END_TAG - Statische Variable in Klasse opennlp.tools.namefind.NameSampleDataStream
endElement(String) - Methode in Klasse opennlp.tools.formats.muc.MucNameContentHandler
endElement(String) - Methode in Klasse opennlp.tools.formats.muc.SgmlParser.ContentHandler
endElement(String, String, String) - Methode in Klasse opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler
endElement(String, String, String) - Methode in Klasse opennlp.tools.formats.masc.MascPennTagParser
EndOfSentenceScanner - Schnittstelle in opennlp.tools.sentdetect: Scans CharSequence, StringBuffer, and char[] for the offsets of sentence ending characters.
ENGLISH - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
englishStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
englishStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.englishStemmer
ENTITY_TYPE - Statische Variable in Klasse opennlp.tools.formats.brat.AnnotationConfiguration
EntityLinker<T> - Schnittstelle in opennlp.tools.entitylinker: EntityLinkers establish connections with external data to enrich extracted entities.
EntityLinkerFactory - Klasse in opennlp.tools.entitylinker: Generates a EntityLinker instances via a properties file configuration.
EntityLinkerFactory() - Konstruktor für Klasse opennlp.tools.entitylinker.EntityLinkerFactory
EntityLinkerProperties - Klasse in opennlp.tools.entitylinker: Properties wrapper for EntityLinker implementations.
EntityLinkerProperties(File) - Konstruktor für Klasse opennlp.tools.entitylinker.EntityLinkerProperties: Initializes EntityLinkerProperties via a File reference.
EntityLinkerProperties(InputStream) - Konstruktor für Klasse opennlp.tools.entitylinker.EntityLinkerProperties: Initializes EntityLinkerProperties via a InputStream reference.
EntityLinkerTool - Klasse in opennlp.tools.cmdline.entitylinker
EntityLinkerTool() - Konstruktor für Klasse opennlp.tools.cmdline.entitylinker.EntityLinkerTool
Entry - Datensatzklasse in opennlp.tools.dictionary.serializer: An Entry is a StringList which can optionally be mapped to attributes.
Entry(StringList, Attributes) - Konstruktor für Datensatzklasse opennlp.tools.dictionary.serializer.Entry: Erstellt eine Instanz einer Datensatzklasse Entry.
EntryInserter - Schnittstelle in opennlp.tools.dictionary.serializer
eosCharacters - Statische Variable in Klasse opennlp.tools.sentdetect.lang.th.SentenceContextGenerator
equals(Object) - Methode in Klasse opennlp.tools.chunker.ChunkSample
equals(Object) - Methode in Klasse opennlp.tools.dictionary.Dictionary
equals(Object) - Methode in Datensatzklasse opennlp.tools.dictionary.serializer.Entry: Gibt an, ob ein anderes Objekt diesem gleich ("equal to") ist.
equals(Object) - Methode in Klasse opennlp.tools.doccat.DocumentSample
equals(Object) - Methode in Klasse opennlp.tools.entitylinker.BaseLink
equals(Object) - Methode in Klasse opennlp.tools.entitylinker.LinkedSpan
equals(Object) - Methode in Klasse opennlp.tools.langdetect.Language
equals(Object) - Methode in Datensatzklasse opennlp.tools.langdetect.LanguageSample: Gibt an, ob ein anderes Objekt diesem gleich ("equal to") ist.
equals(Object) - Methode in Datensatzklasse opennlp.tools.langdetect.ProbingLanguageDetectionResult: Gibt an, ob ein anderes Objekt diesem gleich ("equal to") ist.
equals(Object) - Methode in Klasse opennlp.tools.lemmatizer.LemmaSample
equals(Object) - Methode in Klasse opennlp.tools.ml.maxent.GISModel
equals(Object) - Methode in Klasse opennlp.tools.ml.model.AbstractModel
equals(Object) - Methode in Klasse opennlp.tools.ml.model.ComparableEvent
equals(Object) - Methode in Klasse opennlp.tools.ml.model.ComparablePredicate
equals(Object) - Methode in Klasse opennlp.tools.ml.model.Context
equals(Object) - Methode in Klasse opennlp.tools.ml.model.EvalParameters
equals(Object) - Methode in Klasse opennlp.tools.ml.model.UniformPrior
equals(Object) - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronModel
equals(Object) - Methode in Klasse opennlp.tools.namefind.NameSample
equals(Object) - Methode in Klasse opennlp.tools.ngram.NGramCharModel
equals(Object) - Methode in Klasse opennlp.tools.ngram.NGramModel
equals(Object) - Methode in Klasse opennlp.tools.parser.lang.en.HeadRules
equals(Object) - Methode in Klasse opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
equals(Object) - Methode in Klasse opennlp.tools.parser.Parse
equals(Object) - Methode in Klasse opennlp.tools.parser.ParserModel
equals(Object) - Methode in Klasse opennlp.tools.postag.POSDictionary
equals(Object) - Methode in Klasse opennlp.tools.postag.POSModel
equals(Object) - Methode in Klasse opennlp.tools.postag.POSSample
equals(Object) - Methode in Klasse opennlp.tools.sentdetect.SentenceSample
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.arabicStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.catalanStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.danishStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.dutchStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.englishStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.finnishStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.frenchStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.germanStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.greekStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.hungarianStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.indonesianStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.irishStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.italianStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.norwegianStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.porterStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.portugueseStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.romanianStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.russianStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.spanishStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.swedishStemmer
equals(Object) - Methode in Klasse opennlp.tools.stemmer.snowball.turkishStemmer
equals(Object) - Methode in Klasse opennlp.tools.tokenize.TokenizerModel
equals(Object) - Methode in Klasse opennlp.tools.tokenize.TokenSample
equals(Object) - Methode in Klasse opennlp.tools.util.Sequence
equals(Object) - Methode in Klasse opennlp.tools.util.Span
equals(Object) - Methode in Klasse opennlp.tools.util.StringList
equals(Object) - Methode in Datensatzklasse opennlp.tools.util.TokenTag: Gibt an, ob ein anderes Objekt diesem gleich ("equal to") ist.
equals(Object) - Methode in Klasse opennlp.tools.util.Version
eval(int[], double[], EvalParameters) - Statische Methode in Klasse opennlp.tools.ml.maxent.GISModel: Evaluates a context and return an array of the likelihood of each outcome given the specified context and the specified parameters.
eval(int[], double[], EvalParameters) - Statische Methode in Klasse opennlp.tools.ml.naivebayes.NaiveBayesModel: Evaluates a NaiveBayesModel.
eval(int[], double[], EvalParameters) - Statische Methode in Klasse opennlp.tools.ml.perceptron.PerceptronModel: Evaluates a PerceptronModel.
eval(String[]) - Methode in Klasse opennlp.tools.ml.maxent.GISModel: Evaluates a context and return an array of the likelihood of each outcome given that context.
eval(String[]) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.QNModel: Evaluates a context.
eval(String[]) - Methode in Schnittstelle opennlp.tools.ml.model.MaxentModel: Evaluates a context.
eval(String[]) - Methode in Klasse opennlp.tools.ml.naivebayes.NaiveBayesModel: Evaluates a context.
eval(String[]) - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronModel: Evaluates a context.
eval(String[], double[]) - Methode in Klasse opennlp.tools.ml.maxent.GISModel: Evaluates a context.
eval(String[], double[]) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.QNModel: Evaluates a context.
eval(String[], double[]) - Methode in Schnittstelle opennlp.tools.ml.model.MaxentModel: Evaluates a context.
eval(String[], double[]) - Methode in Klasse opennlp.tools.ml.naivebayes.NaiveBayesModel: Evaluates a context.
eval(String[], double[]) - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronModel: Evaluates a context.
eval(String[], float[]) - Methode in Klasse opennlp.tools.ml.maxent.GISModel: Evaluates a context with the specified context values.
eval(String[], float[]) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.QNModel: Evaluates a context with the specified context values.
eval(String[], float[]) - Methode in Schnittstelle opennlp.tools.ml.model.MaxentModel: Evaluates a context with the specified context values.
eval(String[], float[]) - Methode in Klasse opennlp.tools.ml.naivebayes.NaiveBayesModel: Evaluates a context with the specified context values.
eval(String[], float[]) - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronModel: Evaluates a context with the specified context values.
eval(String[], float[], double[]) - Methode in Klasse opennlp.tools.ml.maxent.GISModel: Evaluates a context and return an array of the likelihood of each outcome given that context.
eval(String[], float[], double[]) - Methode in Klasse opennlp.tools.ml.naivebayes.NaiveBayesModel
eval(String[], float[], double[]) - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronModel
EvalitaNameSampleStream - Klasse in opennlp.tools.formats: Parser for the Italian NER training files of the Evalita 2007 and 2009 NER shared tasks.
EvalitaNameSampleStream(EvalitaNameSampleStream.LANGUAGE, InputStreamFactory, int) - Konstruktor für Klasse opennlp.tools.formats.EvalitaNameSampleStream
EvalitaNameSampleStream(EvalitaNameSampleStream.LANGUAGE, ObjectStream<String>, int) - Konstruktor für Klasse opennlp.tools.formats.EvalitaNameSampleStream
EvalitaNameSampleStream.LANGUAGE - Enum-Klasse in opennlp.tools.formats
EvalitaNameSampleStreamFactory - Klasse in opennlp.tools.formats: Note: Do not use this class, internal use only!
EvalParameters - Klasse in opennlp.tools.ml.model: This class encapsulates the variables used in producing probabilities from a model and facilitates passing these variables to the eval method.
EvalParameters(Context[], int) - Konstruktor für Klasse opennlp.tools.ml.model.EvalParameters
evaluate(double[]) - Methode in Schnittstelle opennlp.tools.ml.maxent.quasinewton.QNMinimizer.Evaluator: Measure quality of the training parameters.
evaluate(ObjectStream<ChunkSample>, int) - Methode in Klasse opennlp.tools.chunker.ChunkerCrossValidator: Starts the evaluation.
evaluate(ObjectStream<DocumentSample>, int) - Methode in Klasse opennlp.tools.doccat.DoccatCrossValidator: Starts the evaluation.
evaluate(ObjectStream<LanguageSample>, int) - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorCrossValidator: Starts the evaluation.
evaluate(ObjectStream<NameSample>, int) - Methode in Klasse opennlp.tools.namefind.TokenNameFinderCrossValidator: Starts the evaluation.
evaluate(ObjectStream<Parse>, int) - Methode in Klasse opennlp.tools.parser.ParserCrossValidator: Starts the evaluation.
evaluate(ObjectStream<POSSample>, int) - Methode in Klasse opennlp.tools.postag.POSTaggerCrossValidator: Starts the evaluation.
evaluate(ObjectStream<SentenceSample>, int) - Methode in Klasse opennlp.tools.sentdetect.SDCrossValidator: Starts the evaluation.
evaluate(ObjectStream<TokenSample>, int) - Methode in Klasse opennlp.tools.tokenize.TokenizerCrossValidator: Starts the evaluation.
evaluate(ObjectStream<T>) - Methode in Klasse opennlp.tools.util.eval.Evaluator: Reads all sample objects and evaluates each instance via the Evaluator.evaluateSample(Object) method.
evaluateSample(T) - Methode in Klasse opennlp.tools.util.eval.Evaluator: Evaluates the given reference object.
EvaluationMonitor<T> - Schnittstelle in opennlp.tools.util.eval
Evaluator<T> - Klasse in opennlp.tools.util.eval: An abstract base class for evaluators.
Evaluator(EvaluationMonitor<T>...) - Konstruktor für Klasse opennlp.tools.util.eval.Evaluator
EvaluatorParams - Schnittstelle in opennlp.tools.cmdline.params: Common evaluation parameters.
Event - Klasse in opennlp.tools.ml.model: The context of a decision point during training.
Event(String, CharSequence[]) - Konstruktor für Klasse opennlp.tools.ml.model.Event: Instantiates an Event.
Event(String, CharSequence[], float[]) - Konstruktor für Klasse opennlp.tools.ml.model.Event: Instantiates an Event.
Event(String, String[], float[]) - Konstruktor für Klasse opennlp.tools.ml.model.Event: Instantiates an Event.
EVENT_MODEL_SEQUENCE_TRAINER - Enum-Konstante in Enum-Klasse opennlp.tools.ml.TrainerFactory.TrainerType
EVENT_MODEL_TRAINER - Enum-Konstante in Enum-Klasse opennlp.tools.ml.TrainerFactory.TrainerType
EVENT_TYPE - Statische Variable in Klasse opennlp.tools.formats.brat.AnnotationConfiguration
EVENT_VALUE - Statische Variable in Schnittstelle opennlp.tools.ml.EventTrainer
EventAnnotation - Klasse in opennlp.tools.formats.brat
EventModelSequenceTrainer<T> - Schnittstelle in opennlp.tools.ml: A specialized Trainer that is based on a 'EventModelSequence' approach.
EventTraceStream - Klasse in opennlp.tools.util
EventTraceStream(ObjectStream<Event>, Writer) - Konstruktor für Klasse opennlp.tools.util.EventTraceStream: Initializes an EventTraceStream.
EventTrainer - Schnittstelle in opennlp.tools.ml: A specialized Trainer that is based on an Event approach.
expandTopNode(Parse) - Methode in Klasse opennlp.tools.parser.Parse
Experimental - Annotationsschnittstelle in opennlp.tools.util.java: Indicates that a certain API feature is not stable and might change with a new release.
ExtensionLoader - Klasse in opennlp.tools.util.ext: The ExtensionLoader is responsible to load extensions to the OpenNLP library.
ExtensionNotLoadedException - Ausnahmeklasse in opennlp.tools.util.ext: Exception indicates that an OpenNLP extension could not be loaded.
ExtensionNotLoadedException(String) - Konstruktor für Ausnahmeklasse opennlp.tools.util.ext.ExtensionNotLoadedException
ExtensionNotLoadedException(Throwable) - Konstruktor für Ausnahmeklasse opennlp.tools.util.ext.ExtensionNotLoadedException
ExtensionServiceKeys - Klasse in opennlp.tools.util.ext
ExtensionServiceKeys() - Konstruktor für Klasse opennlp.tools.util.ext.ExtensionServiceKeys
extractArtifactSerializerMappings(InputStream) - Statische Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory
extractFeatures(String[], Map<String, Object>) - Methode in Klasse opennlp.tools.doccat.BagOfWordsFeatureGenerator
extractFeatures(String[], Map<String, Object>) - Methode in Schnittstelle opennlp.tools.doccat.FeatureGenerator: Extracts features from given text fragments.
extractFeatures(String[], Map<String, Object>) - Methode in Klasse opennlp.tools.doccat.NGramFeatureGenerator
extractTags(TokenTag[]) - Statische Methode in Datensatzklasse opennlp.tools.util.TokenTag
extractTokens(TokenTag[]) - Statische Methode in Datensatzklasse opennlp.tools.util.TokenTag

F

Factory - Klasse in opennlp.tools.sentdetect.lang
Factory - Klasse in opennlp.tools.tokenize.lang
Factory() - Konstruktor für Klasse opennlp.tools.sentdetect.lang.Factory
Factory() - Konstruktor für Klasse opennlp.tools.tokenize.lang.Factory
FeatureGenerator - Schnittstelle in opennlp.tools.doccat: Interface for generating features for document categorization.
FeatureGeneratorResourceProvider - Schnittstelle in opennlp.tools.util.featuregen: The FeatureGeneratorResourceProvider provides access to the resources available in the model.
FeatureGeneratorUtil - Klasse in opennlp.tools.util.featuregen: This class provide common utilities for feature generation.
FeatureGeneratorUtil() - Konstruktor für Klasse opennlp.tools.util.featuregen.FeatureGeneratorUtil
FileEventStream - Klasse in opennlp.tools.ml.model: Class for using a file of events as an event stream.
FileEventStream(File) - Konstruktor für Klasse opennlp.tools.ml.model.FileEventStream: Instantiates a FileEventStream via a File.
FileEventStream(Reader) - Konstruktor für Klasse opennlp.tools.ml.model.FileEventStream: Instantiates a FileEventStream via a Reader.
FileEventStream(String) - Konstruktor für Klasse opennlp.tools.ml.model.FileEventStream: Instantiates a FileEventStream from the specified file name.
FileEventStream(String, String) - Konstruktor für Klasse opennlp.tools.ml.model.FileEventStream: Instantiates a FileEventStream from the specified file name.
FileToByteArraySampleStream - Klasse in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
FileToByteArraySampleStream(ObjectStream<File>) - Konstruktor für Klasse opennlp.tools.formats.convert.FileToByteArraySampleStream: Initializes a FileToByteArraySampleStream.
FileToStringSampleStream - Klasse in opennlp.tools.formats.convert: Provides the ability to read the contents of files contained in an object stream of files.
FileToStringSampleStream(ObjectStream<File>, Charset) - Konstruktor für Klasse opennlp.tools.formats.convert.FileToStringSampleStream: Initializes a FileToStringSampleStream.
FilterObjectStream<S,T> - Klasse in opennlp.tools.util: Abstract base class for filtering streams.
find(String) - Methode in Klasse opennlp.tools.namefind.RegexNameFinder: Finds spans with character indices, rather than word.
find(String[]) - Methode in Klasse opennlp.tools.namefind.DictionaryNameFinder
find(String[]) - Methode in Klasse opennlp.tools.namefind.NameFinderME
find(String[]) - Methode in Klasse opennlp.tools.namefind.RegexNameFinder
find(String[]) - Methode in Klasse opennlp.tools.namefind.ThreadSafeNameFinderME
find(String[]) - Methode in Schnittstelle opennlp.tools.namefind.TokenNameFinder: Generates name tags for the given sequence, typically a sentence, returning token spans for any identified names.
find(String[][]) - Methode in Schnittstelle opennlp.tools.namefind.DocumentNameFinder: Finds tokens spans for the specified document of sentences and their tokens.
find(String[], String[][]) - Methode in Klasse opennlp.tools.namefind.NameFinderME: Generates name tags for the given sequence, typically a sentence, returning token spans for any identified names.
find(String, Span[], Span[][], Span[][]) - Methode in Schnittstelle opennlp.tools.entitylinker.EntityLinker: Links an entire document of named entities to an external source.
find(String, Span[], Span[][], Span[][], int) - Methode in Schnittstelle opennlp.tools.entitylinker.EntityLinker: Links the names that correspond to the tokens[] spans.
FineGrainedEvaluatorParams - Schnittstelle in opennlp.tools.cmdline.params: Common evaluation parameters.
FINNISH - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
finnishStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
finnishStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.finnishStemmer
fixPossesives(Parse) - Statische Methode in Klasse opennlp.tools.parser.Parse
FLOAT - Enum-Konstante in Enum-Klasse opennlp.tools.util.wordvector.WordVectorType
FMeasure - Klasse in opennlp.tools.util.eval: The FMeasure is a utility class for evaluators which measures precision, recall and the resulting f-measure.
FMeasure() - Konstruktor für Klasse opennlp.tools.util.eval.FMeasure
FRENCH - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
frenchStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
frenchStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.frenchStemmer
Function - Schnittstelle in opennlp.tools.ml.maxent.quasinewton: Interface for a function.

