- AbstractContextGenerator - Class in eus.ixa.ixa.pipe.ml.parse
-
Abstract class containing many of the methods used to generate contexts for parsing.
- AbstractContextGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator
-
- AbstractParserEventStream - Class in eus.ixa.ixa.pipe.ml.parse
-
Abstract class extended by parser event streams which perform tagging and chunking.
- AbstractParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream
-
- acronym - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker
-
General acronyms.
- add(Parse, HeadRules) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
- addFeatureGenerator(AdaptiveFeatureGenerator) - Method in class eus.ixa.ixa.pipe.ml.sequence.DefaultSequenceLabelerContextGenerator
-
- addFeatureGenerator(AdaptiveFeatureGenerator) - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerContextGenerator
-
Adds a feature generator to this set of feature generators.
- additionalContext(String[], Map<String, String>) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEventStream
-
Generated previous decision features for each token based on contents of the specified map.
- addNames(String, Span[], Parse[]) - Static method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Utility method to inserts named entities.
- addNextPunctuation(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Designates that the specified punctuation follows this parse.
- addParseEvents(List<Event>, Parse[]) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream
-
Produces all events for the specified sentence chunks
and adds them to the specified list.
- addPreviousPunctuation(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Designates that the specified punctuation should is prior to this parse.
- addProb(double) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Adds the specified probability log to this current log for this parse.
- adjoin(Parse, HeadRules) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Sister adjoins this node's last child and the specified sister node and returns their
new parent node.
- adjoinRoot(Parse, HeadRules, int) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
- advanceChunks(Parse, double) - Method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
Returns the top chunk sequences for the specified parse.
- advanceTags(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
Advances the parse by assigning it POS tags and returns multiple tag sequences.
- AlphaAposAlpha - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Alphabetic apostrophe and alphabetic.
- alphaAposNonAlpha - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Alphabetic apostrophe and non alpha.
- alphabetic - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker
-
Any alphabetic character.
- alphaNumParaLowerNum - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
Alphanumeric, maybe a space, paragraph mark, maybe a space, and lowercase
letter or digit.
- AncoraHeadRules - Class in eus.ixa.ixa.pipe.ml.parse
-
Class for obtaining head rules from Spanish Ancora parse
trees.
- AncoraHeadRules(Reader) - Constructor for class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules
-
Creates a new set of head rules based on the specified reader.
- AncoraHeadRules.AncoraHeadRulesSerializer - Class in eus.ixa.ixa.pipe.ml.parse
-
- AncoraHeadRulesSerializer() - Constructor for class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules.AncoraHeadRulesSerializer
-
- AnnotateProperties - Class in eus.ixa.ixa.pipe.ml.utils
-
Properties for annotation.
- apostrophe - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
- apply(String, String) - Method in class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer
-
Lookup lemma in a dictionary.
- apply(String, String) - Method in class eus.ixa.ixa.pipe.ml.lemma.MorfologikLemmatizer
-
Looks-up the lemma in a dictionary.
- areOutcomesCompatible(String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec
-
- areOutcomesCompatible(String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.BioCodec
-
- areOutcomesCompatible(String[]) - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCodec
-
Checks if the outcomes of the model are compatible with the codec.
- asciiHex - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Non printable control characters.
- asSpanArray(T) - Method in class eus.ixa.ixa.pipe.ml.sequence.DetailedFMeasureListener
-
- asSpanArray(SequenceLabelSample) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerDetailedFMeasureListener
-
- CHAR_NGRAM_RANGE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- CharacterNgramFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
- CharacterNgramFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.CharacterNgramFeatureGenerator
-
Initializes the current instance.
- checkcons(Parse, String, String, List<String>) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator
-
Produces features to determine whether the specified child node is part of
a complete constituent of the specified type and adds those features to the
specfied list.
- checkcons(Parse, Parse, String, List<String>) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator
-
- CheckContextGenerator - Class in eus.ixa.ixa.pipe.ml.parse
-
Class for generating predictive context for deciding when a constituent is complete.
- CheckContextGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.parse.CheckContextGenerator
-
Creates a new context generator for generating predictive context for deciding when a constituent is complete.
- CheckContextGenerator(Map<String, Object>) - Constructor for class eus.ixa.ixa.pipe.ml.parse.CheckContextGenerator
-
- ChunkBaselineContextGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
Baseline features to train a Chunker.
- ChunkBaselineContextGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.ChunkBaselineContextGenerator
-
- ClarkFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
- ClarkFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.ClarkFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.BigramClassFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.BrownBigramFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenClassFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.BrownTrigramFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.CharacterNgramFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.ChunkBaselineContextGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.ClarkFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.DictionaryFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.LemmaBaselineContextGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.LemmaDictionaryFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.LemmaModelFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.MFSFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.POSBaselineContextGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.POSDictionaryFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.POSTagModelFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.PredicateContextFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.PrefixFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.Prev2MapFeatureGenerator
-
Clears the previous map.
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.PreviousMapFeatureGenerator
-
Clears the previous map.
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.PreviousMapTokenFeatureGenerator
-
Clears the previous map.
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.SentenceFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.SuffixFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.SuperSenseFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.TokenClassFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.TokenFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.WindowFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.Word2VecClusterFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.features.WordShapeSuperSenseFeatureGenerator
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.nerc.DictionariesNERTagger
-
Clear the adaptiveData for each document.
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.nerc.NumericNERTagger
-
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.sequence.DefaultSequenceLabelerContextGenerator
-
- clearAdaptiveData() - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabeler
-
Forgets all adaptive data which was collected during previous
calls to one of the find methods.
- clearAdaptiveData() - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerContextGenerator
-
Informs all the feature generators for a name finder that the context of
the adaptive data (typically a document) is no longer valid.
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
Forgets all adaptive data which was collected during previous calls to one
of the find methods.
- clearAdaptiveData() - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler
-
Forgets all adaptive data which was collected during previous calls to one
of the find methods.
- CLI - Class in eus.ixa.ixa.pipe.ml
-
Main class of ixa-pipe-ml, the IXA pipes (ixa2.si.ehu.es/ixa-pipes) Machine
Learning library.
- CLI() - Constructor for class eus.ixa.ixa.pipe.ml.CLI
-
Construct a CLI object with the sub-parsers to manage the command
line parameters.
- clone() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
- clone(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Clones the right frontier of parse up to the specified node.
- cloneRoot(Parse, int) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Clones the right frontier of this root parse up to and including the specified node.
- close() - Method in class eus.ixa.ixa.pipe.ml.formats.CoNLL02Format
-
- close() - Method in class eus.ixa.ixa.pipe.ml.formats.CoNLL03Format
-
- close() - Method in class eus.ixa.ixa.pipe.ml.formats.LemmatizerFormat
-
- close() - Method in class eus.ixa.ixa.pipe.ml.formats.TabulatedFormat
-
- close() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream
-
- collapsePunctuation(Parse[], Set<String>) - Static method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
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.
- CollinsHeadFinder - Class in eus.ixa.ixa.pipe.ml.parse
-
HeadFinder for constituent parse using Collins rules.
- CollinsHeadFinder(Properties) - Constructor for class eus.ixa.ixa.pipe.ml.parse.CollinsHeadFinder
-
- commaNoDigit - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Comma and no digit.
- compareTo(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
- compareTo(Span) - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Compares the specified span to the current span.
- complete() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns whether this parse is complete.
- COMPLETE - Static variable in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
Outcome used when a constituent is complete.
- componentException() - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- computeShortestEditScript(String, String, int[][], StringBuffer) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
Computes the Shortest Edit Script (SES) to convert a word into its lemma.
- concatenateSpans(List<Span>, Span[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Concatenates two span lists adding the spans of the second parameter to the
list in first parameter.
- CoNLL02Format - Class in eus.ixa.ixa.pipe.ml.formats
-
2 fields CoNLL 2002 tabulated format: word\tabclass\n B- start chunk I-
inside chunk O- outside chunk.
- CoNLL02Format(String, ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.ml.formats.CoNLL02Format
-
Construct a Sequence Stream from a language and a ObjectStream.
- CoNLL02Format(String, InputStreamFactory) - Constructor for class eus.ixa.ixa.pipe.ml.formats.CoNLL02Format
-
Construct a Sequence Stream from a language and an input stream.
- CoNLL03Format - Class in eus.ixa.ixa.pipe.ml.formats
-
2 fields CoNLL 2003 tabulated format: word\tabclass\n
I- start chunk
B- begin chunk when next to same class entity
O- outside chunk
- CoNLL03Format(String, ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.ml.formats.CoNLL03Format
-
Construct a CoNLL03Format formatter.
- CoNLL03Format(String, InputStreamFactory) - Constructor for class eus.ixa.ixa.pipe.ml.formats.CoNLL03Format
-
Construct a CoNLL03 formatter.
- cons(Parse, int) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator
-
- Cons - Class in eus.ixa.ixa.pipe.ml.parse
-
Class to hold feature information about a specific parse node.
- Cons(String, String, int, boolean) - Constructor for class eus.ixa.ixa.pipe.ml.parse.Cons
-
- cons2(List<String>, Cons, Cons, Collection<Parse>, boolean) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator
-
- cons3(List<String>, Cons, Cons, Cons, Collection<Parse>, Collection<Parse>, boolean, boolean, boolean) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator
-
Creates cons features involving the 3 specified nodes and adds them to the specified feature list.
- consbo(Parse, int) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator
-
- Constituent - Class in eus.ixa.ixa.pipe.ml.parse
-
Class used to hold constituents when reading parses.
- Constituent(String, Span) - Constructor for class eus.ixa.ixa.pipe.ml.parse.Constituent
-
- contains(Span) - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Returns true if the specified span is contained by this span.
- contains(int) - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Returns true if the specified index is contained inside this span.
- contextGenerator - Variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
- CONTINUE - Static variable in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec
-
- CONTINUE - Static variable in class eus.ixa.ixa.pipe.ml.sequence.BioCodec
-
- contPattern - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
- conventionalPara - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
End of sentence marker, one or more paragraph marks, maybe some starting
punctuation, uppercase.
- convertListTokenToArrayStrings(List<Token>) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
Convert a list of token objects (e.g.
- convertNonCanonicalStrings(List<Token>, String) - Static method in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
Converts non-unicode and other strings into their unicode
counterparts.
- corpusFormatException() - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- correctlyClassified(T, T) - Method in class eus.ixa.ixa.pipe.ml.sequence.DetailedFMeasureListener
-
- correctlyClassified(T, T) - Method in class eus.ixa.ixa.pipe.ml.sequence.EvaluationErrorPrinter
-
- create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer.DictionaryLemmatizerSerializer
-
- create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules.AncoraHeadRulesSerializer
-
- create(String, Dictionary, Map<String, Object>) - Static method in class eus.ixa.ixa.pipe.ml.parse.ParserFactory
-
- create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules.PennTreebankHeadRulesSerializer
-
- create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary.DictionarySerializer
-
- create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource.MFSResourceSerializer
-
- create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.POSDictionary.POSDictionarySerializer
-
- create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.PredicateContext.PredicateContextSerializer
-
- create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource.SequenceModelResourceSerializer
-
- create(InputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.WordCluster.WordClusterSerializer
-
- create(String, byte[], Map<String, Object>, SequenceLabelerCodec<String>) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory
-
- createArtifactMap() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserFactory
-
- createArtifactSerializers(Map<String, ArtifactSerializer>) - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel
-
- createArtifactSerializers(Map<String, ArtifactSerializer>) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel
-
- createArtifactSerializers() - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel
-
Create the artifact serializers.
- createBuildContextGenerator() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserFactory
-
- createCheckContextGenerator() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserFactory
-
- createContextGenerator() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory
-
- createDisjunctRegexFromList(List<String>) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
- createEvents(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream
-
- createEvents(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.ParserEventStream
-
- createEvents(SequenceLabelSample) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEventStream
-
- createFeatureGenerators() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory
-
Creates the AdaptiveFeatureGenerator.
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.BigramClassFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.BrownBigramFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenClassFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.BrownTrigramFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.CharacterNgramFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.ChunkBaselineContextGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.ClarkFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.DictionaryFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.FivegramClassFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.FourgramClassFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.LemmaBaselineContextGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.LemmaDictionaryFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.LemmaModelFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.MFSFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.OutcomePriorFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.POSBaselineContextGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.POSDictionaryFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.POSTagModelFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.PredicateContextFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.PrefixFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.Prev2MapFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.PreviousMapFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.PreviousMapTokenFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.SentenceFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.SuffixFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.SuperSenseFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.TokenClassFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.TokenFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.TrigramClassFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.WindowFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.Word2VecClusterFeatureGenerator
-
- createFeatures(List<String>, String[], int, String[]) - Method in class eus.ixa.ixa.pipe.ml.features.WordShapeSuperSenseFeatureGenerator
-
- createParserFactory(TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
- createReport() - Method in class eus.ixa.ixa.pipe.ml.sequence.DetailedFMeasureListener
-
- createReport(Locale) - Method in class eus.ixa.ixa.pipe.ml.sequence.DetailedFMeasureListener
-
- createSequence(String, String) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelFactory
-
- createSequence(String, String, Span) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelFactory
-
Constructs a
SequenceLabel as a String with a type and a
Span
specified in terms of the number of tokens it contains.
- createSequence(String, String, int, int) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelFactory
-
Constructs a
SequenceLabel as a String with corresponding offsets and length
from which to calculate start and end position of the Name.
- createSequence(String, String, Span, int, int) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelFactory
-
Constructs a Sequence as a String with corresponding offsets and length from
which to calculate start and end position of the Sequence.
- createSequenceCodec() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory
-
- createSequenceLabelerFactory(TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer
-
Create SequenceLabelerFactory with custom features.
- createSequenceLabelerFactory(TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
- createSequenceValidator() - Method in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec
-
- createSequenceValidator() - Method in class eus.ixa.ixa.pipe.ml.sequence.BioCodec
-
- createSequenceValidator() - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCodec
-
Creates a sequence validator which can validate a sequence of outcomes.
- createToken(String, int, int) - Method in class eus.ixa.ixa.pipe.ml.tok.TokenFactory
-
Constructs a Token as a String with corresponding offsets and length from
which to calculate start and end position of the Token.
- createXMLFeatureDescriptor(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.features.XMLFeatureDescriptor
-
Generate the XML feature descriptor from the TrainingParameters prop file.
- CROSS_PARSER_NAME - Static variable in class eus.ixa.ixa.pipe.ml.CLI
-
- crosses(Span) - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Returns true is the specified span crosses this span.
- crossValidate() - Method in class eus.ixa.ixa.pipe.ml.CLI
-
Main access to the cross validation.
- crossValidate(TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.eval.CrossValidator
-
- CrossValidator - Class in eus.ixa.ixa.pipe.ml.eval
-
Abstract class for common training functionalities.
- CrossValidator(TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.ml.eval.CrossValidator
-
- datasetException() - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEBUG - Static variable in class eus.ixa.ixa.pipe.ml.resources.Dictionaries
-
- DEBUG - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- debugOn - Variable in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
Turns debug print on or off.
- decode(List<String>) - Method in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec
-
- decode(List<String>) - Method in class eus.ixa.ixa.pipe.ml.sequence.BioCodec
-
- decode(List<T>) - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCodec
-
Decodes a sequence T objects into Span objects.
- decodeLemmas(String[], Span[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
Decodes the lemma from the word and the induced lemma class.
- decodeLemmasToSpans(String[], Span[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
Decodes the lemma induced type into the lemma and sets it as
value of the Span type.
- decodeSequences(String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
Decode Sequences from an array of Strings.
- decodeShortestEditScript(String, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
Read predicted SES by the lemmatizer model and apply the
permutations to obtain the lemma from the wordForm.
- DEFAULT_ALL_MORPHOLOGY - Static variable in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties
-
Output all POS and Lemma analysis before disambiguation.
- DEFAULT_BEAM_SIZE - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
- DEFAULT_BEAM_SIZE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
Default beam size for decoding.
- DEFAULT_BEAMSIZE - Static variable in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
The default beam size used if no beam size is given.
- DEFAULT_DICT_CUTOFF - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_DICT_OPTION - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_DICT_PATH - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_DICTAG - Static variable in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties
-
Correct statistical POS tagger output with monosemic dictionary.
- DEFAULT_EVAL_FORMAT - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_EVALUATE_MODEL - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_FEATURE_FLAG - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_FOLDS_VALUE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_HARD_PARAGRAPH - Static variable in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties
-
Choose between 'yes' and 'no'.
- DEFAULT_HOSTNAME - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_LEXER - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_MFS_RANGE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_MULTIWORDS - Static variable in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties
-
Detect multiwords.
- DEFAULT_NORMALIZE - Static variable in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties
-
Choose corpus conventions for normalization of punctuation.
- DEFAULT_OUTPUT_FORMAT - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_POSTAG_RANGE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_PREFIX_BEGIN - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_PREFIX_END - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_SENTENCE_BEGIN - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_SENTENCE_END - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_SEQUENCE_CODEC - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_SEQUENCE_TYPES - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_SUFFIX_BEGIN - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_SUFFIX_END - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_SUPERSENSE_RANGE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_TASK - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_TOKEN_RANGE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_TOKENCLASS_RANGE - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DEFAULT_TYPE - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample
-
The a default type value when there is no type in training data.
- DEFAULT_UNTOKENIZABLE_STRING - Static variable in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties
-
Choose between 'yes' and 'no'.
- DEFAULT_WINDOW - Static variable in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- defaultAdvancePercentage - Static variable in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
The default amount of probability mass required of advanced outcomes.
- DefaultSequenceLabelerContextGenerator - Class in eus.ixa.ixa.pipe.ml.sequence
-
Class for determining contextual features for a tag/chunk style
named-entity recognizer.
- DefaultSequenceLabelerContextGenerator(AdaptiveFeatureGenerator...) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.DefaultSequenceLabelerContextGenerator
-
Creates a name context generator with the specified cache size.
- DetailedFMeasureListener<T> - Class in eus.ixa.ixa.pipe.ml.sequence
-
This listener will gather detailed information about the sample under evaluation and will
allow detailed FMeasure for each outcome.
- DetailedFMeasureListener() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.DetailedFMeasureListener
-
- detailEvaluate() - Method in class eus.ixa.ixa.pipe.ml.eval.SequenceLabelerEvaluate
-
Evaluate and print the precision, recall and F measure per
sequence class.
- deTokenEnglishNegation - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Detokenize wrongly tokenize n't English contractions.
- detokenParagraphs - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
De-tokenize paragraph marks.
- devSetException() - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- dict - Variable in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream
-
- Dictionaries - Class in eus.ixa.ixa.pipe.ml.resources
-
Class to load a directory containing dictionaries into a list of
Dictionaries.