G

GapLabeler - Schnittstelle in opennlp.tools.parser: Represents a labeler for nodes which contain traces so that these traces can be predicted by a Parser.
generate(char[], int, String) - Statische Methode in Klasse opennlp.tools.ngram.NGramGenerator: Generates nGrams based on a char[] input.
generate(List<String>, int, String) - Statische Methode in Klasse opennlp.tools.ngram.NGramGenerator: Creates nGrams separated by the separator param value i.e.
GENERATE_CELLLINE_ENTITIES - Statische Variable in Klasse opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_CELLTYPE_ENTITIES - Statische Variable in Klasse opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_DNA_ENTITIES - Statische Variable in Klasse opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_GPE_ENTITIES - Statische Variable in Klasse opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_LOCATION_ENTITIES - Statische Variable in Klasse opennlp.tools.formats.Conll02NameSampleStream
GENERATE_LOCATION_ENTITIES - Statische Variable in Klasse opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_MISC_ENTITIES - Statische Variable in Klasse opennlp.tools.formats.Conll02NameSampleStream
GENERATE_ORGANIZATION_ENTITIES - Statische Variable in Klasse opennlp.tools.formats.Conll02NameSampleStream
GENERATE_ORGANIZATION_ENTITIES - Statische Variable in Klasse opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_PERSON_ENTITIES - Statische Variable in Klasse opennlp.tools.formats.Conll02NameSampleStream
GENERATE_PERSON_ENTITIES - Statische Variable in Klasse opennlp.tools.formats.EvalitaNameSampleStream
GENERATE_PROTEIN_ENTITIES - Statische Variable in Klasse opennlp.tools.formats.BioNLP2004NameSampleStream
GENERATE_RNA_ENTITIES - Statische Variable in Klasse opennlp.tools.formats.BioNLP2004NameSampleStream
generateEvents(String[], String[], Object[], POSContextGenerator) - Statische Methode in Klasse opennlp.tools.postag.POSSampleEventStream
generateEvents(String[], String[], NameContextGenerator) - Statische Methode in Klasse opennlp.tools.namefind.NameFinderEventStream: Generates events for each token in a sentence with the specified outcomes using the specified NameContextGenerator.
generateEvents(String[], String[], POSContextGenerator) - Statische Methode in Klasse opennlp.tools.postag.POSSampleEventStream
generateOutcomes(Span[], String, int) - Statische Methode in Klasse opennlp.tools.namefind.NameFinderEventStream: Veraltet, zur Entfernung: Dieses API-Element wird in einer zukünftigen Version entfernt.
use the BioCodec implementation of the SequenceValidator instead!
GeneratorFactory - Klasse in opennlp.tools.util.featuregen: Creates a set of feature generators based on a provided XML descriptor.
GeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.GeneratorFactory
GeneratorFactory.AbstractXmlFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
GenericModelReader - Klasse in opennlp.tools.ml.model: An generic AbstractModelReader implementation.
GenericModelReader(File) - Konstruktor für Klasse opennlp.tools.ml.model.GenericModelReader: Initializes a GenericModelReader via a File.
GenericModelReader(DataReader) - Konstruktor für Klasse opennlp.tools.ml.model.GenericModelReader: Initializes a GenericModelReader via a DataReader.
GenericModelSerializer - Klasse in opennlp.tools.util.model: An ArtifactSerializer implementation for models.
GenericModelSerializer() - Konstruktor für Klasse opennlp.tools.util.model.GenericModelSerializer
GenericModelWriter - Klasse in opennlp.tools.ml.model: An generic AbstractModelWriter implementation.
GenericModelWriter(AbstractModel, DataOutputStream) - Konstruktor für Klasse opennlp.tools.ml.model.GenericModelWriter: Initializes a GenericModelWriter for an AbstractModel with an associated DataOutputStream the model shall be written to.
GenericModelWriter(AbstractModel, File) - Konstruktor für Klasse opennlp.tools.ml.model.GenericModelWriter: Initializes a GenericModelWriter for an AbstractModel with an associated File the model shall be written to.
GERMAN - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
germanStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
germanStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.germanStemmer
get() - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbability
get() - Methode in Klasse opennlp.tools.ml.naivebayes.Probability
get(String) - Methode in Schnittstelle opennlp.tools.util.wordvector.WordVectorTable
get(T) - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbabilities
get(T) - Methode in Klasse opennlp.tools.ml.naivebayes.Probabilities
getAbbreviationDictionary() - Methode in Klasse opennlp.tools.sentdetect.SentenceDetectorFactory
getAbbreviationDictionary() - Methode in Klasse opennlp.tools.tokenize.TokenizerFactory
getAbbreviations() - Methode in Klasse opennlp.tools.sentdetect.SentenceModel
getAbbreviations() - Methode in Klasse opennlp.tools.tokenize.TokenizerModel
getAccuracy() - Methode in Klasse opennlp.tools.doccat.DocumentCategorizerEvaluator: accuracy = correctly categorized documents / total documents
getAccuracy() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorEvaluator
getAdditionalContext() - Methode in Klasse opennlp.tools.namefind.NameSample
getAdditionalContext() - Methode in Klasse opennlp.tools.postag.POSSample
getAlgorithm() - Methode in Klasse opennlp.tools.ml.AbstractTrainer
getAll() - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbabilities
getAll() - Methode in Klasse opennlp.tools.ml.naivebayes.Probabilities
getAllOutcomes(double[]) - Methode in Klasse opennlp.tools.ml.model.AbstractModel: Retrieves a string matching all the outcome names with all the probabilities produced by the MaxentModel.eval(String[]) method.
getAllOutcomes(double[]) - Methode in Schnittstelle opennlp.tools.ml.model.MaxentModel: Retrieves a string matching all the outcome names with all the probabilities produced by the MaxentModel.eval(String[]) method.
getAllPosTags() - Methode in Klasse opennlp.tools.postag.POSTaggerME
getAllResults(double[]) - Methode in Schnittstelle opennlp.tools.doccat.DocumentCategorizer: Retrieves the name of the category associated with the given probabilities.
getAllResults(double[]) - Methode in Klasse opennlp.tools.doccat.DocumentCategorizerME
getAlphanumeric(String) - Methode in Klasse opennlp.tools.tokenize.lang.Factory: Gets the alphanumeric pattern for a language.
getAlphaNumericPattern() - Methode in Klasse opennlp.tools.tokenize.TokenizerFactory
getAnnotation(String) - Methode in Klasse opennlp.tools.formats.brat.BratDocument
getAnnotations() - Methode in Klasse opennlp.tools.formats.brat.BratDocument
getArg1() - Methode in Klasse opennlp.tools.formats.brat.RelationAnnotation
getArg2() - Methode in Klasse opennlp.tools.formats.brat.RelationAnnotation
getArguments() - Methode in Klasse opennlp.tools.formats.brat.EventAnnotation
getArtifact(String) - Methode in Schnittstelle opennlp.tools.util.model.ArtifactProvider
getArtifact(String) - Methode in Klasse opennlp.tools.util.model.BaseModel
getArtifactSerializerClass() - Methode in Klasse opennlp.tools.dictionary.Dictionary
getArtifactSerializerClass() - Methode in Klasse opennlp.tools.parser.lang.en.HeadRules
getArtifactSerializerClass() - Methode in Klasse opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getArtifactSerializerClass() - Methode in Klasse opennlp.tools.postag.POSDictionary
getArtifactSerializerClass() - Methode in Klasse opennlp.tools.postag.POSModel
getArtifactSerializerClass() - Methode in Klasse opennlp.tools.util.featuregen.BrownCluster
getArtifactSerializerClass() - Methode in Klasse opennlp.tools.util.featuregen.WordClusterDictionary
getArtifactSerializerClass() - Methode in Schnittstelle opennlp.tools.util.model.SerializableArtifact: Retrieves the class which can serialize and recreate this artifact.
getArtifactSerializerMapping() - Methode in Klasse opennlp.tools.util.featuregen.BrownClusterBigramFeatureGeneratorFactory
getArtifactSerializerMapping() - Methode in Klasse opennlp.tools.util.featuregen.BrownClusterTokenClassFeatureGeneratorFactory
getArtifactSerializerMapping() - Methode in Klasse opennlp.tools.util.featuregen.BrownClusterTokenFeatureGeneratorFactory
getArtifactSerializerMapping() - Methode in Klasse opennlp.tools.util.featuregen.DictionaryFeatureGeneratorFactory
getArtifactSerializerMapping() - Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getArtifactSerializerMapping() - Methode in Klasse opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory
getArtifactSerializerMapping() - Methode in Klasse opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory
getAsDouble(int) - Methode in Schnittstelle opennlp.tools.util.wordvector.WordVector
getAsFloat(int) - Methode in Schnittstelle opennlp.tools.util.wordvector.WordVector
getAttachedId() - Methode in Klasse opennlp.tools.formats.brat.AnnotatorNoteAnnotation
getAttachedTo() - Methode in Klasse opennlp.tools.formats.brat.AttributeAnnotation
getAttachModel() - Methode in Klasse opennlp.tools.parser.ParserModel
getAvailableModels() - Statische Methode in Klasse opennlp.tools.util.DownloadUtil
getBase() - Methode in Klasse opennlp.tools.formats.masc.MascToken
getBases() - Methode in Klasse opennlp.tools.formats.masc.MascPennTagParser
getBestCategory(double[]) - Methode in Schnittstelle opennlp.tools.doccat.DocumentCategorizer: Retrieves the best category from previously generated outcome probabilities
getBestCategory(double[]) - Methode in Klasse opennlp.tools.doccat.DocumentCategorizerME
getBestOutcome(double[]) - Methode in Klasse opennlp.tools.ml.model.AbstractModel: Return the name of the outcome corresponding to the highest likelihood in the parameter ocs.
getBestOutcome(double[]) - Methode in Schnittstelle opennlp.tools.ml.model.MaxentModel: Retrieves the outcome associated with the index containing the highest probability in the double[].
getBool(String) - Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getBool(String, boolean) - Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getBooleanParameter(String, boolean) - Methode in Klasse opennlp.tools.util.TrainingParameters: Obtains a training parameter value.
getBooleanParameter(String, String, boolean) - Methode in Klasse opennlp.tools.util.TrainingParameters: Obtains a training parameter value in the specified namespace.
getBuildModel() - Methode in Klasse opennlp.tools.parser.ParserModel
getCachedFeatureGenerator() - Methode in Klasse opennlp.tools.util.featuregen.CachedFeatureGenerator
getCategory() - Methode in Klasse opennlp.tools.doccat.DocumentSample
getCategory(int) - Methode in Schnittstelle opennlp.tools.doccat.DocumentCategorizer: Retrieves the category at a given index.
getCategory(int) - Methode in Klasse opennlp.tools.doccat.DocumentCategorizerME
getCheckModel() - Methode in Klasse opennlp.tools.parser.ParserModel
getChildCount() - Methode in Klasse opennlp.tools.parser.Parse
getChildren() - Methode in Klasse opennlp.tools.parser.Parse
getChunkerSequenceModel() - Methode in Klasse opennlp.tools.chunker.ChunkerModel
getChunkSize() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorConfig: After processing a chunk of this size, the probing detection will compute probabilities and determine if there is enough confidence to stop.
getCommonParent(Parse) - Methode in Klasse opennlp.tools.parser.Parse: Returns the deepest shared parent of this node and the specified node.
getConfidence() - Methode in Klasse opennlp.tools.langdetect.Language
getConfidence() - Methode in Klasse opennlp.tools.ml.naivebayes.Probabilities
getConfig() - Methode in Klasse opennlp.tools.formats.brat.BratDocument
getContext() - Methode in Klasse opennlp.tools.ml.model.Event
getContext(int, Object[], String[]) - Methode in Klasse opennlp.tools.postag.DefaultPOSContextGenerator: Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.
getContext(int, String[], String[], Object[]) - Methode in Klasse opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
getContext(int, String[], String[], Object[]) - Methode in Klasse opennlp.tools.namefind.DefaultNameContextGenerator: Finds the context for finding names at the specified index.
getContext(int, String[], String[], Object[]) - Methode in Klasse opennlp.tools.postag.ConfigurablePOSContextGenerator: Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.
getContext(int, String[], String[], Object[]) - Methode in Klasse opennlp.tools.postag.DefaultPOSContextGenerator: Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.
getContext(int, String[], String[], Object[]) - Methode in Schnittstelle opennlp.tools.postag.POSContextGenerator: Returns the context for making a postag decision at the specified token index given the specified tokens and previous tags.
getContext(int, String[], String[], String[]) - Methode in Schnittstelle opennlp.tools.chunker.ChunkerContextGenerator: Retrieves the contexts for chunking of the specified idx.
getContext(int, String[], String[], String[]) - Methode in Klasse opennlp.tools.chunker.DefaultChunkerContextGenerator
getContext(int, String[], String[], String[]) - Methode in Klasse opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
getContext(int, String[], String[], String[]) - Methode in Schnittstelle opennlp.tools.lemmatizer.LemmatizerContextGenerator: Returns the contexts for lemmatizing of the specified index.
getContext(int, String[], String[], String[]) - Methode in Klasse opennlp.tools.parser.ChunkContextGenerator
getContext(int, TokenTag[], String[], Object[]) - Methode in Klasse opennlp.tools.chunker.DefaultChunkerContextGenerator
getContext(int, TokenTag[], String[], Object[]) - Methode in Klasse opennlp.tools.parser.ChunkContextGenerator
getContext(int, T[], String[], Object[]) - Methode in Schnittstelle opennlp.tools.util.BeamSearchContextGenerator: Returns the context for the specified position in the specified sequence (list).
getContext(CharSequence) - Methode in Klasse opennlp.tools.langdetect.DefaultLanguageDetectorContextGenerator
getContext(CharSequence) - Methode in Schnittstelle opennlp.tools.langdetect.LanguageDetectorContextGenerator: Retrieves the contexts for a document using character ngrams.
getContext(CharSequence, int) - Methode in Klasse opennlp.tools.sentdetect.DefaultSDContextGenerator
getContext(CharSequence, int) - Methode in Schnittstelle opennlp.tools.sentdetect.SDContextGenerator: Returns an array of contextual features for the potential sentence boundary at the specified position within the specified string buffer.
getContext(Object) - Methode in Klasse opennlp.tools.parser.chunking.BuildContextGenerator
getContext(Object) - Methode in Klasse opennlp.tools.parser.chunking.CheckContextGenerator
getContext(Object) - Methode in Klasse opennlp.tools.parser.treeinsert.AttachContextGenerator
getContext(Object) - Methode in Klasse opennlp.tools.parser.treeinsert.BuildContextGenerator
getContext(Object) - Methode in Klasse opennlp.tools.parser.treeinsert.CheckContextGenerator
getContext(String) - Methode in Klasse opennlp.tools.ml.maxent.BasicContextGenerator
getContext(String, int) - Methode in Klasse opennlp.tools.tokenize.DefaultTokenContextGenerator
getContext(String, int) - Methode in Schnittstelle opennlp.tools.tokenize.TokenContextGenerator
getContext(Parse[], int) - Methode in Klasse opennlp.tools.parser.chunking.BuildContextGenerator: Finds the predictive context used to determine how constituent at the specified index should be combined with other constituents.
getContext(Parse[], int) - Methode in Klasse opennlp.tools.parser.treeinsert.BuildContextGenerator: Finds the contexts/features for the decision to build a new constituent for the specified parse at the specified index.
getContext(Parse[], int, List<Parse>, int) - Methode in Klasse opennlp.tools.parser.treeinsert.AttachContextGenerator: Finds the predictive contextual features about an attachment.
getContext(Parse[], String, int, int) - Methode in Klasse opennlp.tools.parser.chunking.CheckContextGenerator: Finds predictive context for deciding whether the specified constituents between the specified start and end index can be combined to form a new constituent of the specified type.
getContext(Parse, Parse[], int, boolean) - Methode in Klasse opennlp.tools.parser.treeinsert.CheckContextGenerator: Finds the predictive context used to determine how constituent at the specified index should be combined with a parent constituent.
getContext(T) - Methode in Schnittstelle opennlp.tools.ml.maxent.ContextGenerator: Builds up the list of contextual predicates given an object.
getContextGenerator() - Methode in Klasse opennlp.tools.chunker.ChunkerFactory
getContextGenerator() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorFactory
getContextGenerator() - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerFactory
getContextGenerator() - Methode in Klasse opennlp.tools.parser.ParserChunkerFactory
getContextGenerator() - Methode in Klasse opennlp.tools.tokenize.TokenizerFactory
getContexts() - Methode in Klasse opennlp.tools.ml.model.AbstractDataIndexer
getContexts() - Methode in Schnittstelle opennlp.tools.ml.model.DataIndexer
getCount(CharSequence) - Methode in Klasse opennlp.tools.ngram.NGramCharModel: Retrieves the count of the given ngram.
getCount(StringList) - Methode in Klasse opennlp.tools.ngram.NGramModel: Retrieves the count of the given ngram.
getCoveredText() - Methode in Klasse opennlp.tools.formats.brat.SpanAnnotation
getCoveredText() - Methode in Klasse opennlp.tools.parser.Parse
getCoveredText(CharSequence) - Methode in Klasse opennlp.tools.util.Span
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.arabicStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.catalanStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.danishStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.dutchStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.englishStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.finnishStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.frenchStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.germanStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.greekStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.hungarianStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.indonesianStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.irishStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.italianStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.norwegianStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.porterStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.portugueseStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.romanianStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.russianStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.spanishStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.swedishStemmer: Get the current string.
getCurrent() - Methode in Klasse opennlp.tools.stemmer.snowball.turkishStemmer: Get the current string.
getCurrPoint() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getCutoff() - Methode in Klasse opennlp.tools.ml.AbstractTrainer
getData() - Methode in Schnittstelle opennlp.tools.cmdline.params.BasicFormatParams
getDataIndexer(ObjectStream<Event>) - Methode in Klasse opennlp.tools.ml.AbstractEventTrainer
getDataIndexer(TrainingParameters, Map<String, String>) - Statische Methode in Klasse opennlp.tools.ml.model.DataIndexerFactory: Instantiates a DataIndexer configured via TrainingParameters.
getDataStructures() - Methode in Klasse opennlp.tools.ml.model.AbstractModel: Provides the fundamental data structures which encode the maxent model information.
getDataType() - Methode in Schnittstelle opennlp.tools.util.wordvector.WordVector
getDefaultRegexNameFinders(Map<String, Pattern[]>, RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER...) - Statische Methode in Klasse opennlp.tools.namefind.RegexNameFinderFactory: Allows for use of selected Defaults as well as regexes from external configuration.
getDefaultRegexNameFinders(RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER...) - Statische Methode in Klasse opennlp.tools.namefind.RegexNameFinderFactory: Retrieves a RegexNameFinder that will utilize specified default regexes.
getDeprel() - Methode in Klasse opennlp.tools.formats.conllu.ConlluWordLine
getDeps() - Methode in Klasse opennlp.tools.formats.conllu.ConlluWordLine
getDerivation() - Methode in Klasse opennlp.tools.parser.Parse
getDescriptorElements(InputStream) - Statische Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory: Provides a list with all the elements in the xml feature descriptor.
getDetokenizer() - Methode in Schnittstelle opennlp.tools.cmdline.params.DetokenizerParameter
getDictMap() - Methode in Klasse opennlp.tools.lemmatizer.DictionaryLemmatizer
getDimension() - Methode in Schnittstelle opennlp.tools.ml.maxent.quasinewton.Function
getDimension() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
getDimension() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
getDocument() - Methode in Klasse opennlp.tools.sentdetect.SentenceSample
getDocumentAccuracy() - Methode in Klasse opennlp.tools.doccat.DoccatCrossValidator
getDocumentAccuracy() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorCrossValidator
getDocumentCount() - Methode in Klasse opennlp.tools.doccat.DoccatCrossValidator
getDocumentCount() - Methode in Klasse opennlp.tools.doccat.DocumentCategorizerEvaluator
getDocumentCount() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorCrossValidator
getDocumentCount() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorEvaluator
getDocumentId() - Methode in Klasse opennlp.tools.formats.conllu.ConlluSentence
getDouble(String) - Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getDouble(String, double) - Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getDoubleParameter(String, double) - Methode in Klasse opennlp.tools.util.TrainingParameters: Obtains a training parameter value.
getDoubleParameter(String, String, double) - Methode in Klasse opennlp.tools.util.TrainingParameters: Obtains a training parameter value in the specified namespace.
getElement(String) - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser: Parse a tree element from a AD line
getElements() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
getEncoding() - Methode in Schnittstelle opennlp.tools.cmdline.params.EncodingParameter
getEnd() - Methode in Klasse opennlp.tools.util.Span: Note: that the returned index is one past the actual end of the span in the text, or the first element past the end of the span.
getEndOfSentenceScanner() - Methode in Klasse opennlp.tools.sentdetect.SentenceDetectorFactory
getEntityIDsToTokens() - Methode in Klasse opennlp.tools.formats.masc.MascNamedEntityParser
getEntityIDtoEntityType() - Methode in Klasse opennlp.tools.formats.masc.MascNamedEntityParser
getEosCharacters() - Methode in Klasse opennlp.tools.sentdetect.SentenceModel
getEOSCharacters() - Methode in Klasse opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getEOSCharacters() - Methode in Schnittstelle opennlp.tools.sentdetect.EndOfSentenceScanner
getEOSCharacters() - Methode in Klasse opennlp.tools.sentdetect.SentenceDetectorFactory
getEOSCharacters(String) - Methode in Klasse opennlp.tools.sentdetect.lang.Factory
getEvaluator() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer
getEventModelSequenceTrainer(TrainingParameters, Map<String, String>) - Statische Methode in Klasse opennlp.tools.ml.TrainerFactory: Retrieves an EventModelSequenceTrainer that fits the given parameters.
getEvents() - Methode in Klasse opennlp.tools.ml.model.Sequence
getEventTrainer(TrainingParameters, Map<String, String>) - Statische Methode in Klasse opennlp.tools.ml.TrainerFactory: Retrieves an EventTrainer that fits the given parameters.
getEventTrigger() - Methode in Klasse opennlp.tools.formats.brat.EventAnnotation
getExtraInformation() - Methode in Klasse opennlp.tools.doccat.DocumentSample
getFactory() - Methode in Klasse opennlp.tools.chunker.ChunkerModel
getFactory() - Methode in Klasse opennlp.tools.doccat.DoccatModel
getFactory() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorModel
getFactory() - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerModel
getFactory() - Methode in Klasse opennlp.tools.namefind.TokenNameFinderModel
getFactory() - Methode in Klasse opennlp.tools.postag.POSModel
getFactory() - Methode in Klasse opennlp.tools.sentdetect.SentenceModel
getFactory() - Methode in Klasse opennlp.tools.tokenize.TokenizerModel
getFctEvalCount() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getFeats() - Methode in Klasse opennlp.tools.formats.conllu.ConlluWordLine
getFeatureGenerators() - Methode in Klasse opennlp.tools.doccat.DoccatFactory
getFlex() - Methode in Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex
getFlex() - Methode in Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getFloat(String) - Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getFloat(String, float) - Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getFMeasure() - Methode in Klasse opennlp.tools.chunker.ChunkerCrossValidator
getFMeasure() - Methode in Klasse opennlp.tools.chunker.ChunkerEvaluator
getFMeasure() - Methode in Klasse opennlp.tools.namefind.TokenNameFinderCrossValidator
getFMeasure() - Methode in Klasse opennlp.tools.namefind.TokenNameFinderEvaluator
getFMeasure() - Methode in Klasse opennlp.tools.parser.ParserCrossValidator
getFMeasure() - Methode in Klasse opennlp.tools.parser.ParserEvaluator
getFMeasure() - Methode in Klasse opennlp.tools.sentdetect.SDCrossValidator
getFMeasure() - Methode in Klasse opennlp.tools.sentdetect.SentenceDetectorEvaluator
getFMeasure() - Methode in Klasse opennlp.tools.tokenize.DetokenizerEvaluator
getFMeasure() - Methode in Klasse opennlp.tools.tokenize.TokenizerCrossValidator
getFMeasure() - Methode in Klasse opennlp.tools.tokenize.TokenizerEvaluator
getFMeasure() - Methode in Klasse opennlp.tools.util.eval.FMeasure: f-measure = 2 * precision * recall / (precision + recall).
getFolds() - Methode in Schnittstelle opennlp.tools.cmdline.params.CVParams
getForm() - Methode in Klasse opennlp.tools.formats.conllu.ConlluWordLine
getFuncChangeRate() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getFunctionalTag() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getGenerators() - Methode in Klasse opennlp.tools.util.featuregen.AggregatedFeatureGenerator: Retrieves a Collections of all aggregated AdaptiveFeatureGenerators.
getGradAtCurr() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getGradAtNext() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getGuessedFormat() - Methode in Klasse opennlp.tools.postag.POSTagFormatMapper
getGuessedFormat() - Methode in Klasse opennlp.tools.postag.POSTagFormatMapper.NoOp
getHead() - Methode in Klasse opennlp.tools.formats.conllu.ConlluWordLine
getHead() - Methode in Klasse opennlp.tools.parser.Parse
getHead(Parse[], String) - Methode in Schnittstelle opennlp.tools.parser.HeadRules: Retrieves the head constituent for the specified constituents of given type.
getHead(Parse[], String) - Methode in Klasse opennlp.tools.parser.lang.en.HeadRules
getHead(Parse[], String) - Methode in Klasse opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getHeadIndex() - Methode in Klasse opennlp.tools.parser.Parse
getHeadRules() - Methode in Klasse opennlp.tools.parser.ParserModel
getHelp() - Methode in Klasse opennlp.tools.cmdline.chunker.ChunkerMETool
getHelp() - Methode in Klasse opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
getHelp() - Methode in Klasse opennlp.tools.cmdline.doccat.DoccatTool
getHelp() - Methode in Klasse opennlp.tools.cmdline.entitylinker.EntityLinkerTool
getHelp() - Methode in Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorTool
getHelp() - Methode in Klasse opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool
getHelp() - Methode in Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerMETool
getHelp() - Methode in Klasse opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
getHelp() - Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderTool
getHelp() - Methode in Klasse opennlp.tools.cmdline.parser.ParserTool
getHelp() - Methode in Klasse opennlp.tools.cmdline.parser.TaggerModelReplacerTool
getHelp() - Methode in Klasse opennlp.tools.cmdline.postag.POSTaggerTool
getHelp() - Methode in Klasse opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
getHelp() - Methode in Klasse opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
getHelp() - Methode in Klasse opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
getHelp() - Methode in Klasse opennlp.tools.cmdline.tokenizer.TokenizerMETool
getId() - Methode in Klasse opennlp.tools.formats.brat.BratAnnotation
getId() - Methode in Klasse opennlp.tools.formats.brat.BratDocument
getId() - Methode in Klasse opennlp.tools.formats.conllu.ConlluWordLine
getId() - Methode in Klasse opennlp.tools.formats.masc.MascWord
getId() - Methode in Klasse opennlp.tools.namefind.NameSample
getIndex(String) - Methode in Schnittstelle opennlp.tools.doccat.DocumentCategorizer: Retrieves the index of a certain category.
getIndex(String) - Methode in Klasse opennlp.tools.doccat.DocumentCategorizerME
getIndex(String) - Methode in Klasse opennlp.tools.ml.model.AbstractModel
getIndex(String) - Methode in Schnittstelle opennlp.tools.ml.model.MaxentModel: Retrieves the index associated with the String name of the given outcome.
getInitialChunks(Parse) - Statische Methode in Klasse opennlp.tools.parser.AbstractParserEventStream
getInitialChunks(Parse) - Statische Methode in Klasse opennlp.tools.parser.ChunkSampleStream
getInitialObject(double, double[], double[]) - Statische Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult: Initial linear search object.
getInitialObject(double, double[], double[], double[], double[], int) - Statische Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getInitialObjectForL1(double, double[], double[], double[]) - Statische Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult: Initial linear search object for L1-regularization.
getInitialPoint() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
getInstance() - Statische Methode in Klasse opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer
getInstance() - Statische Methode in Klasse opennlp.tools.util.normalizer.NumberCharSequenceNormalizer
getInstance() - Statische Methode in Klasse opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer
getInstance() - Statische Methode in Klasse opennlp.tools.util.normalizer.TwitterCharSequenceNormalizer
getInstance() - Statische Methode in Klasse opennlp.tools.util.normalizer.UrlCharSequenceNormalizer
getInt(String) - Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getInt(String, int) - Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getIntParameter(String, int) - Methode in Klasse opennlp.tools.util.TrainingParameters: Obtains a training parameter value.
getIntParameter(String, String, int) - Methode in Klasse opennlp.tools.util.TrainingParameters: Obtains a training parameter value in the specified namespace.
getItemID() - Methode in Klasse opennlp.tools.entitylinker.BaseLink
getItemName() - Methode in Klasse opennlp.tools.entitylinker.BaseLink
getItemParentID() - Methode in Klasse opennlp.tools.entitylinker.BaseLink
getItemType() - Methode in Klasse opennlp.tools.entitylinker.BaseLink
getIterations() - Methode in Klasse opennlp.tools.ml.AbstractTrainer
getKeys() - Methode in Klasse opennlp.tools.ml.naivebayes.Probabilities
getLabel() - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbability
getLabel() - Methode in Klasse opennlp.tools.ml.naivebayes.Probability
getLabel() - Methode in Klasse opennlp.tools.parser.Constituent: Returns the label of the constituent.
getLabel() - Methode in Klasse opennlp.tools.parser.Parse: Retrieves the label assigned to this parse node during parsing which specifies how this node will be formed into a constituent.
getLabelComparator(Map<String, FineGrainedReportListener.Counter>) - Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
getLang() - Methode in Schnittstelle opennlp.tools.cmdline.params.LanguageParams
getLang() - Methode in Klasse opennlp.tools.formats.AbstractSampleStreamFactory
getLang() - Methode in Klasse opennlp.tools.formats.LanguageSampleStreamFactory
getLang() - Methode in Klasse opennlp.tools.langdetect.Language
getLanguage() - Methode in Schnittstelle opennlp.tools.util.model.ArtifactProvider
getLanguage() - Methode in Klasse opennlp.tools.util.model.BaseModel
getLanguageCode() - Methode in Klasse opennlp.tools.sentdetect.SentenceDetectorFactory
getLanguageCode() - Methode in Klasse opennlp.tools.tokenize.TokenizerFactory
getLemma() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getLemma() - Methode in Klasse opennlp.tools.formats.conllu.ConlluWordLine
getLemmas() - Methode in Klasse opennlp.tools.lemmatizer.LemmaSample
getLemmatizerSequenceModel() - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerModel
getLevel() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
getLexeme() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getLinkedEntries() - Methode in Klasse opennlp.tools.entitylinker.LinkedSpan
getLinker(String, EntityLinkerProperties) - Statische Methode in Klasse opennlp.tools.entitylinker.EntityLinkerFactory: Retrieves a EntityLinker instance matching the properties configuration.
getLinker(EntityLinkerProperties) - Statische Methode in Klasse opennlp.tools.entitylinker.EntityLinkerFactory: Retrieves a EntityLinker instance matching the properties configuration.
getLog() - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbability
getLog() - Methode in Klasse opennlp.tools.ml.naivebayes.Probability
getLog(T) - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbabilities
getLog(T) - Methode in Klasse opennlp.tools.ml.naivebayes.Probabilities
getLong(String) - Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getLong(String, long) - Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getMajor() - Methode in Klasse opennlp.tools.util.Version
getManifestProperty(String) - Methode in Schnittstelle opennlp.tools.util.model.ArtifactProvider
getManifestProperty(String) - Methode in Klasse opennlp.tools.util.model.BaseModel
getMatchingPatterns() - Methode in Klasse opennlp.tools.namefind.RegexNameFinder
getMatrixLabelComparator(Map<String, FineGrainedReportListener.ConfusionMatrixLine>) - Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
getMax() - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbabilities
getMax() - Methode in Klasse opennlp.tools.ml.naivebayes.Probabilities
getMaxentModel() - Methode in Klasse opennlp.tools.doccat.DoccatModel
getMaxentModel() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorModel
getMaxentModel() - Methode in Klasse opennlp.tools.sentdetect.SentenceModel
getMaxentModel() - Methode in Klasse opennlp.tools.tokenize.TokenizerModel
getMaxLength() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorConfig
getMaxTokenCount() - Methode in Klasse opennlp.tools.dictionary.Dictionary
getMaxTokenLength() - Methode in Klasse opennlp.tools.tokenize.WordpieceTokenizer
getMaxValue() - Methode in Klasse opennlp.tools.ml.naivebayes.Probabilities
getMetadata() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.Sentence
getMinConsecImprovements() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorConfig: If this value equals 0, probing detection will rely solely on LanguageDetectorConfig.getMinDiff()
getMinDiff() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorConfig: If this value equals 0, probing detection will rely solely on LanguageDetectorConfig.getMinConsecImprovements()
getMinor() - Methode in Klasse opennlp.tools.util.Version
getMinTokenCount() - Methode in Klasse opennlp.tools.dictionary.Dictionary
getMisc() - Methode in Klasse opennlp.tools.formats.conllu.ConlluWordLine
getMisclassified() - Methode in Schnittstelle opennlp.tools.cmdline.params.CVParams
getMisclassified() - Methode in Schnittstelle opennlp.tools.cmdline.params.EvaluatorParams
getModel() - Methode in Schnittstelle opennlp.tools.cmdline.params.EvaluatorParams
getModel() - Methode in Schnittstelle opennlp.tools.cmdline.params.TrainingToolParams
getModel() - Methode in Klasse opennlp.tools.ml.model.AbstractModelReader
getModelType() - Methode in Klasse opennlp.tools.ml.model.AbstractModel
getMorphologicalTag() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
getName() - Methode in Klasse opennlp.tools.cmdline.chunker.ChunkerTrainerTool
getName() - Methode in Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool
getNameCounters() - Methode in Klasse opennlp.tools.cmdline.namefind.NameSampleCountersStream
getNamedEntities() - Methode in Klasse opennlp.tools.formats.masc.MascSentence
getNameFinderSequenceModel() - Methode in Klasse opennlp.tools.namefind.TokenNameFinderModel
getNames() - Methode in Klasse opennlp.tools.namefind.NameSample
getNextPoint() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getNextPunctuationSet() - Methode in Klasse opennlp.tools.parser.Parse
getNGrams(String[], int) - Statische Methode in Klasse opennlp.tools.ngram.NGramUtils: Get the ngrams of dimension n of a certain input sequence of tokens.
getNGrams(StringList, int) - Statische Methode in Klasse opennlp.tools.ngram.NGramUtils: Get the ngrams of dimension n of a certain input sequence of tokens.
getNMinusOneTokenFirst(StringList) - Statische Methode in Klasse opennlp.tools.ngram.NGramUtils: get the (n-1)th ngram of a given ngram, that is the same ngram except the last word in the ngram
getNMinusOneTokenLast(StringList) - Statische Methode in Klasse opennlp.tools.ngram.NGramUtils: get the (n-1)th ngram of a given ngram, that is the same ngram except the first word in the ngram
getNonTokenizedText() - Methode in Klasse opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence
getNote() - Methode in Klasse opennlp.tools.formats.brat.BratAnnotation
getNumberOfCacheHits() - Methode in Klasse opennlp.tools.util.featuregen.CachedFeatureGenerator
getNumberOfCacheMisses() - Methode in Klasse opennlp.tools.util.featuregen.CachedFeatureGenerator
getNumberOfCategories() - Methode in Schnittstelle opennlp.tools.doccat.DocumentCategorizer: Retrieves the number of categories.
getNumberOfCategories() - Methode in Klasse opennlp.tools.doccat.DocumentCategorizerME
getNumEvents() - Methode in Klasse opennlp.tools.ml.model.AbstractDataIndexer
getNumEvents() - Methode in Schnittstelle opennlp.tools.ml.model.DataIndexer
getNumOutcomes() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.QNModel
getNumOutcomes() - Methode in Klasse opennlp.tools.ml.model.AbstractModel
getNumOutcomes() - Methode in Klasse opennlp.tools.ml.model.DynamicEvalParameters
getNumOutcomes() - Methode in Klasse opennlp.tools.ml.model.EvalParameters
getNumOutcomes() - Methode in Schnittstelle opennlp.tools.ml.model.MaxentModel
getNumTimesEventsSeen() - Methode in Klasse opennlp.tools.ml.model.AbstractDataIndexer
getNumTimesEventsSeen() - Methode in Schnittstelle opennlp.tools.ml.model.DataIndexer
getObjectSettings() - Methode in Klasse opennlp.tools.util.TrainingParameters
getObjectSettings(String) - Methode in Klasse opennlp.tools.util.TrainingParameters
getOntoNotesDir() - Methode in Schnittstelle opennlp.tools.formats.ontonotes.OntoNotesFormatParameters
getOrderedTags(List<String>, List<String>, int) - Methode in Klasse opennlp.tools.postag.POSTaggerME
getOrderedTags(List<String>, List<String>, int, double[]) - Methode in Klasse opennlp.tools.postag.POSTaggerME
getOriginal() - Methode in Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getOutcome() - Methode in Klasse opennlp.tools.ml.model.Event
getOutcome(int) - Methode in Klasse opennlp.tools.ml.model.AbstractModel
getOutcome(int) - Methode in Schnittstelle opennlp.tools.ml.model.MaxentModel: Retrieves the String name of the outcome associated with the index i.
getOutcome(int) - Methode in Klasse opennlp.tools.util.Sequence
getOutcomeLabels() - Methode in Klasse opennlp.tools.ml.model.AbstractDataIndexer
getOutcomeLabels() - Methode in Schnittstelle opennlp.tools.ml.model.DataIndexer
getOutcomeList() - Methode in Klasse opennlp.tools.ml.model.AbstractDataIndexer
getOutcomeList() - Methode in Schnittstelle opennlp.tools.ml.model.DataIndexer
getOutcomes() - Methode in Klasse opennlp.tools.ml.BeamSearch
getOutcomes() - Methode in Klasse opennlp.tools.ml.model.Context
getOutcomes() - Methode in Schnittstelle opennlp.tools.ml.model.SequenceClassificationModel
getOutcomes() - Methode in Klasse opennlp.tools.util.Sequence
getOutcomeTotals() - Methode in Klasse opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
getParagraphId() - Methode in Klasse opennlp.tools.formats.conllu.ConlluSentence
getParameters() - Methode in Klasse opennlp.tools.formats.AbstractSampleStreamFactory
getParameters() - Methode in Klasse opennlp.tools.ml.model.Context
getParameters(String) - Methode in Klasse opennlp.tools.util.TrainingParameters
getParams() - Methode in Schnittstelle opennlp.tools.cmdline.params.BasicTrainingParams
getParams() - Methode in Klasse opennlp.tools.ml.model.DynamicEvalParameters
getParams() - Methode in Klasse opennlp.tools.ml.model.EvalParameters
getParent() - Methode in Klasse opennlp.tools.parser.Parse
getParserChunkerModel() - Methode in Klasse opennlp.tools.parser.ParserModel
getParserTaggerModel() - Methode in Klasse opennlp.tools.parser.ParserModel
getParserType() - Methode in Klasse opennlp.tools.parser.ParserModel
getPhrasesAsSpanList() - Methode in Klasse opennlp.tools.chunker.ChunkSample
getPos() - Methode in Klasse opennlp.tools.formats.masc.MascToken
getPOSContextGenerator() - Methode in Klasse opennlp.tools.postag.POSTaggerFactory
getPOSContextGenerator(int) - Methode in Klasse opennlp.tools.postag.POSTaggerFactory
getPositions(char[]) - Methode in Klasse opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(char[]) - Methode in Schnittstelle opennlp.tools.sentdetect.EndOfSentenceScanner: The receiver scans cbuf for sentence ending characters and returns their offsets.
getPositions(CharSequence) - Methode in Klasse opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(CharSequence) - Methode in Schnittstelle opennlp.tools.sentdetect.EndOfSentenceScanner: The receiver scans the specified string for sentence ending characters and returns their offsets.
getPositions(StringBuffer) - Methode in Klasse opennlp.tools.sentdetect.DefaultEndOfSentenceScanner
getPositions(StringBuffer) - Methode in Schnittstelle opennlp.tools.sentdetect.EndOfSentenceScanner: The receiver scans buf for sentence ending characters and returns their offsets.
getPosSequenceModel() - Methode in Klasse opennlp.tools.postag.POSModel
getPosTag(ConlluTagset) - Methode in Klasse opennlp.tools.formats.conllu.ConlluWordLine
getPrecisionScore() - Methode in Klasse opennlp.tools.util.eval.FMeasure
getPredCounts() - Methode in Klasse opennlp.tools.ml.model.AbstractDataIndexer
getPredCounts() - Methode in Schnittstelle opennlp.tools.ml.model.DataIndexer
getPredLabels() - Methode in Klasse opennlp.tools.ml.model.AbstractDataIndexer
getPredLabels() - Methode in Schnittstelle opennlp.tools.ml.model.DataIndexer
getPreds() - Methode in Klasse opennlp.tools.chunker.ChunkSample
getPreviousPunctuationSet() - Methode in Klasse opennlp.tools.parser.Parse
getProb() - Methode in Klasse opennlp.tools.parser.Parse
getProb() - Methode in Klasse opennlp.tools.util.Span
getProb(int) - Methode in Klasse opennlp.tools.util.Sequence
getProbabilities() - Methode in Klasse opennlp.tools.tokenize.ThreadSafeTokenizerME
getProbs() - Methode in Klasse opennlp.tools.util.Sequence
getProbs(double[]) - Methode in Klasse opennlp.tools.util.Sequence: Populates an array with the probabilities associated with the Sequence outcomes.
getProperty(String, String) - Methode in Klasse opennlp.tools.entitylinker.EntityLinkerProperties: Retrieves a property value for a given key.
getPseudoGradAtNext() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getPunctuationTags() - Methode in Schnittstelle opennlp.tools.parser.HeadRules
getPunctuationTags() - Methode in Klasse opennlp.tools.parser.lang.en.HeadRules
getPunctuationTags() - Methode in Klasse opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
getQuarks() - Methode in Klasse opennlp.tools.formats.masc.MascToken
getRecallScore() - Methode in Klasse opennlp.tools.util.eval.FMeasure
getRegexMap() - Methode in Schnittstelle opennlp.tools.namefind.RegexNameFinderFactory.RegexAble
getReportOutputFile() - Methode in Schnittstelle opennlp.tools.cmdline.params.FineGrainedEvaluatorParams
getResource(String) - Methode in Schnittstelle opennlp.tools.util.featuregen.FeatureGeneratorResourceProvider
getResultBuffer() - Methode in Klasse opennlp.tools.stemmer.PorterStemmer: Returns a reference to a character buffer containing the results of the stemming process.
getResultLength() - Methode in Klasse opennlp.tools.stemmer.PorterStemmer: Returns the length of the word resulting from the stemming process.
getRevision() - Methode in Klasse opennlp.tools.util.Version
getRightFrontier(Parse, Set<String>) - Statische Methode in Klasse opennlp.tools.parser.treeinsert.Parser: Returns the right frontier of the specified tree with nodes ordered from deepest to shallowest.
getRoot() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.Sentence
getScore() - Methode in Klasse opennlp.tools.util.Sequence
getScoreMap() - Methode in Klasse opennlp.tools.entitylinker.BaseLink
getSDContextGenerator() - Methode in Klasse opennlp.tools.sentdetect.SentenceDetectorFactory
getSearchTerm() - Methode in Klasse opennlp.tools.entitylinker.LinkedSpan
getSecondaryTag() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
getSegments() - Methode in Klasse opennlp.tools.formats.nkjp.NKJPSegmentationDocument
getSentDetectText() - Methode in Klasse opennlp.tools.formats.masc.MascSentence
getSentence() - Methode in Klasse opennlp.tools.chunker.ChunkSample
getSentence() - Methode in Klasse opennlp.tools.namefind.NameSample
getSentence() - Methode in Klasse opennlp.tools.postag.POSSample
getSentenceCount() - Methode in Klasse opennlp.tools.cmdline.namefind.NameSampleCountersStream
getSentenceid() - Methode in Klasse opennlp.tools.entitylinker.LinkedSpan
getSentenceIdComment() - Methode in Klasse opennlp.tools.formats.conllu.ConlluSentence
getSentenceProbabilities() - Methode in Klasse opennlp.tools.sentdetect.SentenceDetectorME: Returns the probabilities associated with the most recent calls to SentenceDetectorME.sentDetect(CharSequence).
getSentenceProbabilities() - Methode in Klasse opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
getSentences() - Methode in Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument
getSentences() - Methode in Klasse opennlp.tools.formats.letsmt.LetsmtDocument
getSentences() - Methode in Klasse opennlp.tools.sentdetect.SentenceSample
getSequenceCodec() - Methode in Klasse opennlp.tools.namefind.TokenNameFinderModel
getSequenceModelTrainer(TrainingParameters, Map<String, String>) - Statische Methode in Klasse opennlp.tools.ml.TrainerFactory: Retrieves a SequenceTrainer that fits the given parameters.
getSequenceValidator() - Methode in Klasse opennlp.tools.chunker.ChunkerFactory
getSequenceValidator() - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerFactory
getSequenceValidator() - Methode in Klasse opennlp.tools.parser.ParserChunkerFactory
getSequenceValidator() - Methode in Klasse opennlp.tools.postag.POSTaggerFactory
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.chunker.ChunkerMETool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.chunker.ChunkerTrainerTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.doccat.DoccatCrossValidatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.doccat.DoccatEvaluatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.doccat.DoccatTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.doccat.DoccatTrainerTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.entitylinker.EntityLinkerTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorCrossValidatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorTrainerTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerEvaluatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerMETool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.parser.BuildModelUpdaterTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.parser.CheckModelUpdaterTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.parser.ParserEvaluatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.parser.ParserTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.parser.ParserTrainerTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.parser.TaggerModelReplacerTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.postag.POSTaggerTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.postag.POSTaggerTrainerTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.tokenizer.TokenizerMETool
getShortDescription() - Methode in Klasse opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool
getShortestEditScript(String, String) - Statische Methode in Klasse opennlp.tools.util.StringUtil
getSignVector() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getSize() - Methode in Klasse opennlp.tools.util.Sequence
getSource() - Methode in Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getSource() - Methode in Klasse opennlp.tools.ml.model.Sequence: This object is used when the events for this sequence need to be re-derived such as in a call to SequenceStream.updateContext(Sequence, AbstractModel).
getSpan() - Methode in Klasse opennlp.tools.parser.Constituent: Returns the span of the constituent.
getSpan() - Methode in Klasse opennlp.tools.parser.Parse
getSpans() - Methode in Klasse opennlp.tools.formats.brat.SpanAnnotation
getSpanType() - Methode in Klasse opennlp.tools.namefind.RegexNameFinder
getStart() - Methode in Klasse opennlp.tools.util.Span
getStepSize() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getStr(String) - Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getStr(String, String) - Methode in Klasse opennlp.tools.util.featuregen.GeneratorFactory.AbstractXmlFeatureGeneratorFactory
getStringParameter(String, String) - Methode in Klasse opennlp.tools.util.TrainingParameters: Obtains a training parameter value.
getStringParameter(String, String, String) - Methode in Klasse opennlp.tools.util.TrainingParameters: Obtains a training parameter value in the specified namespace.
getSupportedLanguages() - Methode in Schnittstelle opennlp.tools.langdetect.LanguageDetector
getSupportedLanguages() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorME
getSurface() - Methode in Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex
getSyntacticTag() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
getTagDictionary() - Methode in Klasse opennlp.tools.postag.POSTaggerFactory
getTagNodes() - Methode in Klasse opennlp.tools.parser.Parse
getTags() - Methode in Klasse opennlp.tools.chunker.ChunkSample
getTags() - Methode in Klasse opennlp.tools.formats.masc.MascPennTagParser
getTags() - Methode in Klasse opennlp.tools.formats.masc.MascSentence
getTags() - Methode in Klasse opennlp.tools.lemmatizer.LemmaSample
getTags() - Methode in Klasse opennlp.tools.postag.POSSample
getTags(String) - Methode in Klasse opennlp.tools.postag.POSDictionary: Returns a list of valid tags for the specified word.
getTags(String) - Methode in Schnittstelle opennlp.tools.postag.TagDictionary: Retrieves a list of valid tags for the specified word.
getTagSequenceProb() - Methode in Klasse opennlp.tools.parser.Parse
getTestSampleStream() - Methode in Klasse opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream: Retrieves the ObjectStream over the test/evaluations elements and poisons this CrossValidationPartitioner.TrainingSampleStream.
getText() - Methode in Klasse opennlp.tools.doccat.DocumentSample
getText() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.Sentence
getText() - Methode in Klasse opennlp.tools.formats.brat.BratDocument
getText() - Methode in Klasse opennlp.tools.parser.Parse
getText() - Methode in Klasse opennlp.tools.tokenize.TokenSample
getTextComment() - Methode in Klasse opennlp.tools.formats.conllu.ConlluSentence
getTextLang() - Methode in Klasse opennlp.tools.formats.conllu.ConlluSentence
getToken(int) - Methode in Klasse opennlp.tools.util.StringList
getTokenCount() - Methode in Klasse opennlp.tools.cmdline.namefind.NameSampleCountersStream
getTokenId() - Methode in Klasse opennlp.tools.formats.masc.MascToken
getTokenNodes() - Methode in Klasse opennlp.tools.parser.Parse
getTokenProbabilities() - Methode in Klasse opennlp.tools.tokenize.TokenizerME
getTokens() - Methode in Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getTokens() - Methode in Klasse opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence
getTokens() - Methode in Klasse opennlp.tools.lemmatizer.LemmaSample
getTokenSample() - Methode in Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getTokenSpans() - Methode in Klasse opennlp.tools.tokenize.TokenSample
getTokensSpans() - Methode in Klasse opennlp.tools.formats.masc.MascSentence: Retrieves the boundaries of individual tokens.
getTokenStrings() - Methode in Klasse opennlp.tools.formats.masc.MascSentence
getTokenText() - Methode in Klasse opennlp.tools.formats.masc.MascSentence
getTokenToQuarks() - Methode in Klasse opennlp.tools.formats.masc.MascPennTagParser
getTrainerType(TrainingParameters) - Statische Methode in Klasse opennlp.tools.ml.TrainerFactory: Determines the TrainerFactory.TrainerType based on the TrainingParameters.ALGORITHM_PARAM value.
getTranslation() - Methode in Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
getTranslit() - Methode in Klasse opennlp.tools.formats.conllu.ConlluSentence
getType() - Methode in Klasse opennlp.tools.formats.brat.BratAnnotation
getType() - Methode in Schnittstelle opennlp.tools.namefind.RegexNameFinderFactory.RegexAble
getType() - Methode in Klasse opennlp.tools.parser.Parse
getType() - Methode in Klasse opennlp.tools.util.Span
getTypeClass(String) - Methode in Klasse opennlp.tools.formats.brat.AnnotationConfiguration
getValue() - Methode in Klasse opennlp.tools.formats.brat.AttributeAnnotation
getValue() - Methode in Klasse opennlp.tools.util.MutableInt
getValue(String) - Methode in Klasse opennlp.tools.dictionary.serializer.Attributes: Retrieves the value for the given key or null if attribute it not set.
getValueAtCurr() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getValueAtNext() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
getValues() - Methode in Klasse opennlp.tools.ml.model.AbstractDataIndexer
getValues() - Methode in Schnittstelle opennlp.tools.ml.model.DataIndexer
getValues() - Methode in Klasse opennlp.tools.ml.model.Event
getValues() - Methode in Klasse opennlp.tools.ml.model.OnePassRealValueDataIndexer
getVersion() - Methode in Klasse opennlp.tools.util.model.BaseModel
getVocabulary() - Methode in Klasse opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
getWordAccuracy() - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerEvaluator: Accuracy is defined as: word accuracy = correctly detected tags / total words
getWordAccuracy() - Methode in Klasse opennlp.tools.postag.POSEvaluator: Accuracy defined as: word accuracy = correctly detected tags / total words
getWordAccuracy() - Methode in Klasse opennlp.tools.postag.POSTaggerCrossValidator
getWordClasses(String, BrownCluster) - Statische Methode in Klasse opennlp.tools.util.featuregen.BrownTokenClasses: It provides a list containing the pathLengths for a token if found in the Map:token,BrownClass.
getWordCount() - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerEvaluator
getWordCount() - Methode in Klasse opennlp.tools.postag.POSEvaluator
getWordCount() - Methode in Klasse opennlp.tools.postag.POSTaggerCrossValidator
getWordLines() - Methode in Klasse opennlp.tools.formats.conllu.ConlluSentence
GISModel - Klasse in opennlp.tools.ml.maxent: A maximum entropy model which has been trained using the Generalized Iterative Scaling (GIS) procedure.
GISModel(Context[], String[], String[]) - Konstruktor für Klasse opennlp.tools.ml.maxent.GISModel: Initializes a GISModel with the specified parameters, outcome names, and predicate/feature labels.
GISModel(Context[], String[], String[], Prior) - Konstruktor für Klasse opennlp.tools.ml.maxent.GISModel: Initializes a GISModel with the specified parameters, outcome names, and predicate/feature labels.
GISModelReader - Klasse in opennlp.tools.ml.maxent.io: The base class for readers of GIS models.
GISModelReader(File) - Konstruktor für Klasse opennlp.tools.ml.maxent.io.GISModelReader: Initializes a GISModelReader via a File.
GISModelReader(DataReader) - Konstruktor für Klasse opennlp.tools.ml.maxent.io.GISModelReader: Initializes a GISModelReader via a DataReader.
GISModelWriter - Klasse in opennlp.tools.ml.maxent.io: The base class for writers of GIS models.
GISModelWriter(AbstractModel) - Konstruktor für Klasse opennlp.tools.ml.maxent.io.GISModelWriter: Initializes a GISModelWriter for a GIS model.
GISTrainer - Klasse in opennlp.tools.ml.maxent: An implementation of Generalized Iterative Scaling (GIS).
GISTrainer() - Konstruktor für Klasse opennlp.tools.ml.maxent.GISTrainer: Initializes a GISTrainer.
Glove - Klasse in opennlp.tools.util.wordvector: GloVe is an unsupervised learning algorithm for obtaining vector representations for words.
gradientAt(double[]) - Methode in Schnittstelle opennlp.tools.ml.maxent.quasinewton.Function
gradientAt(double[]) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood: Computes the gradient.
gradientAt(double[]) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood: Computes the gradient.
gradientAt(double[]) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
GREEK - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
greekStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
greekStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.greekStemmer
guessFormat(POSModel) - Statische Methode in Klasse opennlp.tools.postag.POSTagFormatMapper: Guesses the POSTagFormat of a given POSModel

H

hashCode() - Methode in Klasse opennlp.tools.chunker.ChunkSample
hashCode() - Methode in Klasse opennlp.tools.dictionary.Dictionary
hashCode() - Methode in Datensatzklasse opennlp.tools.dictionary.serializer.Entry: Gibt einen Hashcodewert für diese Objekt zurück.
hashCode() - Methode in Klasse opennlp.tools.doccat.DocumentSample
hashCode() - Methode in Klasse opennlp.tools.entitylinker.BaseLink
hashCode() - Methode in Klasse opennlp.tools.entitylinker.LinkedSpan
hashCode() - Methode in Klasse opennlp.tools.langdetect.Language
hashCode() - Methode in Datensatzklasse opennlp.tools.langdetect.LanguageSample: Gibt einen Hashcodewert für diese Objekt zurück.
hashCode() - Methode in Datensatzklasse opennlp.tools.langdetect.ProbingLanguageDetectionResult: Gibt einen Hashcodewert für diese Objekt zurück.
hashCode() - Methode in Klasse opennlp.tools.lemmatizer.LemmaSample
hashCode() - Methode in Klasse opennlp.tools.ml.maxent.GISModel
hashCode() - Methode in Klasse opennlp.tools.ml.model.AbstractModel
hashCode() - Methode in Klasse opennlp.tools.ml.model.ComparableEvent
hashCode() - Methode in Klasse opennlp.tools.ml.model.ComparablePredicate
hashCode() - Methode in Klasse opennlp.tools.ml.model.Context
hashCode() - Methode in Klasse opennlp.tools.ml.model.EvalParameters
hashCode() - Methode in Klasse opennlp.tools.ml.model.UniformPrior
hashCode() - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronModel
hashCode() - Methode in Klasse opennlp.tools.namefind.NameSample
hashCode() - Methode in Klasse opennlp.tools.ngram.NGramCharModel
hashCode() - Methode in Klasse opennlp.tools.ngram.NGramModel
hashCode() - Methode in Klasse opennlp.tools.parser.lang.en.HeadRules
hashCode() - Methode in Klasse opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
hashCode() - Methode in Klasse opennlp.tools.parser.Parse
hashCode() - Methode in Klasse opennlp.tools.parser.ParserModel
hashCode() - Methode in Klasse opennlp.tools.postag.POSDictionary
hashCode() - Methode in Klasse opennlp.tools.postag.POSModel
hashCode() - Methode in Klasse opennlp.tools.postag.POSSample
hashCode() - Methode in Klasse opennlp.tools.sentdetect.SentenceSample
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.arabicStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.catalanStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.danishStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.dutchStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.englishStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.finnishStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.frenchStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.germanStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.greekStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.hungarianStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.indonesianStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.irishStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.italianStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.norwegianStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.porterStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.portugueseStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.romanianStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.russianStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.spanishStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.swedishStemmer
hashCode() - Methode in Klasse opennlp.tools.stemmer.snowball.turkishStemmer
hashCode() - Methode in Klasse opennlp.tools.tokenize.TokenizerModel
hashCode() - Methode in Klasse opennlp.tools.tokenize.TokenSample
hashCode() - Methode in Klasse opennlp.tools.util.Sequence
hashCode() - Methode in Klasse opennlp.tools.util.Span
hashCode() - Methode in Klasse opennlp.tools.util.StringList
hashCode() - Methode in Datensatzklasse opennlp.tools.util.TokenTag: Gibt einen Hashcodewert für diese Objekt zurück.
hashCode() - Methode in Klasse opennlp.tools.util.Version
hasNamedEntities() - Methode in Klasse opennlp.tools.formats.masc.MascDocument: Checks whether there is NER by GATE-5.0 ANNIE.
hasNext() - Methode in Schnittstelle opennlp.tools.ml.maxent.DataStream: Test whether there are any events remaining in this DataStream.
hasNext() - Methode in Klasse opennlp.tools.tokenize.lang.en.TokenSampleStream
hasNext() - Methode in Klasse opennlp.tools.util.eval.CrossValidationPartitioner: Checks if there are more partitions available.
hasNext() - Methode in Klasse opennlp.tools.util.ReverseListIterator
hasParams() - Methode in Klasse opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
hasPennTags() - Methode in Klasse opennlp.tools.formats.masc.MascDocument: Checks whether there is Penn tagging produced by GATE-5.0 ANNIE.
HeadRules - Klasse in opennlp.tools.parser.lang.en: Class for storing the English HeadRules associated with parsing.
HeadRules - Schnittstelle in opennlp.tools.parser: Encoder for head rules associated with parsing.
HeadRules(Reader) - Konstruktor für Klasse opennlp.tools.parser.lang.en.HeadRules: Creates a new set of head rules based on the specified reader.
HeadRules.HeadRulesSerializer - Klasse in opennlp.tools.parser.lang.en
HeadRulesSerializer() - Konstruktor für Klasse opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer
HeadRulesSerializer() - Konstruktor für Klasse opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer
HUNGARIAN - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
hungarianStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
hungarianStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.hungarianStemmer

I

ID - Statische Variable in Klasse opennlp.tools.util.ext.ExtensionServiceKeys: Property key for the unique id which identifies an OpenNLP extension service.
INC_NODE - Statische Variable in Klasse opennlp.tools.parser.AbstractBottomUpParser: The label for the top if an incomplete node.
INCOMPLETE - Statische Variable in Klasse opennlp.tools.parser.AbstractBottomUpParser: Outcome used when a constituent is incomplete.
increment() - Methode in Klasse opennlp.tools.util.MutableInt: Adds 1 to the curren value.
index(ObjectStream<Event>) - Methode in Schnittstelle opennlp.tools.ml.model.DataIndexer: Performs the data indexing.
index(ObjectStream<Event>) - Methode in Klasse opennlp.tools.ml.model.OnePassDataIndexer: Performs the data indexing.
index(ObjectStream<Event>) - Methode in Klasse opennlp.tools.ml.model.TwoPassDataIndexer: Performs the data indexing.
Index - Klasse in opennlp.tools.dictionary: This classes indexes string lists.
Index(Iterator<StringList>) - Konstruktor für Klasse opennlp.tools.dictionary.Index: Initializes an Index with the given Iterator over StringList elements.
indexOf(Parse) - Methode in Klasse opennlp.tools.parser.Parse
INDONESIAN - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
indonesianStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
indonesianStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.indonesianStemmer
init() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorFactory
init() - Methode in Klasse opennlp.tools.parser.treeinsert.ParserEventStream
init(EntityLinkerProperties) - Methode in Schnittstelle opennlp.tools.entitylinker.EntityLinker: Initializes an EntityLinker and allows for passing properties through the EntityLinkerFactory into all impls dynamically.
init(TrainingParameters, Map<String, String>) - Methode in Schnittstelle opennlp.tools.commons.Trainer: Conducts the initialization of an Trainer via TrainingParameters and a report map.
init(TrainingParameters, Map<String, String>) - Methode in Klasse opennlp.tools.ml.AbstractTrainer: Initializes a AbstractTrainer via TrainingParameters and a report map.
init(TrainingParameters, Map<String, String>) - Methode in Klasse opennlp.tools.ml.maxent.GISTrainer: Initializes a AbstractTrainer via TrainingParameters and a report map.
init(TrainingParameters, Map<String, String>) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer
init(TrainingParameters, Map<String, String>) - Methode in Klasse opennlp.tools.ml.model.AbstractDataIndexer: Sets parameters used during the data indexing.
init(TrainingParameters, Map<String, String>) - Methode in Schnittstelle opennlp.tools.ml.model.DataIndexer: Sets parameters used during the data indexing.
INITIAL_STEP_SIZE - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer
innerProduct(double[], double[]) - Statische Methode in Klasse opennlp.tools.ml.ArrayMath
InputStreamFactory - Schnittstelle in opennlp.tools.util: Allows repeated reads through a stream for certain model building types.
insert(Entry) - Methode in Schnittstelle opennlp.tools.dictionary.serializer.EntryInserter
insert(Parse) - Methode in Klasse opennlp.tools.parser.Parse: Inserts the specified constituent into this parse based on its text span.
InSpanGenerator - Klasse in opennlp.tools.util.featuregen: Generates features if the tokens are recognized by the provided TokenNameFinder.
InSpanGenerator(String, TokenNameFinder) - Konstruktor für Klasse opennlp.tools.util.featuregen.InSpanGenerator: Initializes a InSpanGenerator instance.
INSTANCE - Statische Variable in Klasse opennlp.tools.tokenize.SimpleTokenizer: Use this static reference to retrieve an instance of the SimpleTokenizer.
INSTANCE - Statische Variable in Klasse opennlp.tools.tokenize.WhitespaceTokenizer: Use this static reference to retrieve an instance of the WhitespaceTokenizer.
instantiateExtension(Class<T>, String) - Statische Methode in Klasse opennlp.tools.util.ext.ExtensionLoader: Instantiates a user provided extension to OpenNLP.
instantiateSequenceCodec(String) - Statische Methode in Klasse opennlp.tools.namefind.TokenNameFinderFactory: Initializes a SequenceCodec instance via given parameters.
InsufficientTrainingDataException - Ausnahmeklasse in opennlp.tools.util: This exception indicates that the provided training data is insufficient to train a desired model.
InsufficientTrainingDataException(String) - Konstruktor für Ausnahmeklasse opennlp.tools.util.InsufficientTrainingDataException
InsufficientTrainingDataException(String, Throwable) - Konstruktor für Ausnahmeklasse opennlp.tools.util.InsufficientTrainingDataException
InsufficientTrainingDataException(Throwable) - Konstruktor für Ausnahmeklasse opennlp.tools.util.InsufficientTrainingDataException
intern(String) - Methode in Schnittstelle opennlp.tools.util.jvm.StringInterner: Interns and returns a reference to the representative instance for any collection of string instances that are equal to each other.
intern(String) - Statische Methode in Klasse opennlp.tools.util.jvm.StringInterners: Interns and returns a reference to the representative instance for any collection of string instances that are equal to each other.
Internal - Annotationsschnittstelle in opennlp.tools.commons: Classes, fields, or methods annotated @Internal are for OpenNLP internal use only.
intersects(Span) - Methode in Klasse opennlp.tools.util.Span: Checks if the specified Span intersects with this span.
InvalidFormatException - Ausnahmeklasse in opennlp.tools.util: This exception indicates that a resource violates the expected data format.
InvalidFormatException(String) - Konstruktor für Ausnahmeklasse opennlp.tools.util.InvalidFormatException
InvalidFormatException(String, Throwable) - Konstruktor für Ausnahmeklasse opennlp.tools.util.InvalidFormatException
InvalidFormatException(Throwable) - Konstruktor für Ausnahmeklasse opennlp.tools.util.InvalidFormatException
invL2norm(double[]) - Statische Methode in Klasse opennlp.tools.ml.ArrayMath: Computes the Inverse L2-norm for a vector v.
IRISH - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
IrishSentenceBankDocument - Klasse in opennlp.tools.formats.irishsentencebank: A structure to hold an Irish Sentence Bank document, which is a collection of tokenized sentences.
IrishSentenceBankDocument() - Konstruktor für Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument: Initializes an empty IrishSentenceBankDocument.
IrishSentenceBankDocument.IrishSentenceBankFlex - Klasse in opennlp.tools.formats.irishsentencebank
IrishSentenceBankDocument.IrishSentenceBankSentence - Klasse in opennlp.tools.formats.irishsentencebank
IrishSentenceBankFlex(String, String[]) - Konstruktor für Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankFlex
IrishSentenceBankSentence(String, String, String, Span[], IrishSentenceBankDocument.IrishSentenceBankFlex[]) - Konstruktor für Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument.IrishSentenceBankSentence
IrishSentenceBankSentenceStreamFactory - Klasse in opennlp.tools.formats.irishsentencebank
IrishSentenceBankTokenSampleStreamFactory - Klasse in opennlp.tools.formats.irishsentencebank
irishStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
irishStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.irishStemmer
isAllCapitalLetter() - Methode in Klasse opennlp.tools.util.featuregen.StringPattern
isAllDigit() - Methode in Klasse opennlp.tools.util.featuregen.StringPattern
isAllHiragana() - Methode in Klasse opennlp.tools.util.featuregen.StringPattern
isAllKatakana() - Methode in Klasse opennlp.tools.util.featuregen.StringPattern
isAllLetter() - Methode in Klasse opennlp.tools.util.featuregen.StringPattern
isAllLowerCaseLetter() - Methode in Klasse opennlp.tools.util.featuregen.StringPattern
isCaseSensitive() - Methode in Klasse opennlp.tools.dictionary.Dictionary
isCaseSensitive() - Methode in Klasse opennlp.tools.postag.POSDictionary
isCaseSensitive() - Methode in Schnittstelle opennlp.tools.postag.TagDictionary: Whether the dictionary is case-sensitive or not.
isCaseSensitive() - Methode in Klasse opennlp.tools.util.StringList
isChunk() - Methode in Klasse opennlp.tools.parser.Parse
isChunk(boolean) - Methode in Klasse opennlp.tools.parser.Parse
isClearAdaptiveDataSet() - Methode in Klasse opennlp.tools.namefind.NameSample
isEmpty(CharSequence) - Statische Methode in Klasse opennlp.tools.util.StringUtil
isFlat() - Methode in Klasse opennlp.tools.parser.Parse: Indicates whether this parse node contains no sub-constituents.
isInitialCapitalLetter() - Methode in Klasse opennlp.tools.util.featuregen.StringPattern
isLarger(Probability<T>) - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbability
isLarger(Probability<T>) - Methode in Klasse opennlp.tools.ml.naivebayes.Probability: Checks if a probability is greater than the old one.
isLeaf() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
isLeaf() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
isLoadedFromSerialized() - Methode in Schnittstelle opennlp.tools.util.model.ArtifactProvider: Indicates if this provider was loaded from a serialized form.
isLoadedFromSerialized() - Methode in Klasse opennlp.tools.util.model.BaseModel
isNewDocument() - Methode in Klasse opennlp.tools.formats.conllu.ConlluSentence
isNewParagraph() - Methode in Klasse opennlp.tools.formats.conllu.ConlluSentence
isPosTag() - Methode in Klasse opennlp.tools.parser.Parse: Indicates whether this parse node is a pos-tag.
isSnapshot() - Methode in Klasse opennlp.tools.util.Version
isSortAndMerge() - Methode in Klasse opennlp.tools.ml.AbstractEventTrainer
isSortAndMerge() - Methode in Klasse opennlp.tools.ml.maxent.GISTrainer
isSortAndMerge() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer
isSortAndMerge() - Methode in Klasse opennlp.tools.ml.naivebayes.NaiveBayesTrainer
isSortAndMerge() - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronTrainer
isUseAlphaNumericOptimization() - Methode in Klasse opennlp.tools.tokenize.TokenizerFactory
isUseTokenEnd() - Methode in Klasse opennlp.tools.sentdetect.SentenceDetectorFactory
isValid(TrainingParameters) - Statische Methode in Klasse opennlp.tools.ml.TrainerFactory
isWhitespace(char) - Statische Methode in Klasse opennlp.tools.util.StringUtil: Determines if the specified Character is a whitespace.
isWhitespace(int) - Statische Methode in Klasse opennlp.tools.util.StringUtil: Determines if the specified Character is a whitespace.
IT - Enum-Konstante in Enum-Klasse opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE
ITALIAN - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
italianStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
italianStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.italianStemmer
ITERATIONS_DEFAULT_VALUE - Statische Variable in Klasse opennlp.tools.util.TrainingParameters: The default number of iterations is 100.
ITERATIONS_PARAM - Statische Variable in Klasse opennlp.tools.util.TrainingParameters
iterator() - Methode in Klasse opennlp.tools.dictionary.Dictionary
iterator() - Methode in Klasse opennlp.tools.dictionary.serializer.Attributes: Iterates over the keys.
iterator() - Methode in Klasse opennlp.tools.ngram.NGramCharModel: Retrieves an Iterator over all entries.
iterator() - Methode in Klasse opennlp.tools.ngram.NGramModel: Retrieves an Iterator over all StringList entries.
iterator() - Methode in Klasse opennlp.tools.postag.POSDictionary: Retrieves an Iterator over all words in the dictionary.
iterator() - Methode in Klasse opennlp.tools.util.StringList

J

jpnEosCharacters - Statische Variable in Klasse opennlp.tools.sentdetect.lang.Factory

L

L1COST_DEFAULT - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer
L1COST_DEFAULT - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer
L1COST_PARAM - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer
l1norm(double[]) - Statische Methode in Klasse opennlp.tools.ml.ArrayMath: Computes the L1-norm for a vector v.
L2COST_DEFAULT - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer
L2COST_DEFAULT - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer
L2COST_PARAM - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer
l2norm(double[]) - Statische Methode in Klasse opennlp.tools.ml.ArrayMath: Computes the L2-norm for a vector v.
L2RegFunction(Function, double) - Konstruktor für Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
labelGaps(Stack<Constituent>) - Methode in Schnittstelle opennlp.tools.parser.GapLabeler: Labels constituents found in the stack with gap labels if appropriate.
labelGaps(Stack<Constituent>) - Methode in Klasse opennlp.tools.parser.lang.en.HeadRules
labelGaps(Stack<Constituent>) - Methode in Klasse opennlp.tools.parser.lang.es.AncoraSpanishHeadRules
language() - Methode in Datensatzklasse opennlp.tools.langdetect.LanguageSample: Gibt den Wert für die Datensatzkomponente language zurück.
Language - Klasse in opennlp.tools.langdetect: Class for holding the document language and its confidence
Language(String) - Konstruktor für Klasse opennlp.tools.langdetect.Language
Language(String, double) - Konstruktor für Klasse opennlp.tools.langdetect.Language
LanguageDetector - Schnittstelle in opennlp.tools.langdetect: The interface for LanguageDetector which predicts the Language for a context.
LanguageDetectorConfig - Klasse in opennlp.tools.langdetect
LanguageDetectorConfig() - Konstruktor für Klasse opennlp.tools.langdetect.LanguageDetectorConfig
LanguageDetectorContextGenerator - Schnittstelle in opennlp.tools.langdetect: A context generator interface for LanguageDetector.
LanguageDetectorConverterTool - Klasse in opennlp.tools.cmdline.langdetect: Tool to convert multiple data formats into native OpenNLP language detection training format.
LanguageDetectorConverterTool() - Konstruktor für Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorConverterTool
LanguageDetectorCrossValidator - Klasse in opennlp.tools.langdetect: Cross validator for LanguageDetector.
LanguageDetectorCrossValidator(TrainingParameters, LanguageDetectorFactory, LanguageDetectorEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.langdetect.LanguageDetectorCrossValidator: Initializes a LanguageDetectorCrossValidator with the given parameters.
LanguageDetectorCrossValidatorTool - Klasse in opennlp.tools.cmdline.langdetect
LanguageDetectorCrossValidatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorCrossValidatorTool
LanguageDetectorEvaluationErrorListener - Klasse in opennlp.tools.cmdline.langdetect: A default implementation of EvaluationMonitor that prints to an output stream.
LanguageDetectorEvaluationErrorListener() - Konstruktor für Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluationErrorListener: Creates a listener that will print to the configured logger.
LanguageDetectorEvaluationErrorListener(OutputStream) - Konstruktor für Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluationErrorListener: Creates a listener that will print to a given OutputStream
LanguageDetectorEvaluationMonitor - Schnittstelle in opennlp.tools.langdetect: A marker interface for evaluating language detectors.
LanguageDetectorEvaluator - Klasse in opennlp.tools.langdetect: The LanguageDetectorEvaluator measures the performance of the given LanguageDetector with the provided reference LanguageSamples.
LanguageDetectorEvaluator(LanguageDetector, LanguageDetectorEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.langdetect.LanguageDetectorEvaluator: Initializes an instance to evaluate a LanguageDetector.
LanguageDetectorEvaluatorTool - Klasse in opennlp.tools.cmdline.langdetect: A default LanguageSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.
LanguageDetectorEvaluatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluatorTool
LanguageDetectorEventStream - Klasse in opennlp.tools.langdetect: Iterator-like class for modeling an event stream of samples.
LanguageDetectorEventStream(ObjectStream<LanguageSample>, LanguageDetectorContextGenerator) - Konstruktor für Klasse opennlp.tools.langdetect.LanguageDetectorEventStream: Initializes an instance via samples and feature generators.
LanguageDetectorFactory - Klasse in opennlp.tools.langdetect: Default factory used by LanguageDetector.
LanguageDetectorFactory() - Konstruktor für Klasse opennlp.tools.langdetect.LanguageDetectorFactory
LanguageDetectorFineGrainedReportListener - Klasse in opennlp.tools.cmdline.langdetect: Generates a detailed report for the POS Tagger.
LanguageDetectorFineGrainedReportListener() - Konstruktor für Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener: Creates a listener that will print to System.err
LanguageDetectorFineGrainedReportListener(OutputStream) - Konstruktor für Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener: Creates a listener that prints to a given OutputStream
LanguageDetectorME - Klasse in opennlp.tools.langdetect: Implements a learnable LanguageDetector.
LanguageDetectorME(LanguageDetectorModel) - Konstruktor für Klasse opennlp.tools.langdetect.LanguageDetectorME: Initializes an instance with a specific LanguageDetectorModel.
LanguageDetectorModel - Klasse in opennlp.tools.langdetect: The LanguageDetectorModel is the model used by a learnable LanguageDetector.
LanguageDetectorModel(File) - Konstruktor für Klasse opennlp.tools.langdetect.LanguageDetectorModel: Initializes a LanguageDetectorModel instance via a valid File.
LanguageDetectorModel(InputStream) - Konstruktor für Klasse opennlp.tools.langdetect.LanguageDetectorModel: Initializes a LanguageDetectorModel instance via a valid InputStream.
LanguageDetectorModel(URL) - Konstruktor für Klasse opennlp.tools.langdetect.LanguageDetectorModel: Initializes a LanguageDetectorModel instance via a valid URL.
LanguageDetectorModel(MaxentModel, Map<String, String>, LanguageDetectorFactory) - Konstruktor für Klasse opennlp.tools.langdetect.LanguageDetectorModel: Initializes a LanguageDetectorModel instance via given parameters.
LanguageDetectorModelLoader - Klasse in opennlp.tools.cmdline.langdetect: Loads a LanguageDetectorModel for the command line tools.
LanguageDetectorModelLoader() - Konstruktor für Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorModelLoader
LanguageDetectorSampleStream - Klasse in opennlp.tools.langdetect: This class reads in string encoded training samples, parses them and outputs LanguageSample objects.
LanguageDetectorSampleStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.langdetect.LanguageDetectorSampleStream: Initializes a instance.
LanguageDetectorSampleStreamFactory - Klasse in opennlp.tools.formats: Factory producing OpenNLP DocumentSampleStreams.
LanguageDetectorTool - Klasse in opennlp.tools.cmdline.langdetect
LanguageDetectorTool() - Konstruktor für Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorTool
LanguageDetectorTrainerTool - Klasse in opennlp.tools.cmdline.langdetect
LanguageDetectorTrainerTool() - Konstruktor für Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorTrainerTool
LanguageModel - Schnittstelle in opennlp.tools.languagemodel: A language model can calculate the probability p (between 0 and 1) of a certain sequence of tokens, given its underlying vocabulary.
LanguageParams - Schnittstelle in opennlp.tools.cmdline.params
languages() - Methode in Datensatzklasse opennlp.tools.langdetect.ProbingLanguageDetectionResult: Gibt den Wert für die Datensatzkomponente languages zurück.
LanguageSample - Datensatzklasse in opennlp.tools.langdetect: Holds a classified document and its Language.
LanguageSample(Language, CharSequence) - Konstruktor für Datensatzklasse opennlp.tools.langdetect.LanguageSample: Erstellt eine Instanz einer Datensatzklasse LanguageSample.
LanguageSampleStreamFactory<T,P> - Klasse in opennlp.tools.formats: Stream factory for those streams which carry language.
LAST - Statische Variable in Klasse opennlp.tools.namefind.BilouCodec
Leaf() - Konstruktor für Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
LeipzigLanguageSampleStream - Klasse in opennlp.tools.formats.leipzig
LeipzigLanguageSampleStream(File, int, int) - Konstruktor für Klasse opennlp.tools.formats.leipzig.LeipzigLanguageSampleStream: Initializes a LeipzigLanguageSampleStream.
LeipzigLanguageSampleStreamFactory - Klasse in opennlp.tools.formats.leipzig: Note: Do not use this class, internal use only!
LEMMA_NUMBER - Statische Variable in Klasse opennlp.tools.lemmatizer.LemmatizerME
LemmaEvaluationErrorListener - Klasse in opennlp.tools.cmdline.lemmatizer: A default implementation of EvaluationMonitor that prints to an output stream.
LemmaEvaluationErrorListener() - Konstruktor für Klasse opennlp.tools.cmdline.lemmatizer.LemmaEvaluationErrorListener: Creates a listener that will print to the configured logger.
LemmaEvaluationErrorListener(OutputStream) - Konstruktor für Klasse opennlp.tools.cmdline.lemmatizer.LemmaEvaluationErrorListener: Creates a listener that will print to a given OutputStream
LemmaSample - Klasse in opennlp.tools.lemmatizer: Represents a lemmatized sentence.
LemmaSample(String[], String[], String[]) - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmaSample: Initializes a LemmaSample instance with the given parameters.
LemmaSample(List<String>, List<String>, List<String>) - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmaSample: Initializes a LemmaSample instance with the given parameters.
LemmaSampleEventStream - Klasse in opennlp.tools.lemmatizer: Class for creating an event stream out of data files for training a probabilistic Lemmatizer.
LemmaSampleEventStream(ObjectStream<LemmaSample>, LemmatizerContextGenerator) - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmaSampleEventStream: Creates a new event stream based on the specified data stream using a LemmatizerContextGenerator.
LemmaSampleSequenceStream - Klasse in opennlp.tools.lemmatizer: A SequenceStream implementation encapsulating samples.
LemmaSampleSequenceStream(ObjectStream<LemmaSample>, LemmatizerContextGenerator) - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmaSampleSequenceStream
LemmaSampleStream - Klasse in opennlp.tools.lemmatizer: Reads data for training and testing the Lemmatizer.
LemmaSampleStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmaSampleStream: Initializes a instance.
lemmatize(String[], String[]) - Methode in Klasse opennlp.tools.lemmatizer.DictionaryLemmatizer
lemmatize(String[], String[]) - Methode in Schnittstelle opennlp.tools.lemmatizer.Lemmatizer: Generates lemmas for the word and postag.
lemmatize(String[], String[]) - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerME
lemmatize(String[], String[]) - Methode in Klasse opennlp.tools.lemmatizer.ThreadSafeLemmatizerME
lemmatize(List<String>, List<String>) - Methode in Klasse opennlp.tools.lemmatizer.DictionaryLemmatizer
lemmatize(List<String>, List<String>) - Methode in Schnittstelle opennlp.tools.lemmatizer.Lemmatizer: Generates lemma tags for the word and postag.
lemmatize(List<String>, List<String>) - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerME
lemmatize(List<String>, List<String>) - Methode in Klasse opennlp.tools.lemmatizer.ThreadSafeLemmatizerME
Lemmatizer - Schnittstelle in opennlp.tools.lemmatizer: The common interface for lemmatizers.
LEMMATIZER - Enum-Konstante in Enum-Klasse opennlp.tools.util.DownloadUtil.ModelType
LemmatizerContextGenerator - Schnittstelle in opennlp.tools.lemmatizer: Interface for the context generator used for probabilistic Lemmatizer.
LemmatizerEvaluationMonitor - Schnittstelle in opennlp.tools.lemmatizer: A marker interface for evaluating lemmatizers.
LemmatizerEvaluator - Klasse in opennlp.tools.lemmatizer: The LemmatizerEvaluator measures the performance of the given Lemmatizer with the provided reference samples.
LemmatizerEvaluator(Lemmatizer, LemmatizerEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmatizerEvaluator: Initializes a LemmatizerEvaluator instance with the given Lemmatizer.
LemmatizerEvaluatorTool - Klasse in opennlp.tools.cmdline.lemmatizer: A default LemmaSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.
LemmatizerEvaluatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerEvaluatorTool
LemmatizerFactory - Klasse in opennlp.tools.lemmatizer: The factory that provides Lemmatizer default implementation and resources.
LemmatizerFactory() - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmatizerFactory: Instantiates a LemmatizerFactory that provides the default implementation of the resources.
LemmatizerFineGrainedReportListener - Klasse in opennlp.tools.cmdline.lemmatizer: Generates a detailed report for the Lemmatizer.
LemmatizerFineGrainedReportListener() - Konstruktor für Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener: Creates a listener that will print to the configured logger.
LemmatizerFineGrainedReportListener(OutputStream) - Konstruktor für Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener: Creates a listener that prints to a given OutputStream
LemmatizerME - Klasse in opennlp.tools.lemmatizer: A probabilistic Lemmatizer implementation.
LemmatizerME(LemmatizerModel) - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmatizerME: Initializes a LemmatizerME with the provided model and a default beam size of 3.
LemmatizerMETool - Klasse in opennlp.tools.cmdline.lemmatizer
LemmatizerMETool() - Konstruktor für Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerMETool
LemmatizerModel - Klasse in opennlp.tools.lemmatizer: The LemmatizerModel is the model used by a learnable Lemmatizer.
LemmatizerModel(File) - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via a valid File.
LemmatizerModel(InputStream) - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via a valid InputStream.
LemmatizerModel(String, MaxentModel, int, Map<String, String>, LemmatizerFactory) - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via given parameters.
LemmatizerModel(String, MaxentModel, Map<String, String>, LemmatizerFactory) - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via given parameters.
LemmatizerModel(String, MaxentModel, LemmatizerFactory) - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via given parameters.
LemmatizerModel(String, SequenceClassificationModel, Map<String, String>, LemmatizerFactory) - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via given parameters.
LemmatizerModel(URL) - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via a valid URL.
LemmatizerModel(Path) - Konstruktor für Klasse opennlp.tools.lemmatizer.LemmatizerModel: Initializes a LemmatizerModel instance via a valid Path.
LemmatizerModelLoader - Klasse in opennlp.tools.cmdline.lemmatizer: Loads a LemmatizerModel for the command line tools.
LemmatizerModelLoader() - Konstruktor für Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerModelLoader
LemmatizerSampleStreamFactory - Klasse in opennlp.tools.formats: Factory producing OpenNLP LemmaSampleStreams.
LemmatizerTrainerTool - Klasse in opennlp.tools.cmdline.lemmatizer
LemmatizerTrainerTool() - Konstruktor für Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool
length() - Methode in Datensatzklasse opennlp.tools.langdetect.ProbingLanguageDetectionResult: Gibt den Wert für die Datensatzkomponente length zurück.
length() - Methode in Klasse opennlp.tools.util.Span
LetsmtDocument - Klasse in opennlp.tools.formats.letsmt: A structure to hold the letsmt document.
LetsmtDocument.LetsmtDocumentHandler - Klasse in opennlp.tools.formats.letsmt: A content handler to receive and process SAX events.
LetsmtDocument.LetsmtSentence - Klasse in opennlp.tools.formats.letsmt
LetsmtDocumentHandler() - Konstruktor für Klasse opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtDocumentHandler
LetsmtSentence() - Konstruktor für Klasse opennlp.tools.formats.letsmt.LetsmtDocument.LetsmtSentence
LetsmtSentenceStreamFactory - Klasse in opennlp.tools.formats.letsmt
levenshteinDistance(String, String) - Statische Methode in Klasse opennlp.tools.util.StringUtil: Computes the Levenshtein distance of two strings in a matrix.
LineSearch - Klasse in opennlp.tools.ml.maxent.quasinewton: Class that performs line search to find minimum.
LineSearch() - Konstruktor für Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch
LineSearch.LineSearchResult - Klasse in opennlp.tools.ml.maxent.quasinewton: Represents a LineSearch result.
LineSearchResult(double, double, double, double[], double[], double[], double[], double[], double[], int) - Konstruktor für Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult: Constructor with sign vector
LineSearchResult(double, double, double, double[], double[], double[], double[], int) - Konstruktor für Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult: Constructor
LinkedSpan<T> - Klasse in opennlp.tools.entitylinker: A default, extended Span that holds additional information about a Span.
LinkedSpan(ArrayList<T>, int, int) - Konstruktor für Klasse opennlp.tools.entitylinker.LinkedSpan: Initializes a new LinkedSpan.
LinkedSpan(ArrayList<T>, int, int, String) - Konstruktor für Klasse opennlp.tools.entitylinker.LinkedSpan: Initializes a new LinkedSpan.
LinkedSpan(ArrayList<T>, int, int, String, double) - Konstruktor für Klasse opennlp.tools.entitylinker.LinkedSpan: Initializes a new LinkedSpan.
LinkedSpan(ArrayList<T>, Span, int) - Konstruktor für Klasse opennlp.tools.entitylinker.LinkedSpan: Initializes a new LinkedSpan via an existing Span which is shifted by the specified offset.
loadResources(File, File) - Statische Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool: Load the resources, such as dictionaries, by reading the feature xml descriptor and looking into the directory passed as argument.
LOG_LIKELIHOOD_THRESHOLD_DEFAULT - Statische Variable in Klasse opennlp.tools.ml.maxent.GISTrainer
LOG_LIKELIHOOD_THRESHOLD_PARAM - Statische Variable in Klasse opennlp.tools.ml.maxent.GISTrainer
LogPrintStream - Klasse in opennlp.tools.log: This class serves as an adapter for a Logger used within a PrintStream.
LogPrintStream(Logger) - Konstruktor für Klasse opennlp.tools.log.LogPrintStream: Creates a LogPrintStream for the given Logger.
LogPrintStream(Logger, Level) - Konstruktor für Klasse opennlp.tools.log.LogPrintStream: Creates a LogPrintStream for the given Logger, which logs at the specified level.
logPrior(double[], int[]) - Methode in Schnittstelle opennlp.tools.ml.model.Prior: Populates the specified array with the log of the distribution for the specified context.
logPrior(double[], int[]) - Methode in Klasse opennlp.tools.ml.model.UniformPrior
logPrior(double[], int[], float[]) - Methode in Schnittstelle opennlp.tools.ml.model.Prior: Populates the specified array with the log of the distribution for the specified context.
logPrior(double[], int[], float[]) - Methode in Klasse opennlp.tools.ml.model.UniformPrior
logPrior(double[], Context[], float[]) - Methode in Schnittstelle opennlp.tools.ml.model.Prior: Populates the specified array with the log of the distribution for the specified context.
logPrior(double[], Context[], float[]) - Methode in Klasse opennlp.tools.ml.model.UniformPrior
LogProbabilities<T> - Klasse in opennlp.tools.ml.naivebayes: Class implementing the probability distribution over labels returned by a classifier as a log of probabilities.
LogProbabilities() - Konstruktor für Klasse opennlp.tools.ml.naivebayes.LogProbabilities
LogProbability<T> - Klasse in opennlp.tools.ml.naivebayes: A class implementing the logarithmic Probability for a label.
LogProbability(T) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.LogProbability
logSumOfExps(double[]) - Statische Methode in Klasse opennlp.tools.ml.ArrayMath: Computes \log(\sum_{i=1}^n e^{x_i}) using a maximum-element trick to avoid arithmetic overflow.
lookupToken(String) - Methode in Klasse opennlp.tools.util.featuregen.BrownCluster: Check if a token is in the Brown:paths, token map.
lookupToken(String) - Methode in Klasse opennlp.tools.util.featuregen.WordClusterDictionary