- Dictionaries(String) - Constructor for class eus.ixa.ixa.pipe.ml.resources.Dictionaries
-
Construct the dictionaries from the input directory path.
- DictionariesNERTagger - Class in eus.ixa.ixa.pipe.ml.nerc
-
Named Entity Recognition module based on
Dictionaries objects This
class provides the following functionalities:
string matching against of a string (typically tokens) against a
Dictionary containing names.
- DictionariesNERTagger(Dictionaries) - Constructor for class eus.ixa.ixa.pipe.ml.nerc.DictionariesNERTagger
-
Construct a DictionaryNameFinder using one dictionary and one named entity
class.
- DictionariesNERTagger(Dictionaries, SequenceLabelFactory) - Constructor for class eus.ixa.ixa.pipe.ml.nerc.DictionariesNERTagger
-
Construct a DictionariesNameFinder with a dictionary, a type and a name
factory.
- Dictionary - Class in eus.ixa.ixa.pipe.ml.resources
-
Dictionary class which reads a serialized HashMap String, String from
a tab separated file name\tclass\t.
- Dictionary(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.resources.Dictionary
-
- Dictionary.DictionarySerializer - Class in eus.ixa.ixa.pipe.ml.resources
-
- dictionaryException() - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DictionaryFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
Checks if a named entity is in a gazetteer.
- DictionaryFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.DictionaryFeatureGenerator
-
- dictionaryFeaturesException() - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- DictionaryLemmatizer - Class in eus.ixa.ixa.pipe.ml.lemma
-
Lemmatize by simple dictionary lookup into a serialized hashmap built from a file
containing, for each line, word\tablemma\tabpostag.
- DictionaryLemmatizer(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer
-
Construct a hashmap from the input tab separated dictionary.
- DictionaryLemmatizer.DictionaryLemmatizerSerializer - Class in eus.ixa.ixa.pipe.ml.lemma
-
- DictionaryLemmatizerSerializer() - Constructor for class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer.DictionaryLemmatizerSerializer
-
- DictionarySerializer() - Constructor for class eus.ixa.ixa.pipe.ml.resources.Dictionary.DictionarySerializer
-
- DictionaryTagger - Interface in eus.ixa.ixa.pipe.ml.pos
-
Interface of the pos tagger based on Dictionary lookup.
- digitCommaNoDigit - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Digit comma and non digit.
- DOCSTART - Static variable in class eus.ixa.ixa.pipe.ml.formats.CoNLL03Format
-
The doc mark present in CoNLL 2003 datasets.
- dotInsideI - Static variable in class eus.ixa.ixa.pipe.ml.resources.PredicateContext
-
Turkish capital letter I with dot.
- dotmultiDot - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Multi dot pattern and extra dot.
- dotmultiDotAny - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Dot multi pattern followed by anything.
- doubleAsciiQuote - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
- doubleAsciiQuoteAlphaNumeric - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
- doubleBar - Static variable in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
Pattern to remove double bars from disjunct regex.
- doubleLineBreak - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
Two lines.
- doubleSpaces - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
One or more spaces.
- dropOverlappingSpans(Span[]) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
Removes spans with are intersecting or crossing in anyway.
- ellipsis - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
- encode(Span[], int) - Method in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec
-
- encode(Span[], int) - Method in class eus.ixa.ixa.pipe.ml.sequence.BioCodec
-
- encode(Span[], int) - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCodec
-
Encodes Span objects into a sequence of T objects.
- END_TAG - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSampleDataStream
-
- endInsideQuotesPara - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
End of sentence marker, maybe one or more paragraph marks, final punctuation (quotes, brackets),
two or more paragraph marks, maybe some initial punctuation, maybe some space and uppercase.
- endInsideQuotesSpace - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
End of sentence marker, maybe a space, punctuation (quotes, brackets),
space, maybe some more punctuation, maybe some space and uppercase.
- endLink - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
- endOfSentenceApos - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Tokenize apostrophes occurring at the end of the string.
- endPunctLinkPara - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
End of sentence markers, paragraph mark and link.
- endPunctLinkSpace - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
End of sentence punctuation, maybe spaces and link.
- englishApos - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Split English apostrophes.
- englishNegations - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Split English negative contractions.
- EOS - Static variable in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator
-
- equals(Object) - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules
-
- equals(Object) - Method in class eus.ixa.ixa.pipe.ml.parse.HeadRule
-
- equals(Object) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
- equals(Object) - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules
-
- equals(Object) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample
-
- equals(Object) - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Checks if the specified span is equal to the current span.
- etype - Variable in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream
-
The type of events being generated by this event stream.
- eus.ixa.ixa.pipe.ml - package eus.ixa.ixa.pipe.ml
-
Package containing common code for training and evaluating IXA pipes models.
- eus.ixa.ixa.pipe.ml.eval - package eus.ixa.ixa.pipe.ml.eval
-
Package containing common code for evaluation of ixa-pipe-nerc.
- eus.ixa.ixa.pipe.ml.features - package eus.ixa.ixa.pipe.ml.features
-
- eus.ixa.ixa.pipe.ml.formats - package eus.ixa.ixa.pipe.ml.formats
-
Classes to directly train NERC models from a variety of corpus formats.
- eus.ixa.ixa.pipe.ml.lemma - package eus.ixa.ixa.pipe.ml.lemma
-
Package containing classes related to dictionary lemmatizers.
- eus.ixa.ixa.pipe.ml.lexer - package eus.ixa.ixa.pipe.ml.lexer
-
Package containing the lexers.
- eus.ixa.ixa.pipe.ml.nerc - package eus.ixa.ixa.pipe.ml.nerc
-
Package containing Named Entity Recognition and Classification classes.
- eus.ixa.ixa.pipe.ml.parse - package eus.ixa.ixa.pipe.ml.parse
-
Package containing the Parser classes.
- eus.ixa.ixa.pipe.ml.pos - package eus.ixa.ixa.pipe.ml.pos
-
Package containing the POS tagging classes.
- eus.ixa.ixa.pipe.ml.resources - package eus.ixa.ixa.pipe.ml.resources
-
Package containing the dictionaries, clustering lexicons and other resources.
- eus.ixa.ixa.pipe.ml.sequence - package eus.ixa.ixa.pipe.ml.sequence
-
The package containing all the infrastructure for Sequence objects.
- eus.ixa.ixa.pipe.ml.tok - package eus.ixa.ixa.pipe.ml.tok
-
Package containing the Sentence Segmenter and Tokenizer classes.
- eus.ixa.ixa.pipe.ml.utils - package eus.ixa.ixa.pipe.ml.utils
-
Utility classes.
- eval() - Method in class eus.ixa.ixa.pipe.ml.CLI
-
Main evaluation entry point.
- EVAL_PARSER_NAME - Static variable in class eus.ixa.ixa.pipe.ml.CLI
-
- evalError() - Method in class eus.ixa.ixa.pipe.ml.eval.SequenceLabelerEvaluate
-
Evaluate and print every error.
- evaluate() - Method in class eus.ixa.ixa.pipe.ml.eval.ParserEvaluate
-
Evaluate and print precision, recall and F measure.
- evaluate() - Method in class eus.ixa.ixa.pipe.ml.eval.SequenceLabelerEvaluate
-
Evaluate and print precision, recall and F measure.
- evaluate(ObjectStream<SequenceLabelSample>, int) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCrossValidator
-
Starts the evaluation.
- evaluateAccuracy() - Method in class eus.ixa.ixa.pipe.ml.eval.SequenceLabelerEvaluate
-
- EvaluationErrorPrinter<T> - Class in eus.ixa.ixa.pipe.ml.sequence
-
Note: Do not use this class, internal use only!
- EvaluationErrorPrinter(OutputStream) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.EvaluationErrorPrinter
-
- exactStringFinder(String, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
Finds a pattern (typically a named entity string) in a sentence string.
- exactTokenFinder(String, String[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
Finds a pattern (typically a named entity string) in a tokenized sentence.
- exactTokenFinderIgnoreCase(String, String[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
Finds a pattern (typically a named entity string) in a tokenized sentence.
- expandTopNode(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
- extract(int, int, String) - Static method in class eus.ixa.ixa.pipe.ml.formats.CoNLL02Format
-
- extractSequenceType(String) - Static method in class eus.ixa.ixa.pipe.ml.sequence.BioCodec
-
- GapLabeler - Interface in eus.ixa.ixa.pipe.ml.parse
-
Interface for labeling nodes which contain traces so that these traces can be predicted
by the parser.
- generalBlankPunctuation - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Non printable punctuation characters.
- generateEvents(String[], String[], SequenceLabelerContextGenerator) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEventStream
-
- generateOutcomes(Span[], String, int) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEventStream
-
- getAdditionalContext() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample
-
- getAllPosLemmas(String, List<String>) - Method in class eus.ixa.ixa.pipe.ml.lemma.MorfologikLemmatizer
-
- getAllTags(String[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler
-
Produces a multidimensional array containing all the taggings
possible for a given sentence.
- getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer
-
- getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules
-
- getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules
-
- getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary
-
- getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource
-
- getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.resources.POSDictionary
-
- getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.resources.PredicateContext
-
- getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource
-
- getArtifactSerializerClass() - Method in class eus.ixa.ixa.pipe.ml.resources.WordCluster
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.BrownBigramFeatureGenerator
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenClassFeatureGenerator
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.BrownTokenFeatureGenerator
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.BrownTrigramFeatureGenerator
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.ChunkBaselineContextGenerator
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.ClarkFeatureGenerator
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.DictionaryFeatureGenerator
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.LemmaBaselineContextGenerator
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.LemmaDictionaryFeatureGenerator
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.LemmaModelFeatureGenerator
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.MFSFeatureGenerator
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.POSDictionaryFeatureGenerator
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.POSTagModelFeatureGenerator
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.PredicateContextFeatureGenerator
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.SuperSenseFeatureGenerator
-
- getArtifactSerializerMapping() - Method in class eus.ixa.ixa.pipe.ml.features.Word2VecClusterFeatureGenerator
-
- getBeamSize() - Method in class eus.ixa.ixa.pipe.ml.eval.CrossValidator
-
- getBeamSize() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel
-
- getBeamsize(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getBigramClassFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getBilouDictionaryMatch(String[]) - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary
-
Performs gazetteer match in a bilou encoding.
- getBioDictionaryMatch(String[]) - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary
-
Performs gazetteer match in a bio encoding.
- getBrownFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getBuildModel() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel
-
- getCharNgramFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getCharNgramFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getCheckModel() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel
-
- getChildCount() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the number of children for this parse node.
- getChildren() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the child constituents of this constituent
.
- getChunkBaselineFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getChunkerFactory() - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
Get the features which are implemented in each of the trainers extending
this class.
- getClarkFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getClearEvaluationFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getClearTrainingFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getClusterLexiconFiles(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
Get a parameter in trainParams.prop file consisting of a list of clustering
lexicons separated by comma "," and return a list of files, one for each
lexicon.
- getCommonParent(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the deepest shared parent of this node and the specified node.
- getComponent(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getContext(Object) - Method in class eus.ixa.ixa.pipe.ml.parse.BuildContextGenerator
-
- getContext(Parse[], int) - Method in class eus.ixa.ixa.pipe.ml.parse.BuildContextGenerator
-
Returns the predictive context used to determine how constituent at the specified index
should be combined with other contisuents.
- getContext(Object) - Method in class eus.ixa.ixa.pipe.ml.parse.CheckContextGenerator
-
- getContext(Parse[], String, int, int) - Method in class eus.ixa.ixa.pipe.ml.parse.CheckContextGenerator
-
Returns 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(int, String[], String[], Object[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.DefaultSequenceLabelerContextGenerator
-
Return the context for finding names at the specified index.
- getCorpusFormat(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getCoveredText() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
- getCoveredText(CharSequence) - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
- getCoveredText(String[]) - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
- getDataSet(String, TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getDefaultFactory() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel
-
- getDerivation() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the derivation string for this parse if one has been created.
- getDict() - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary
-
Get the Map String, String dictionary.
- getDictionaries() - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionaries
-
Get the list of dictionaries as HashMaps.
- getDictionary() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserFactory
-
- getDictionaryFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getDictionaryResource(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils
-
Get an input stream from a resource name.
- getDictMap() - Method in class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer
-
Get the Map containing the dictionary.
- getDictNames() - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionaries
-
Get the dictionary names.
- getEnd() - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Return the end of a span.
- getFactory() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel
-
- getFeatureGenerator() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory
-
- getFilesInDir(File) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
Recursively get every file in a directory and add them to a list.
- getFirstSenseBilou(List<String>, Span[]) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource
-
Extract most frequent sense baseline from WordNet data, using Ciaramita and
Altun's (2006) approach for bilou encoding.
- getFirstSenseBio(List<String>, Span[]) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource
-
Extract most frequent sense baseline from WordNet data, using Ciaramita and
Altun's (2006) approach for a bio encoding.
- getFivegramClassFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getFMeasure() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserEvaluator
-
It returns the fmeasure result.
- getFMeasure() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCrossValidator
-
- getFMeasure() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator
-
- getFolds(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getFourgramClassFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getFrontierNodes(List<Parse>, Parse[]) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator
-
Populates specified nodes array with left-most right frontier
node with a unique head.
- getHead(Parse[], String) - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules
-
- getHead(Parse[], String) - Method in interface eus.ixa.ixa.pipe.ml.parse.HeadRules
-
Returns the head constituent for the specified constituents of the specified type.
- getHead() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the head constituent associated with this constituent.
- getHead(Parse[], String) - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules
-
- getHeadIndex() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the index within a sentence of the head token for this parse.
- getHeadRules() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel
-
- getHeadRules(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
- getHeadRulesFile(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getId() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample
-
- getIgnoreCaseDictionaries() - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionaries
-
Get the lower case dictionaries.
- getInitialChunks(Parse) - Static method in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream
-
- getInitialChunks(Parse) - Static method in class eus.ixa.ixa.pipe.ml.parse.ParserEventStream
-
- getKnownAccuracy() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator
-
- getLabel() - Method in class eus.ixa.ixa.pipe.ml.parse.Constituent
-
Returns the label of the constituent.
- getLabel() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the label assigned to this parse node during parsing
which specifies how this node will be formed into a constituent.
- getLanguage(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getLeftWindow() - Static method in class eus.ixa.ixa.pipe.ml.features.XMLFeatureDescriptor
-
Get the left window feature length.
- getLemmaBaselineFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getLemmaBaselineFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getLemmaDictionaryFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getLemmaDictionaryResources(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getLemmaModelFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getLemmaSequences(String[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler
-
- getLemmaSequencesFromSpans(String[], Span[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler
-
- getMap() - Method in class eus.ixa.ixa.pipe.ml.resources.WordCluster
-
- getMaxTokenCount() - Method in class eus.ixa.ixa.pipe.ml.pos.MultiWordMatcher
-
Get the key,value size of the dictionary.
- getMaxTokenCount() - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary
-
Get the key,value size of the dictionary.
- getMFS(TreeMultimap<Integer, String>) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource
-
Get the MFS from a lemma#posClass entry, e.g., house#n.
- getMFSFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getMFSFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getMFSRanking(String, Integer) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource
-
Get a rank of senses ordered by MFS.
- getMFSResources(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getModel(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getMostFrequentTag(String) - Method in class eus.ixa.ixa.pipe.ml.resources.POSDictionary
-
- getMultipleLemmas(String[], Span[][]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler
-
Takes a sentence with multiple tags alternatives for each word and produces
a lemma for each of the word-tag combinations.
- getNAFTagSet(String, String) - Static method in class eus.ixa.ixa.pipe.ml.pos.TagSetMappingsToNAF
-
Obtain the appropriate tagset according to language and postag.
- getNames(String[]) - Method in class eus.ixa.ixa.pipe.ml.nerc.DictionariesNERTagger
-
Dictionaries based Named Entity Detection and Classification.
- getNames(String[]) - Method in class eus.ixa.ixa.pipe.ml.nerc.NumericNERTagger
-
- getNamesFromSpans(Span[], String[]) - Method in class eus.ixa.ixa.pipe.ml.nerc.DictionariesNERTagger
-
- getNamesFromSpans(Span[], String[]) - Method in class eus.ixa.ixa.pipe.ml.nerc.NumericNERTagger
-
- getNextPunctuationSet() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the set of punctuation parses that occur immediately after this parse.
- getNextToken() - Method in class eus.ixa.ixa.pipe.ml.lexer.NumericNameLexer
-
Get the next token provided by yylex().
- getNumericNames() - Method in class eus.ixa.ixa.pipe.ml.lexer.NumericNameLexer
-
Returns found expressions as a List of names.
- getOrderedMap(String) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource
-
Get the ordered Map of most frequent senses for a lemma#pos entry.
- getOrderedMap(String) - Method in class eus.ixa.ixa.pipe.ml.resources.POSDictionary
-
- getOrderedSenses(List<String>, TreeMultimap<Integer, String>) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource
-
Look-up lemma#pos string as key in dictionary.
- getOutcomePriorFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getOutputFormat(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getParent() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the parent parse node of this constituent.
- getParserChunkerModel() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel
-
- getParserFactory() - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
Get the features which are implemented in each of the trainers extending
this class.
- getParserTaggerModel() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserModel
-
- getParseStream(String) - Static method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
Getting the stream with the right corpus format.
- getPOSBaselineFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getPOSDictionaryFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getPOSTagModelFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getPOSTagModelFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
Get the morphological features configuration.
- getPredicateContext() - Method in class eus.ixa.ixa.pipe.ml.resources.PredicateContext
-
- getPredicateContextFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getPreffixFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getPrefixBegin(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getPrefixEnd(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getPrefixes(String) - Method in class eus.ixa.ixa.pipe.ml.features.PrefixFeatureGenerator
-
- getPrefixFeaturesBegin(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getPrefixFeaturesEnd(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getPreviousMapFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getPreviousPunctuationSet() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the set of punctuation parses that occur immediately before this parse.
- getProb() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the log of the product of the probability associated with all the decisions which formed this constituent.
- getProb() - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
- getPunctuationTags() - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules
-
- getPunctuationTags() - Method in interface eus.ixa.ixa.pipe.ml.parse.HeadRules
-
Returns the set of punctuation tags.
- getPunctuationTags() - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules
-
- getResources() - Method in class eus.ixa.ixa.pipe.ml.parse.ParserFactory
-
- getResources() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory
-
- getRightWindow() - Static method in class eus.ixa.ixa.pipe.ml.features.XMLFeatureDescriptor
-
Get the right window feature length.
- getSentenceAccuracy() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator
-
- getSentenceFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getSentenceFeaturesBegin(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getSentenceFeaturesEnd(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getSequenceCodec(String) - Method in class eus.ixa.ixa.pipe.ml.eval.CrossValidator
-
Get the Sequence codec.
- getSequenceCodec() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory
-
- getSequenceCodec() - Method in class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer
-
Get the Sequence codec.