M

M_DEFAULT - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer
M_DEFAULT - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer
M_PARAM - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer
MarkableFileInputStreamFactory - Klasse in opennlp.tools.util: A factory that creates MarkableFileInputStream from a File
MarkableFileInputStreamFactory(File) - Konstruktor für Klasse opennlp.tools.util.MarkableFileInputStreamFactory: Initializes a MarkableFileInputStreamFactory.
MASC_FORMAT - Statische Variable in Klasse opennlp.tools.formats.masc.MascNamedEntitySampleStreamFactory
MASC_FORMAT - Statische Variable in Klasse opennlp.tools.formats.masc.MascPOSSampleStreamFactory
MASC_FORMAT - Statische Variable in Klasse opennlp.tools.formats.masc.MascSentenceSampleStreamFactory
MASC_FORMAT - Statische Variable in Klasse opennlp.tools.formats.masc.MascTokenSampleStreamFactory
MascDocument - Klasse in opennlp.tools.formats.masc
MascDocument(String, List<MascSentence>) - Konstruktor für Klasse opennlp.tools.formats.masc.MascDocument
MascDocumentStream - Klasse in opennlp.tools.formats.masc
MascDocumentStream(File) - Konstruktor für Klasse opennlp.tools.formats.masc.MascDocumentStream
MascDocumentStream(File, boolean, FileFilter) - Konstruktor für Klasse opennlp.tools.formats.masc.MascDocumentStream: Creates a MascDocumentStream to read the documents from a given directory.
MascNamedEntityParser - Klasse in opennlp.tools.formats.masc: A class to process the MASC Named entity stand-off annotation file
MascNamedEntityParser() - Konstruktor für Klasse opennlp.tools.formats.masc.MascNamedEntityParser
MascNamedEntitySampleStream - Klasse in opennlp.tools.formats.masc
MascNamedEntitySampleStream(ObjectStream<MascDocument>) - Konstruktor für Klasse opennlp.tools.formats.masc.MascNamedEntitySampleStream: Initializes MascNamedEntitySampleStream from a stream of documents.
MascNamedEntitySampleStreamFactory - Klasse in opennlp.tools.formats.masc
MascPennTagParser - Klasse in opennlp.tools.formats.masc: A class for parsing MASC's Penn tagging/tokenization stand-off annotation
MascPennTagParser() - Konstruktor für Klasse opennlp.tools.formats.masc.MascPennTagParser
MascPOSSampleStream - Klasse in opennlp.tools.formats.masc
MascPOSSampleStream(ObjectStream<MascDocument>) - Konstruktor für Klasse opennlp.tools.formats.masc.MascPOSSampleStream: Initializes MascPOSSampleStream from a stream of documents.
MascPOSSampleStreamFactory - Klasse in opennlp.tools.formats.masc
MascSentence - Klasse in opennlp.tools.formats.masc
MascSentence(int, int, String, List<MascWord>, List<MascWord>) - Konstruktor für Klasse opennlp.tools.formats.masc.MascSentence: Initializes a MascSentence containing its associated text and quarks
MascSentenceSampleStream - Klasse in opennlp.tools.formats.masc
MascSentenceSampleStream(ObjectStream<MascDocument>, int) - Konstruktor für Klasse opennlp.tools.formats.masc.MascSentenceSampleStream
MascSentenceSampleStreamFactory - Klasse in opennlp.tools.formats.masc
MascToken - Klasse in opennlp.tools.formats.masc: A specialized Span to express tokens in documents.
MascToken(int, int, int, String, String, MascWord[]) - Konstruktor für Klasse opennlp.tools.formats.masc.MascToken: Initializes a MascToken which may combine multiple quarks.
MascTokenSampleStream - Klasse in opennlp.tools.formats.masc
MascTokenSampleStream(ObjectStream<MascDocument>) - Konstruktor für Klasse opennlp.tools.formats.masc.MascTokenSampleStream: Initializes a MascTokenSampleStream.
MascTokenSampleStreamFactory - Klasse in opennlp.tools.formats.masc
MascWord - Klasse in opennlp.tools.formats.masc
MascWord(int, int, int) - Konstruktor für Klasse opennlp.tools.formats.masc.MascWord: Holds one of MASC's quarks, that is: basic-level units (may be sub-word).
max(double[]) - Statische Methode in Klasse opennlp.tools.ml.ArrayMath: Finds the maximum element in a vector x.
MAX_FCT_EVAL_DEFAULT - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer
MAX_FCT_EVAL_DEFAULT - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer
MAX_FCT_EVAL_PARAM - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer
Maxent - Enum-Konstante in Enum-Klasse opennlp.tools.ml.model.AbstractModel.ModelType
MAXENT - Enum-Konstante in Enum-Klasse opennlp.tools.util.model.ModelType
MAXENT_QN_VALUE - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer
MAXENT_VALUE - Statische Variable in Klasse opennlp.tools.ml.maxent.GISTrainer
MaxentModel - Schnittstelle in opennlp.tools.ml.model: Interface for maximum entropy models.
MaxentQn - Enum-Konstante in Enum-Klasse opennlp.tools.ml.model.AbstractModel.ModelType
mean() - Methode in Klasse opennlp.tools.util.eval.Mean
Mean - Klasse in opennlp.tools.util.eval: Calculates the arithmetic mean of values added with the Mean.add(double) method.
Mean() - Konstruktor für Klasse opennlp.tools.util.eval.Mean
MERGE_BOTH - Enum-Konstante in Enum-Klasse opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: The current token should be attached to the string on the left side, as well as to the start token on the right side.
MERGE_TO_LEFT - Enum-Konstante in Enum-Klasse opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: The current token should be attached to the string on the left side.
MERGE_TO_RIGHT - Enum-Konstante in Enum-Klasse opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: The current token should be attached to the start token on the right side.
mergeInto(FMeasure) - Methode in Klasse opennlp.tools.util.eval.FMeasure: Merge results into metric.
mergeReportIntoManifest(Map<String, String>, Map<String, String>, String) - Statische Methode in Klasse opennlp.tools.parser.chunking.Parser
META_LABEL_FINAL - Statische Variable in Klasse opennlp.tools.formats.ad.ADSentenceStream.Sentence
method - Variable in Klasse opennlp.tools.stemmer.snowball.Among
MGRS - Enum-Konstante in Enum-Klasse opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
MIN_STEP_SIZE - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer
minimize(Function) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer: Finds the parameters that minimize the objective function.
misclassified(ChunkSample, ChunkSample) - Methode in Klasse opennlp.tools.cmdline.chunker.ChunkEvaluationErrorListener
misclassified(DocumentSample, DocumentSample) - Methode in Klasse opennlp.tools.cmdline.doccat.DoccatEvaluationErrorListener
misclassified(DocumentSample, DocumentSample) - Methode in Klasse opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener
misclassified(LanguageSample, LanguageSample) - Methode in Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluationErrorListener
misclassified(LanguageSample, LanguageSample) - Methode in Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener
misclassified(LemmaSample, LemmaSample) - Methode in Klasse opennlp.tools.cmdline.lemmatizer.LemmaEvaluationErrorListener
misclassified(LemmaSample, LemmaSample) - Methode in Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener
misclassified(NameSample, NameSample) - Methode in Klasse opennlp.tools.cmdline.namefind.NameEvaluationErrorListener
misclassified(NameSample, NameSample) - Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
misclassified(POSSample, POSSample) - Methode in Klasse opennlp.tools.cmdline.postag.POSEvaluationErrorListener
misclassified(POSSample, POSSample) - Methode in Klasse opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
misclassified(SentenceSample, SentenceSample) - Methode in Klasse opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener
misclassified(TokenSample, TokenSample) - Methode in Klasse opennlp.tools.cmdline.tokenizer.DetokenEvaluationErrorListener
misclassified(TokenSample, TokenSample) - Methode in Klasse opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener
misclassified(T, T) - Methode in Schnittstelle opennlp.tools.util.eval.EvaluationMonitor
ModelParameterChunker - Klasse in opennlp.tools.ml.model: A helper class that handles Strings with more than 64k (65535 bytes) in length.
ModelType - Enum-Klasse in opennlp.tools.util.model: Enumeration of supported model types.
ModelUtil - Klasse in opennlp.tools.util.model: Utility class for handling of models.
MosesSentenceSampleStream - Klasse in opennlp.tools.formats.moses
MosesSentenceSampleStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.formats.moses.MosesSentenceSampleStream: Initializes a MosesSentenceSampleStream.
MosesSentenceSampleStreamFactory - Klasse in opennlp.tools.formats.moses: Factory producing OpenNLP MosesSentenceSampleStream objects.
MOVE_BOTH - Enum-Konstante in Enum-Klasse opennlp.tools.tokenize.DetokenizationDictionary.Operation: Attaches the token to the token on the left and right sides.
MOVE_LEFT - Enum-Konstante in Enum-Klasse opennlp.tools.tokenize.DetokenizationDictionary.Operation: Attaches the token to the token on the left side.
MOVE_RIGHT - Enum-Konstante in Enum-Klasse opennlp.tools.tokenize.DetokenizationDictionary.Operation: Attaches the token to the token on the right side.
Muc6NameSampleStreamFactory - Klasse in opennlp.tools.formats.muc
MucNameContentHandler - Klasse in opennlp.tools.formats.muc
MucNameContentHandler(Tokenizer, List<NameSample>) - Konstruktor für Klasse opennlp.tools.formats.muc.MucNameContentHandler: Initializes a MucNameContentHandler.
MucNameSampleStream - Klasse in opennlp.tools.formats.muc
MutableContext - Klasse in opennlp.tools.ml.model: An extension of Context used to store parameters or expected values associated with this context which can be updated or assigned.
MutableContext(int[], double[]) - Konstruktor für Klasse opennlp.tools.ml.model.MutableContext: Creates a new parameters object with the specified parameters associated with the specified outcome pattern.
MutableInt - Klasse in opennlp.tools.util: This is a non-thread safe mutable int.
MutableInt(int) - Konstruktor für Klasse opennlp.tools.util.MutableInt
MutableTagDictionary - Schnittstelle in opennlp.tools.postag: Interface that allows TagDictionary entries to be added and removed.

N

NAIVE_BAYES_VALUE - Statische Variable in Klasse opennlp.tools.ml.naivebayes.NaiveBayesTrainer
NaiveBayes - Enum-Konstante in Enum-Klasse opennlp.tools.ml.model.AbstractModel.ModelType
NaiveBayesEvalParameters - Klasse in opennlp.tools.ml.naivebayes: Specialized parameters for the evaluation of a naive bayes classifier
NaiveBayesEvalParameters(Context[], int, double[], long) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.NaiveBayesEvalParameters
NaiveBayesModel - Klasse in opennlp.tools.ml.naivebayes: A MaxentModel implementation of the multinomial Naive Bayes classifier model.
NaiveBayesModel(Context[], String[], String[]) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.NaiveBayesModel: Initializes a NaiveBayesModel.
NaiveBayesModelReader - Klasse in opennlp.tools.ml.naivebayes: The base class for readers of models.
NaiveBayesModelReader(File) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.NaiveBayesModelReader: Initializes a NaiveBayesModelReader via a File.
NaiveBayesModelReader(DataReader) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.NaiveBayesModelReader: Initializes a NaiveBayesModelReader via a DataReader.
NaiveBayesModelWriter - Klasse in opennlp.tools.ml.naivebayes: The base class for NaiveBayesModel writers.
NaiveBayesModelWriter(AbstractModel) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.NaiveBayesModelWriter: Initializes a NaiveBayesModelWriter for a NaiveBayes model.
NaiveBayesTrainer - Klasse in opennlp.tools.ml.naivebayes: Trains models using the combination of EM algorithm and Naive Bayes classifier which is described in:
NaiveBayesTrainer() - Konstruktor für Klasse opennlp.tools.ml.naivebayes.NaiveBayesTrainer: Instantiates a NaiveBayesTrainer with default training parameters.
NaiveBayesTrainer(TrainingParameters) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.NaiveBayesTrainer: Instantiates a NaiveBayesTrainer with specific TrainingParameters.
name - Variable in Klasse opennlp.tools.ml.model.ComparablePredicate
NAME_FINDER - Enum-Konstante in Enum-Klasse opennlp.tools.util.DownloadUtil.ModelType
NameContextGenerator - Schnittstelle in opennlp.tools.namefind: Interface for generating the context for a name finder by specifying a set of feature generators.
NameEvaluationErrorListener - Klasse in opennlp.tools.cmdline.namefind: A default implementation of EvaluationMonitor that prints to an output stream.
NameEvaluationErrorListener() - Konstruktor für Klasse opennlp.tools.cmdline.namefind.NameEvaluationErrorListener: Creates a listener that will print to the configured logger.
NameEvaluationErrorListener(OutputStream) - Konstruktor für Klasse opennlp.tools.cmdline.namefind.NameEvaluationErrorListener: Creates a listener that will print to a given OutputStream.
NameFinderCensus90NameStream - Klasse in opennlp.tools.formats: This class helps to read the US Census data from the files to build a StringList for each dictionary entry in the name-finder dictionary.
NameFinderCensus90NameStream(InputStreamFactory, Charset) - Konstruktor für Klasse opennlp.tools.formats.NameFinderCensus90NameStream: Initializes a NameFinderCensus90NameStream via an InputStreamFactory and a Charset.
NameFinderCensus90NameStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.formats.NameFinderCensus90NameStream: Initializes a NameFinderCensus90NameStream via ObjectStream<String>.
NameFinderEventStream - Klasse in opennlp.tools.namefind: Class for creating an event stream out of data files for training an TokenNameFinder.
NameFinderEventStream(ObjectStream<NameSample>, String, NameContextGenerator, SequenceCodec<String>) - Konstruktor für Klasse opennlp.tools.namefind.NameFinderEventStream: Initializes a NameFinderEventStream using the specified dataStream and NameContextGenerator.
NameFinderME - Klasse in opennlp.tools.namefind: A maximum-entropy-based name finder implementation.
NameFinderME(TokenNameFinderModel) - Konstruktor für Klasse opennlp.tools.namefind.NameFinderME: Initializes a NameFinderME with a TokenNameFinderModel.
NameFinderSequenceValidator - Klasse in opennlp.tools.namefind: The default name finder SequenceValidator implementation.
NameFinderSequenceValidator() - Konstruktor für Klasse opennlp.tools.namefind.NameFinderSequenceValidator
NameSample - Klasse in opennlp.tools.namefind: Encapsulates names for a single unit of text.
NameSample(String[], Span[], boolean) - Konstruktor für Klasse opennlp.tools.namefind.NameSample: Initializes a NameSample instance with given parameters.
NameSample(String[], Span[], String[][], boolean) - Konstruktor für Klasse opennlp.tools.namefind.NameSample: Initializes a NameSample instance with given parameters.
NameSample(String, String[], Span[], String[][], boolean) - Konstruktor für Klasse opennlp.tools.namefind.NameSample: Initializes a NameSample instance with given parameters.
NameSampleCountersStream - Klasse in opennlp.tools.cmdline.namefind: Counts tokens, sentences and names by type.
NameSampleDataStream - Klasse in opennlp.tools.namefind: The NameSampleDataStream class converts tagged strings provided by a DataStream to NameSample objects.
NameSampleDataStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.namefind.NameSampleDataStream: Initializes a NameSampleDataStream with given psi samples.
NameSampleDataStreamFactory - Klasse in opennlp.tools.formats: Factory producing OpenNLP NameSampleDataStreams.
NameSampleDataStreamFactory.Parameters - Schnittstelle in opennlp.tools.formats
NameSampleSequenceStream - Klasse in opennlp.tools.namefind: A SequenceStream implementation encapsulating samples.
NameSampleSequenceStream(ObjectStream<NameSample>) - Konstruktor für Klasse opennlp.tools.namefind.NameSampleSequenceStream: Initializes a NameSampleSequenceStream with given psi samples.
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator) - Konstruktor für Klasse opennlp.tools.namefind.NameSampleSequenceStream: Initializes a NameSampleSequenceStream with given psi samples and an feature generator.
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator, boolean) - Konstruktor für Klasse opennlp.tools.namefind.NameSampleSequenceStream: Initializes a NameSampleSequenceStream with given psi samples and an feature generator.
NameSampleSequenceStream(ObjectStream<NameSample>, NameContextGenerator, boolean, SequenceCodec<String>) - Konstruktor für Klasse opennlp.tools.namefind.NameSampleSequenceStream: Initializes a NameSampleSequenceStream with given psi samples and an feature generator.
NameSampleSequenceStream(ObjectStream<NameSample>, AdaptiveFeatureGenerator) - Konstruktor für Klasse opennlp.tools.namefind.NameSampleSequenceStream: Initializes a NameSampleSequenceStream with given psi samples and an feature generator.
NameSampleSequenceStream(ObjectStream<NameSample>, AdaptiveFeatureGenerator, boolean) - Konstruktor für Klasse opennlp.tools.namefind.NameSampleSequenceStream: Initializes a NameSampleSequenceStream with given psi samples and an feature generator.
NameSampleTypeFilter - Klasse in opennlp.tools.namefind: A stream which removes name samples which do not have a certain type.
NameSampleTypeFilter(String[], ObjectStream<NameSample>) - Konstruktor für Klasse opennlp.tools.namefind.NameSampleTypeFilter: Initializes a NameSampleTypeFilter.
NameSampleTypeFilter(Set<String>, ObjectStream<NameSample>) - Konstruktor für Klasse opennlp.tools.namefind.NameSampleTypeFilter: Initializes a NameSampleTypeFilter.
NameToSentenceSampleStream - Klasse in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
NameToSentenceSampleStream(Detokenizer, ObjectStream<NameSample>, int) - Konstruktor für Klasse opennlp.tools.formats.convert.NameToSentenceSampleStream: Initializes a NameToSentenceSampleStream.
NameToSentenceSampleStreamFactory - Klasse in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
NameToTokenSampleStream - Klasse in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
NameToTokenSampleStream(Detokenizer, ObjectStream<NameSample>) - Konstruktor für Klasse opennlp.tools.formats.convert.NameToTokenSampleStream: Initializes a NameToTokenSampleStream.
NameToTokenSampleStreamFactory - Klasse in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
NegLogLikelihood - Klasse in opennlp.tools.ml.maxent.quasinewton: Evaluate negative log-likelihood and its gradient from DataIndexer.
NegLogLikelihood(DataIndexer) - Konstruktor für Klasse opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood
NewlineSentenceDetector - Klasse in opennlp.tools.sentdetect: The Newline SentenceDetector assumes that sentences are line delimited and recognizes one sentence per non-empty line.
NewlineSentenceDetector() - Konstruktor für Klasse opennlp.tools.sentdetect.NewlineSentenceDetector
next() - Methode in Klasse opennlp.tools.tokenize.lang.en.TokenSampleStream
next() - Methode in Klasse opennlp.tools.util.eval.CrossValidationPartitioner: Retrieves the next training and test partitions.
next() - Methode in Klasse opennlp.tools.util.ReverseListIterator
NEXT_PREFIX - Statische Variable in Klasse opennlp.tools.util.featuregen.WindowFeatureGenerator
nextIteration(int) - Methode in Klasse opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
nextToken() - Methode in Schnittstelle opennlp.tools.ml.maxent.DataStream: Returns the next slice of data held in this DataStream.
NGramCharModel - Klasse in opennlp.tools.ngram: The NGramCharModel can be used to create character ngrams.
NGramCharModel() - Konstruktor für Klasse opennlp.tools.ngram.NGramCharModel: Initializes an empty instance.
NGramFeatureGenerator - Klasse in opennlp.tools.doccat: Generates ngram features for a document.
NGramFeatureGenerator() - Konstruktor für Klasse opennlp.tools.doccat.NGramFeatureGenerator: Instantiates an NGramFeatureGenerator instance with a Bi grams config.
NGramFeatureGenerator(int, int) - Konstruktor für Klasse opennlp.tools.doccat.NGramFeatureGenerator: Instantiates an NGramFeatureGenerator instance with configurable ngram parameters.
NGramGenerator - Klasse in opennlp.tools.ngram: Generates an nGram, via an optional separator, and returns the grams as a list of strings
NGramGenerator() - Konstruktor für Klasse opennlp.tools.ngram.NGramGenerator
NGramLanguageModel - Klasse in opennlp.tools.languagemodel: A LanguageModel based on a NGramModel using Stupid Backoff to get the probabilities of the ngrams.
NGramLanguageModel() - Konstruktor für Klasse opennlp.tools.languagemodel.NGramLanguageModel: Initializes an NGramLanguageModel with NGramLanguageModel.DEFAULT_N.
NGramLanguageModel(int) - Konstruktor für Klasse opennlp.tools.languagemodel.NGramLanguageModel: Initializes an NGramLanguageModel with the given n for the ngram size.
NGramLanguageModel(InputStream) - Konstruktor für Klasse opennlp.tools.languagemodel.NGramLanguageModel: Initializes a NGramLanguageModel instance via a valid InputStream.
NGramLanguageModel(InputStream, int) - Konstruktor für Klasse opennlp.tools.languagemodel.NGramLanguageModel: Initializes a NGramLanguageModel instance via a valid InputStream.
NGramLanguageModelTool - Klasse in opennlp.tools.cmdline.languagemodel: Command line tool for NGramLanguageModel.
NGramLanguageModelTool() - Konstruktor für Klasse opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool
NGramModel - Klasse in opennlp.tools.ngram: The NGramModel can be used to crate ngrams and character ngrams.
NGramModel() - Konstruktor für Klasse opennlp.tools.ngram.NGramModel: Instantiates an empty NGramModel instance.
NGramModel(InputStream) - Konstruktor für Klasse opennlp.tools.ngram.NGramModel: Instantiates a NGramModel via an InputStream reference.
NGramUtils - Klasse in opennlp.tools.ngram: Utility class for ngrams.
NGramUtils() - Konstruktor für Klasse opennlp.tools.ngram.NGramUtils
nicePrint() - Methode in Klasse opennlp.tools.chunker.ChunkSample: Creates a nice to read string for the phrases formatted as following:
[NP Rockwell_NNP ] [VP said_VBD ] [NP the_DT agreement_NN ] [VP calls_VBZ ] [SBAR for_IN ] [NP it_PRP ] [VP to_TO supply_VB ] [NP 200_CD additional_JJ so-called_JJ shipsets_NNS ] [PP for_IN ] [NP the_DT planes_NNS ] ._.
NKJPSegmentationDocument - Klasse in opennlp.tools.formats.nkjp
NKJPSegmentationDocument.Pointer - Klasse in opennlp.tools.formats.nkjp
NKJPSentenceSampleStream - Klasse in opennlp.tools.formats.nkjp
NKJPSentenceSampleStreamFactory - Klasse in opennlp.tools.formats.nkjp
NKJPTextDocument - Klasse in opennlp.tools.formats.nkjp: The National corpus of Polish (NKJP) format.
NLD - Enum-Konstante in Enum-Klasse opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE
NO_OPERATION - Enum-Konstante in Enum-Klasse opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: Do not perform a merge operation for this token, but is possible that another token can be attached to the left or right side of this one.
NO_SPLIT - Statische Variable in Klasse opennlp.tools.sentdetect.SentenceDetectorME: Constant indicates no sentence split.
NO_SPLIT - Statische Variable in Klasse opennlp.tools.tokenize.TokenizerME: Constant indicates no token split.
Node() - Konstruktor für Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
NON_ATTACH - Statische Variable in Klasse opennlp.tools.parser.treeinsert.Parser: Outcome used when a node should not be attached to another node.
normalize(CharSequence) - Methode in Klasse opennlp.tools.util.normalizer.AggregateCharSequenceNormalizer
normalize(CharSequence) - Methode in Schnittstelle opennlp.tools.util.normalizer.CharSequenceNormalizer: Normalizes a sequence of characters.
normalize(CharSequence) - Methode in Klasse opennlp.tools.util.normalizer.EmojiCharSequenceNormalizer
normalize(CharSequence) - Methode in Klasse opennlp.tools.util.normalizer.NumberCharSequenceNormalizer
normalize(CharSequence) - Methode in Klasse opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer
normalize(CharSequence) - Methode in Klasse opennlp.tools.util.normalizer.TwitterCharSequenceNormalizer
normalize(CharSequence) - Methode in Klasse opennlp.tools.util.normalizer.UrlCharSequenceNormalizer
NORWEGIAN - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
norwegianStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
norwegianStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.norwegianStemmer
NUM_ITERATIONS_DEFAULT - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer
NumberCharSequenceNormalizer - Klasse in opennlp.tools.util.normalizer: A NumberCharSequenceNormalizer implementation that normalizes text in terms of numbers.
NumberCharSequenceNormalizer() - Konstruktor für Klasse opennlp.tools.util.normalizer.NumberCharSequenceNormalizer
numberOfGrams() - Methode in Klasse opennlp.tools.ngram.NGramCharModel: Retrieves the total count of all Ngrams.
numberOfGrams() - Methode in Klasse opennlp.tools.ngram.NGramModel: Retrieves the total count of all Ngrams.

O

ObjectDataReader - Klasse in opennlp.tools.ml.model: A DataReader implementation based on ObjectInputStream.
ObjectDataReader(ObjectInputStream) - Konstruktor für Klasse opennlp.tools.ml.model.ObjectDataReader: Instantiates an ObjectDataReader.
ObjectStream<T> - Schnittstelle in opennlp.tools.util: Reads objects from a stream.
ObjectStreamUtils - Klasse in opennlp.tools.util
ObjectStreamUtils() - Konstruktor für Klasse opennlp.tools.util.ObjectStreamUtils
OnePassDataIndexer - Klasse in opennlp.tools.ml.model: A DataIndexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates.
OnePassDataIndexer() - Konstruktor für Klasse opennlp.tools.ml.model.OnePassDataIndexer
OnePassRealValueDataIndexer - Klasse in opennlp.tools.ml.model: A DataIndexer for maxent model data which handles cutoffs for uncommon contextual predicates and provides a unique integer index for each of the predicates and maintains event values.
OnePassRealValueDataIndexer() - Konstruktor für Klasse opennlp.tools.ml.model.OnePassRealValueDataIndexer
OntoNotesFormatParameters - Schnittstelle in opennlp.tools.formats.ontonotes
OntoNotesNameSampleStream - Klasse in opennlp.tools.formats.ontonotes: Name Sample Stream parser for the OntoNotes 4.0 corpus.
OntoNotesNameSampleStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.formats.ontonotes.OntoNotesNameSampleStream: Initializes a OntoNotesNameSampleStream.
OntoNotesNameSampleStreamFactory - Klasse in opennlp.tools.formats.ontonotes
OntoNotesNameSampleStreamFactory() - Konstruktor für Klasse opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory
OntoNotesParseSampleStream - Klasse in opennlp.tools.formats.ontonotes
OntoNotesParseSampleStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.formats.ontonotes.OntoNotesParseSampleStream: Initializes a OntoNotesParseSampleStream.
OntoNotesParseSampleStreamFactory - Klasse in opennlp.tools.formats.ontonotes
OntoNotesPOSSampleStreamFactory - Klasse in opennlp.tools.formats.ontonotes
openFeatureGeneratorBytes(File) - Statische Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
opennlp.tools.chunker - Package opennlp.tools.chunker: Package related to finding non-recursive syntactic annotation such as noun phrase chunks.
opennlp.tools.cmdline.chunker - Package opennlp.tools.cmdline.chunker
opennlp.tools.cmdline.dictionary - Package opennlp.tools.cmdline.dictionary
opennlp.tools.cmdline.doccat - Package opennlp.tools.cmdline.doccat
opennlp.tools.cmdline.entitylinker - Package opennlp.tools.cmdline.entitylinker
opennlp.tools.cmdline.langdetect - Package opennlp.tools.cmdline.langdetect
opennlp.tools.cmdline.languagemodel - Package opennlp.tools.cmdline.languagemodel
opennlp.tools.cmdline.lemmatizer - Package opennlp.tools.cmdline.lemmatizer: Classes giving access to the opennlp.tools.lemmatizer functionalities.
opennlp.tools.cmdline.namefind - Package opennlp.tools.cmdline.namefind
opennlp.tools.cmdline.params - Package opennlp.tools.cmdline.params
opennlp.tools.cmdline.parser - Package opennlp.tools.cmdline.parser
opennlp.tools.cmdline.postag - Package opennlp.tools.cmdline.postag
opennlp.tools.cmdline.sentdetect - Package opennlp.tools.cmdline.sentdetect
opennlp.tools.cmdline.tokenizer - Package opennlp.tools.cmdline.tokenizer
opennlp.tools.commons - Package opennlp.tools.commons: Package related to common interfaces used in different contexts.
opennlp.tools.dictionary - Package opennlp.tools.dictionary: Package related to parsing and storing dictionaries.
opennlp.tools.dictionary.serializer - Package opennlp.tools.dictionary.serializer
opennlp.tools.doccat - Package opennlp.tools.doccat: Package for classifying a document into a category.
opennlp.tools.entitylinker - Package opennlp.tools.entitylinker: Package related to linking entities to external data sources.
opennlp.tools.formats - Package opennlp.tools.formats: Experimental package related to converting various corpora to OpenNLP Format.
opennlp.tools.formats.ad - Package opennlp.tools.formats.ad: Experimental package related to the Arvores Deitadas corpus format.
opennlp.tools.formats.brat - Package opennlp.tools.formats.brat: Experimental package related to the corpus format used by the "brat rapid annotation tool" (brat).
opennlp.tools.formats.conllu - Package opennlp.tools.formats.conllu: Experimental package related to the CoNNL-U format.
opennlp.tools.formats.convert - Package opennlp.tools.formats.convert
opennlp.tools.formats.frenchtreebank - Package opennlp.tools.formats.frenchtreebank: Experimental package related to the French Treebank format.
opennlp.tools.formats.irishsentencebank - Package opennlp.tools.formats.irishsentencebank: Experimental package related to the Irish Sentence Bank format.
opennlp.tools.formats.leipzig - Package opennlp.tools.formats.leipzig: Experimental package related to the Leipzig corpus format.
opennlp.tools.formats.letsmt - Package opennlp.tools.formats.letsmt: Experimental package related to the letsmt corpus format.
opennlp.tools.formats.masc - Package opennlp.tools.formats.masc: Experimental package related to the MASC corpus format.
opennlp.tools.formats.moses - Package opennlp.tools.formats.moses
opennlp.tools.formats.muc - Package opennlp.tools.formats.muc: Experimental package related to the MUC corpus format.
opennlp.tools.formats.nkjp - Package opennlp.tools.formats.nkjp: Experimental package related to the National corpus of Polish NKJP format.
opennlp.tools.formats.ontonotes - Package opennlp.tools.formats.ontonotes: Experimental package related to the OntoNotes 4.0 format.
opennlp.tools.langdetect - Package opennlp.tools.langdetect: Package related to predicting languages from samples of text.
opennlp.tools.languagemodel - Package opennlp.tools.languagemodel: Package related to language models
opennlp.tools.lemmatizer - Package opennlp.tools.lemmatizer: Package related to the lemmatizer functionality.
opennlp.tools.log - Package opennlp.tools.log: Package contains a PrintStream adapter for internal use only.
opennlp.tools.ml - Package opennlp.tools.ml: Package related to Machine Learning (ML) features of OpenNLP, the related ML models, and trainers.
opennlp.tools.ml.maxent - Package opennlp.tools.ml.maxent: Package related to ML by means of the Maximum Entropy (ME) algorithm.
opennlp.tools.ml.maxent.io - Package opennlp.tools.ml.maxent.io: Package related to the I/O functionality of the maxent package including reading and writing models in several formats.
opennlp.tools.ml.maxent.quasinewton - Package opennlp.tools.ml.maxent.quasinewton: Package related to ML by means of the Quasi Newton (QN) algorithm.
opennlp.tools.ml.model - Package opennlp.tools.ml.model: Package related to ML models and feature selection techniques.
opennlp.tools.ml.naivebayes - Package opennlp.tools.ml.naivebayes: Package related to ML by means of the Naive Bayes algorithm.
opennlp.tools.ml.perceptron - Package opennlp.tools.ml.perceptron: Package related to ML by means of the perceptron algorithm.
opennlp.tools.namefind - Package opennlp.tools.namefind: Package related to finding proper names and numeric amounts.
opennlp.tools.ngram - Package opennlp.tools.ngram: Package related to computing and storing n-gram frequencies.
opennlp.tools.parser - Package opennlp.tools.parser: Package containing common code for performing full syntactic parsing.
opennlp.tools.parser.chunking - Package opennlp.tools.parser.chunking: Package containing code for performing full syntactic parsing using shift/reduce-style decisions.
opennlp.tools.parser.lang.en - Package opennlp.tools.parser.lang.en
opennlp.tools.parser.lang.es - Package opennlp.tools.parser.lang.es
opennlp.tools.parser.treeinsert - Package opennlp.tools.parser.treeinsert: Package containing experimental code for performing full syntactic parsing using attachment decisions.
opennlp.tools.postag - Package opennlp.tools.postag: Package related to part-of-speech tagging.
opennlp.tools.sentdetect - Package opennlp.tools.sentdetect: Package related to identifying sentence boundaries.
opennlp.tools.sentdetect.lang - Package opennlp.tools.sentdetect.lang
opennlp.tools.sentdetect.lang.th - Package opennlp.tools.sentdetect.lang.th: Package related to the processing of Thai data.
opennlp.tools.stemmer - Package opennlp.tools.stemmer
opennlp.tools.stemmer.snowball - Package opennlp.tools.stemmer.snowball
opennlp.tools.tokenize - Package opennlp.tools.tokenize: Contains classes related to finding token or words in a string.
opennlp.tools.tokenize.lang - Package opennlp.tools.tokenize.lang
opennlp.tools.tokenize.lang.en - Package opennlp.tools.tokenize.lang.en
opennlp.tools.util - Package opennlp.tools.util: Package containing utility data structures and algorithms used by multiple other packages.
opennlp.tools.util.eval - Package opennlp.tools.util.eval
opennlp.tools.util.ext - Package opennlp.tools.util.ext: Package containing extension loading code.
opennlp.tools.util.featuregen - Package opennlp.tools.util.featuregen: This package contains classes for generating sequence features.
opennlp.tools.util.java - Package opennlp.tools.util.java
opennlp.tools.util.jvm - Package opennlp.tools.util.jvm
opennlp.tools.util.model - Package opennlp.tools.util.model
opennlp.tools.util.normalizer - Package opennlp.tools.util.normalizer
opennlp.tools.util.wordvector - Package opennlp.tools.util.wordvector
OTHER - Statische Variable in Klasse opennlp.tools.formats.ad.ADChunkSampleStream
OTHER - Statische Variable in Klasse opennlp.tools.namefind.BilouCodec
OTHER - Statische Variable in Klasse opennlp.tools.namefind.BioCodec
OTHER - Statische Variable in Klasse opennlp.tools.namefind.NameFinderME
OTHER - Statische Variable in Klasse opennlp.tools.parser.AbstractBottomUpParser: Outcome for token which is not contained in a basal constituent.
outcome - Variable in Klasse opennlp.tools.ml.model.ComparableEvent
OutcomePriorFeatureGenerator - Klasse in opennlp.tools.util.featuregen: The definition feature maps the underlying distribution of outcomes.
OutcomePriorFeatureGenerator() - Konstruktor für Klasse opennlp.tools.util.featuregen.OutcomePriorFeatureGenerator
outcomes - Variable in Klasse opennlp.tools.ml.model.ComparablePredicate

P

ParagraphStream - Klasse in opennlp.tools.util: A FilterObjectStream which merges text lines into paragraphs.
ParagraphStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.util.ParagraphStream: Initializes an FilterObjectStream.
ParallelNegLogLikelihood - Klasse in opennlp.tools.ml.maxent.quasinewton: Evaluate negative log-likelihood and its gradient in parallel
ParallelNegLogLikelihood(DataIndexer, int) - Konstruktor für Klasse opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood
params - Variable in Klasse opennlp.tools.ml.model.ComparablePredicate
parse(File) - Statische Methode in Klasse opennlp.tools.formats.brat.AnnotationConfiguration
parse(InputStream) - Statische Methode in Klasse opennlp.tools.formats.brat.AnnotationConfiguration
parse(InputStream) - Statische Methode in Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankDocument: Parses the data provided via an InputStream into a IrishSentenceBankDocument.
parse(InputStream) - Statische Methode in Klasse opennlp.tools.formats.nkjp.NKJPSegmentationDocument
parse(InputStream) - Statische Methode in Klasse opennlp.tools.formats.nkjp.NKJPTextDocument
parse(InputStream) - Statische Methode in Klasse opennlp.tools.util.wordvector.Glove: Parses a glove vector plain text file.
parse(Reader, SgmlParser.ContentHandler) - Methode in Klasse opennlp.tools.formats.muc.SgmlParser
parse(String) - Statische Methode in Enum-Klasse opennlp.tools.parser.ParserType
parse(String) - Statische Methode in Klasse opennlp.tools.postag.POSSample: Parses a sentenceString.
parse(String) - Statische Methode in Enum-Klasse opennlp.tools.tokenize.DetokenizationDictionary.Operation
parse(String) - Statische Methode in Klasse opennlp.tools.util.Version: Return a new Version initialized to the value represented by the specified String
parse(String, boolean) - Statische Methode in Klasse opennlp.tools.namefind.NameSample: Parses given input into a NameSample.
parse(String, int, boolean, boolean) - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser: Parses a sentence string into a ADSentenceStream.Sentence.
parse(String, String) - Statische Methode in Klasse opennlp.tools.tokenize.TokenSample: Parses a string sample.
parse(String, String, boolean) - Statische Methode in Klasse opennlp.tools.namefind.NameSample: Parses given input into a NameSample.
parse(BratDocument) - Methode in Klasse opennlp.tools.formats.brat.BratDocumentParser
parse(Parse) - Methode in Klasse opennlp.tools.parser.AbstractBottomUpParser
parse(Parse) - Methode in Schnittstelle opennlp.tools.parser.Parser: Returns a Parse for the specified Parse of tokens.
parse(Parse, int) - Methode in Klasse opennlp.tools.parser.AbstractBottomUpParser
parse(Parse, int) - Methode in Schnittstelle opennlp.tools.parser.Parser: Returns the specified number of parses or fewer for the specified tokens.
Parse - Klasse in opennlp.tools.parser: Data structure for holding parse constituents.
Parse(String, Span, String, double, int) - Konstruktor für Klasse opennlp.tools.parser.Parse: Initializes a node for this specified text and span of the specified type with probability p and the head index.
Parse(String, Span, String, double, Parse) - Konstruktor für Klasse opennlp.tools.parser.Parse: Initializes a node for this specified text and span of the specified type with probability p and the head index.
parseContexts(String[]) - Statische Methode in Klasse opennlp.tools.ml.model.RealValueFileEventStream: Parses the specified contexts and re-populates context array with features and returns the values for these features.
parseDocument(String, InputStream, InputStream, InputStream, InputStream, InputStream) - Statische Methode in Klasse opennlp.tools.formats.masc.MascDocument: Initializes a MascDocument with all the stand-off annotations translated into the internal structure.
parseDocument(AnnotationConfiguration, String, InputStream, InputStream) - Statische Methode in Klasse opennlp.tools.formats.brat.BratDocument
parseLine(String, Parser, int) - Statische Methode in Klasse opennlp.tools.cmdline.parser.ParserTool
parseLine(String, Parser, Tokenizer, int) - Statische Methode in Klasse opennlp.tools.cmdline.parser.ParserTool
parseOneEntryPerLine(Reader) - Statische Methode in Klasse opennlp.tools.dictionary.Dictionary: Reads a Dictionary which has one entry per line.
parseParse(String) - Statische Methode in Klasse opennlp.tools.parser.Parse: Parses the specified tree-bank style parse string and return a Parse structure for that string.
parseParse(String, GapLabeler) - Statische Methode in Klasse opennlp.tools.parser.Parse: Parses the specified tree-bank style Parse string and return a Parse structure for that string.
Parser - Klasse in opennlp.tools.parser.chunking: A shift reduce style Parser implementation based on Adwait Ratnaparkhi's 1998 thesis.
Parser - Klasse in opennlp.tools.parser.treeinsert: A built-attach Parser implementation.
Parser - Schnittstelle in opennlp.tools.parser: Defines common methods for full-syntactic parsers.
Parser(ParserModel) - Konstruktor für Klasse opennlp.tools.parser.chunking.Parser: Instantiates a Parser via a given model.
Parser(ParserModel) - Konstruktor für Klasse opennlp.tools.parser.treeinsert.Parser: Instantiates a Parser via a given model.
Parser(ParserModel, int, double) - Konstruktor für Klasse opennlp.tools.parser.chunking.Parser: Instantiates a Parser via a given model and other configuration parameters.
Parser(ParserModel, int, double) - Konstruktor für Klasse opennlp.tools.parser.treeinsert.Parser: Instantiates a Parser via a given model and other configuration parameters.
PARSER - Enum-Konstante in Enum-Klasse opennlp.tools.util.DownloadUtil.ModelType
ParserChunkerFactory - Klasse in opennlp.tools.parser
ParserChunkerFactory() - Konstruktor für Klasse opennlp.tools.parser.ParserChunkerFactory
ParserChunkerSequenceValidator - Klasse in opennlp.tools.parser: The parser chunker SequenceValidator implementation.
ParserChunkerSequenceValidator(String[]) - Konstruktor für Klasse opennlp.tools.parser.ParserChunkerSequenceValidator
ParserConverterTool - Klasse in opennlp.tools.cmdline.parser: Tool to convert multiple data formats into native OpenNLP parser format.
ParserConverterTool() - Konstruktor für Klasse opennlp.tools.cmdline.parser.ParserConverterTool
ParserCrossValidator - Klasse in opennlp.tools.parser: Cross validator for a Parser.
ParserCrossValidator(String, TrainingParameters, HeadRules, ParserType, ParserEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.parser.ParserCrossValidator: Initializes a ParserCrossValidator instance via given parameters.
ParserEvaluationMonitor - Schnittstelle in opennlp.tools.parser: A marker interface for evaluating parsers.
ParserEvaluator - Klasse in opennlp.tools.parser: This implementation of Evaluator<Parse> behaves like EVALB with no exceptions, e.g, without removing punctuation tags, or equality between ADVP and PRT, as in COLLINS convention.
ParserEvaluator(Parser, ParserEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.parser.ParserEvaluator: Initializes a ParserEvaluator instance with the given Parser.
ParserEvaluatorTool - Klasse in opennlp.tools.cmdline.parser: A default Parse-centric implementation of AbstractEvaluatorTool that prints to an output stream.
ParserEvaluatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.parser.ParserEvaluatorTool
ParserEventStream - Klasse in opennlp.tools.parser.chunking: Wrapper class for one of four shift-reduce parser event streams.
ParserEventStream - Klasse in opennlp.tools.parser.treeinsert: Wrapper class for one of four built-attach parser event streams.
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Konstruktor für Klasse opennlp.tools.parser.chunking.ParserEventStream: Instantiates a ParserEventStream based on the specified data stream of the type using head rules.
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Konstruktor für Klasse opennlp.tools.parser.treeinsert.ParserEventStream: Instantiates a ParserEventStream based on the specified data stream of the type using head rules.
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Konstruktor für Klasse opennlp.tools.parser.chunking.ParserEventStream: Instantiates a ParserEventStream based on the specified data stream of the type using head rules.
ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, Dictionary) - Konstruktor für Klasse opennlp.tools.parser.treeinsert.ParserEventStream: Instantiates a ParserEventStream based on the specified data stream of the type using head rules.
ParserEventTypeEnum - Enum-Klasse in opennlp.tools.parser: Enumeration of event types for a Parser.
ParserFactory - Klasse in opennlp.tools.parser
ParserModel - Klasse in opennlp.tools.parser: This is the default ParserModel implementation.
ParserModel(File) - Konstruktor für Klasse opennlp.tools.parser.ParserModel: Initializes a ParserModel instance via a valid File.
ParserModel(InputStream) - Konstruktor für Klasse opennlp.tools.parser.ParserModel: Initializes a ParserModel instance via a valid InputStream.
ParserModel(String, MaxentModel, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType) - Konstruktor für Klasse opennlp.tools.parser.ParserModel: Initializes a ParserModel instance via given parameters.
ParserModel(String, MaxentModel, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Konstruktor für Klasse opennlp.tools.parser.ParserModel: Initializes a ParserModel instance via given parameters.
ParserModel(String, MaxentModel, MaxentModel, POSModel, ChunkerModel, HeadRules, ParserType, Map<String, String>) - Konstruktor für Klasse opennlp.tools.parser.ParserModel: Initializes a ParserModel instance via given parameters.
ParserModel(URL) - Konstruktor für Klasse opennlp.tools.parser.ParserModel: Initializes a ParserModel instance via a valid URL.
ParserModel(Path) - Konstruktor für Klasse opennlp.tools.parser.ParserModel: Initializes a ParserModel instance via a valid Path.
ParserModelLoader - Klasse in opennlp.tools.cmdline.parser: Loads a ParserModel for the command line tools.
ParserModelLoader() - Konstruktor für Klasse opennlp.tools.cmdline.parser.ParserModelLoader
ParserTool - Klasse in opennlp.tools.cmdline.parser
ParserTool() - Konstruktor für Klasse opennlp.tools.cmdline.parser.ParserTool
ParserTrainerTool - Klasse in opennlp.tools.cmdline.parser
ParserTrainerTool() - Konstruktor für Klasse opennlp.tools.cmdline.parser.ParserTrainerTool
ParserType - Enum-Klasse in opennlp.tools.parser: Enumeration of supported Parser types.
ParseSampleStream - Klasse in opennlp.tools.parser
ParseSampleStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.parser.ParseSampleStream: Initializes a instance.
ParseSampleStreamFactory - Klasse in opennlp.tools.formats: Factory producing OpenNLP ParseSampleStreams.
ParseSampleStreamFactory.Parameters - Schnittstelle in opennlp.tools.formats
ParseToPOSSampleStream - Klasse in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
ParseToPOSSampleStream(ObjectStream<Parse>) - Konstruktor für Klasse opennlp.tools.formats.convert.ParseToPOSSampleStream: Initializes a ParseToPOSSampleStream.
ParseToPOSSampleStreamFactory - Klasse in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
ParseToSentenceSampleStreamFactory - Klasse in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
ParseToTokenSampleStreamFactory - Klasse in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
pathLengths - Statische Variable in Klasse opennlp.tools.util.featuregen.BrownTokenClasses
PENN - Enum-Konstante in Enum-Klasse opennlp.tools.postag.POSTagFormat
Perceptron - Enum-Konstante in Enum-Klasse opennlp.tools.ml.model.AbstractModel.ModelType
PERCEPTRON - Enum-Konstante in Enum-Klasse opennlp.tools.util.model.ModelType
PERCEPTRON_SEQUENCE - Enum-Konstante in Enum-Klasse opennlp.tools.util.model.ModelType
PERCEPTRON_SEQUENCE_VALUE - Statische Variable in Klasse opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer
PERCEPTRON_VALUE - Statische Variable in Klasse opennlp.tools.ml.perceptron.PerceptronTrainer
PerceptronModel - Klasse in opennlp.tools.ml.perceptron: A model implementation based one the perceptron algorithm.
PerceptronModel(Context[], String[], String[]) - Konstruktor für Klasse opennlp.tools.ml.perceptron.PerceptronModel: Initializes a PerceptronModel.
PerceptronModelReader - Klasse in opennlp.tools.ml.perceptron: The base class for readers of models.
PerceptronModelReader(File) - Konstruktor für Klasse opennlp.tools.ml.perceptron.PerceptronModelReader: Initializes a PerceptronModelReader via a File.
PerceptronModelReader(DataReader) - Konstruktor für Klasse opennlp.tools.ml.perceptron.PerceptronModelReader: Initializes a PerceptronModelReader via a DataReader.
PerceptronModelWriter - Klasse in opennlp.tools.ml.perceptron: The base class for PerceptronModel writers.
PerceptronModelWriter(AbstractModel) - Konstruktor für Klasse opennlp.tools.ml.perceptron.PerceptronModelWriter: Initializes a PerceptronModelWriter for a perceptron model.
PerceptronTrainer - Klasse in opennlp.tools.ml.perceptron: Trains models using the perceptron algorithm.
PerceptronTrainer() - Konstruktor für Klasse opennlp.tools.ml.perceptron.PerceptronTrainer: Instantiates a PerceptronTrainer with default training parameters.
PerceptronTrainer(TrainingParameters) - Konstruktor für Klasse opennlp.tools.ml.perceptron.PerceptronTrainer: Instantiates a PerceptronTrainer with specific TrainingParameters.
persist() - Methode in Klasse opennlp.tools.ml.AbstractMLModelWriter
persist() - Methode in Klasse opennlp.tools.ml.maxent.io.GISModelWriter: Writes the GIS model, using the AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)} methods implemented by extending classes.
persist() - Methode in Klasse opennlp.tools.ml.maxent.io.QNModelWriter: Writes the QN model, using the AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)} methods implemented by extending classes.
persist() - Methode in Klasse opennlp.tools.ml.model.AbstractModelWriter: Serializes the model using the AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)} methods implemented by extending classes.
persist() - Methode in Klasse opennlp.tools.ml.model.GenericModelWriter
persist() - Methode in Klasse opennlp.tools.ml.naivebayes.NaiveBayesModelWriter: Writes the perceptron model, using the AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)} methods implemented by extending classes.
persist() - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronModelWriter: Writes the perceptron model, using the AbstractModelWriter.writeUTF(String), AbstractModelWriter.writeDouble(double), or AbstractModelWriter.writeInt(int)} methods implemented by extending classes.
phrasesAsSpanList(String[], String[], String[]) - Statische Methode in Klasse opennlp.tools.chunker.ChunkSample: Create arrays of spans of phrases.
PlainTextByLineStream - Klasse in opennlp.tools.util: Reads a plain text file and returns each line as a String object.
PlainTextByLineStream(InputStreamFactory, String) - Konstruktor für Klasse opennlp.tools.util.PlainTextByLineStream: Initializes a PlainTextByLineStream.
PlainTextByLineStream(InputStreamFactory, Charset) - Konstruktor für Klasse opennlp.tools.util.PlainTextByLineStream: Initializes a PlainTextByLineStream.
PlainTextFileDataReader - Klasse in opennlp.tools.ml.model: A generic DataReader implementation for plain text files.
PlainTextFileDataReader(BufferedReader) - Konstruktor für Klasse opennlp.tools.ml.model.PlainTextFileDataReader: Initializes a PlainTextFileDataReader via a BufferedReader.
PlainTextFileDataReader(File) - Konstruktor für Klasse opennlp.tools.ml.model.PlainTextFileDataReader: Initializes a PlainTextFileDataReader via a File.
PlainTextFileDataReader(InputStream) - Konstruktor für Klasse opennlp.tools.ml.model.PlainTextFileDataReader: Initializes a PlainTextFileDataReader via a InputStream.
PlainTextNaiveBayesModelReader - Klasse in opennlp.tools.ml.naivebayes: A NaiveBayesModelReader that reads models from a plain text format.
PlainTextNaiveBayesModelReader(BufferedReader) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelReader: Instantiates PlainTextNaiveBayesModelReader via a BufferedReader containing the model contents.
PlainTextNaiveBayesModelReader(File) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelReader: Instantiates PlainTextNaiveBayesModelReader via a File and creates a reader for it.
PlainTextNaiveBayesModelWriter - Klasse in opennlp.tools.ml.naivebayes: A NaiveBayesModelWriter that writes models in a plain text format.
PlainTextNaiveBayesModelWriter(AbstractModel, BufferedWriter) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter: Instantiates PlainTextNaiveBayesModelWriter via an naive bayes model and a BufferedWriter.
PlainTextNaiveBayesModelWriter(AbstractModel, File) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter: Instantiates PlainTextNaiveBayesModelWriter via an naive bayes model and a File.
Pointer(String, String, int, int, boolean) - Konstruktor für Klasse opennlp.tools.formats.nkjp.NKJPSegmentationDocument.Pointer
populatePOSDictionary(ObjectStream<POSSample>, MutableTagDictionary, int) - Statische Methode in Klasse opennlp.tools.postag.POSTaggerME: Populates a POSDictionary from an ObjectStream of samples.
PORTER - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
porterStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
porterStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.porterStemmer
PorterStemmer - Klasse in opennlp.tools.stemmer: A Stemmer, implementing the Porter Stemming Algorithm
PorterStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.PorterStemmer
PORTUGUESE - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
PortugueseContractionUtility - Klasse in opennlp.tools.formats.ad: Utility class to handle Portuguese contractions.
PortugueseContractionUtility() - Konstruktor für Klasse opennlp.tools.formats.ad.PortugueseContractionUtility
portugueseStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
portugueseStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.portugueseStemmer
POS - Enum-Konstante in Enum-Klasse opennlp.tools.util.DownloadUtil.ModelType
POSContextGenerator - Schnittstelle in opennlp.tools.postag: Interface for a BeamSearchContextGenerator used in POS tagging.
POSDictionary - Klasse in opennlp.tools.postag: Provides a means of determining which tags are valid for a particular word based on a TagDictionary read from a file.
POSDictionary() - Konstruktor für Klasse opennlp.tools.postag.POSDictionary: Initializes an empty case sensitive POSDictionary.
POSDictionary(boolean) - Konstruktor für Klasse opennlp.tools.postag.POSDictionary: Initializes an empty POSDictionary.
POSDictionarySerializer() - Konstruktor für Klasse opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer
POSEvaluationErrorListener - Klasse in opennlp.tools.cmdline.postag: A default implementation of EvaluationMonitor that prints to an output stream.
POSEvaluationErrorListener() - Konstruktor für Klasse opennlp.tools.cmdline.postag.POSEvaluationErrorListener: Creates a listener that will print to the configured logger.
POSEvaluationErrorListener(OutputStream) - Konstruktor für Klasse opennlp.tools.cmdline.postag.POSEvaluationErrorListener: Creates a listener that will print to a given OutputStream.
POSEvaluator - Klasse in opennlp.tools.postag: The POSEvaluator measures the performance of the given POSTagger with the provided reference samples.
POSEvaluator(POSTagger, POSTaggerEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.postag.POSEvaluator: Initializes the current instance.
POSModel - Klasse in opennlp.tools.postag: The POSModel is the model used by a learnable POSTagger.
POSModel(File) - Konstruktor für Klasse opennlp.tools.postag.POSModel: Initializes a POSModel instance via a valid File.
POSModel(InputStream) - Konstruktor für Klasse opennlp.tools.postag.POSModel: Initializes a POSModel instance via a valid InputStream.
POSModel(String, MaxentModel, int, Map<String, String>, POSTaggerFactory) - Konstruktor für Klasse opennlp.tools.postag.POSModel: Initializes a POSModel instance via given parameters.
POSModel(String, MaxentModel, Map<String, String>, POSTaggerFactory) - Konstruktor für Klasse opennlp.tools.postag.POSModel: Initializes a POSModel instance via given parameters.
POSModel(String, SequenceClassificationModel, Map<String, String>, POSTaggerFactory) - Konstruktor für Klasse opennlp.tools.postag.POSModel: Initializes a POSModel instance via given parameters.
POSModel(URL) - Konstruktor für Klasse opennlp.tools.postag.POSModel: Initializes a POSModel instance via a valid URL.
POSModel(Path) - Konstruktor für Klasse opennlp.tools.postag.POSModel: Initializes a POSModel instance via a valid Path.
POSModelLoader - Klasse in opennlp.tools.cmdline.postag: Loads a POSModel for the command line tools.
POSModelLoader() - Konstruktor für Klasse opennlp.tools.cmdline.postag.POSModelLoader
POSModelSerializer - Klasse in opennlp.tools.util.model: An ArtifactSerializer implementation for models.
POSModelSerializer() - Konstruktor für Klasse opennlp.tools.util.model.POSModelSerializer
POSSample - Klasse in opennlp.tools.postag: Represents an pos-tagged sentence.
POSSample(String[], String[]) - Konstruktor für Klasse opennlp.tools.postag.POSSample: Initializes a POSSample instance.
POSSample(String[], String[], String[][]) - Konstruktor für Klasse opennlp.tools.postag.POSSample: Initializes a POSSample instance.
POSSample(List<String>, List<String>) - Konstruktor für Klasse opennlp.tools.postag.POSSample: Initializes a POSSample instance.
POSSample(List<String>, List<String>, String[][]) - Konstruktor für Klasse opennlp.tools.postag.POSSample: Initializes a POSSample instance.
POSSampleEventStream - Klasse in opennlp.tools.postag: Reads the samples from an Iterator and converts those samples into events which can be used by the maxent library for training.
POSSampleEventStream(ObjectStream<POSSample>) - Konstruktor für Klasse opennlp.tools.postag.POSSampleEventStream: Initializes the current instance with given samples and a DefaultPOSContextGenerator.
POSSampleEventStream(ObjectStream<POSSample>, POSContextGenerator) - Konstruktor für Klasse opennlp.tools.postag.POSSampleEventStream: Initializes the current instance with the given samples and a POSContextGenerator.
POSSampleSequenceStream - Klasse in opennlp.tools.postag: A SequenceStream implementation encapsulating samples.
POSSampleSequenceStream(ObjectStream<POSSample>) - Konstruktor für Klasse opennlp.tools.postag.POSSampleSequenceStream: Creates a POSSampleSequenceStream with given samples using a DefaultPOSContextGenerator.
POSSampleSequenceStream(ObjectStream<POSSample>, POSContextGenerator) - Konstruktor für Klasse opennlp.tools.postag.POSSampleSequenceStream: Creates a POSSampleSequenceStream with given samples using a POSContextGenerator.
PosSampleStream - Klasse in opennlp.tools.parser
PosSampleStream(ObjectStream<Parse>) - Konstruktor für Klasse opennlp.tools.parser.PosSampleStream: Initializes a instance.
POSTagFormat - Enum-Klasse in opennlp.tools.postag: Defines the format for part-of-speech tagging, i.e.
POSTagFormatMapper - Klasse in opennlp.tools.postag: A mapping implementation for converting between different POS tag formats.
POSTagFormatMapper.NoOp - Klasse in opennlp.tools.postag
POSTagger - Schnittstelle in opennlp.tools.postag: The interface for part of speech taggers.
POSTaggerConverterTool - Klasse in opennlp.tools.cmdline.postag: Tool to convert multiple data formats into native OpenNLP part of speech tagging training format.
POSTaggerConverterTool() - Konstruktor für Klasse opennlp.tools.cmdline.postag.POSTaggerConverterTool
POSTaggerCrossValidator - Klasse in opennlp.tools.postag
POSTaggerCrossValidator(String, TrainingParameters, File, byte[], Map<String, Object>, Integer, String, POSTagFormat, POSTaggerEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.postag.POSTaggerCrossValidator: Initializes a POSTaggerCrossValidator that builds a ngram dictionary dynamically.
POSTaggerCrossValidator(String, TrainingParameters, File, byte[], Map<String, Object>, Integer, String, POSTaggerEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.postag.POSTaggerCrossValidator: Initializes a POSTaggerCrossValidator that builds a ngram dictionary dynamically.
POSTaggerCrossValidator(String, TrainingParameters, POSTaggerFactory, POSTagFormat, POSTaggerEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.postag.POSTaggerCrossValidator: Creates a POSTaggerCrossValidator using the given POSTaggerFactory.
POSTaggerCrossValidator(String, TrainingParameters, POSTaggerFactory, POSTaggerEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.postag.POSTaggerCrossValidator: Creates a POSTaggerCrossValidator using the given POSTaggerFactory.
POSTaggerCrossValidatorTool - Klasse in opennlp.tools.cmdline.postag
POSTaggerCrossValidatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool
POSTaggerEvaluationMonitor - Schnittstelle in opennlp.tools.postag: A marker interface for evaluating pos taggers.
POSTaggerEvaluatorTool - Klasse in opennlp.tools.cmdline.postag: A default POSSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.
POSTaggerEvaluatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool
POSTaggerFactory - Klasse in opennlp.tools.postag: The factory that provides POSTagger default implementations and resources.
POSTaggerFactory() - Konstruktor für Klasse opennlp.tools.postag.POSTaggerFactory: Initializes a POSTaggerFactory that provides the default implementation of the resources.
POSTaggerFactory(byte[], Map<String, Object>, TagDictionary) - Konstruktor für Klasse opennlp.tools.postag.POSTaggerFactory: Initializes a POSTaggerFactory from a given set of the resources.
POSTaggerFactory.POSDictionarySerializer - Klasse in opennlp.tools.postag
PosTaggerFeatureGenerator - Klasse in opennlp.tools.util.featuregen
PosTaggerFeatureGenerator() - Konstruktor für Klasse opennlp.tools.util.featuregen.PosTaggerFeatureGenerator
PosTaggerFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
PosTaggerFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.PosTaggerFeatureGeneratorFactory
POSTaggerFineGrainedReportListener - Klasse in opennlp.tools.cmdline.postag: Generates a detailed report for the POS Tagger.
POSTaggerFineGrainedReportListener() - Konstruktor für Klasse opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener: Creates a listener that will print to the configured logger.
POSTaggerFineGrainedReportListener(OutputStream) - Konstruktor für Klasse opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener: Creates a listener that prints to a given OutputStream.
POSTaggerME - Klasse in opennlp.tools.postag: A part-of-speech tagger that uses maximum entropy.
POSTaggerME(String) - Konstruktor für Klasse opennlp.tools.postag.POSTaggerME: Initializes a POSTaggerME by downloading a default model for a given language.
POSTaggerME(String, POSTagFormat) - Konstruktor für Klasse opennlp.tools.postag.POSTaggerME: Initializes a POSTaggerME by downloading a default model for a given language.
POSTaggerME(POSModel) - Konstruktor für Klasse opennlp.tools.postag.POSTaggerME: Initializes a POSTaggerME with the provided model.
POSTaggerME(POSModel, POSTagFormat) - Konstruktor für Klasse opennlp.tools.postag.POSTaggerME: Initializes a POSTaggerME with the provided model.
POSTaggerNameFeatureGenerator - Klasse in opennlp.tools.util.featuregen: Adds the token POS Tag as feature.
POSTaggerNameFeatureGenerator(POSModel) - Konstruktor für Klasse opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator: Initializes a new instance.
POSTaggerNameFeatureGenerator(POSTagger) - Konstruktor für Klasse opennlp.tools.util.featuregen.POSTaggerNameFeatureGenerator: Initializes a new instance.
POSTaggerNameFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
POSTaggerNameFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.POSTaggerNameFeatureGeneratorFactory
POSTaggerTool - Klasse in opennlp.tools.cmdline.postag
POSTaggerTool() - Konstruktor für Klasse opennlp.tools.cmdline.postag.POSTaggerTool
POSTaggerTrainerTool - Klasse in opennlp.tools.cmdline.postag
POSTaggerTrainerTool() - Konstruktor für Klasse opennlp.tools.cmdline.postag.POSTaggerTrainerTool
POSToSentenceSampleStream - Klasse in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
POSToSentenceSampleStream(Detokenizer, ObjectStream<POSSample>, int) - Konstruktor für Klasse opennlp.tools.formats.convert.POSToSentenceSampleStream: Initializes a POSToSentenceSampleStream.
POSToSentenceSampleStreamFactory - Klasse in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
POSToTokenSampleStream - Klasse in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
POSToTokenSampleStream(Detokenizer, ObjectStream<POSSample>) - Konstruktor für Klasse opennlp.tools.formats.convert.POSToTokenSampleStream: Initializes a POSToTokenSampleStream.
POSToTokenSampleStreamFactory - Klasse in opennlp.tools.formats.convert: Note: Do not use this class, internal use only!
precision(Object[], Object[]) - Statische Methode in Klasse opennlp.tools.util.eval.FMeasure: Calculates the precision score for the given reference and predicted spans.
predictLanguage(CharSequence) - Methode in Schnittstelle opennlp.tools.langdetect.LanguageDetector: Predicts the Language for the full content length.
predictLanguage(CharSequence) - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorME
predictLanguages(CharSequence) - Methode in Schnittstelle opennlp.tools.langdetect.LanguageDetector: Predicts the languages for the full content length.
predictLanguages(CharSequence) - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorME
predictLemmas(int, String[], String[]) - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerME: Predict all possible lemmas (using a default upper bound).
predictNextTokens(String...) - Methode in Schnittstelle opennlp.tools.languagemodel.LanguageModel: Predict the most probable output sequence of tokens, given an input sequence of tokens.
predictNextTokens(String...) - Methode in Klasse opennlp.tools.languagemodel.NGramLanguageModel
predictSES(String[], String[]) - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerME: Predict Short Edit Script (automatically induced lemma class).
predIndexes - Variable in Klasse opennlp.tools.ml.model.ComparableEvent
PrefixFeatureGenerator - Klasse in opennlp.tools.util.featuregen
PrefixFeatureGenerator() - Konstruktor für Klasse opennlp.tools.util.featuregen.PrefixFeatureGenerator
PrefixFeatureGenerator(int) - Konstruktor für Klasse opennlp.tools.util.featuregen.PrefixFeatureGenerator
PrefixFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
PrefixFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.PrefixFeatureGeneratorFactory
PREV_PREFIX - Statische Variable in Klasse opennlp.tools.util.featuregen.WindowFeatureGenerator
PreviousMapFeatureGenerator - Klasse in opennlp.tools.util.featuregen: This AdaptiveFeatureGenerator generates features indicating the outcome associated with a previously occurring word.
PreviousMapFeatureGenerator() - Konstruktor für Klasse opennlp.tools.util.featuregen.PreviousMapFeatureGenerator
PreviousMapFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
PreviousMapFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.PreviousMapFeatureGeneratorFactory
PreviousTwoMapFeatureGenerator - Klasse in opennlp.tools.util.featuregen: This AdaptiveFeatureGenerator generates features indicating the outcome associated with two previously occurring words.
PreviousTwoMapFeatureGenerator() - Konstruktor für Klasse opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator
printf(String, Object...) - Methode in Klasse opennlp.tools.log.LogPrintStream
println(String) - Methode in Klasse opennlp.tools.log.LogPrintStream
printSummary() - Methode in Klasse opennlp.tools.cmdline.namefind.NameSampleCountersStream
Prior - Schnittstelle in opennlp.tools.ml.model: This interface allows one to implement a prior distribution for use in maximum entropy model training.
Probabilities<T> - Klasse in opennlp.tools.ml.naivebayes: Class implementing the probability distribution over labels returned by a classifier.
Probabilities() - Konstruktor für Klasse opennlp.tools.ml.naivebayes.Probabilities
Probability<T> - Klasse in opennlp.tools.ml.naivebayes: Class implementing the probability for a label.
Probability(T) - Konstruktor für Klasse opennlp.tools.ml.naivebayes.Probability: Instantiates a Probability with a given label.
ProbingLanguageDetectionResult - Datensatzklasse in opennlp.tools.langdetect: A data container encapsulating language detection results.
ProbingLanguageDetectionResult(Language[], int) - Konstruktor für Datensatzklasse opennlp.tools.langdetect.ProbingLanguageDetectionResult: Erstellt eine Instanz einer Datensatzklasse ProbingLanguageDetectionResult.
probingPredictLanguages(CharSequence) - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorME: This will stop processing early if the stopping criteria specified in LanguageDetectorConfig.DEFAULT_LANGUAGE_DETECTOR_CONFIG are met.
probingPredictLanguages(CharSequence, LanguageDetectorConfig) - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorME: This will stop processing early if the stopping criteria specified in LanguageDetectorConfig.DEFAULT_LANGUAGE_DETECTOR_CONFIG are met.
probs() - Methode in Klasse opennlp.tools.chunker.ChunkerME: Returns an array with the probabilities of the last decoded sequence.
probs() - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerME: Returns an array with the probabilities of the last decoded sequence.
probs() - Methode in Klasse opennlp.tools.namefind.NameFinderME: Retrieves the probabilities of the last decoded sequence.
probs() - Methode in Klasse opennlp.tools.postag.POSTaggerME
probs(double[]) - Methode in Klasse opennlp.tools.chunker.ChunkerME: Populates the specified array with the probabilities of the last decoded sequence.
probs(double[]) - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerME: Populates the specified array with the probabilities of the last decoded sequence.
probs(double[]) - Methode in Klasse opennlp.tools.namefind.NameFinderME: Populates the specified array with the probabilities of the last decoded sequence.
probs(double[]) - Methode in Klasse opennlp.tools.postag.POSTaggerME: Populates the specified array with the probabilities for each tag of the last tagged sentence.
probs(Span[]) - Methode in Klasse opennlp.tools.namefind.NameFinderME: Retrieves an array of probabilities for each of the specified spans which is the arithmetic mean of the probabilities for each of the outcomes which make up the span.
processSample(DocumentSample) - Methode in Klasse opennlp.tools.doccat.DocumentCategorizerEvaluator: Evaluates the given reference sample.
processSample(LanguageSample) - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorEvaluator: Evaluates the given reference LanguageSample object.
pruneParse(Parse) - Statische Methode in Klasse opennlp.tools.parser.Parse: Prune the specified sentence parse of vacuous productions.
ptEosCharacters - Statische Variable in Klasse opennlp.tools.sentdetect.lang.Factory
put(String, boolean) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key.
put(String, double) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key.
put(String, int) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key.
put(String, String) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key.
put(String, String...) - Methode in Schnittstelle opennlp.tools.postag.MutableTagDictionary: Associates the specified tags with the specified word.
put(String, String...) - Methode in Klasse opennlp.tools.postag.POSDictionary
put(String, String, boolean) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key.
put(String, String, double) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key.
put(String, String, int) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key.
put(String, String, String) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key.
put(StringList) - Methode in Klasse opennlp.tools.dictionary.Dictionary: Adds the tokens to the dictionary as one new entry.
putIfAbsent(String, boolean) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key, if the value was not present before.
putIfAbsent(String, double) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key, if the value was not present before.
putIfAbsent(String, int) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key, if the value was not present before.
putIfAbsent(String, String) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key, if the value was not present before.
putIfAbsent(String, String, boolean) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key, if the value was not present before.
putIfAbsent(String, String, double) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key, if the value was not present before.
putIfAbsent(String, String, int) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key, if the value was not present before.
putIfAbsent(String, String, String) - Methode in Klasse opennlp.tools.util.TrainingParameters: Puts a value into the current TrainingParameters under a certain key, if the value was not present before.

Q

QNMinimizer - Klasse in opennlp.tools.ml.maxent.quasinewton: Implementation of L-BFGS which supports L1-, L2-regularization and Elastic Net for solving convex optimization problems.
QNMinimizer() - Konstruktor für Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer: Initializes a QNMinimizer with default parameters.
QNMinimizer(double, double) - Konstruktor für Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer: Initializes a QNMinimizer.
QNMinimizer(double, double, int) - Konstruktor für Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer: Initializes a QNMinimizer.
QNMinimizer(double, double, int, int, int) - Konstruktor für Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer: Initializes a QNMinimizer.
QNMinimizer.Evaluator - Schnittstelle in opennlp.tools.ml.maxent.quasinewton: Evaluate quality of training parameters.
QNMinimizer.L2RegFunction - Klasse in opennlp.tools.ml.maxent.quasinewton: L2-regularized objective Function.
QNModel - Klasse in opennlp.tools.ml.maxent.quasinewton: A maximum entropy model which has been trained using the Quasi Newton (QN) algorithm.
QNModel(Context[], String[], String[]) - Konstruktor für Klasse opennlp.tools.ml.maxent.quasinewton.QNModel: Initializes a QNModel with the specified parameters, outcome names, and predicate/feature labels.
QNModelReader - Klasse in opennlp.tools.ml.maxent.io: The base class for readers of QN models.
QNModelReader(File) - Konstruktor für Klasse opennlp.tools.ml.maxent.io.QNModelReader: Initializes a QNModelReader via a File.
QNModelReader(DataReader) - Konstruktor für Klasse opennlp.tools.ml.maxent.io.QNModelReader: Initializes a QNModelReader via a DataReader.
QNModelWriter - Klasse in opennlp.tools.ml.maxent.io: The base class for writers of models.
QNModelWriter(AbstractModel) - Konstruktor für Klasse opennlp.tools.ml.maxent.io.QNModelWriter
QNTrainer - Klasse in opennlp.tools.ml.maxent.quasinewton: A Maxent model Trainer using L-BFGS algorithm.
QNTrainer() - Konstruktor für Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer: Initializes a QNTrainer.
QNTrainer(int) - Konstruktor für Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer: Initializes a QNTrainer.
QNTrainer(int, int) - Konstruktor für Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer: Initializes a QNTrainer.
QNTrainer(TrainingParameters) - Konstruktor für Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer: Initializes a QNTrainer.