- getSequenceCodec() - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
Get the Sequence codec.
- getSequenceCodec(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getSequenceLabelerFactory() - Method in class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer
-
Get the features which are implemented in each of the trainers extending
this class.
- getSequenceLabelerModel() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel
-
- getSequences() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample
-
- getSequences(String[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler
-
Produce a list of the
SequenceLabel objects classified by the
probabilistic model.
- getSequencesFromSpans(String[], Span[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler
-
- getSequenceStream(String, String, String) - Static method in class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer
-
Getting the stream with the right corpus format.
- getSetStringFromList(List<String>) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
- getShortestEditScript(String, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
Get the SES required to go from a word to a lemma.
- getSpan() - Method in class eus.ixa.ixa.pipe.ml.parse.Constituent
-
Returns the span of the constituent.
- getSpan() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the character offsets for this constituent.
- getSpan() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
Return the Span (or null if none).
- getStart() - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Return the start of a span.
- getString() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
Return the string of the sequence (or null if none).
- getStringFromTokens(String[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
Gets the String joined by a space of an array of tokens.
- getSuffixBegin(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getSuffixEnd(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getSuffixes(String) - Method in class eus.ixa.ixa.pipe.ml.features.SuffixFeatureGenerator
-
- getSuffixFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getSuffixFeaturesBegin(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getSuffixFeaturesEnd(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getSuperSenseFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getSuperSenseFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getSuperSenseResources(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getTaggerFactory() - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
Get the features which are implemented in each of the trainers extending
this class.
- getTagNodes() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the parse nodes which are children of this node and which are pos tags.
- getTags() - Method in class eus.ixa.ixa.pipe.ml.parse.HeadRule
-
- getTagSequenceProb() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the probability associated with the pos-tag sequence assigned to this parse.
- getText() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the text of the sentence over which this parse was formed.
- getTokenClassFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getTokenClassFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getTokenFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getTokenFeaturesRange(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getTokens() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample
-
- getTokensWithMultiWords(String[]) - Method in class eus.ixa.ixa.pipe.ml.pos.MultiWordMatcher
-
Get input text and join the multiwords found in the dictionary object.
- getTokenValue() - Method in class eus.ixa.ixa.pipe.ml.tok.Token
-
- getTrigramClassFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getType() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Returns the constituent label for this node of the parse.
- getType() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
Return the type of the Sequence.
- getType() - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Retrieves the type of the span.
- getTypesFromSpans(Span[], String[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Get an array of Spans and their associated tokens and obtains an array of
Strings containing the type for each Span.
- getUnknownWordAccuracy() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator
-
- getWindow(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getWord2VecClusterFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- getWordAccuracy() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator
-
Retrieves the word accuracy.
- getWordClass(String) - Method in class eus.ixa.ixa.pipe.ml.features.ClarkFeatureGenerator
-
- getWordClasses(String, WordCluster) - Static method in class eus.ixa.ixa.pipe.ml.features.BrownTokenClasses
-
It provides a list containing the pathLengths for a token if found
in the BrownCluster Map token,BrownClass.
- getWordCount() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator
-
Retrieves the total number of words considered
in the evaluation.
- getWordShapeSuperSenseFeatures(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- labelGaps(Stack<Constituent>) - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules
-
- labelGaps(Stack<Constituent>) - Method in interface eus.ixa.ixa.pipe.ml.parse.GapLabeler
-
Labels the constituents found in the stack with gap labels if appropriate.
- labelGaps(Stack<Constituent>) - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules
-
- langException() - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- LAST - Static variable in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec
-
- lastChild(Parse, Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream
-
Returns true if the specified child is the last child of the specified parent.
- lastChild(Parse, Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.ParserEventStream
-
Returns true if the specified child is the last child of the specified parent.
- lastPattern - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
- leftDoubleQuote - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
- leftSingleQuote - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
- LemmaBaselineContextGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
Implements a Baseline Feature Generator for Statistical Lemmatization.
- LemmaBaselineContextGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.LemmaBaselineContextGenerator
-
- LemmaDictionaryFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
Generate lemma features from a dictionary as feature of
the current token.
- LemmaDictionaryFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.LemmaDictionaryFeatureGenerator
-
- LemmaModelFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
This feature generator can also be placed in a sliding window.
- LemmaModelFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.LemmaModelFeatureGenerator
-
- lemmatize(String[], Span[]) - Method in class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer
-
- lemmatize(String[], String[]) - Method in class eus.ixa.ixa.pipe.ml.lemma.MorfologikLemmatizer
-
- lemmatize(String[]) - Method in class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource
-
Lemmatize the current sentence.
- LemmatizerFormat - Class in eus.ixa.ixa.pipe.ml.formats
-
2 fields in tabulated format: word\tabclass\n.
- LemmatizerFormat(String, ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.ml.formats.LemmatizerFormat
-
Construct a Sequence Stream from a language and a ObjectStream.
- LemmatizerFormat(String, InputStreamFactory) - Constructor for class eus.ixa.ixa.pipe.ml.formats.LemmatizerFormat
-
Construct a Sequence Stream from a language and an input stream.
- lemmatizeToSpans(String[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler
-
- length() - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Returns the length of this span.
- levenshteinDistance(String, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
Computes the Levenshtein distance of two strings in a matrix.
- LINE_BREAK - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
The constant representing every line break in the original input text.
- lineBreak - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
Line break pattern.
- LoadModelResources - Class in eus.ixa.ixa.pipe.ml.resources
-
- loadParseResources(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.resources.LoadModelResources
-
Load the external resources such as gazetters and clustering lexicons.
- loadResource(String, Map<String, ArtifactSerializer>, String, Map<String, Object>) - Static method in class eus.ixa.ixa.pipe.ml.resources.LoadModelResources
-
Load a resource by resourceId.
- loadSequenceResources(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.resources.LoadModelResources
-
Load the external resources such as gazetters and clustering lexicons.
- loadTrainingParameters(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils
-
Load the parameters in the TrainingParameters file.
- longDash - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
- lookup(String) - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary
-
Look up a string in the dictionary.
- lookupToken(String) - Method in class eus.ixa.ixa.pipe.ml.resources.WordCluster
-
- nercToSpans(String[]) - Method in class eus.ixa.ixa.pipe.ml.nerc.DictionariesNERTagger
-
Detects Named Entities in a
Dictionaries by NE type ignoring case.
- nercToSpans(String[]) - Method in class eus.ixa.ixa.pipe.ml.nerc.NumericNERTagger
-
- nercToSpansExact(String[]) - Method in class eus.ixa.ixa.pipe.ml.nerc.DictionariesNERTagger
-
Detects Named Entities in a
Dictionaries by NE type This method is
case sensitive.
- NEXT_PREFIX - Static variable in class eus.ixa.ixa.pipe.ml.features.WindowFeatureGenerator
-
- nextCandidateWord - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker
-
Next word wrt to the candidate to indicate sentence breaker.
- noAlphaAposNoAlpha - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
No alphabetic apostrophe and no alphabetic.
- noAlphaDigitAposAlpha - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Non alpha, digit, apostrophe and alpha.
- noDigitComma - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
No digit comma.
- noDigitCommaDigit - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Non digit comma and digit.
- NON_BREAKER_DIGITS - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker
-
Do not split dot after these words if followed by number.
- NonPeriodBreaker - Class in eus.ixa.ixa.pipe.ml.tok
-
This class implements exceptions for periods as sentence breakers and tokens.
- NonPeriodBreaker(Properties) - Constructor for class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker
-
This constructor reads some non breaking prefixes files in resources to
create exceptions of segmentation and tokenization.
- nonSegmentedWords - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker
-
Non segmented words, candidates for sentence breaking.
- noPeriodSpaceEnd - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
Non-period end of sentence markers (?!), one or more spaces, sentence
starters.
- normalize(String) - Static method in class eus.ixa.ixa.pipe.ml.features.WordShapeSuperSenseFeatureGenerator
-
Normalize upper case, lower case, digits and duplicate characters.
- normalizeDoubleQuotes(List<Token>, String) - Static method in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
Normalizes double and ambiguous quotes according to language
and corpus.
- normalizeLexiconName(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.IOUtils
-
Remove punctuation.
- normalizeQuotes(List<Token>, String) - Static method in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
Normalizes non-ambiguous quotes according to language and corpus.
- Normalizer - Class in eus.ixa.ixa.pipe.ml.tok
-
Normalizer class for converting punctuation mostly following various corpora
conventions such as Penn TreeBank, Ancora, Tutpenn, Tiger and CTAG.
- normalizeTokens(List<List<Token>>, String) - Static method in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Set as value of the token its normalized counterpart.
- numbers - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker
-
Do not segment numbers like 11.1.
- NumericNameLexer - Class in eus.ixa.ixa.pipe.ml.lexer
-
NumericNameLexer is based on the NumericLexer class.
- NumericNameLexer(BufferedReader, SequenceLabelFactory) - Constructor for class eus.ixa.ixa.pipe.ml.lexer.NumericNameLexer
-
Construct a new NumericNameLexer.
- NumericNERTagger - Class in eus.ixa.ixa.pipe.ml.nerc
-
- NumericNERTagger(BufferedReader, SequenceLabelFactory) - Constructor for class eus.ixa.ixa.pipe.ml.nerc.NumericNERTagger
-
- PARAGRAPH - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
Constant representing a paragraph (a doubleLine) in the original input
text.
- paragraph - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
Paragraph pattern.