R

r_KER() - Methode in Klasse opennlp.tools.stemmer.snowball.indonesianStemmer
r_LONG() - Methode in Klasse opennlp.tools.stemmer.snowball.finnishStemmer
r_SUFFIX_AN_OK() - Methode in Klasse opennlp.tools.stemmer.snowball.indonesianStemmer
r_SUFFIX_I_OK() - Methode in Klasse opennlp.tools.stemmer.snowball.indonesianStemmer
r_SUFFIX_KAN_OK() - Methode in Klasse opennlp.tools.stemmer.snowball.indonesianStemmer
r_VI() - Methode in Klasse opennlp.tools.stemmer.snowball.finnishStemmer
r_VOWEL() - Methode in Klasse opennlp.tools.stemmer.snowball.indonesianStemmer
read() - Methode in Klasse opennlp.tools.chunker.ChunkSampleSequenceStream
read() - Methode in Klasse opennlp.tools.chunker.ChunkSampleStream
read() - Methode in Klasse opennlp.tools.cmdline.namefind.NameSampleCountersStream
read() - Methode in Klasse opennlp.tools.doccat.DocumentSampleStream
read() - Methode in Klasse opennlp.tools.formats.ad.ADChunkSampleStream
read() - Methode in Klasse opennlp.tools.formats.ad.ADNameSampleStream
read() - Methode in Klasse opennlp.tools.formats.ad.ADPOSSampleStream
read() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceSampleStream
read() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream
read() - Methode in Klasse opennlp.tools.formats.BioNLP2004NameSampleStream
read() - Methode in Klasse opennlp.tools.formats.brat.BratAnnotationStream
read() - Methode in Klasse opennlp.tools.formats.brat.BratDocumentStream
read() - Methode in Klasse opennlp.tools.formats.brat.SegmenterObjectStream
read() - Methode in Klasse opennlp.tools.formats.Conll02NameSampleStream
read() - Methode in Klasse opennlp.tools.formats.Conll03NameSampleStream
read() - Methode in Klasse opennlp.tools.formats.conllu.ConlluLemmaSampleStream
read() - Methode in Klasse opennlp.tools.formats.conllu.ConlluPOSSampleStream
read() - Methode in Klasse opennlp.tools.formats.conllu.ConlluSentenceSampleStream
read() - Methode in Klasse opennlp.tools.formats.conllu.ConlluStream
read() - Methode in Klasse opennlp.tools.formats.conllu.ConlluTokenSampleStream
read() - Methode in Klasse opennlp.tools.formats.ConllXPOSSampleStream
read() - Methode in Klasse opennlp.tools.formats.convert.AbstractToSentenceSampleStream
read() - Methode in Klasse opennlp.tools.formats.convert.FileToByteArraySampleStream
read() - Methode in Klasse opennlp.tools.formats.convert.FileToStringSampleStream
read() - Methode in Klasse opennlp.tools.formats.convert.NameToTokenSampleStream
read() - Methode in Klasse opennlp.tools.formats.convert.ParseToPOSSampleStream
read() - Methode in Klasse opennlp.tools.formats.convert.POSToTokenSampleStream
read() - Methode in Klasse opennlp.tools.formats.DirectorySampleStream
read() - Methode in Klasse opennlp.tools.formats.EvalitaNameSampleStream
read() - Methode in Klasse opennlp.tools.formats.frenchtreebank.ConstitParseSampleStream
read() - Methode in Klasse opennlp.tools.formats.leipzig.LeipzigLanguageSampleStream
read() - Methode in Klasse opennlp.tools.formats.letsmt.DetokenizeSentenceSampleStream
read() - Methode in Klasse opennlp.tools.formats.masc.MascDocument
read() - Methode in Klasse opennlp.tools.formats.masc.MascDocumentStream: Return the next document.
read() - Methode in Klasse opennlp.tools.formats.masc.MascNamedEntitySampleStream: Reads the next sample of named entities.
read() - Methode in Klasse opennlp.tools.formats.masc.MascPOSSampleStream: Reads the next sample.
read() - Methode in Klasse opennlp.tools.formats.masc.MascSentenceSampleStream: Reads a new sample of sentences.
read() - Methode in Klasse opennlp.tools.formats.masc.MascTokenSampleStream
read() - Methode in Klasse opennlp.tools.formats.moses.MosesSentenceSampleStream
read() - Methode in Klasse opennlp.tools.formats.muc.MucNameSampleStream
read() - Methode in Klasse opennlp.tools.formats.NameFinderCensus90NameStream
read() - Methode in Klasse opennlp.tools.formats.nkjp.NKJPSentenceSampleStream
read() - Methode in Klasse opennlp.tools.formats.ontonotes.OntoNotesNameSampleStream
read() - Methode in Klasse opennlp.tools.formats.ontonotes.OntoNotesParseSampleStream
read() - Methode in Klasse opennlp.tools.formats.TwentyNewsgroupSampleStream
read() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorSampleStream
read() - Methode in Klasse opennlp.tools.lemmatizer.LemmaSampleSequenceStream
read() - Methode in Klasse opennlp.tools.lemmatizer.LemmaSampleStream
read() - Methode in Klasse opennlp.tools.ml.maxent.RealBasicEventStream: Returns the next ObjectStream object.
read() - Methode in Klasse opennlp.tools.ml.model.ChecksumEventStream
read() - Methode in Klasse opennlp.tools.ml.model.FileEventStream: Returns the next Event object.
read() - Methode in Klasse opennlp.tools.ml.model.RealValueFileEventStream: Returns the next Event object.
read() - Methode in Klasse opennlp.tools.ml.model.SequenceStreamEventStream
read() - Methode in Klasse opennlp.tools.namefind.NameSampleDataStream
read() - Methode in Klasse opennlp.tools.namefind.NameSampleSequenceStream
read() - Methode in Klasse opennlp.tools.namefind.NameSampleTypeFilter
read() - Methode in Klasse opennlp.tools.parser.ChunkSampleStream
read() - Methode in Klasse opennlp.tools.parser.ParseSampleStream
read() - Methode in Klasse opennlp.tools.parser.PosSampleStream
read() - Methode in Klasse opennlp.tools.postag.POSSampleSequenceStream
read() - Methode in Klasse opennlp.tools.postag.WordTagSampleStream: Parses the next sentence and return the next POSSample object.
read() - Methode in Klasse opennlp.tools.sentdetect.EmptyLinePreprocessorStream
read() - Methode in Klasse opennlp.tools.sentdetect.SentenceSampleStream
read() - Methode in Klasse opennlp.tools.tokenize.TokenizerStream
read() - Methode in Klasse opennlp.tools.tokenize.TokenSampleStream
read() - Methode in Klasse opennlp.tools.tokenize.WhitespaceTokenStream
read() - Methode in Klasse opennlp.tools.util.AbstractEventStream
read() - Methode in Klasse opennlp.tools.util.AbstractObjectStream
read() - Methode in Klasse opennlp.tools.util.CollectionObjectStream
read() - Methode in Klasse opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream
read() - Methode in Klasse opennlp.tools.util.EventTraceStream
read() - Methode in Schnittstelle opennlp.tools.util.ObjectStream: Returns the next ObjectStream object.
read() - Methode in Klasse opennlp.tools.util.ParagraphStream
read() - Methode in Klasse opennlp.tools.util.PlainTextByLineStream
read(InputStream) - Statische Methode in Klasse opennlp.tools.util.model.ModelUtil: Reads from the provided InputStream into a byte array.
readDouble() - Methode in Klasse opennlp.tools.ml.model.AbstractModelReader: Implement as needed for the format the model is stored in.
readDouble() - Methode in Klasse opennlp.tools.ml.model.BinaryFileDataReader
readDouble() - Methode in Schnittstelle opennlp.tools.ml.model.DataReader
readDouble() - Methode in Klasse opennlp.tools.ml.model.ObjectDataReader
readDouble() - Methode in Klasse opennlp.tools.ml.model.PlainTextFileDataReader
readInt() - Methode in Klasse opennlp.tools.ml.model.AbstractModelReader: Implement as needed for the format the model is stored in.
readInt() - Methode in Klasse opennlp.tools.ml.model.BinaryFileDataReader
readInt() - Methode in Schnittstelle opennlp.tools.ml.model.DataReader
readInt() - Methode in Klasse opennlp.tools.ml.model.ObjectDataReader
readInt() - Methode in Klasse opennlp.tools.ml.model.PlainTextFileDataReader
readUTF() - Methode in Klasse opennlp.tools.ml.model.AbstractModelReader: Implement as needed for the format the model is stored in.
readUTF() - Methode in Klasse opennlp.tools.ml.model.BinaryFileDataReader
readUTF() - Methode in Schnittstelle opennlp.tools.ml.model.DataReader
readUTF() - Methode in Klasse opennlp.tools.ml.model.ObjectDataReader
readUTF() - Methode in Klasse opennlp.tools.ml.model.PlainTextFileDataReader
readUTF(DataInputStream) - Statische Methode in Klasse opennlp.tools.ml.model.ModelParameterChunker: Reads model parameters from dis.
RealBasicEventStream - Klasse in opennlp.tools.ml.maxent: Class for real-valued events as an event stream. .
RealBasicEventStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.ml.maxent.RealBasicEventStream
RealValueFileEventStream - Klasse in opennlp.tools.ml.model: Class for using a file of real-valued events as an event stream.
RealValueFileEventStream(File) - Konstruktor für Klasse opennlp.tools.ml.model.RealValueFileEventStream: Instantiates a RealValueFileEventStream via a File.
RealValueFileEventStream(Reader) - Konstruktor für Klasse opennlp.tools.ml.model.RealValueFileEventStream: Instantiates a RealValueFileEventStream via a Reader.
RealValueFileEventStream(String) - Konstruktor für Klasse opennlp.tools.ml.model.RealValueFileEventStream: Instantiates a RealValueFileEventStream from the specified file name.
RealValueFileEventStream(String, String) - Konstruktor für Klasse opennlp.tools.ml.model.RealValueFileEventStream: Instantiates a RealValueFileEventStream from the specified file name.
recall(Object[], Object[]) - Statische Methode in Klasse opennlp.tools.util.eval.FMeasure: Calculates the recall score for the given reference and predicted spans.
recognize(String) - Statische Methode in Klasse opennlp.tools.util.featuregen.StringPattern
reduceChunks(Parse[], int, Parse) - Statische Methode in Klasse opennlp.tools.parser.chunking.ParserEventStream
RegexNameFinder - Klasse in opennlp.tools.namefind: A TokenNameFinder implementation based on a series of regular expressions.
RegexNameFinder(Map<String, Pattern[]>) - Konstruktor für Klasse opennlp.tools.namefind.RegexNameFinder: Initializes a RegexNameFinder instance.
RegexNameFinder(Pattern[], String) - Konstruktor für Klasse opennlp.tools.namefind.RegexNameFinder: Initializes a RegexNameFinder instance.
RegexNameFinderFactory - Klasse in opennlp.tools.namefind: Returns a RegexNameFinder based on a selection of defaults or a configuration and a selection of defaults.
RegexNameFinderFactory() - Konstruktor für Klasse opennlp.tools.namefind.RegexNameFinderFactory
RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER - Enum-Klasse in opennlp.tools.namefind: Enumeration of typical regex expressions available in OpenNLP.
RegexNameFinderFactory.RegexAble - Schnittstelle in opennlp.tools.namefind
register(Map<String, ArtifactSerializer<?>>) - Statische Methode in Klasse opennlp.tools.util.model.GenericModelSerializer: Registers a new GenericModelSerializer in the given factories mapping.
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.ad.ADChunkSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.ad.ADNameSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.ad.ADPOSSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.ad.ADSentenceSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.ad.ADTokenSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.BioNLP2004NameSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.brat.BratNameSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.ChunkerSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.Conll02NameSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.Conll03NameSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.conllu.ConlluLemmaSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.conllu.ConlluPOSSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.conllu.ConlluSentenceSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.conllu.ConlluTokenSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.ConllXPOSSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.ConllXSentenceSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.ConllXTokenSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.convert.NameToSentenceSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.convert.NameToTokenSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.convert.ParseToPOSSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.convert.ParseToSentenceSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.convert.ParseToTokenSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.convert.POSToSentenceSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.convert.POSToTokenSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.DocumentSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.EvalitaNameSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.frenchtreebank.ConstitParseSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankSentenceStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.irishsentencebank.IrishSentenceBankTokenSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.LanguageDetectorSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.leipzig.LeipzigLanguageSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.LemmatizerSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.letsmt.LetsmtSentenceStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.masc.MascNamedEntitySampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.masc.MascPOSSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.masc.MascSentenceSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.masc.MascTokenSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.moses.MosesSentenceSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.muc.Muc6NameSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.NameSampleDataStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.nkjp.NKJPSentenceSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.ontonotes.OntoNotesNameSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.ontonotes.OntoNotesParseSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.ontonotes.OntoNotesPOSSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.ParseSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.SentenceSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.TokenSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.TwentyNewsgroupSampleStreamFactory
registerFactory() - Statische Methode in Klasse opennlp.tools.formats.WordTagSampleStreamFactory
REL_GRAD_NORM_TOL - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer
RELATION_TYPE - Statische Variable in Klasse opennlp.tools.formats.brat.AnnotationConfiguration
RelationAnnotation - Klasse in opennlp.tools.formats.brat
remove() - Methode in Klasse opennlp.tools.tokenize.lang.en.TokenSampleStream
remove() - Methode in Klasse opennlp.tools.util.ReverseListIterator
remove(int) - Methode in Klasse opennlp.tools.parser.Parse
remove(CharSequence) - Methode in Klasse opennlp.tools.ngram.NGramCharModel: Removes the specified ngram is from a NGramCharModel.
remove(StringList) - Methode in Klasse opennlp.tools.dictionary.Dictionary: Removes the given tokens form the current instance.
remove(StringList) - Methode in Klasse opennlp.tools.ngram.NGramModel: Removes the specified tokens form the NGram model, they are just dropped.
replaceNewLineEscapeTags(String) - Statische Methode in Klasse opennlp.tools.sentdetect.SentenceSampleStream
reset() - Methode in Klasse opennlp.tools.chunker.ChunkSampleSequenceStream
reset() - Methode in Klasse opennlp.tools.cmdline.namefind.NameSampleCountersStream
reset() - Methode in Klasse opennlp.tools.formats.ad.ADChunkSampleStream
reset() - Methode in Klasse opennlp.tools.formats.ad.ADNameSampleStream
reset() - Methode in Klasse opennlp.tools.formats.ad.ADPOSSampleStream
reset() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceSampleStream
reset() - Methode in Klasse opennlp.tools.formats.BioNLP2004NameSampleStream
reset() - Methode in Klasse opennlp.tools.formats.brat.BratAnnotationStream
reset() - Methode in Klasse opennlp.tools.formats.brat.BratDocumentStream
reset() - Methode in Klasse opennlp.tools.formats.Conll02NameSampleStream
reset() - Methode in Klasse opennlp.tools.formats.Conll03NameSampleStream
reset() - Methode in Klasse opennlp.tools.formats.conllu.ConlluStream
reset() - Methode in Klasse opennlp.tools.formats.DirectorySampleStream
reset() - Methode in Klasse opennlp.tools.formats.EvalitaNameSampleStream
reset() - Methode in Klasse opennlp.tools.formats.leipzig.LeipzigLanguageSampleStream
reset() - Methode in Klasse opennlp.tools.formats.masc.MascDocument: Resets the reading of sentences to the beginning of the document.
reset() - Methode in Klasse opennlp.tools.formats.masc.MascDocumentStream: Reset the reading of all documents to the first sentence.
reset() - Methode in Klasse opennlp.tools.formats.masc.MascNamedEntitySampleStream
reset() - Methode in Klasse opennlp.tools.formats.masc.MascPOSSampleStream
reset() - Methode in Klasse opennlp.tools.formats.masc.MascSentenceSampleStream
reset() - Methode in Klasse opennlp.tools.formats.masc.MascTokenSampleStream
reset() - Methode in Klasse opennlp.tools.formats.NameFinderCensus90NameStream
reset() - Methode in Klasse opennlp.tools.formats.nkjp.NKJPSentenceSampleStream
reset() - Methode in Klasse opennlp.tools.formats.TwentyNewsgroupSampleStream
reset() - Methode in Klasse opennlp.tools.lemmatizer.LemmaSampleSequenceStream
reset() - Methode in Klasse opennlp.tools.ml.maxent.RealBasicEventStream
reset() - Methode in Klasse opennlp.tools.ml.model.FileEventStream
reset() - Methode in Klasse opennlp.tools.ml.model.SequenceStreamEventStream
reset() - Methode in Klasse opennlp.tools.namefind.NameSampleSequenceStream
reset() - Methode in Klasse opennlp.tools.postag.POSSampleSequenceStream
reset() - Methode in Klasse opennlp.tools.stemmer.PorterStemmer: reset() resets the stemmer so it can stem another word.
reset() - Methode in Klasse opennlp.tools.tokenize.TokenizerStream
reset() - Methode in Klasse opennlp.tools.util.AbstractEventStream
reset() - Methode in Klasse opennlp.tools.util.AbstractObjectStream
reset() - Methode in Klasse opennlp.tools.util.CollectionObjectStream
reset() - Methode in Klasse opennlp.tools.util.eval.CrossValidationPartitioner.TrainingSampleStream: Resets the training sample.
reset() - Methode in Klasse opennlp.tools.util.FilterObjectStream
reset() - Methode in Schnittstelle opennlp.tools.util.ObjectStream: Repositions the stream at the beginning and the previously seen object sequence will be repeated exactly.
reset() - Methode in Klasse opennlp.tools.util.PlainTextByLineStream
reset() - Methode in Schnittstelle opennlp.tools.util.ResetableIterator: Sets the Iterator back to the first retrieved element.
ResetableIterator<E> - Schnittstelle in opennlp.tools.util: This interface makes an Iterator resettable.
result - Variable in Klasse opennlp.tools.stemmer.snowball.Among
ReverseListIterator<T> - Klasse in opennlp.tools.util: An iterator for a list which returns values in the opposite order as the typical list iterator.
ReverseListIterator(List<T>) - Konstruktor für Klasse opennlp.tools.util.ReverseListIterator
RIGHT_LEFT_MATCHING - Enum-Konstante in Enum-Klasse opennlp.tools.tokenize.DetokenizationDictionary.Operation: Attaches the token to the right token on first occurrence, and to the token on the left side on the second occurrence.
ROMANIAN - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
romanianStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
romanianStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.romanianStemmer
run(String[]) - Methode in Klasse opennlp.tools.cmdline.chunker.ChunkerMETool
run(String[]) - Methode in Klasse opennlp.tools.cmdline.dictionary.DictionaryBuilderTool
run(String[]) - Methode in Klasse opennlp.tools.cmdline.doccat.DoccatTool
run(String[]) - Methode in Klasse opennlp.tools.cmdline.entitylinker.EntityLinkerTool
run(String[]) - Methode in Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorTool
run(String[]) - Methode in Klasse opennlp.tools.cmdline.languagemodel.NGramLanguageModelTool
run(String[]) - Methode in Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerMETool
run(String[]) - Methode in Klasse opennlp.tools.cmdline.namefind.CensusDictionaryCreatorTool
run(String[]) - Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderTool
run(String[]) - Methode in Klasse opennlp.tools.cmdline.parser.ParserTool
run(String[]) - Methode in Klasse opennlp.tools.cmdline.parser.TaggerModelReplacerTool
run(String[]) - Methode in Klasse opennlp.tools.cmdline.postag.POSTaggerTool
run(String[]) - Methode in Klasse opennlp.tools.cmdline.sentdetect.SentenceDetectorTool: Perform sentence detection on a stream of sentences.
run(String[]) - Methode in Klasse opennlp.tools.cmdline.tokenizer.DictionaryDetokenizerTool
run(String[]) - Methode in Klasse opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
run(String[]) - Methode in Klasse opennlp.tools.cmdline.tokenizer.TokenizerMETool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.chunker.ChunkerCrossValidatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.chunker.ChunkerEvaluatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.chunker.ChunkerTrainerTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.doccat.DoccatCrossValidatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.doccat.DoccatEvaluatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.doccat.DoccatTrainerTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorCrossValidatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorEvaluatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorTrainerTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerEvaluatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerTrainerTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.parser.BuildModelUpdaterTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.parser.CheckModelUpdaterTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.parser.ParserEvaluatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.parser.ParserTrainerTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.postag.POSTaggerCrossValidatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.postag.POSTaggerEvaluatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.postag.POSTaggerTrainerTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool
run(String, String[]) - Methode in Klasse opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool
RUSSIAN - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
russianStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
russianStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.russianStemmer

S

s - Variable in Klasse opennlp.tools.stemmer.snowball.Among
Sample - Schnittstelle in opennlp.tools.commons: Represents a generic type of processable elements.
scoreMap(String[]) - Methode in Schnittstelle opennlp.tools.doccat.DocumentCategorizer: Retrieves a Map in which the key is the category name and the value is the score.
scoreMap(String[]) - Methode in Klasse opennlp.tools.doccat.DocumentCategorizerME
SDContextGenerator - Schnittstelle in opennlp.tools.sentdetect: Interface for SentenceDetectorME context generators.
SDCrossValidator - Klasse in opennlp.tools.sentdetect: A cross validator for sentence detectors.
SDCrossValidator(String, TrainingParameters, SentenceDetectorFactory, SentenceDetectorEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.sentdetect.SDCrossValidator
SDEventStream - Klasse in opennlp.tools.sentdetect
SDEventStream(ObjectStream<SentenceSample>, SDContextGenerator, EndOfSentenceScanner) - Konstruktor für Klasse opennlp.tools.sentdetect.SDEventStream: Initializes the current instance.
seen - Variable in Klasse opennlp.tools.ml.model.ComparableEvent
SegmenterObjectStream<S,T> - Klasse in opennlp.tools.formats.brat
SegmenterObjectStream(ObjectStream<S>) - Konstruktor für Klasse opennlp.tools.formats.brat.SegmenterObjectStream
sentDetect(CharSequence) - Methode in Klasse opennlp.tools.sentdetect.NewlineSentenceDetector
sentDetect(CharSequence) - Methode in Schnittstelle opennlp.tools.sentdetect.SentenceDetector: Detects sentences in a character sequence.
sentDetect(CharSequence) - Methode in Klasse opennlp.tools.sentdetect.SentenceDetectorME: Detects sentences in given input CharSequence..
sentDetect(CharSequence) - Methode in Klasse opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
Sentence() - Konstruktor für Klasse opennlp.tools.formats.ad.ADSentenceStream.Sentence
SENTENCE_DETECTOR - Enum-Konstante in Enum-Klasse opennlp.tools.util.DownloadUtil.ModelType
SentenceContextGenerator - Klasse in opennlp.tools.sentdetect.lang.th: Creates contexts/features for end-of-sentence detection in Thai text.
SentenceContextGenerator() - Konstruktor für Klasse opennlp.tools.sentdetect.lang.th.SentenceContextGenerator
SentenceDetector - Schnittstelle in opennlp.tools.sentdetect: The interface for sentence detectors, which find the sentence boundaries in a text.
SentenceDetectorConverterTool - Klasse in opennlp.tools.cmdline.sentdetect: Tool to convert multiple data formats into native OpenNLP sentence detector training format.
SentenceDetectorConverterTool() - Konstruktor für Klasse opennlp.tools.cmdline.sentdetect.SentenceDetectorConverterTool
SentenceDetectorCrossValidatorTool - Klasse in opennlp.tools.cmdline.sentdetect
SentenceDetectorCrossValidatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.sentdetect.SentenceDetectorCrossValidatorTool
SentenceDetectorEvaluationMonitor - Schnittstelle in opennlp.tools.sentdetect
SentenceDetectorEvaluator - Klasse in opennlp.tools.sentdetect: The SentenceDetectorEvaluator measures the performance of the given SentenceDetector with the provided reference SentenceSamples.
SentenceDetectorEvaluator(SentenceDetector, SentenceDetectorEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.sentdetect.SentenceDetectorEvaluator: Initializes the current instance.
SentenceDetectorEvaluatorTool - Klasse in opennlp.tools.cmdline.sentdetect: A default SentenceSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.
SentenceDetectorEvaluatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.sentdetect.SentenceDetectorEvaluatorTool
SentenceDetectorFactory - Klasse in opennlp.tools.sentdetect: The factory that provides SentenceDetector default implementations and resources
SentenceDetectorFactory() - Konstruktor für Klasse opennlp.tools.sentdetect.SentenceDetectorFactory: Creates a SentenceDetectorFactory that provides the default implementation of the resources.
SentenceDetectorFactory(String, boolean, Dictionary, char[]) - Konstruktor für Klasse opennlp.tools.sentdetect.SentenceDetectorFactory: Creates a SentenceDetectorFactory.
SentenceDetectorME - Klasse in opennlp.tools.sentdetect: A sentence detector for splitting up raw text into sentences.
SentenceDetectorME(String) - Konstruktor für Klasse opennlp.tools.sentdetect.SentenceDetectorME: Initializes the sentence detector by downloading a default model.
SentenceDetectorME(SentenceModel) - Konstruktor für Klasse opennlp.tools.sentdetect.SentenceDetectorME: Initializes the current instance.
SentenceDetectorME(SentenceModel, Dictionary) - Konstruktor für Klasse opennlp.tools.sentdetect.SentenceDetectorME: Instantiates a SentenceDetectorME with an existing SentenceModel.
SentenceDetectorME(SentenceModel, Factory) - Konstruktor für Klasse opennlp.tools.sentdetect.SentenceDetectorME: Veraltet.
Use a SentenceDetectorFactory to extend SentenceDetector functionality.
SentenceDetectorTool - Klasse in opennlp.tools.cmdline.sentdetect: A sentence detector which uses a maxent model to predict the sentences.
SentenceDetectorTool() - Konstruktor für Klasse opennlp.tools.cmdline.sentdetect.SentenceDetectorTool
SentenceDetectorTrainerTool - Klasse in opennlp.tools.cmdline.sentdetect
SentenceDetectorTrainerTool() - Konstruktor für Klasse opennlp.tools.cmdline.sentdetect.SentenceDetectorTrainerTool
SentenceEvaluationErrorListener - Klasse in opennlp.tools.cmdline.sentdetect: A default implementation of EvaluationMonitor that prints to an output stream.
SentenceEvaluationErrorListener() - Konstruktor für Klasse opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener: Creates a listener that will print to the configured logger.
SentenceEvaluationErrorListener(OutputStream) - Konstruktor für Klasse opennlp.tools.cmdline.sentdetect.SentenceEvaluationErrorListener: Creates a listener that will print to a given OutputStream.
SentenceFeatureGenerator - Klasse in opennlp.tools.util.featuregen: This feature generator creates sentence begin and end features.
SentenceFeatureGenerator(boolean, boolean) - Konstruktor für Klasse opennlp.tools.util.featuregen.SentenceFeatureGenerator
SentenceFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
SentenceFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.SentenceFeatureGeneratorFactory
SentenceModel - Klasse in opennlp.tools.sentdetect: The SentenceModel is the model used by a learnable SentenceDetector.
SentenceModel(File) - Konstruktor für Klasse opennlp.tools.sentdetect.SentenceModel: Initializes a SentenceModel instance via a valid File.
SentenceModel(InputStream) - Konstruktor für Klasse opennlp.tools.sentdetect.SentenceModel: Initializes a SentenceModel instance via a valid InputStream.
SentenceModel(String, MaxentModel, Map<String, String>, SentenceDetectorFactory) - Konstruktor für Klasse opennlp.tools.sentdetect.SentenceModel: Initializes a SentenceModel instance via given parameters.
SentenceModel(URL) - Konstruktor für Klasse opennlp.tools.sentdetect.SentenceModel: Initializes a SentenceModel instance via a valid URL.
SentenceModel(Path) - Konstruktor für Klasse opennlp.tools.sentdetect.SentenceModel: Initializes a SentenceModel instance via a valid Path.
SentenceParser() - Konstruktor für Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser
SentenceSample - Klasse in opennlp.tools.sentdetect: A SentenceSample contains a document with begin indexes of the individual sentences.
SentenceSample(CharSequence, Span...) - Konstruktor für Klasse opennlp.tools.sentdetect.SentenceSample: Initializes the current instance.
SentenceSample(Detokenizer, String[][]) - Konstruktor für Klasse opennlp.tools.sentdetect.SentenceSample
SentenceSampleStream - Klasse in opennlp.tools.sentdetect: This class is a stream filter which reads a sentence by line samples from an ObjectStream and converts them into SentenceSample objects.
SentenceSampleStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.sentdetect.SentenceSampleStream
SentenceSampleStreamFactory - Klasse in opennlp.tools.formats: Factory producing OpenNLP SentenceSampleStreams.
sentPosDetect(CharSequence) - Methode in Klasse opennlp.tools.sentdetect.NewlineSentenceDetector
sentPosDetect(CharSequence) - Methode in Schnittstelle opennlp.tools.sentdetect.SentenceDetector: Detects sentences in a character sequence.
sentPosDetect(CharSequence) - Methode in Klasse opennlp.tools.sentdetect.SentenceDetectorME: Detects the position of the first words of sentences in a CharSequence.
sentPosDetect(CharSequence) - Methode in Klasse opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME
Sequence<T> - Klasse in opennlp.tools.ml.model: Class which models a sequence.
Sequence - Klasse in opennlp.tools.util: Represents a weighted sequence of outcomes.
Sequence() - Konstruktor für Klasse opennlp.tools.util.Sequence: Initializes a new Sequence of outcomes.
Sequence(List<String>) - Konstruktor für Klasse opennlp.tools.util.Sequence: Initializes a new Sequence of outcomes from a list of outcomes.
Sequence(Event[], T) - Konstruktor für Klasse opennlp.tools.ml.model.Sequence: Initializes Sequence made up of the specified events and derived from the specified source.
Sequence(Sequence) - Konstruktor für Klasse opennlp.tools.util.Sequence: Initializes a new Sequence of outcomes from an existing Sequence.
Sequence(Sequence, String, double) - Konstruktor für Klasse opennlp.tools.util.Sequence: Initializes a new Sequence of outcomes from an existing Sequence.
SEQUENCE_TRAINER - Enum-Konstante in Enum-Klasse opennlp.tools.ml.TrainerFactory.TrainerType
SEQUENCE_VALUE - Statische Variable in Schnittstelle opennlp.tools.ml.EventModelSequenceTrainer
SEQUENCE_VALUE - Statische Variable in Schnittstelle opennlp.tools.ml.SequenceTrainer
SequenceClassificationModel - Schnittstelle in opennlp.tools.ml.model: A classification model that can label an input Sequence.
SequenceCodec<T> - Schnittstelle in opennlp.tools.util: A codec for sequences of type SequenceCodec.
SequenceStream<S> - Schnittstelle in opennlp.tools.ml.model: Interface for streams of sequences used to train sequence models.
SequenceStreamEventStream - Klasse in opennlp.tools.ml.model: Class which turns a SequenceStream into an event stream.
SequenceStreamEventStream(SequenceStream<Event>) - Konstruktor für Klasse opennlp.tools.ml.model.SequenceStreamEventStream
SequenceTrainer - Schnittstelle in opennlp.tools.ml
SequenceValidator<T> - Schnittstelle in opennlp.tools.util
SerializableArtifact - Schnittstelle in opennlp.tools.util.model: A marker interface so that implementing classes can refer to the corresponding ArtifactSerializer implementation.
serialize(byte[], OutputStream) - Methode in Klasse opennlp.tools.util.model.ByteArraySerializer
serialize(File) - Methode in Klasse opennlp.tools.util.model.BaseModel: Serializes the model to the specified File.
serialize(OutputStream) - Methode in Klasse opennlp.tools.dictionary.Dictionary: Writes the current instance to the given OutputStream.
serialize(OutputStream) - Methode in Klasse opennlp.tools.ngram.NGramModel: Writes the ngram instance to the given OutputStream.
serialize(OutputStream) - Methode in Klasse opennlp.tools.postag.POSDictionary: Writes the POSDictionary to the given OutputStream;
serialize(OutputStream) - Methode in Klasse opennlp.tools.tokenize.DetokenizationDictionary: Serializes the current state of a DetokenizationDictionary via an output stream.
serialize(OutputStream) - Methode in Klasse opennlp.tools.util.featuregen.BrownCluster
serialize(OutputStream) - Methode in Klasse opennlp.tools.util.featuregen.WordClusterDictionary
serialize(OutputStream) - Methode in Klasse opennlp.tools.util.model.BaseModel: Serializes the model to the given OutputStream.
serialize(OutputStream) - Methode in Klasse opennlp.tools.util.TrainingParameters: Serializes a TrainingParameters instance via a specified OutputStream.
serialize(OutputStream, Iterator<Entry>, boolean) - Statische Methode in Klasse opennlp.tools.dictionary.serializer.DictionaryEntryPersistor: Serializes the given entries to the given OutputStream.
serialize(Writer) - Methode in Klasse opennlp.tools.parser.lang.en.HeadRules: Serializes the head rules via a Writer in a format suitable for loading the head rules again.
serialize(Writer) - Methode in Klasse opennlp.tools.parser.lang.es.AncoraSpanishHeadRules: Serializes the head rules via a Writer in a format suitable for loading the head rules again.
serialize(Path) - Methode in Klasse opennlp.tools.util.model.BaseModel: Serializes the model to the specified Path.
serialize(ChunkerModel, OutputStream) - Methode in Klasse opennlp.tools.util.model.ChunkerModelSerializer
serialize(Dictionary, OutputStream) - Methode in Klasse opennlp.tools.util.model.DictionarySerializer
serialize(AbstractModel, OutputStream) - Methode in Klasse opennlp.tools.util.model.GenericModelSerializer
serialize(HeadRules, OutputStream) - Methode in Klasse opennlp.tools.parser.lang.en.HeadRules.HeadRulesSerializer
serialize(AncoraSpanishHeadRules, OutputStream) - Methode in Klasse opennlp.tools.parser.lang.es.AncoraSpanishHeadRules.HeadRulesSerializer
serialize(POSDictionary, OutputStream) - Methode in Klasse opennlp.tools.postag.POSTaggerFactory.POSDictionarySerializer
serialize(POSModel, OutputStream) - Methode in Klasse opennlp.tools.util.model.POSModelSerializer
serialize(BrownCluster, OutputStream) - Methode in Klasse opennlp.tools.util.featuregen.BrownCluster.BrownClusterSerializer
serialize(WordClusterDictionary, OutputStream) - Methode in Klasse opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer
serialize(T, OutputStream) - Methode in Schnittstelle opennlp.tools.util.model.ArtifactSerializer: Serializes an artifact to the provided OutputStream.
set(double) - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbability: Assigns a probability to a label, discarding any previously assigned probability.
set(double) - Methode in Klasse opennlp.tools.ml.naivebayes.Probability: Assigns a probability to a label, discarding any previously assigned probability.
set(Probability<T>) - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbability: Assigns a probability to a label, discarding any previously assigned probability.
set(Probability<T>) - Methode in Klasse opennlp.tools.ml.naivebayes.Probability: Assigns a probability to a label, discarding any previously assigned probability.
set(T, double) - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbabilities: Assigns a probability to a label t, discarding any previously assigned probability.
set(T, double) - Methode in Klasse opennlp.tools.ml.naivebayes.Probabilities: Assigns a probability to a label t, discarding any previously assigned probability.
set(T, Probability<T>) - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbabilities: Assigns a probability to a label t, discarding any previously assigned probability.
set(T, Probability<T>) - Methode in Klasse opennlp.tools.ml.naivebayes.Probabilities: Assigns a probability to a label t, discarding any previously assigned probability.
setAll(double, double, double, double[], double[], double[], double[], double[], double[], int) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult: Update line search elements
setAll(double, double, double, double[], double[], double[], double[], int) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult: Update line search elements
setChild(int, String) - Methode in Klasse opennlp.tools.parser.Parse: Replaces the child at the specified index with a new child with the specified label.
setChunkSize(int) - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorConfig
setConfidence(double) - Methode in Klasse opennlp.tools.ml.naivebayes.Probabilities: Sets the best confidence with which this set of probabilities has been calculated.
setCount(CharSequence, int) - Methode in Klasse opennlp.tools.ngram.NGramCharModel: Sets the count of an existing ngram.
setCount(StringList, int) - Methode in Klasse opennlp.tools.ngram.NGramModel: Sets the count of an existing ngram.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.arabicStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.catalanStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.danishStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.dutchStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.englishStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.finnishStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.frenchStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.germanStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.greekStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.hungarianStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.indonesianStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.irishStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.italianStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.norwegianStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.porterStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.portugueseStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.romanianStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.russianStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.spanishStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.swedishStemmer: Set the current string.
setCurrent(String) - Methode in Klasse opennlp.tools.stemmer.snowball.turkishStemmer: Set the current string.
setCurrentContext(String[][]) - Methode in Klasse opennlp.tools.util.featuregen.AdditionalContextFeatureGenerator
setCurrPoint(double[]) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setDerivation(StringBuffer) - Methode in Klasse opennlp.tools.parser.Parse: Specifies the derivation string to be associated with this parse.
setDictionary(String, Dictionary) - Methode in Klasse opennlp.tools.util.featuregen.DictionaryFeatureGenerator
setDictionary(Dictionary) - Methode in Klasse opennlp.tools.util.featuregen.DictionaryFeatureGenerator
setEnd(int) - Methode in Klasse opennlp.tools.formats.ad.ADChunkSampleStream
setErrorReporting(boolean) - Methode in Klasse opennlp.tools.parser.AbstractBottomUpParser: Specifies whether the parser should report when it was unable to find a parse for a particular sentence.
setEvaluator(QNMinimizer.Evaluator) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer
setFctEvalCount(int) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setFeatureGenerators(FeatureGenerator[]) - Methode in Klasse opennlp.tools.doccat.DoccatFactory
setFunctionalTag(String) - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
setGaussianSigma(double) - Methode in Klasse opennlp.tools.ml.maxent.GISTrainer: Sets whether this trainer will use smoothing while training the model.
setGradAtCurr(double[]) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setGradAtNext(double[]) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setIfLarger(double) - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbability: Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(double) - Methode in Klasse opennlp.tools.ml.naivebayes.Probability: Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(Probability<T>) - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbability: Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(Probability<T>) - Methode in Klasse opennlp.tools.ml.naivebayes.Probability: Assigns a probability to a label, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(T, double) - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbabilities: Assigns a probability to a label t, discarding any previously assigned probability, if the new probability is greater than the old one.
setIfLarger(T, double) - Methode in Klasse opennlp.tools.ml.naivebayes.Probabilities: Assigns a probability to a label t, discarding any previously assigned probability, if the new probability is greater than the old one.
setItemID(String) - Methode in Klasse opennlp.tools.entitylinker.BaseLink
setItemName(String) - Methode in Klasse opennlp.tools.entitylinker.BaseLink
setItemParentID(String) - Methode in Klasse opennlp.tools.entitylinker.BaseLink
setItemType(String) - Methode in Klasse opennlp.tools.entitylinker.BaseLink
setKeepNewLines(boolean) - Methode in Klasse opennlp.tools.tokenize.SimpleTokenizer: Switches whether to keep new lines or not.
setKeepNewLines(boolean) - Methode in Klasse opennlp.tools.tokenize.TokenizerME: Switches whether to keep new lines or not.
setKeepNewLines(boolean) - Methode in Klasse opennlp.tools.tokenize.WhitespaceTokenizer: Switches whether to keep new lines or not.
setLabel(String) - Methode in Klasse opennlp.tools.parser.Constituent: Assigns the label to the constituent.
setLabel(String) - Methode in Klasse opennlp.tools.parser.Parse: Assigns this parse the specified label.
setLabels(String[], String[]) - Methode in Schnittstelle opennlp.tools.ml.model.Prior: Method to specify the label for the outcomes and contexts.
setLabels(String[], String[]) - Methode in Klasse opennlp.tools.ml.model.UniformPrior
setLemma(String) - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
setLevel(int) - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
setLexeme(String) - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
setLinkedEntries(ArrayList<T>) - Methode in Klasse opennlp.tools.entitylinker.LinkedSpan
setLog(double) - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbability: Assigns a log probability to a label, discarding any previously assigned probability.
setLog(double) - Methode in Klasse opennlp.tools.ml.naivebayes.Probability: Assigns a log probability to a label, discarding any previously assigned probability.
setLog(T, double) - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbabilities: Assigns a log probability to a label t, discarding any previously assigned probability.
setLog(T, double) - Methode in Klasse opennlp.tools.ml.naivebayes.Probabilities: Assigns a log probability to a label t, discarding any previously assigned probability.
setMatchingPatterns(Pattern[]) - Methode in Klasse opennlp.tools.namefind.RegexNameFinder
setMaxLength(int) - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorConfig
setMetadata(String) - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.Sentence
setMinConsecImprovements(int) - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorConfig
setMinDiff(double) - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorConfig
setMorphologicalTag(String) - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
setNextPoint(double[]) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setNextPunctuation(Collection<Parse>) - Methode in Klasse opennlp.tools.parser.Parse: Sets the punctuation tags which follow this parse.
setNote(String) - Methode in Klasse opennlp.tools.formats.brat.BratAnnotation
setParameter(int, double) - Methode in Klasse opennlp.tools.ml.model.MutableContext: Assigns the parameter or expected value at the specified outcomeIndex the specified value.
setParams(String[]) - Statische Methode in Klasse opennlp.tools.util.TrainingParameters
setParent(Parse) - Methode in Klasse opennlp.tools.parser.Parse: Specifies the parent parse node for this constituent.
setParents(Parse) - Statische Methode in Klasse opennlp.tools.parser.AbstractBottomUpParser: Assigns parent references for the specified parse so that they are consistent with the children references.
setPrevPunctuation(Collection<Parse>) - Methode in Klasse opennlp.tools.parser.Parse: Sets the punctuation tags which precede this parse.
setPseudoGradAtNext(double[]) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setRoot(ADSentenceStream.SentenceParser.Node) - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.Sentence
setScoreMap(Map<String, Double>) - Methode in Klasse opennlp.tools.entitylinker.BaseLink
setSearchTerm(String) - Methode in Klasse opennlp.tools.entitylinker.LinkedSpan
setSecondaryTag(String) - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
setSentenceid(int) - Methode in Klasse opennlp.tools.entitylinker.LinkedSpan
setSignVector(double[]) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setSkippedAveraging(boolean) - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronTrainer: Enables skipped averaging, this flag changes the standard averaging to special averaging instead.
setSmoothing(boolean) - Methode in Klasse opennlp.tools.ml.maxent.GISTrainer: Sets whether this trainer will use smoothing while training the model.
setSmoothingObservation(double) - Methode in Klasse opennlp.tools.ml.maxent.GISTrainer: Sets whether this trainer will use smoothing while training the model.
setSpanType(String) - Methode in Klasse opennlp.tools.namefind.RegexNameFinder
setStart(int) - Methode in Klasse opennlp.tools.formats.ad.ADChunkSampleStream
setStepSize(double) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setStepSizeDecrease(double) - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronTrainer: Enables and sets step size decrease.
setSyntacticTag(String) - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
setTagDictionary(TagDictionary) - Methode in Klasse opennlp.tools.postag.POSTaggerFactory
setText(String) - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.Sentence
setTolerance(double) - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronTrainer: Specifies the tolerance.
setType(String) - Methode in Klasse opennlp.tools.parser.Parse: Set the type of this constituent to the specified type.
setValue(String, String) - Methode in Klasse opennlp.tools.dictionary.serializer.Attributes: Sets a key/value pair.
setValueAtCurr(double) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
setValueAtNext(double) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.LineSearch.LineSearchResult
SgmlParser - Klasse in opennlp.tools.formats.muc: SAX style SGML parser.
SgmlParser() - Konstruktor für Klasse opennlp.tools.formats.muc.SgmlParser
SgmlParser.ContentHandler - Klasse in opennlp.tools.formats.muc
show() - Methode in Klasse opennlp.tools.parser.Parse: Prints this parse using Penn Treebank-style formatting.
show(StringBuffer) - Methode in Klasse opennlp.tools.parser.Parse: Fills the specified StringBuffer with a string representation of this parse.
showCodeTree() - Methode in Klasse opennlp.tools.parser.Parse: Prints to standard out a representation of the specified parse which contains hash codes so that parent/child relationships can be explicitly seen.
ShrinkCharSequenceNormalizer - Klasse in opennlp.tools.util.normalizer: A ShrinkCharSequenceNormalizer implementation that shrinks repeated spaces / chars in text.
ShrinkCharSequenceNormalizer() - Konstruktor für Klasse opennlp.tools.util.normalizer.ShrinkCharSequenceNormalizer
SIGNATURE_CHUNKED_PARAMS - Statische Variable in Klasse opennlp.tools.ml.model.ModelParameterChunker
SimplePerceptronSequenceTrainer - Klasse in opennlp.tools.ml.perceptron: Trains models with sequences using the perceptron algorithm.
SimplePerceptronSequenceTrainer() - Konstruktor für Klasse opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer: Instantiates a SimplePerceptronSequenceTrainer with a default configuration of training parameters.
SimpleTokenizer - Klasse in opennlp.tools.tokenize: A basic Tokenizer implementation which performs tokenization using character classes.
SimpleTokenizerTool - Klasse in opennlp.tools.cmdline.tokenizer
SimpleTokenizerTool() - Konstruktor für Klasse opennlp.tools.cmdline.tokenizer.SimpleTokenizerTool
since() - Element in Annotationsschnittstellen opennlp.tools.commons.Internal: The OpenNLP release when an element was first declared internal.
since() - Element in Annotationsschnittstellen opennlp.tools.commons.ThreadSafe: The OpenNLP release when an element was first declared thread-safe.
size() - Methode in Klasse opennlp.tools.dictionary.Dictionary
size() - Methode in Klasse opennlp.tools.ngram.NGramCharModel: Retrieves the number of entries in a NGramCharModel.
size() - Methode in Klasse opennlp.tools.ngram.NGramModel: Retrieves the number of StringList entries in the current instance.
size() - Methode in Klasse opennlp.tools.util.StringList
size() - Methode in Schnittstelle opennlp.tools.util.wordvector.WordVectorTable
SnowballStemmer - Klasse in opennlp.tools.stemmer.snowball
SnowballStemmer(SnowballStemmer.ALGORITHM) - Konstruktor für Klasse opennlp.tools.stemmer.snowball.SnowballStemmer
SnowballStemmer(SnowballStemmer.ALGORITHM, int) - Konstruktor für Klasse opennlp.tools.stemmer.snowball.SnowballStemmer
SnowballStemmer.ALGORITHM - Enum-Klasse in opennlp.tools.stemmer.snowball
SORT_DEFAULT - Statische Variable in Klasse opennlp.tools.ml.model.AbstractDataIndexer
SORT_PARAM - Statische Variable in Klasse opennlp.tools.ml.model.AbstractDataIndexer
sortedScoreMap(String[]) - Methode in Schnittstelle opennlp.tools.doccat.DocumentCategorizer: Retrieves a SortedMap of the scores sorted in ascending order, together with their associated categories.
sortedScoreMap(String[]) - Methode in Klasse opennlp.tools.doccat.DocumentCategorizerME
SPA - Enum-Konstante in Enum-Klasse opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE
Span - Klasse in opennlp.tools.util: Class for storing start and end integer offsets.
Span(int, int) - Konstruktor für Klasse opennlp.tools.util.Span: Initializes a new Span.
Span(int, int, double) - Konstruktor für Klasse opennlp.tools.util.Span: Initializes a new Span.
Span(int, int, String) - Konstruktor für Klasse opennlp.tools.util.Span: Initializes a new Span.
Span(int, int, String, double) - Konstruktor für Klasse opennlp.tools.util.Span: Initializes a new Span.
Span(Span, double) - Konstruktor für Klasse opennlp.tools.util.Span: Creates a new immutable Span based on an existing Span, where the existing Span did not include the probability.
Span(Span, int) - Konstruktor für Klasse opennlp.tools.util.Span: Initializes a new Span with an existing Span which is shifted by an offset.
SPAN_TYPE - Statische Variable in Klasse opennlp.tools.formats.brat.AnnotationConfiguration
SpanAnnotation - Klasse in opennlp.tools.formats.brat
SPANISH - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
spanishStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
spanishStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.spanishStemmer
spansToStrings(Span[], CharSequence) - Statische Methode in Klasse opennlp.tools.util.Span: Converts an array of spans to an array of String.
spansToStrings(Span[], String[]) - Statische Methode in Klasse opennlp.tools.util.Span
SPLIT - Statische Variable in Klasse opennlp.tools.sentdetect.SentenceDetectorME: Constant indicates a sentence split.
SPLIT - Statische Variable in Klasse opennlp.tools.tokenize.TokenizerME: Constant indicates a token split.
START - Statische Variable in Klasse opennlp.tools.namefind.BilouCodec
START - Statische Variable in Klasse opennlp.tools.namefind.BioCodec
START - Statische Variable in Klasse opennlp.tools.namefind.NameFinderME
START - Statische Variable in Klasse opennlp.tools.parser.AbstractBottomUpParser: Prefix for outcomes starting a constituent.
START_TAG - Statische Variable in Klasse opennlp.tools.namefind.NameSampleDataStream
START_TAG_PREFIX - Statische Variable in Klasse opennlp.tools.namefind.NameSampleDataStream
startElement(String, String, String, Attributes) - Methode in Klasse opennlp.tools.formats.masc.MascNamedEntityParser
startElement(String, String, String, Attributes) - Methode in Klasse opennlp.tools.formats.masc.MascPennTagParser
startElement(String, Map<String, String>) - Methode in Klasse opennlp.tools.formats.muc.MucNameContentHandler
startElement(String, Map<String, String>) - Methode in Klasse opennlp.tools.formats.muc.SgmlParser.ContentHandler
startsWith(Span) - Methode in Klasse opennlp.tools.util.Span
stem() - Methode in Klasse opennlp.tools.stemmer.PorterStemmer: Stem the word placed into the Stemmer buffer through calls to add().
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.arabicStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.catalanStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.danishStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.dutchStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.englishStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.finnishStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.frenchStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.germanStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.greekStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.hungarianStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.indonesianStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.irishStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.italianStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.norwegianStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.porterStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.portugueseStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.romanianStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.russianStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.spanishStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.swedishStemmer
stem() - Methode in Klasse opennlp.tools.stemmer.snowball.turkishStemmer
stem(char[]) - Methode in Klasse opennlp.tools.stemmer.PorterStemmer: Stem a word contained in a char[].
stem(char[], int) - Methode in Klasse opennlp.tools.stemmer.PorterStemmer: Stem a word contained in a leading portion of a char[] array.
stem(char[], int, int) - Methode in Klasse opennlp.tools.stemmer.PorterStemmer: Stem a word contained in a portion of a char[] array.
stem(int) - Methode in Klasse opennlp.tools.stemmer.PorterStemmer
stem(CharSequence) - Methode in Klasse opennlp.tools.stemmer.PorterStemmer: Stem a word provided as a CharSequence.
stem(CharSequence) - Methode in Klasse opennlp.tools.stemmer.snowball.SnowballStemmer
stem(CharSequence) - Methode in Schnittstelle opennlp.tools.stemmer.Stemmer
stem(String) - Methode in Klasse opennlp.tools.stemmer.PorterStemmer: Stem a word provided as a String.
Stemmer - Schnittstelle in opennlp.tools.stemmer: The stemmer is reducing a word to its stem.
StringInterner - Schnittstelle in opennlp.tools.util.jvm: A marker-interface for a String interner implementation.
StringInterners - Klasse in opennlp.tools.util.jvm: Provides string interning utility methods.
StringInterners() - Konstruktor für Klasse opennlp.tools.util.jvm.StringInterners
StringList - Klasse in opennlp.tools.util: A StringList is an immutable list of Strings.
StringList(boolean, String...) - Konstruktor für Klasse opennlp.tools.util.StringList: Initializes a StringList instance.
StringList(String) - Konstruktor für Klasse opennlp.tools.util.StringList: Initializes a StringList instance.
StringList(String...) - Konstruktor für Klasse opennlp.tools.util.StringList: Initializes a StringList instance.
StringPattern - Klasse in opennlp.tools.util.featuregen: Recognizes predefined patterns in strings.
StringUtil - Klasse in opennlp.tools.util
StringUtil() - Konstruktor für Klasse opennlp.tools.util.StringUtil
substring_i - Variable in Klasse opennlp.tools.stemmer.snowball.Among
SuffixFeatureGenerator - Klasse in opennlp.tools.util.featuregen
SuffixFeatureGenerator() - Konstruktor für Klasse opennlp.tools.util.featuregen.SuffixFeatureGenerator
SuffixFeatureGenerator(int) - Konstruktor für Klasse opennlp.tools.util.featuregen.SuffixFeatureGenerator
SuffixFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
SuffixFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.SuffixFeatureGeneratorFactory
sumFeatures(Context[], float[], double[]) - Statische Methode in Klasse opennlp.tools.ml.ArrayMath
SWEDISH - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
swedishStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
swedishStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.swedishStemmer