- Parse - Class in eus.ixa.ixa.pipe.ml.parse
-
Data structure for holding parse constituents.
- Parse(String, Span, String, double, int) - Constructor for class eus.ixa.ixa.pipe.ml.parse.Parse
-
Creates a new parse node for this specified text and span of the specified type with the specified probability
and the specified head index.
- Parse(String, Span, String, double, Parse) - Constructor for class eus.ixa.ixa.pipe.ml.parse.Parse
-
Creates a new parse node for this specified text and span of the specified type with the specified probability
and the specified head and head index.
- parse(Parse, int) - Method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
- parse(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
- parse(String, boolean) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample
-
- parse(String, String, boolean) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample
-
- PARSE_TRAINER_NAME - Static variable in class eus.ixa.ixa.pipe.ml.CLI
-
- parseCLI(String[]) - Method in class eus.ixa.ixa.pipe.ml.CLI
-
Parse the command interface parameters with the argParser.
- parseLine(String, ShiftReduceParser, int) - Static method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
- parseParse(String) - Static method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Parses the specified tree-bank style parse string and return a Parse structure for that string.
- parseParse(String, GapLabeler) - Static method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Parses the specified tree-bank style parse string and return a Parse structure
for that string.
- ParserEvaluate - Class in eus.ixa.ixa.pipe.ml.eval
-
Evaluation class mostly using ParserEvaluator.
- ParserEvaluate(Properties) - Constructor for class eus.ixa.ixa.pipe.ml.eval.ParserEvaluate
-
Construct an evaluator.
- ParserEvaluationMonitor - Interface in eus.ixa.ixa.pipe.ml.parse
-
- ParserEvaluator - Class in eus.ixa.ixa.pipe.ml.parse
-
Class for ParserEvaluator.
- ParserEvaluator(ShiftReduceParser, ParserEvaluationMonitor...) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserEvaluator
-
Construct a parser with some evaluation monitors.
- ParserEventStream - Class in eus.ixa.ixa.pipe.ml.parse
-
Wrapper class for one of four parser event streams.
- ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum, ParserFactory) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserEventStream
-
- ParserEventStream(ObjectStream<Parse>, HeadRules, ParserEventTypeEnum) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserEventStream
-
- ParserFactory - Class in eus.ixa.ixa.pipe.ml.parse
-
- ParserFactory() - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserFactory
-
- ParserFactory(Dictionary, Map<String, Object>) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserFactory
-
- ParserModel - Class in eus.ixa.ixa.pipe.ml.parse
-
ParserModel class.
- ParserModel(String, MaxentModel, MaxentModel, SequenceLabelerModel, SequenceLabelerModel, int, HeadRules, Map<String, String>) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserModel
-
- ParserModel(String, MaxentModel, MaxentModel, SequenceLabelerModel, SequenceLabelerModel, int, HeadRules) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserModel
-
- ParserModel(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserModel
-
- ParserModel(File) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserModel
-
- ParserModel(URL) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParserModel
-
- parserTrain() - Method in class eus.ixa.ixa.pipe.ml.CLI
-
Main access to the ShiftReduceParser train functionalities.
- ParseSampleStream - Class in eus.ixa.ixa.pipe.ml.parse
-
- ParseSampleStream(ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ParseSampleStream
-
- ParseToCoNLL02Format - Class in eus.ixa.ixa.pipe.ml.formats
-
Obtains chunks from a Penn Treebank formatted parse tree and
encodes them in CoNLL 2000 format.
- ParseToCoNLL02Format(ObjectStream<Parse>) - Constructor for class eus.ixa.ixa.pipe.ml.formats.ParseToCoNLL02Format
-
- ParseToTabulatedFormat - Class in eus.ixa.ixa.pipe.ml.formats
-
Obtains the POS tags from a Penn Treebank formatted parse tree and
and encodes them in TabulatedFormat for training a
POS tagger.
- ParseToTabulatedFormat(ObjectStream<Parse>) - Constructor for class eus.ixa.ixa.pipe.ml.formats.ParseToTabulatedFormat
-
- parseval() - Method in class eus.ixa.ixa.pipe.ml.CLI
-
Main evaluation entry point.
- PARSEVAL_PARSER_NAME - Static variable in class eus.ixa.ixa.pipe.ml.CLI
-
- pathLengths - Static variable in class eus.ixa.ixa.pipe.ml.features.BrownTokenClasses
-
- PennTreebankHeadRules - Class in eus.ixa.ixa.pipe.ml.parse
-
Class for storing the English head rules associated with parsing.
- PennTreebankHeadRules(Reader) - Constructor for class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules
-
Creates a new set of head rules based on the specified reader.
- PennTreebankHeadRules.PennTreebankHeadRulesSerializer - Class in eus.ixa.ixa.pipe.ml.parse
-
- PennTreebankHeadRulesSerializer() - Constructor for class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules.PennTreebankHeadRulesSerializer
-
- POSBaselineContextGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
A baseline context generator for the POS Tagger.
- POSBaselineContextGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.POSBaselineContextGenerator
-
- POSDictionary - Class in eus.ixa.ixa.pipe.ml.resources
-
Class to load a serialized TabulatedFormat corpus and create an
automatic dictionary from it.
- POSDictionary(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.resources.POSDictionary
-
- POSDictionary.POSDictionarySerializer - Class in eus.ixa.ixa.pipe.ml.resources
-
- POSDictionaryFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
- POSDictionaryFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.POSDictionaryFeatureGenerator
-
- POSDictionarySerializer() - Constructor for class eus.ixa.ixa.pipe.ml.resources.POSDictionary.POSDictionarySerializer
-
- POSTagModelFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
This feature generator can also be placed in a sliding window.
- POSTagModelFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.POSTagModelFeatureGenerator
-
- postProcessDuplicatedSpans(List<Span>, Span[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Removes spans from the preList if the span is contained in the postList.
- PredicateContext - Class in eus.ixa.ixa.pipe.ml.resources
-
Class to load a PredicateContext resource containing
predicate and window feature information about that predicate.
- PredicateContext(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.resources.PredicateContext
-
- PredicateContext.PredicateContextSerializer - Class in eus.ixa.ixa.pipe.ml.resources
-
- PredicateContextFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
- PredicateContextFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.PredicateContextFeatureGenerator
-
- PredicateContextSerializer() - Constructor for class eus.ixa.ixa.pipe.ml.resources.PredicateContext.PredicateContextSerializer
-
- PrefixFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
- PrefixFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.PrefixFeatureGenerator
-
- Prev2MapFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
- Prev2MapFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.Prev2MapFeatureGenerator
-
- PREV_PREFIX - Static variable in class eus.ixa.ixa.pipe.ml.features.WindowFeatureGenerator
-
- PreviousMapFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
- PreviousMapFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.PreviousMapFeatureGenerator
-
- PreviousMapTokenFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
- PreviousMapTokenFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.PreviousMapTokenFeatureGenerator
-
- printError(Span[], Span[], T, T, String) - Method in class eus.ixa.ixa.pipe.ml.sequence.EvaluationErrorPrinter
-
- printError(String, Span[], Span[], T, T, String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.EvaluationErrorPrinter
-
- printError(Span[], Span[], T, T, String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.EvaluationErrorPrinter
-
- printError(String[], String[], T, T, String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.EvaluationErrorPrinter
-
- printError(T, T) - Method in class eus.ixa.ixa.pipe.ml.sequence.EvaluationErrorPrinter
-
- printHeads(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.CollinsHeadFinder
-
- printHeads(Parse) - Method in interface eus.ixa.ixa.pipe.ml.parse.HeadFinder
-
Reads a Parse object and adds the heads for each constituent following some
head rules.
- printList(List<String>) - Static method in class eus.ixa.ixa.pipe.ml.features.BrownTokenClasses
-
- probs(double[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
Populates the specified array with the probabilities of the last decoded
sequence.
- probs() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
Returns an array with the probabilities of the last decoded sequence.
- probs(Span[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
Returns 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.
- processLemmaBaselineFeaturesRange(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- processMFSFeaturesRange(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- processNgramRange(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- processPOSTagModelFeaturesRange(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- processSample(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.ParserEvaluator
-
- processSample(SequenceLabelSample) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator
-
- processSuperSenseFeaturesRange(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- processTokenClassFeaturesRange(String) - Static method in class eus.ixa.ixa.pipe.ml.utils.Flags
-
- production(Parse, boolean) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator
-
Generates a string representing the grammar rule production that the specified parse
is starting.
- pruneParse(Parse) - Static method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Prune the specified sentence parse of vacuous productions.
- punct(Parse, int) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator
-
Creates punctuation feature for the specified punctuation at the specified index based on the punctuation mark.
- punctbo(Parse, int) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator
-
Creates punctuation feature for the specified punctuation at the specfied index based on the punctuation's tag.
- punctSet - Variable in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator
-
Set of punctuation to be used in generating features.
- punctSet - Variable in class eus.ixa.ixa.pipe.ml.parse.AbstractParserEventStream
-
- punctSpaceMultiPunct - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
- ( C
- punctSpaceUpper - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
End of sentence marker, sentence starter punctuation and upper case.
- segmenterExceptions(String[]) - Method in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker
-
Segment the rest of the text taking into account some exceptions for
periods as sentence breakers.
- segmentSentence() - Method in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
- segmentSentence() - Method in interface eus.ixa.ixa.pipe.ml.tok.SentenceSegmenter
-
- SentenceFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
- SentenceFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.SentenceFeatureGenerator
-
- SentenceSegmenter - Interface in eus.ixa.ixa.pipe.ml.tok
-
- SEQ_TRAINER_NAME - Static variable in class eus.ixa.ixa.pipe.ml.CLI
-
- seqToSpans(String[]) - Method in class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource
-
Tag the current sentence.