T

tag() - Methode in Datensatzklasse opennlp.tools.util.TokenTag: Gibt den Wert für die Datensatzkomponente tag zurück.
tag(int, String[]) - Methode in Klasse opennlp.tools.postag.POSTaggerME: Returns at most the specified numTaggings for the specified sentence.
tag(String[]) - Methode in Schnittstelle opennlp.tools.postag.POSTagger: Assigns the sentence of tokens pos tags.
tag(String[]) - Methode in Klasse opennlp.tools.postag.POSTaggerME
tag(String[]) - Methode in Klasse opennlp.tools.postag.ThreadSafePOSTaggerME
tag(String[], Object[]) - Methode in Schnittstelle opennlp.tools.postag.POSTagger: Assigns the sentence of tokens pos tags.
tag(String[], Object[]) - Methode in Klasse opennlp.tools.postag.POSTaggerME
tag(String[], Object[]) - Methode in Klasse opennlp.tools.postag.ThreadSafePOSTaggerME
TAG - Enum-Konstante in Enum-Klasse opennlp.tools.parser.ParserEventTypeEnum: Veraltet.
TagDictionary - Schnittstelle in opennlp.tools.postag: Interface to determine which tags are valid for a particular word based on a tag dictionary.
TaggerModelReplacerTool - Klasse in opennlp.tools.cmdline.parser
TaggerModelReplacerTool() - Konstruktor für Klasse opennlp.tools.cmdline.parser.TaggerModelReplacerTool
thEosCharacters - Statische Variable in Klasse opennlp.tools.sentdetect.lang.Factory
THREADS_DEFAULT - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer
THREADS_PARAM - Statische Variable in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer
THREADS_PARAM - Statische Variable in Klasse opennlp.tools.util.TrainingParameters
ThreadSafe - Annotationsschnittstelle in opennlp.tools.commons: Classes, fields, or methods annotated @ThreadSafe are safe to use in multithreading contexts.
ThreadSafeLemmatizerME - Klasse in opennlp.tools.lemmatizer: A thread-safe version of the LemmatizerME.
ThreadSafeLemmatizerME(LemmatizerModel) - Konstruktor für Klasse opennlp.tools.lemmatizer.ThreadSafeLemmatizerME: Initializes a ThreadSafeLemmatizerME with the specified model.
ThreadSafeNameFinderME - Klasse in opennlp.tools.namefind: A thread-safe version of NameFinderME.
ThreadSafeNameFinderME(TokenNameFinderModel) - Konstruktor für Klasse opennlp.tools.namefind.ThreadSafeNameFinderME: Initializes a ThreadSafeNameFinderME with the specified model.
ThreadSafePOSTaggerME - Klasse in opennlp.tools.postag: A thread-safe version of the POSTaggerME.
ThreadSafePOSTaggerME(String) - Konstruktor für Klasse opennlp.tools.postag.ThreadSafePOSTaggerME: Initializes a ThreadSafePOSTaggerME by downloading a default model for a given language.
ThreadSafePOSTaggerME(String, POSTagFormat) - Konstruktor für Klasse opennlp.tools.postag.ThreadSafePOSTaggerME: Initializes a ThreadSafePOSTaggerME by downloading a default model for a given language.
ThreadSafePOSTaggerME(POSModel) - Konstruktor für Klasse opennlp.tools.postag.ThreadSafePOSTaggerME: Initializes a ThreadSafePOSTaggerME with the specified model.
ThreadSafePOSTaggerME(POSModel, POSTagFormat) - Konstruktor für Klasse opennlp.tools.postag.ThreadSafePOSTaggerME: Initializes a ThreadSafePOSTaggerME with the specified model.
ThreadSafeSentenceDetectorME - Klasse in opennlp.tools.sentdetect: A thread-safe version of SentenceDetectorME.
ThreadSafeSentenceDetectorME(String) - Konstruktor für Klasse opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME: Initializes a ThreadSafeSentenceDetectorME by downloading a default model for a given language.
ThreadSafeSentenceDetectorME(SentenceModel) - Konstruktor für Klasse opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME: Initializes a ThreadSafeSentenceDetectorME with the specified model.
ThreadSafeSentenceDetectorME(SentenceModel, Dictionary) - Konstruktor für Klasse opennlp.tools.sentdetect.ThreadSafeSentenceDetectorME: Instantiates a ThreadSafeSentenceDetectorME with an existing SentenceModel.
ThreadSafeTokenizerME - Klasse in opennlp.tools.tokenize: A thread-safe version of TokenizerME.
ThreadSafeTokenizerME(String) - Konstruktor für Klasse opennlp.tools.tokenize.ThreadSafeTokenizerME: Initializes a ThreadSafeTokenizerME by downloading a default model for a given language.
ThreadSafeTokenizerME(TokenizerModel) - Konstruktor für Klasse opennlp.tools.tokenize.ThreadSafeTokenizerME: Initializes a ThreadSafeTokenizerME with the specified model.
ThreadSafeTokenizerME(TokenizerModel, Dictionary) - Konstruktor für Klasse opennlp.tools.tokenize.ThreadSafeTokenizerME: Instantiates a ThreadSafeTokenizerME with an existing TokenizerModel.
toCaseInsensitive() - Methode in Klasse opennlp.tools.util.StringList
toCaseSensitive() - Methode in Klasse opennlp.tools.util.StringList
toContraction(String, String) - Statische Methode in Klasse opennlp.tools.formats.ad.PortugueseContractionUtility: Merges a contraction.
toDictionary() - Methode in Klasse opennlp.tools.ngram.NGramModel: Creates a dictionary which contain all StringList which are in the current NGramModel.
toDictionary(boolean) - Methode in Klasse opennlp.tools.ngram.NGramModel: Creates a dictionary which contains all StringLists which are in the current NGramModel.
toDoubleArray(List<Double>) - Statische Methode in Klasse opennlp.tools.ml.ArrayMath: Convert a list of Double objects into an array of primitive doubles.
toDoubleBuffer() - Methode in Schnittstelle opennlp.tools.util.wordvector.WordVector
toFloatBuffer() - Methode in Schnittstelle opennlp.tools.util.wordvector.WordVector
toIntArray(List<Integer>) - Statische Methode in Klasse opennlp.tools.ml.ArrayMath: Convert a list of Integer objects into an array of primitive integers.
TOK_NODE - Statische Variable in Klasse opennlp.tools.parser.AbstractBottomUpParser: The label for a token node.
token() - Methode in Datensatzklasse opennlp.tools.util.TokenTag: Gibt den Wert für die Datensatzkomponente token zurück.
TokenClassFeatureGenerator - Klasse in opennlp.tools.util.featuregen: Generates features for the class of the token.
TokenClassFeatureGenerator() - Konstruktor für Klasse opennlp.tools.util.featuregen.TokenClassFeatureGenerator
TokenClassFeatureGenerator(boolean) - Konstruktor für Klasse opennlp.tools.util.featuregen.TokenClassFeatureGenerator
TokenClassFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
TokenClassFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.TokenClassFeatureGeneratorFactory
TokenContextGenerator - Schnittstelle in opennlp.tools.tokenize: Interface for context generators required for TokenizerME.
TokenEvaluationErrorListener - Klasse in opennlp.tools.cmdline.tokenizer: A default implementation of EvaluationMonitor that prints to an output stream.
TokenEvaluationErrorListener() - Konstruktor für Klasse opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener: Creates a listener that will print to the configured logger.
TokenEvaluationErrorListener(OutputStream) - Konstruktor für Klasse opennlp.tools.cmdline.tokenizer.TokenEvaluationErrorListener: Creates a listener that will print to a given OutputStream.
tokenFeature(String) - Statische Methode in Klasse opennlp.tools.util.featuregen.FeatureGeneratorUtil: Generates a class name for the specified token.
TokenFeatureGenerator - Klasse in opennlp.tools.util.featuregen: Generates a feature which contains the token itself.
TokenFeatureGenerator() - Konstruktor für Klasse opennlp.tools.util.featuregen.TokenFeatureGenerator: Initializes a TokenFeatureGenerator.
TokenFeatureGenerator(boolean) - Konstruktor für Klasse opennlp.tools.util.featuregen.TokenFeatureGenerator: Initializes a TokenFeatureGenerator.
TokenFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
TokenFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.TokenFeatureGeneratorFactory
tokenize(String) - Methode in Klasse opennlp.tools.tokenize.SimpleTokenizer
tokenize(String) - Methode in Klasse opennlp.tools.tokenize.TokenizerME
tokenize(String) - Methode in Klasse opennlp.tools.tokenize.WhitespaceTokenizer
tokenize(String) - Methode in Klasse opennlp.tools.tokenize.ThreadSafeTokenizerME
tokenize(String) - Methode in Schnittstelle opennlp.tools.tokenize.Tokenizer: Splits a string into its atomic parts.
tokenize(String) - Methode in Klasse opennlp.tools.tokenize.WordpieceTokenizer
tokenizePos(String) - Methode in Klasse opennlp.tools.tokenize.SimpleTokenizer
tokenizePos(String) - Methode in Klasse opennlp.tools.tokenize.ThreadSafeTokenizerME
tokenizePos(String) - Methode in Schnittstelle opennlp.tools.tokenize.Tokenizer: Finds the boundaries of atomic parts in a string.
tokenizePos(String) - Methode in Klasse opennlp.tools.tokenize.TokenizerME: Tokenizes the string.
tokenizePos(String) - Methode in Klasse opennlp.tools.tokenize.WhitespaceTokenizer
tokenizePos(String) - Methode in Klasse opennlp.tools.tokenize.WordpieceTokenizer
Tokenizer - Schnittstelle in opennlp.tools.tokenize: The interface for tokenizers, which segment a string into its tokens.
TOKENIZER - Enum-Konstante in Enum-Klasse opennlp.tools.util.DownloadUtil.ModelType
TokenizerConverterTool - Klasse in opennlp.tools.cmdline.tokenizer: Tool to convert multiple data formats into native OpenNLP sentence detector training format.
TokenizerConverterTool() - Konstruktor für Klasse opennlp.tools.cmdline.tokenizer.TokenizerConverterTool
TokenizerCrossValidator - Klasse in opennlp.tools.tokenize: A cross validator for tokenizers.
TokenizerCrossValidator(TrainingParameters, TokenizerFactory, TokenizerEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.tokenize.TokenizerCrossValidator: Creates a TokenizerCrossValidator using the given TokenizerFactory.
TokenizerCrossValidatorTool - Klasse in opennlp.tools.cmdline.tokenizer
TokenizerCrossValidatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.tokenizer.TokenizerCrossValidatorTool
TokenizerEvaluationMonitor - Schnittstelle in opennlp.tools.tokenize: A marker interface for evaluating tokenizers.
TokenizerEvaluator - Klasse in opennlp.tools.tokenize: The TokenizerEvaluator measures the performance of the given Tokenizer with the provided reference samples.
TokenizerEvaluator(Tokenizer, TokenizerEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.tokenize.TokenizerEvaluator: Initializes an instance to evaluate a Tokenizer.
TokenizerFactory - Klasse in opennlp.tools.tokenize: The factory that provides Tokenizer default implementation and resources.
TokenizerFactory() - Konstruktor für Klasse opennlp.tools.tokenize.TokenizerFactory: Instantiates a TokenizerFactory that provides the default implementation of the resources.
TokenizerFactory(String, Dictionary, boolean, Pattern) - Konstruktor für Klasse opennlp.tools.tokenize.TokenizerFactory: Instantiates a TokenizerFactory.
TokenizerME - Klasse in opennlp.tools.tokenize: A Tokenizer for converting raw text into separated tokens.
TokenizerME(String) - Konstruktor für Klasse opennlp.tools.tokenize.TokenizerME: Initializes a TokenizerME by downloading a default model.
TokenizerME(TokenizerModel) - Konstruktor für Klasse opennlp.tools.tokenize.TokenizerME: Instantiates a TokenizerME with an existing TokenizerModel.
TokenizerME(TokenizerModel, Dictionary) - Konstruktor für Klasse opennlp.tools.tokenize.TokenizerME: Instantiates a TokenizerME with an existing TokenizerModel.
TokenizerMEEvaluatorTool - Klasse in opennlp.tools.cmdline.tokenizer: A default TokenSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.
TokenizerMEEvaluatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.tokenizer.TokenizerMEEvaluatorTool
TokenizerMETool - Klasse in opennlp.tools.cmdline.tokenizer
TokenizerMETool() - Konstruktor für Klasse opennlp.tools.cmdline.tokenizer.TokenizerMETool
TokenizerModel - Klasse in opennlp.tools.tokenize: The TokenizerModel is the model used by a learnable Tokenizer.
TokenizerModel(File) - Konstruktor für Klasse opennlp.tools.tokenize.TokenizerModel: Initializes a TokenizerModel instance via a valid File.
TokenizerModel(InputStream) - Konstruktor für Klasse opennlp.tools.tokenize.TokenizerModel: Initializes a TokenizerModel instance via a valid InputStream.
TokenizerModel(URL) - Konstruktor für Klasse opennlp.tools.tokenize.TokenizerModel: Initializes a TokenizerModel instance via a valid URL.
TokenizerModel(Path) - Konstruktor für Klasse opennlp.tools.tokenize.TokenizerModel: Initializes a TokenizerModel instance via a valid Path.
TokenizerModel(MaxentModel, Map<String, String>, TokenizerFactory) - Konstruktor für Klasse opennlp.tools.tokenize.TokenizerModel: Initializes a TokenizerModel instance via a MaxentModel and related resources.
TokenizerModelLoader - Klasse in opennlp.tools.cmdline.tokenizer: Loads a TokenizerModel for the command line tools.
TokenizerModelLoader() - Konstruktor für Klasse opennlp.tools.cmdline.tokenizer.TokenizerModelLoader
TokenizerStream - Klasse in opennlp.tools.tokenize: The TokenizerStream uses a Tokenizer to tokenize the input string and output samples.
TokenizerStream(Tokenizer, ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.tokenize.TokenizerStream: Initializes a instance.
TokenizerTrainerTool - Klasse in opennlp.tools.cmdline.tokenizer
TokenizerTrainerTool() - Konstruktor für Klasse opennlp.tools.cmdline.tokenizer.TokenizerTrainerTool
TokenNameFinder - Schnittstelle in opennlp.tools.namefind: The interface for name finders which provide name tags for a sequence of tokens.
TokenNameFinderConverterTool - Klasse in opennlp.tools.cmdline.namefind: Tool to convert multiple data formats into native OpenNLP name finder training format.
TokenNameFinderConverterTool() - Konstruktor für Klasse opennlp.tools.cmdline.namefind.TokenNameFinderConverterTool
TokenNameFinderCrossValidator - Klasse in opennlp.tools.namefind: Cross validator for TokenNameFinder.
TokenNameFinderCrossValidator(String, String, TrainingParameters, byte[], Map<String, Object>, TokenNameFinderEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.namefind.TokenNameFinderCrossValidator: Initializes a TokenNameFinderCrossValidator with the given parameters.
TokenNameFinderCrossValidator(String, String, TrainingParameters, byte[], Map<String, Object>, SequenceCodec<String>, TokenNameFinderEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.namefind.TokenNameFinderCrossValidator: Initializes a TokenNameFinderCrossValidator with the given parameters.
TokenNameFinderCrossValidator(String, String, TrainingParameters, TokenNameFinderFactory, TokenNameFinderEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.namefind.TokenNameFinderCrossValidator: Initializes a TokenNameFinderCrossValidator with the given parameters.
TokenNameFinderCrossValidatorTool - Klasse in opennlp.tools.cmdline.namefind
TokenNameFinderCrossValidatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.namefind.TokenNameFinderCrossValidatorTool
TokenNameFinderDetailedFMeasureListener - Klasse in opennlp.tools.cmdline.namefind
TokenNameFinderDetailedFMeasureListener() - Konstruktor für Klasse opennlp.tools.cmdline.namefind.TokenNameFinderDetailedFMeasureListener
TokenNameFinderEvaluationMonitor - Schnittstelle in opennlp.tools.namefind: A marker interface for evaluating name finders.
TokenNameFinderEvaluator - Klasse in opennlp.tools.namefind: The TokenNameFinderEvaluator measures the performance of the given TokenNameFinder with the provided reference samples.
TokenNameFinderEvaluator(TokenNameFinder, TokenNameFinderEvaluationMonitor...) - Konstruktor für Klasse opennlp.tools.namefind.TokenNameFinderEvaluator: Initializes a TokenNameFinderEvaluator for a given TokenNameFinder.
TokenNameFinderEvaluatorTool - Klasse in opennlp.tools.cmdline.namefind: A default NameSample-centric implementation of AbstractEvaluatorTool that prints to an output stream.
TokenNameFinderEvaluatorTool() - Konstruktor für Klasse opennlp.tools.cmdline.namefind.TokenNameFinderEvaluatorTool
TokenNameFinderFactory - Klasse in opennlp.tools.namefind: The factory that provides TokenNameFinder default implementations and resources.
TokenNameFinderFactory() - Konstruktor für Klasse opennlp.tools.namefind.TokenNameFinderFactory: Initializes a TokenNameFinderFactory that provides the default implementation of the resources.
TokenNameFinderFactory(byte[], Map<String, Object>, SequenceCodec<String>) - Konstruktor für Klasse opennlp.tools.namefind.TokenNameFinderFactory: Initializes a TokenNameFinderFactory instance via given parameters.
TokenNameFinderFineGrainedReportListener - Klasse in opennlp.tools.cmdline.namefind: Generates a detailed report for the NameFinder.
TokenNameFinderFineGrainedReportListener(SequenceCodec<String>) - Konstruktor für Klasse opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener: Creates a listener that will print to the configured logger.
TokenNameFinderFineGrainedReportListener(SequenceCodec<String>, OutputStream) - Konstruktor für Klasse opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener: Creates a listener that prints to a given OutputStream.
TokenNameFinderModel - Klasse in opennlp.tools.namefind: The TokenNameFinderModel is the model used by a learnable TokenNameFinder.
TokenNameFinderModel(File) - Konstruktor für Klasse opennlp.tools.namefind.TokenNameFinderModel: Initializes a TokenNameFinderModel instance via a valid File.
TokenNameFinderModel(InputStream) - Konstruktor für Klasse opennlp.tools.namefind.TokenNameFinderModel: Initializes a TokenNameFinderModel instance via a valid InputStream.
TokenNameFinderModel(String, MaxentModel, byte[], Map<String, Object>, Map<String, String>) - Konstruktor für Klasse opennlp.tools.namefind.TokenNameFinderModel: Initializes a TokenNameFinderModel instance via given parameters.
TokenNameFinderModel(String, MaxentModel, int, byte[], Map<String, Object>, Map<String, String>) - Konstruktor für Klasse opennlp.tools.namefind.TokenNameFinderModel: Initializes a TokenNameFinderModel instance via given parameters.
TokenNameFinderModel(String, MaxentModel, int, byte[], Map<String, Object>, Map<String, String>, SequenceCodec<String>, TokenNameFinderFactory) - Konstruktor für Klasse opennlp.tools.namefind.TokenNameFinderModel: Initializes a TokenNameFinderModel instance via given parameters.
TokenNameFinderModel(String, MaxentModel, Map<String, Object>, Map<String, String>) - Konstruktor für Klasse opennlp.tools.namefind.TokenNameFinderModel: Initializes a TokenNameFinderModel instance via given parameters.
TokenNameFinderModel(String, SequenceClassificationModel, byte[], Map<String, Object>, Map<String, String>, SequenceCodec<String>, TokenNameFinderFactory) - Konstruktor für Klasse opennlp.tools.namefind.TokenNameFinderModel: Initializes a TokenNameFinderModel instance via given parameters.
TokenNameFinderModel(URL) - Konstruktor für Klasse opennlp.tools.namefind.TokenNameFinderModel: Initializes a TokenNameFinderModel instance via a valid URL.
TokenNameFinderModel(Path) - Konstruktor für Klasse opennlp.tools.namefind.TokenNameFinderModel: Initializes a TokenNameFinderModel instance via a valid Path.
TokenNameFinderModel.FeatureGeneratorCreationError - Ausnahmeklasse in opennlp.tools.namefind
TokenNameFinderModelLoader - Klasse in opennlp.tools.cmdline.namefind: Loads a TokenNameFinderModel for the command line tools.
TokenNameFinderModelLoader() - Konstruktor für Klasse opennlp.tools.cmdline.namefind.TokenNameFinderModelLoader
TokenNameFinderTool - Klasse in opennlp.tools.cmdline.namefind
TokenNameFinderTool() - Konstruktor für Klasse opennlp.tools.cmdline.namefind.TokenNameFinderTool
TokenNameFinderTrainerTool - Klasse in opennlp.tools.cmdline.namefind
TokenNameFinderTrainerTool() - Konstruktor für Klasse opennlp.tools.cmdline.namefind.TokenNameFinderTrainerTool
TokenPatternFeatureGenerator - Klasse in opennlp.tools.util.featuregen: Partitions tokens into sub-tokens based on character classes and generates class features for each of the sub-tokens and combinations of those sub-tokens.
TokenPatternFeatureGenerator() - Konstruktor für Klasse opennlp.tools.util.featuregen.TokenPatternFeatureGenerator: Initializes a TokenPatternFeatureGenerator.
TokenPatternFeatureGenerator(Tokenizer) - Konstruktor für Klasse opennlp.tools.util.featuregen.TokenPatternFeatureGenerator: Initializes a TokenPatternFeatureGenerator instance.
TokenPatternFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
TokenPatternFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.TokenPatternFeatureGeneratorFactory
tokens() - Methode in Datensatzklasse opennlp.tools.dictionary.serializer.Entry: Gibt den Wert für die Datensatzkomponente tokens zurück.
tokens() - Methode in Schnittstelle opennlp.tools.util.wordvector.WordVectorTable
TokenSample - Klasse in opennlp.tools.tokenize: A TokenSample is text with token spans.
TokenSample(String, Span[]) - Konstruktor für Klasse opennlp.tools.tokenize.TokenSample: Initializes a instance.
TokenSample(Detokenizer, String[]) - Konstruktor für Klasse opennlp.tools.tokenize.TokenSample: Initializes a instance via a Detokenizer.
TokenSampleStream - Klasse in opennlp.tools.tokenize.lang.en: Class which produces an Iterator<TokenSample> from a file of space delimited token.
TokenSampleStream - Klasse in opennlp.tools.tokenize: This class is a stream filter which reads in string encoded samples and creates samples out of them.
TokenSampleStream(InputStream) - Konstruktor für Klasse opennlp.tools.tokenize.lang.en.TokenSampleStream
TokenSampleStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.tokenize.TokenSampleStream: Initializes a instance.
TokenSampleStream(ObjectStream<String>, String) - Konstruktor für Klasse opennlp.tools.tokenize.TokenSampleStream: Initializes a instance.
TokenSampleStreamFactory - Klasse in opennlp.tools.formats: Factory producing OpenNLP TokenSampleStreams.
TokenTag - Datensatzklasse in opennlp.tools.util
TokenTag(String, String, String[]) - Konstruktor für Datensatzklasse opennlp.tools.util.TokenTag: Erstellt eine Instanz einer Datensatzklasse TokenTag.
TokSpanEventStream - Klasse in opennlp.tools.tokenize: This class reads the samples via an Iterator and converts the samples into events which can be used by the maxent library for training.
TokSpanEventStream(ObjectStream<TokenSample>, boolean) - Konstruktor für Klasse opennlp.tools.tokenize.TokSpanEventStream: Initializes a new event stream based on the data stream using a TokenContextGenerator that relies on a DefaultTokenContextGenerator.
TokSpanEventStream(ObjectStream<TokenSample>, boolean, Pattern, TokenContextGenerator) - Konstruktor für Klasse opennlp.tools.tokenize.TokSpanEventStream: Initializes a new event stream based on the data stream using a TokenContextGenerator.
TokSpanEventStream(ObjectStream<TokenSample>, boolean, TokenContextGenerator) - Konstruktor für Klasse opennlp.tools.tokenize.TokSpanEventStream: Initializes a new event stream based on the data stream using a TokenContextGenerator.
TOLERANCE_DEFAULT - Statische Variable in Klasse opennlp.tools.ml.perceptron.PerceptronTrainer
toLine(Event) - Statische Methode in Klasse opennlp.tools.ml.model.FileEventStream: Generates a string representing the specified event.
toLowerCase(CharSequence) - Statische Methode in Klasse opennlp.tools.util.StringUtil: Converts a CharSequence to lower case, independent of the current Locale via Character.toLowerCase(int) which uses mapping information from the UnicodeData file.
toLowerCaseCharBuffer(CharSequence) - Statische Methode in Klasse opennlp.tools.util.StringUtil
TOP_NODE - Statische Variable in Klasse opennlp.tools.parser.AbstractBottomUpParser: The label for the top node.
topKLemmaClasses(String[], String[]) - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerME
topKLemmaClasses(String[], String[], double) - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerME
topKSequences(String[]) - Methode in Schnittstelle opennlp.tools.postag.POSTagger: Assigns the sentence the top-k sequences.
topKSequences(String[]) - Methode in Klasse opennlp.tools.postag.POSTaggerME
topKSequences(String[]) - Methode in Klasse opennlp.tools.postag.ThreadSafePOSTaggerME
topKSequences(String[], Object[]) - Methode in Schnittstelle opennlp.tools.postag.POSTagger: Assigns the sentence the top-k sequences.
topKSequences(String[], Object[]) - Methode in Klasse opennlp.tools.postag.POSTaggerME
topKSequences(String[], Object[]) - Methode in Klasse opennlp.tools.postag.ThreadSafePOSTaggerME
topKSequences(String[], String[]) - Methode in Schnittstelle opennlp.tools.chunker.Chunker: Computes the top k chunk sequences for the specified sentence with the specified pos-tags.
topKSequences(String[], String[]) - Methode in Klasse opennlp.tools.chunker.ChunkerME
topKSequences(String[], String[]) - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerME
topKSequences(String[], String[], double) - Methode in Schnittstelle opennlp.tools.chunker.Chunker: Computes the top k chunk sequences for the specified sentence with the specified pos-tags.
topKSequences(String[], String[], double) - Methode in Klasse opennlp.tools.chunker.ChunkerME
topKSequences(String[], String[], double) - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerME
toSpan() - Methode in Klasse opennlp.tools.formats.nkjp.NKJPSegmentationDocument.Pointer
toString() - Methode in Klasse opennlp.tools.chunker.ChunkSample
toString() - Methode in Klasse opennlp.tools.dictionary.Dictionary
toString() - Methode in Datensatzklasse opennlp.tools.dictionary.serializer.Entry: Gibt eine Zeichenfolgendarstellung dieser Datensatzklasse zurück.
toString() - Methode in Klasse opennlp.tools.doccat.DocumentCategorizerEvaluator: Represents this object as human-readable String.
toString() - Methode in Klasse opennlp.tools.doccat.DocumentSample
toString() - Methode in Klasse opennlp.tools.entitylinker.BaseLink
toString() - Methode in Klasse opennlp.tools.entitylinker.LinkedSpan
toString() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Leaf
toString() - Methode in Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.Node
toString() - Methode in Klasse opennlp.tools.formats.brat.AttributeAnnotation
toString() - Methode in Klasse opennlp.tools.formats.brat.BratAnnotation
toString() - Methode in Klasse opennlp.tools.formats.brat.RelationAnnotation
toString() - Methode in Klasse opennlp.tools.formats.brat.SpanAnnotation
toString() - Methode in Klasse opennlp.tools.formats.nkjp.NKJPSegmentationDocument.Pointer
toString() - Methode in Klasse opennlp.tools.langdetect.Language
toString() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorEvaluator: Represents this object as human-readable String.
toString() - Methode in Datensatzklasse opennlp.tools.langdetect.LanguageSample: Gibt eine Zeichenfolgendarstellung dieser Datensatzklasse zurück.
toString() - Methode in Datensatzklasse opennlp.tools.langdetect.ProbingLanguageDetectionResult: Gibt eine Zeichenfolgendarstellung dieser Datensatzklasse zurück.
toString() - Methode in Klasse opennlp.tools.lemmatizer.LemmaSample
toString() - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerEvaluator: Returns this object's human-readable String representation.
toString() - Methode in Klasse opennlp.tools.ml.model.ComparableEvent
toString() - Methode in Klasse opennlp.tools.ml.model.ComparablePredicate
toString() - Methode in Klasse opennlp.tools.ml.model.Event
toString() - Methode in Klasse opennlp.tools.ml.naivebayes.LogProbability
toString() - Methode in Klasse opennlp.tools.ml.naivebayes.Probabilities
toString() - Methode in Klasse opennlp.tools.ml.naivebayes.Probability
toString() - Methode in Klasse opennlp.tools.namefind.NameSample
toString() - Methode in Klasse opennlp.tools.ngram.NGramCharModel
toString() - Methode in Klasse opennlp.tools.ngram.NGramModel
toString() - Methode in Klasse opennlp.tools.parser.Parse: Represents this Parse in a human-readable way.
toString() - Methode in Klasse opennlp.tools.postag.POSDictionary
toString() - Methode in Klasse opennlp.tools.postag.POSEvaluator: Represents this object as human-readable String.
toString() - Methode in Klasse opennlp.tools.postag.POSSample
toString() - Methode in Klasse opennlp.tools.sentdetect.SentenceSample
toString() - Methode in Klasse opennlp.tools.stemmer.PorterStemmer: After a word has been stemmed, it can be retrieved by toString(), or a reference to the internal buffer can be retrieved by getResultBuffer and getResultLength (which is generally more efficient.)
toString() - Methode in Klasse opennlp.tools.tokenize.TokenSample
toString() - Methode in Klasse opennlp.tools.util.eval.CrossValidationPartitioner
toString() - Methode in Klasse opennlp.tools.util.eval.FMeasure
toString() - Methode in Klasse opennlp.tools.util.eval.Mean
toString() - Methode in Klasse opennlp.tools.util.featuregen.CachedFeatureGenerator
toString() - Methode in Klasse opennlp.tools.util.featuregen.WindowFeatureGenerator
toString() - Methode in Klasse opennlp.tools.util.Sequence
toString() - Methode in Klasse opennlp.tools.util.Span
toString() - Methode in Klasse opennlp.tools.util.StringList
toString() - Methode in Datensatzklasse opennlp.tools.util.TokenTag: Gibt eine Zeichenfolgendarstellung dieser Datensatzklasse zurück.
toString() - Methode in Klasse opennlp.tools.util.Version: The Version.parse(String) method can create an instance of Version with the returned version value string.
toStringPennTreebank() - Methode in Klasse opennlp.tools.parser.Parse
toUpperCase(CharSequence) - Statische Methode in Klasse opennlp.tools.util.StringUtil: Converts a CharSequence to upper case, independent of the current Locale via Character.toUpperCase(char) which uses mapping information from the UnicodeData file.
train(String, String, ObjectStream<NameSample>, TrainingParameters, TokenNameFinderFactory) - Statische Methode in Klasse opennlp.tools.namefind.NameFinderME: Starts a training of a TokenNameFinderModel with the given parameters.
train(String, ObjectStream<ChunkSample>, TrainingParameters, ChunkerFactory) - Statische Methode in Klasse opennlp.tools.chunker.ChunkerME: Starts a training of a ChunkerModel with the given parameters.
train(String, ObjectStream<DocumentSample>, TrainingParameters, DoccatFactory) - Statische Methode in Klasse opennlp.tools.doccat.DocumentCategorizerME: Starts a training of a DoccatModel with the given parameters.
train(String, ObjectStream<LemmaSample>, TrainingParameters, LemmatizerFactory) - Statische Methode in Klasse opennlp.tools.lemmatizer.LemmatizerME: Starts a training of a LemmatizerModel with the given parameters.
train(String, ObjectStream<Parse>, HeadRules, int, int) - Statische Methode in Klasse opennlp.tools.parser.treeinsert.Parser: Starts a training of a ParserModel.
train(String, ObjectStream<Parse>, HeadRules, TrainingParameters) - Statische Methode in Klasse opennlp.tools.parser.chunking.Parser: Starts a training of a ParserModel.
train(String, ObjectStream<Parse>, HeadRules, TrainingParameters) - Statische Methode in Klasse opennlp.tools.parser.treeinsert.Parser: Starts a training of a ParserModel.
train(String, ObjectStream<POSSample>, TrainingParameters, POSTaggerFactory) - Statische Methode in Klasse opennlp.tools.postag.POSTaggerME
train(String, ObjectStream<SentenceSample>, SentenceDetectorFactory, TrainingParameters) - Statische Methode in Klasse opennlp.tools.sentdetect.SentenceDetectorME: Starts a training of a SentenceModel with the given parameters.
train(DataIndexer) - Methode in Klasse opennlp.tools.ml.AbstractEventTrainer
train(DataIndexer) - Methode in Schnittstelle opennlp.tools.ml.EventTrainer: Trains a MaxentModel for given events.
train(SequenceStream<Event>) - Methode in Klasse opennlp.tools.ml.AbstractEventModelSequenceTrainer
train(SequenceStream<T>) - Methode in Schnittstelle opennlp.tools.ml.EventModelSequenceTrainer: Trains a MaxentModel for given events.
train(SequenceStream<T>) - Methode in Schnittstelle opennlp.tools.ml.SequenceTrainer: Trains a SequenceClassificationModel for given events.
train(ObjectStream<LanguageSample>, TrainingParameters, LanguageDetectorFactory) - Statische Methode in Klasse opennlp.tools.langdetect.LanguageDetectorME: Starts a training of a LanguageDetectorModel with the given parameters.
train(ObjectStream<Event>) - Methode in Klasse opennlp.tools.ml.AbstractEventTrainer
train(ObjectStream<Event>) - Methode in Schnittstelle opennlp.tools.ml.EventTrainer: Trains a MaxentModel for given events.
train(ObjectStream<TokenSample>, TokenizerFactory, TrainingParameters) - Statische Methode in Klasse opennlp.tools.tokenize.TokenizerME: Trains a model for the TokenizerME.
Trainer - Schnittstelle in opennlp.tools.commons: Represents a common base for training implementations.
TRAINER_TYPE_PARAM - Statische Variable in Klasse opennlp.tools.util.TrainingParameters
TrainerFactory - Klasse in opennlp.tools.ml: A factory to initialize Trainer instances depending on a trainer type configured via TrainingParameters.
TrainerFactory() - Konstruktor für Klasse opennlp.tools.ml.TrainerFactory
TrainerFactory.TrainerType - Enum-Klasse in opennlp.tools.ml
TRAINING_CUTOFF_PROPERTY - Statische Variable in Klasse opennlp.tools.util.model.BaseModel
TRAINING_EVENTHASH_PROPERTY - Statische Variable in Klasse opennlp.tools.util.model.BaseModel
TRAINING_ITERATIONS_PROPERTY - Statische Variable in Klasse opennlp.tools.util.model.BaseModel
TrainingParameters - Klasse in opennlp.tools.util: Declares and handles default parameters used for or during training models.
TrainingParameters() - Konstruktor für Klasse opennlp.tools.util.TrainingParameters: No-arg constructor to create a default TrainingParameters instance.
TrainingParameters(InputStream) - Konstruktor für Klasse opennlp.tools.util.TrainingParameters: InputStream based constructor that reads in TrainingParameters.
TrainingParameters(Map<String, Object>) - Konstruktor für Klasse opennlp.tools.util.TrainingParameters: Key-value based constructor to apply a Map based configuration initialization.
TrainingParameters(TrainingParameters) - Konstruktor für Klasse opennlp.tools.util.TrainingParameters: Copy constructor to hand over the config of existing TrainingParameters.
TrainingToolParams - Schnittstelle in opennlp.tools.cmdline.params: Common training parameters.
trainModel(int, DataIndexer) - Methode in Klasse opennlp.tools.ml.maxent.GISTrainer: Trains a model using the GIS algorithm.
trainModel(int, DataIndexer) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer: Trains a model using the QN algorithm.
trainModel(int, DataIndexer, int) - Methode in Klasse opennlp.tools.ml.maxent.GISTrainer: Trains a model using the GIS algorithm.
trainModel(int, DataIndexer, int) - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronTrainer: Trains a PerceptronModel with given parameters.
trainModel(int, DataIndexer, int, boolean) - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronTrainer: Trains a PerceptronModel with given parameters.
trainModel(int, DataIndexer, Prior, int) - Methode in Klasse opennlp.tools.ml.maxent.GISTrainer: Trains a model using the GIS algorithm.
trainModel(int, SequenceStream<Event>, int, boolean) - Methode in Klasse opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer: Trains a PerceptronModel with given parameters.
trainModel(DataIndexer) - Methode in Klasse opennlp.tools.ml.naivebayes.NaiveBayesTrainer: Trains a NaiveBayesModel with given parameters.
trainModel(ObjectStream<Event>) - Methode in Klasse opennlp.tools.ml.maxent.GISTrainer: Trains a model using the GIS algorithm, assuming 100 iterations and no cutoff.
trainModel(ObjectStream<Event>, int, int) - Methode in Klasse opennlp.tools.ml.maxent.GISTrainer: Trains a GIS model on the event in the specified event stream, using the specified number of iterations and the specified count cutoff.
TreeElement() - Konstruktor für Klasse opennlp.tools.formats.ad.ADSentenceStream.SentenceParser.TreeElement
TREEINSERT - Enum-Konstante in Enum-Klasse opennlp.tools.parser.ParserType
TrigramNameFeatureGenerator - Klasse in opennlp.tools.util.featuregen: Adds trigram features based on tokens and token classes.
TrigramNameFeatureGenerator() - Konstruktor für Klasse opennlp.tools.util.featuregen.TrigramNameFeatureGenerator
TrigramNameFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
TrigramNameFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.TrigramNameFeatureGeneratorFactory
trim(CharSequence) - Methode in Klasse opennlp.tools.util.Span
TURKISH - Enum-Konstante in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM
turkishStemmer - Klasse in opennlp.tools.stemmer.snowball: This class implements the stemming algorithm defined by a snowball script.
turkishStemmer() - Konstruktor für Klasse opennlp.tools.stemmer.snowball.turkishStemmer
TwentyNewsgroupSampleStream - Klasse in opennlp.tools.formats
TwentyNewsgroupSampleStreamFactory - Klasse in opennlp.tools.formats
TwitterCharSequenceNormalizer - Klasse in opennlp.tools.util.normalizer: A TwitterCharSequenceNormalizer implementation that normalizes text in terms of Twitter character patterns.
TwitterCharSequenceNormalizer() - Konstruktor für Klasse opennlp.tools.util.normalizer.TwitterCharSequenceNormalizer
TwoPassDataIndexer - Klasse in opennlp.tools.ml.model: Collecting event and context counts by making two passes over the events.
TwoPassDataIndexer() - Konstruktor für Klasse opennlp.tools.ml.model.TwoPassDataIndexer