- seqToSpans(String[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler
-
Get array of Spans from a list of tokens.
- seqToStrings(String[]) - Method in class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler
-
- seqTrain() - Method in class eus.ixa.ixa.pipe.ml.CLI
-
Main access to the Sequence Labeler train functionalities.
- SequenceLabel - Class in eus.ixa.ixa.pipe.ml.sequence
-
A
Sequence object contains a single String, a
Span, a
startOffset and the length of the String.
- SequenceLabel() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
Create a new Sequence with a null content (i.e., str).
- SequenceLabel(String, String) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
Create a new Sequence with the given string.
- SequenceLabel(String, String, Span) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
Create a new Sequence with the given string and Span.
- SequenceLabel(String, String, int, int) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
Creates a new Sequence with the given content.
- SequenceLabel(String, String, Span, int, int) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
Creates a new Sequence with the given content.
- SequenceLabeler - Interface in eus.ixa.ixa.pipe.ml.sequence
-
The interface for sequence labelers which provide tags for a sequence of tokens.
- SequenceLabelerCodec<T> - Interface in eus.ixa.ixa.pipe.ml.sequence
-
- SequenceLabelerContextGenerator - Interface in eus.ixa.ixa.pipe.ml.sequence
-
Interface for generating the context for a sequence labeler by specifying a
set of feature generators.
- SequenceLabelerCrossValidator - Class in eus.ixa.ixa.pipe.ml.sequence
-
- SequenceLabelerCrossValidator(String, String, TrainingParameters, byte[], Map<String, Object>, SequenceLabelerCodec<String>, SequenceLabelerEvaluationMonitor...) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCrossValidator
-
SequenceLabeler Cross Validator.
- SequenceLabelerCrossValidator(String, String, TrainingParameters, byte[], Map<String, Object>, SequenceLabelerEvaluationMonitor...) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCrossValidator
-
- SequenceLabelerCrossValidator(String, String, TrainingParameters, SequenceLabelerFactory, SequenceLabelerEvaluationMonitor...) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerCrossValidator
-
- SequenceLabelerDetailedFMeasureListener - Class in eus.ixa.ixa.pipe.ml.sequence
-
- SequenceLabelerDetailedFMeasureListener() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerDetailedFMeasureListener
-
- SequenceLabelerEvaluate - Class in eus.ixa.ixa.pipe.ml.eval
-
- SequenceLabelerEvaluate(Properties) - Constructor for class eus.ixa.ixa.pipe.ml.eval.SequenceLabelerEvaluate
-
Construct an evaluator.
- SequenceLabelerEvaluationErrorListener - Class in eus.ixa.ixa.pipe.ml.sequence
-
A default implementation of EvaluationMonitor that prints
to an output stream.
- SequenceLabelerEvaluationErrorListener() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluationErrorListener
-
Creates a listener that will print to System.err
- SequenceLabelerEvaluationErrorListener(OutputStream) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluationErrorListener
-
- SequenceLabelerEvaluationMonitor - Interface in eus.ixa.ixa.pipe.ml.sequence
-
- SequenceLabelerEvaluator - Class in eus.ixa.ixa.pipe.ml.sequence
-
- SequenceLabelerEvaluator(SequenceLabeler, SequenceLabelerEvaluationMonitor...) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator
-
- SequenceLabelerEvaluator(ObjectStream<SequenceLabelSample>, String, SequenceLabeler, SequenceLabelerEvaluationMonitor...) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEvaluator
-
- SequenceLabelerEventStream - Class in eus.ixa.ixa.pipe.ml.sequence
-
Class for creating an event stream out of data files for training an name
finder.
- SequenceLabelerEventStream(ObjectStream<SequenceLabelSample>, String, SequenceLabelerContextGenerator, SequenceLabelerCodec) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEventStream
-
Creates a new name finder event stream using the specified data stream and context generator.
- SequenceLabelerEventStream(ObjectStream<SequenceLabelSample>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerEventStream
-
- SequenceLabelerFactory - Class in eus.ixa.ixa.pipe.ml.sequence
-
- SequenceLabelerFactory() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory
-
- SequenceLabelerFactory(byte[], Map<String, Object>, SequenceLabelerCodec<String>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerFactory
-
- SequenceLabelerME - Class in eus.ixa.ixa.pipe.ml.sequence
-
- SequenceLabelerME(SequenceLabelerModel) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
- SequenceLabelerModel - Class in eus.ixa.ixa.pipe.ml.sequence
-
- SequenceLabelerModel(String, SequenceClassificationModel<String>, byte[], Map<String, Object>, Map<String, String>, SequenceLabelerCodec<String>, SequenceLabelerFactory) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel
-
- SequenceLabelerModel(String, MaxentModel, int, byte[], Map<String, Object>, Map<String, String>, SequenceLabelerCodec<String>, SequenceLabelerFactory) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel
-
- SequenceLabelerModel(String, MaxentModel, byte[], Map<String, Object>, Map<String, String>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel
-
- SequenceLabelerModel(String, MaxentModel, Map<String, Object>, Map<String, String>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel
-
- SequenceLabelerModel(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel
-
- SequenceLabelerModel(File) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel
-
- SequenceLabelerModel(URL) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerModel
-
- SequenceLabelerModel.FeatureGeneratorCreationError - Exception in eus.ixa.ixa.pipe.ml.sequence
-
- SequenceLabelerSequenceStream - Class in eus.ixa.ixa.pipe.ml.sequence
-
- SequenceLabelerSequenceStream(ObjectStream<SequenceLabelSample>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream
-
- SequenceLabelerSequenceStream(ObjectStream<SequenceLabelSample>, AdaptiveFeatureGenerator) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream
-
- SequenceLabelerSequenceStream(ObjectStream<SequenceLabelSample>, AdaptiveFeatureGenerator, boolean) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream
-
- SequenceLabelerSequenceStream(ObjectStream<SequenceLabelSample>, SequenceLabelerContextGenerator) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream
-
- SequenceLabelerSequenceStream(ObjectStream<SequenceLabelSample>, SequenceLabelerContextGenerator, boolean) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream
-
- SequenceLabelerSequenceStream(ObjectStream<SequenceLabelSample>, SequenceLabelerContextGenerator, boolean, SequenceLabelerCodec<String>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceStream
-
- SequenceLabelerSequenceValidator - Class in eus.ixa.ixa.pipe.ml.sequence
-
- SequenceLabelerSequenceValidator() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerSequenceValidator
-
- SequenceLabelerTrainer - Class in eus.ixa.ixa.pipe.ml
-
Trainer based on Apache OpenNLP Machine Learning API.
- SequenceLabelerTrainer(TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer
-
Construct a trainer with training and test data, and with options for
language, beamsize for decoding, sequence codec and corpus format (conll or opennlp).
- SequenceLabelFactory - Class in eus.ixa.ixa.pipe.ml.sequence
-
This class provides the functionality to create
SequenceLabel objects.
- SequenceLabelFactory() - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelFactory
-
- SequenceLabelSample - Class in eus.ixa.ixa.pipe.ml.sequence
-
Class for holding sequences for a single unit of text.
- SequenceLabelSample(String, String[], Span[], String[][], boolean) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample
-
- SequenceLabelSample(String[], Span[], String[][], boolean) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample
-
Initializes the current instance.
- SequenceLabelSample(String[], Span[], boolean) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample
-
- SequenceLabelSampleDataStream - Class in eus.ixa.ixa.pipe.ml.sequence
-
- SequenceLabelSampleDataStream(ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSampleDataStream
-
- SequenceLabelSampleTypeFilter - Class in eus.ixa.ixa.pipe.ml.sequence
-
A stream which removes Name Samples which do not have a certain type.
- SequenceLabelSampleTypeFilter(String[], ObjectStream<SequenceLabelSample>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSampleTypeFilter
-
- SequenceLabelSampleTypeFilter(Set<String>, ObjectStream<SequenceLabelSample>) - Constructor for class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSampleTypeFilter
-
- sequenceLength() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
- SequenceModelResource - Class in eus.ixa.ixa.pipe.ml.resources
-
This class loads a SequenceLabeler model required for
the Feature Generation.
- SequenceModelResource(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource
-
Construct the SequenceModelResource from the inputstream.
- SequenceModelResource.SequenceModelResourceSerializer - Class in eus.ixa.ixa.pipe.ml.resources
-
- SequenceModelResourceSerializer() - Constructor for class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource.SequenceModelResourceSerializer
-
- serialize(DictionaryLemmatizer, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer.DictionaryLemmatizerSerializer
-
- serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.ml.lemma.DictionaryLemmatizer
-
- serialize(AncoraHeadRules, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules.AncoraHeadRulesSerializer
-
- serialize(Writer) - Method in class eus.ixa.ixa.pipe.ml.parse.AncoraHeadRules
-
Writes the head rules to the writer in a format suitable for loading the
head rules again with the constructor.
- serialize(PennTreebankHeadRules, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules.PennTreebankHeadRulesSerializer
-
- serialize(Writer) - Method in class eus.ixa.ixa.pipe.ml.parse.PennTreebankHeadRules
-
Writes the head rules to the writer in a format suitable for loading the
head rules again with the constructor.
- serialize(Dictionary, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary.DictionarySerializer
-
- serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.Dictionary
-
- serialize(MFSResource, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource.MFSResourceSerializer
-
- serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.MFSResource
-
Serialize the lexicon in the original format.