U

U - Enum-Konstante in Enum-Klasse opennlp.tools.formats.conllu.ConlluTagset
UD - Enum-Konstante in Enum-Klasse opennlp.tools.postag.POSTagFormat
UncloseableInputStream - Klasse in opennlp.tools.util.model: An InputStream which cannot be closed.
UncloseableInputStream(InputStream) - Konstruktor für Klasse opennlp.tools.util.model.UncloseableInputStream
UniformPrior - Klasse in opennlp.tools.ml.model: Provide a maximum entropy model with a uniform Prior.
UniformPrior() - Konstruktor für Klasse opennlp.tools.ml.model.UniformPrior
UNIT - Statische Variable in Klasse opennlp.tools.namefind.BilouCodec
UNKNOWN - Enum-Konstante in Enum-Klasse opennlp.tools.postag.POSTagFormat
updateAdaptiveData(String[], String[]) - Methode in Klasse opennlp.tools.namefind.DefaultNameContextGenerator
updateAdaptiveData(String[], String[]) - Methode in Schnittstelle opennlp.tools.namefind.NameContextGenerator: Informs all the feature generators that the specified tokens have been classified with the corresponds set of specified outcomes.
updateAdaptiveData(String[], String[]) - Methode in Schnittstelle opennlp.tools.util.featuregen.AdaptiveFeatureGenerator: Informs a feature generator that the specified tokens have been classified with the corresponding set of specified outcomes.
updateAdaptiveData(String[], String[]) - Methode in Klasse opennlp.tools.util.featuregen.AggregatedFeatureGenerator: Calls the AdaptiveFeatureGenerator.updateAdaptiveData(String[], String[]) method on all aggregated AdaptiveFeatureGenerators.
updateAdaptiveData(String[], String[]) - Methode in Klasse opennlp.tools.util.featuregen.CachedFeatureGenerator
updateAdaptiveData(String[], String[]) - Methode in Klasse opennlp.tools.util.featuregen.PreviousMapFeatureGenerator: Generates previous decision features for the token based on contents of the previous map.
updateAdaptiveData(String[], String[]) - Methode in Klasse opennlp.tools.util.featuregen.PreviousTwoMapFeatureGenerator
updateAdaptiveData(String[], String[]) - Methode in Klasse opennlp.tools.util.featuregen.WindowFeatureGenerator
updateBuildModel(MaxentModel) - Methode in Klasse opennlp.tools.parser.ParserModel: Instantiates a new ParserModel instance from the existing configuration with the specified buildModel for exchange.
updateCheckModel(MaxentModel) - Methode in Klasse opennlp.tools.parser.ParserModel: Instantiates a new ParserModel instance from the existing configuration with the specified checkModel for exchange.
updateChunkerModel(ChunkerModel) - Methode in Klasse opennlp.tools.parser.ParserModel: Instantiates a new ParserModel instance from the existing configuration with the specified chunkModel for exchange.
updateContext(Sequence<ChunkSample>, AbstractModel) - Methode in Klasse opennlp.tools.chunker.ChunkSampleSequenceStream
updateContext(Sequence<LemmaSample>, AbstractModel) - Methode in Klasse opennlp.tools.lemmatizer.LemmaSampleSequenceStream
updateContext(Sequence<NameSample>, AbstractModel) - Methode in Klasse opennlp.tools.namefind.NameSampleSequenceStream
updateContext(Sequence<POSSample>, AbstractModel) - Methode in Klasse opennlp.tools.postag.POSSampleSequenceStream
updateContext(Sequence<S>, AbstractModel) - Methode in Schnittstelle opennlp.tools.ml.model.SequenceStream: Creates a new event array based on the outcomes predicted by the specified parameters for the specified Sequence.
updateHeads(HeadRules) - Methode in Klasse opennlp.tools.parser.Parse: Computes the head parses for this parse and its sub-parses and stores this information in the parse data structure.
updateParameter(int, double) - Methode in Klasse opennlp.tools.ml.model.MutableContext: Updated the parameter or expected value at the specified outcomeIndex by adding the specified value to its current value.
updateScores(Object[], Object[]) - Methode in Klasse opennlp.tools.util.eval.FMeasure: Updates the score based on the number of true positives and the number of predictions and references.
updateSpan() - Methode in Klasse opennlp.tools.parser.Parse
updateTaggerModel(POSModel) - Methode in Klasse opennlp.tools.parser.ParserModel: Instantiates a new ParserModel instance from the existing configuration with the specified taggerModel for exchange.
URL - Enum-Konstante in Enum-Klasse opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
UrlCharSequenceNormalizer - Klasse in opennlp.tools.util.normalizer: A UrlCharSequenceNormalizer implementation that normalizes text in terms of URls and email addresses.
UrlCharSequenceNormalizer() - Konstruktor für Klasse opennlp.tools.util.normalizer.UrlCharSequenceNormalizer
USA_PHONE_NUM - Enum-Konstante in Enum-Klasse opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER
useAlphaNumericOptimization() - Methode in Klasse opennlp.tools.tokenize.TokenizerME
useAlphaNumericOptimization() - Methode in Klasse opennlp.tools.tokenize.TokenizerModel
useFunctionTags(boolean) - Statische Methode in Klasse opennlp.tools.parser.Parse: Specifies whether function tags should be included as part of the constituent type.
useTokenEnd() - Methode in Klasse opennlp.tools.sentdetect.SentenceModel

V

validate() - Methode in Klasse opennlp.tools.ml.AbstractEventTrainer
validate() - Methode in Klasse opennlp.tools.ml.AbstractTrainer: Checks the configured parameters.
validate() - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.QNTrainer
validate() - Methode in Klasse opennlp.tools.ml.perceptron.PerceptronTrainer: Checks the configured parameters.
validate() - Methode in Klasse opennlp.tools.ml.perceptron.SimplePerceptronSequenceTrainer: Checks the configured parameters.
validateArtifactMap() - Methode in Klasse opennlp.tools.chunker.ChunkerFactory
validateArtifactMap() - Methode in Klasse opennlp.tools.doccat.DoccatFactory
validateArtifactMap() - Methode in Klasse opennlp.tools.langdetect.LanguageDetectorFactory
validateArtifactMap() - Methode in Klasse opennlp.tools.lemmatizer.LemmatizerFactory
validateArtifactMap() - Methode in Klasse opennlp.tools.namefind.TokenNameFinderFactory
validateArtifactMap() - Methode in Klasse opennlp.tools.postag.POSTaggerFactory
validateArtifactMap() - Methode in Klasse opennlp.tools.sentdetect.SentenceDetectorFactory
validateArtifactMap() - Methode in Klasse opennlp.tools.tokenize.TokenizerFactory
validateArtifactMap() - Methode in Klasse opennlp.tools.util.BaseToolFactory: Validates the parsed artifacts.
validateOutcomes(MaxentModel, String...) - Statische Methode in Klasse opennlp.tools.util.model.ModelUtil: Checks if the expectedOutcomes are all contained as outcomes in the given model.
validSequence(int, String[], String[], String) - Methode in Klasse opennlp.tools.lemmatizer.DefaultLemmatizerSequenceValidator
validSequence(int, String[], String[], String) - Methode in Klasse opennlp.tools.namefind.BilouNameFinderSequenceValidator
validSequence(int, String[], String[], String) - Methode in Klasse opennlp.tools.namefind.NameFinderSequenceValidator
validSequence(int, String[], String[], String) - Methode in Klasse opennlp.tools.parser.ParserChunkerSequenceValidator
validSequence(int, String[], String[], String) - Methode in Klasse opennlp.tools.postag.DefaultPOSSequenceValidator
validSequence(int, TokenTag[], String[], String) - Methode in Klasse opennlp.tools.chunker.DefaultChunkerSequenceValidator
validSequence(int, TokenTag[], String[], String) - Methode in Klasse opennlp.tools.parser.ParserChunkerSequenceValidator
validSequence(int, T[], String[], String) - Methode in Schnittstelle opennlp.tools.util.SequenceValidator: Determines whether a particular continuation of a sequence is valid.
value() - Element in Annotationsschnittstellen opennlp.tools.commons.Internal
valueAt(double[]) - Methode in Schnittstelle opennlp.tools.ml.maxent.quasinewton.Function
valueAt(double[]) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.NegLogLikelihood: Computes the negative log-likelihood.
valueAt(double[]) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.ParallelNegLogLikelihood: Computes the negative log-likelihood.
valueAt(double[]) - Methode in Klasse opennlp.tools.ml.maxent.quasinewton.QNMinimizer.L2RegFunction
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.formats.conllu.ConlluTagset: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.ml.model.AbstractModel.ModelType: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.ml.TrainerFactory.TrainerType: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.parser.ParserEventTypeEnum: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.parser.ParserType: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.postag.POSTagFormat: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.tokenize.DetokenizationDictionary.Operation: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.util.DownloadUtil.ModelType: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.util.model.ModelType: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
valueOf(String) - Statische Methode in Enum-Klasse opennlp.tools.util.wordvector.WordVectorType: Gibt die Enum-Konstante dieser Klasse mit dem angegebenen Namen zurück.
values - Variable in Klasse opennlp.tools.ml.model.ComparableEvent
values() - Statische Methode in Enum-Klasse opennlp.tools.formats.Conll02NameSampleStream.LANGUAGE: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enum-Klasse opennlp.tools.formats.Conll03NameSampleStream.LANGUAGE: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enum-Klasse opennlp.tools.formats.conllu.ConlluTagset: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enum-Klasse opennlp.tools.formats.EvalitaNameSampleStream.LANGUAGE: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enum-Klasse opennlp.tools.ml.model.AbstractModel.ModelType: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enum-Klasse opennlp.tools.ml.TrainerFactory.TrainerType: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enum-Klasse opennlp.tools.namefind.RegexNameFinderFactory.DEFAULT_REGEX_NAME_FINDER: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enum-Klasse opennlp.tools.parser.ParserEventTypeEnum: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enum-Klasse opennlp.tools.parser.ParserType: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enum-Klasse opennlp.tools.postag.POSTagFormat: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enum-Klasse opennlp.tools.stemmer.snowball.SnowballStemmer.ALGORITHM: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enum-Klasse opennlp.tools.tokenize.DetokenizationDictionary.Operation: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enum-Klasse opennlp.tools.tokenize.Detokenizer.DetokenizationOperation: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enum-Klasse opennlp.tools.util.DownloadUtil.ModelType: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enum-Klasse opennlp.tools.util.model.ModelType: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
values() - Statische Methode in Enum-Klasse opennlp.tools.util.wordvector.WordVectorType: Gibt ein Array mit den Konstanten dieser Enum-Klasse in der Reihenfolge ihrer Deklaration zurück.
Version - Klasse in opennlp.tools.util: The Version class represents the OpenNLP Tools library version.
Version(int, int, int) - Konstruktor für Klasse opennlp.tools.util.Version: Initializes a Version instance with the provided version elements.
Version(int, int, int, boolean) - Konstruktor für Klasse opennlp.tools.util.Version: Initializes a Version instance with the provided version elements.

W

WhitespaceTokenizer - Klasse in opennlp.tools.tokenize: A basic Tokenizer implementation which performs tokenization using white spaces.
WhitespaceTokenStream - Klasse in opennlp.tools.tokenize: This stream formats ObjectStream of samples into whitespace separated token strings.
WhitespaceTokenStream(ObjectStream<TokenSample>) - Konstruktor für Klasse opennlp.tools.tokenize.WhitespaceTokenStream: Initializes a WhitespaceTokenStream.
WindowFeatureGenerator - Klasse in opennlp.tools.util.featuregen: Generates previous (left-sided) and next (right-sided) features for a given AdaptiveFeatureGenerator.
WindowFeatureGenerator(int, int, AdaptiveFeatureGenerator...) - Konstruktor für Klasse opennlp.tools.util.featuregen.WindowFeatureGenerator: Initializes a WindowFeatureGenerator with the given parameters.
WindowFeatureGenerator(AdaptiveFeatureGenerator) - Konstruktor für Klasse opennlp.tools.util.featuregen.WindowFeatureGenerator: Initializes a WindowFeatureGenerator.
WindowFeatureGenerator(AdaptiveFeatureGenerator...) - Konstruktor für Klasse opennlp.tools.util.featuregen.WindowFeatureGenerator: Initializes a WindowFeatureGenerator.
WindowFeatureGenerator(AdaptiveFeatureGenerator, int, int) - Konstruktor für Klasse opennlp.tools.util.featuregen.WindowFeatureGenerator: Initializes a WindowFeatureGenerator with the given parameters.
WindowFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen
WindowFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.WindowFeatureGeneratorFactory
WordClusterDictionary - Klasse in opennlp.tools.util.featuregen
WordClusterDictionary(InputStream) - Konstruktor für Klasse opennlp.tools.util.featuregen.WordClusterDictionary: Read word2vec and clark clustering style lexicons.
WordClusterDictionary.WordClusterDictionarySerializer - Klasse in opennlp.tools.util.featuregen
WordClusterDictionarySerializer() - Konstruktor für Klasse opennlp.tools.util.featuregen.WordClusterDictionary.WordClusterDictionarySerializer
WordClusterFeatureGenerator - Klasse in opennlp.tools.util.featuregen: An AdaptiveFeatureGenerator implementation of a word cluster feature generator.
WordClusterFeatureGenerator(WordClusterDictionary, String, boolean) - Konstruktor für Klasse opennlp.tools.util.featuregen.WordClusterFeatureGenerator: Instantiates a WordClusterFeatureGenerator via a specified WordClusterDictionary.
WordClusterFeatureGeneratorFactory - Klasse in opennlp.tools.util.featuregen: Defines a word cluster generator factory; it reads an element containing 'w2vwordcluster' as a tag name.
WordClusterFeatureGeneratorFactory() - Konstruktor für Klasse opennlp.tools.util.featuregen.WordClusterFeatureGeneratorFactory
WordpieceTokenizer - Klasse in opennlp.tools.tokenize: A Tokenizer implementation which performs tokenization using word pieces.
WordpieceTokenizer(Set<String>) - Konstruktor für Klasse opennlp.tools.tokenize.WordpieceTokenizer: Initializes a WordpieceTokenizer with a vocabulary and a default maxTokenLength of 50.
WordpieceTokenizer(Set<String>, int) - Konstruktor für Klasse opennlp.tools.tokenize.WordpieceTokenizer: Initializes a WordpieceTokenizer with a vocabulary and a custom maxTokenLength.
WordTagSampleStream - Klasse in opennlp.tools.postag: A stream filter which reads a sentence per line which contains words and tags in word_tag format and outputs a POSSample objects.
WordTagSampleStream(ObjectStream<String>) - Konstruktor für Klasse opennlp.tools.postag.WordTagSampleStream: Initializes a POSSample instance.
WordTagSampleStreamFactory - Klasse in opennlp.tools.formats: Note: Do not use this class, internal use only!
WordTagSampleStreamFactory.Parameters - Schnittstelle in opennlp.tools.formats
WordVector - Schnittstelle in opennlp.tools.util.wordvector: A word vector.
WordVectorTable - Schnittstelle in opennlp.tools.util.wordvector: A table that maps tokens to word vectors.
WordVectorType - Enum-Klasse in opennlp.tools.util.wordvector
writeDouble(double) - Methode in Klasse opennlp.tools.ml.maxent.io.BinaryGISModelWriter: Writes a single double to the underlying DataOutputStream.
writeDouble(double) - Methode in Klasse opennlp.tools.ml.maxent.io.BinaryQNModelWriter: Writes a single double to the underlying DataOutputStream.
writeDouble(double) - Methode in Klasse opennlp.tools.ml.model.AbstractModelWriter: Writes a single double to the underlying DataOutputStream.
writeDouble(double) - Methode in Klasse opennlp.tools.ml.model.GenericModelWriter
writeDouble(double) - Methode in Klasse opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
writeDouble(double) - Methode in Klasse opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
writeDouble(double) - Methode in Klasse opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
writeInt(int) - Methode in Klasse opennlp.tools.ml.maxent.io.BinaryGISModelWriter: Writes a single int to the underlying DataOutputStream.
writeInt(int) - Methode in Klasse opennlp.tools.ml.maxent.io.BinaryQNModelWriter: Writes a single int to the underlying DataOutputStream.
writeInt(int) - Methode in Klasse opennlp.tools.ml.model.AbstractModelWriter: Writes a single int to the underlying DataOutputStream.
writeInt(int) - Methode in Klasse opennlp.tools.ml.model.GenericModelWriter
writeInt(int) - Methode in Klasse opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
writeInt(int) - Methode in Klasse opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
writeInt(int) - Methode in Klasse opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter
writeModel(MaxentModel, OutputStream) - Statische Methode in Klasse opennlp.tools.util.model.ModelUtil: Writes the given MaxentModel to the specified OutputStream.
writeReport() - Methode in Klasse opennlp.tools.cmdline.doccat.DoccatFineGrainedReportListener
writeReport() - Methode in Klasse opennlp.tools.cmdline.langdetect.LanguageDetectorFineGrainedReportListener
writeReport() - Methode in Klasse opennlp.tools.cmdline.lemmatizer.LemmatizerFineGrainedReportListener
writeReport() - Methode in Klasse opennlp.tools.cmdline.namefind.TokenNameFinderFineGrainedReportListener
writeReport() - Methode in Klasse opennlp.tools.cmdline.postag.POSTaggerFineGrainedReportListener
writeUTF(DataOutputStream, String) - Statische Methode in Klasse opennlp.tools.ml.model.ModelParameterChunker: Writes the model parameter s to dos.
writeUTF(String) - Methode in Klasse opennlp.tools.ml.maxent.io.BinaryGISModelWriter: Writes a String to the underlying DataOutputStream.
writeUTF(String) - Methode in Klasse opennlp.tools.ml.maxent.io.BinaryQNModelWriter: Writes a String to the underlying DataOutputStream.
writeUTF(String) - Methode in Klasse opennlp.tools.ml.model.AbstractModelWriter: Writes a String to the underlying DataOutputStream.
writeUTF(String) - Methode in Klasse opennlp.tools.ml.model.GenericModelWriter
writeUTF(String) - Methode in Klasse opennlp.tools.ml.naivebayes.BinaryNaiveBayesModelWriter
writeUTF(String) - Methode in Klasse opennlp.tools.ml.naivebayes.PlainTextNaiveBayesModelWriter
writeUTF(String) - Methode in Klasse opennlp.tools.ml.perceptron.BinaryPerceptronModelWriter

X

X - Enum-Konstante in Enum-Klasse opennlp.tools.formats.conllu.ConlluTagset
XmlUtil - Klasse in opennlp.tools.util
XmlUtil() - Konstruktor für Klasse opennlp.tools.util.XmlUtil

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