- serialize(POSDictionary, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.POSDictionary.POSDictionarySerializer
-
- serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.POSDictionary
-
Serialize the dictionary to original corpus format
- serialize(PredicateContext, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.PredicateContext.PredicateContextSerializer
-
- serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.PredicateContext
-
Serialize the dictionary to original corpus format
- serialize(SequenceModelResource, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource.SequenceModelResourceSerializer
-
- serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.SequenceModelResource
-
Serialize this model into the overall Sequence model.
- serialize(OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.WordCluster
-
- serialize(WordCluster, OutputStream) - Method in class eus.ixa.ixa.pipe.ml.resources.WordCluster.WordClusterSerializer
-
- setChild(int, String) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Replaces the child at the specified index with a new child with the specified label.
- setChunkerFactory(SequenceLabelerFactory) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
- setChunkingProperties(String, String) - Method in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties
-
Generate Properties object for chunking.
- setDerivation(StringBuffer) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Specifies the derivation string to be associated with this parse.
- setDictionary(Dictionary) - Method in class eus.ixa.ixa.pipe.ml.parse.ParserFactory
-
- setFromString(String) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
Set the value from a String.
- setLabel(String) - Method in class eus.ixa.ixa.pipe.ml.parse.Constituent
-
Assigns the label to the constituent.
- setLabel(String) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Assigns this parse the specified label.
- setLeftToRight(boolean) - Method in class eus.ixa.ixa.pipe.ml.parse.HeadRule
-
- setNextPunctuation(Collection<Parse>) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Sets the set of punctuation tags which follow this parse.
- setParent(Parse) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Specifies the parent parse node for this constituent.
- setParents(Parse) - Static method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
Assigns parent references for the specified parse so that they
are consistent with the children references.
- setParserFactory(ParserFactory) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
- setPOSLemmaProperties(String, String, String, String, String, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties
-
Generate Properties object for POS tagging and Lemmatizing.
- setPrevPunctuation(Collection<Parse>) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Sets the set of punctuation tags which preceed this parse.
- setSequenceCodec(String) - Method in class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer
-
Set the sequence codec.
- setSequenceCodec(String) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
Set the sequence codec.
- setSequenceLabelerFactory(SequenceLabelerFactory) - Method in class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer
-
- setSequenceLength(int) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
- setSpan(Span) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
Set the Span for the Name.
- setStartOffset(int) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
- setStartOffset(int) - Method in class eus.ixa.ixa.pipe.ml.tok.Token
-
Set the token offset.
- setTaggerFactory(SequenceLabelerFactory) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
- setTags(String[]) - Method in class eus.ixa.ixa.pipe.ml.parse.HeadRule
-
- setTermTypeNAF(String) - Static method in class eus.ixa.ixa.pipe.ml.pos.TagSetMappingsToNAF
-
Set the term type attribute based on the pos value.
- setTokenizeProperties(String, String, String, String) - Static method in class eus.ixa.ixa.pipe.ml.utils.AnnotateProperties
-
Creates the Properties object required to construct a Sentence
Segmenter and a Tokenizer.
- setTokenLength(int) - Method in class eus.ixa.ixa.pipe.ml.tok.Token
-
Set the length of the token.
- setTokenValue(String) - Method in class eus.ixa.ixa.pipe.ml.tok.Token
-
Set the value for the token.
- setType(String) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Set the type of this constituent to the specified type.
- setType(String) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
Set type of the Sequence.
- setType(String) - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
- setValue(String) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
Set the value for the Sequence.
- setWindow(TrainingParameters) - Static method in class eus.ixa.ixa.pipe.ml.features.XMLFeatureDescriptor
-
Set the window length from the training parameters file.
- ShiftReduceParser - Class in eus.ixa.ixa.pipe.ml.parse
-
Class for a shift reduce style parser based on Adwait Ratnaparkhi's 1998 thesis.
- ShiftReduceParser(ParserModel) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
- ShiftReduceParser(ParserModel, int, double) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
- ShiftReduceParser(MaxentModel, MaxentModel, SequenceLabelerME, SequenceLabelerME, HeadRules, int, double) - Constructor for class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
Creates a new parser using the specified models and head rules using the specified beam size and advance percentage.
- ShiftReduceParserTrainer - Class in eus.ixa.ixa.pipe.ml
-
- ShiftReduceParserTrainer(TrainingParameters, TrainingParameters, TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
Construct a trainer with training and test data, and with options for
language, beamsize for decoding, sequence codec and corpus format (conll or
opennlp).
- ShiftReduceParserTrainer(TrainingParameters, TrainingParameters) - Constructor for class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
Construct a trainer with training and test data, and with options for
language, beamsize for decoding, sequence codec and corpus format (conll or
opennlp).
- show(StringBuffer) - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Appends the specified string buffer with a string representation of this parse.
- show() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Displays this parse using Penn Treebank-style formatting.
- showCodeTree() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Prints to standard out a representation of the specified parse which
contains hash codes so that parent/child relationships can be explicitly seen.
- SimpleDictionaryTagger - Class in eus.ixa.ixa.pipe.ml.pos
-
POS tag by simple dictionary lookup into a hashmap built from a file
containing, for each line, word\tablemma\tabpostag.
- SimpleDictionaryTagger(InputStream) - Constructor for class eus.ixa.ixa.pipe.ml.pos.SimpleDictionaryTagger
-
Construct a hashmap from the input tab separated dictionary.
- singleAsciiQuote - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
- SPACE_DELIMITER - Static variable in class eus.ixa.ixa.pipe.ml.utils.IOUtils
-
- spaceDashSpace - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Dashes or slashes preceded or followed by space.
- Span - Class in eus.ixa.ixa.pipe.ml.utils
-
Class for storing start and end integer offsets.
- Span(int, int, String) - Constructor for class eus.ixa.ixa.pipe.ml.utils.Span
-
Initializes a new Span Object.
- Span(int, int, String, double) - Constructor for class eus.ixa.ixa.pipe.ml.utils.Span
-
- Span(int, int) - Constructor for class eus.ixa.ixa.pipe.ml.utils.Span
-
Initializes a new Span Object.
- Span(int, int, double) - Constructor for class eus.ixa.ixa.pipe.ml.utils.Span
-
- Span(Span, int) - Constructor for class eus.ixa.ixa.pipe.ml.utils.Span
-
Initializes a new Span object with an existing Span which is shifted by an
offset.
- Span(Span, double) - Constructor for class eus.ixa.ixa.pipe.ml.utils.Span
-
Creates a new immutable span based on an existing span, where the existing
span did not include the prob
- spansToStrings(Span[], CharSequence) - Static method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Converts an array of
Spans to an array of
Strings.
- spansToStrings(Span[], String[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.Span
-
- specials - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Tokenize everything but these characters.
- splitLine(String, char, String[]) - Static method in class eus.ixa.ixa.pipe.ml.utils.StringUtils
-
Fast line splitting with a separator, typically a tab or
space character.
- spuriousParagraph - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedSegmenter
-
If paragraph mark, maybe some space and lowercase or punctuation (not start
of sentence markers) then it is a spurious paragraph.
- START - Static variable in class eus.ixa.ixa.pipe.ml.sequence.BilouCodec
-
- START - Static variable in class eus.ixa.ixa.pipe.ml.sequence.BioCodec
-
- START_TAG - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSampleDataStream
-
- START_TAG_PREFIX - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSampleDataStream
-
- startDigit - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker
-
Starts with a digit.
- startLower - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker
-
Starts with a lowercase.
- startOffset() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
- startOffset() - Method in class eus.ixa.ixa.pipe.ml.tok.Token
-
Get the token starting offset.
- startPattern - Static variable in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
- startPunct - Static variable in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker
-
Starts with punctuation that is not beginning of sentence marker.
- startsWith(Span) - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Returns true if the specified span is the begin of this span and the
specified span is contained in this span.
- StatisticalSequenceLabeler - Class in eus.ixa.ixa.pipe.ml
-
Statistical Sequence Labeling based on Apache OpenNLP Machine Learning API.
- StatisticalSequenceLabeler(Properties) - Constructor for class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler
-
Construct a probabilistic sequence labeler.
- StatisticalSequenceLabeler(String, String) - Constructor for class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler
-
Construct a StatisticalSequenceLabeler specifying the model to be used.
- StatisticalSequenceLabeler(Properties, SequenceLabelFactory) - Constructor for class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler
-
Construct a StatisticalSequenceLabeler specifying the factory to
be used.
- StatisticalSequenceLabeler(String, String, SequenceLabelFactory) - Constructor for class eus.ixa.ixa.pipe.ml.StatisticalSequenceLabeler
-
Construct a StatisticalSequenceLabeler specifying the model and the
factory to be used.
- StringUtils - Class in eus.ixa.ixa.pipe.ml.utils
-
Pattern matching and other utility string functions.
- SuffixFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
- SuffixFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.SuffixFeatureGenerator
-
- SuperSenseFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
Generates Ciaramita and Altun (2006) features for super sense tagging.
- SuperSenseFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.SuperSenseFeatureGenerator
-
- surround(Parse, int, String, Collection<Parse>, List<String>) - Method in class eus.ixa.ixa.pipe.ml.parse.AbstractContextGenerator
-
Generates features for nodes surrounding a completed node of the specified type.
- TAB_DELIMITER - Static variable in class eus.ixa.ixa.pipe.ml.utils.IOUtils
-
- TabulatedFormat - Class in eus.ixa.ixa.pipe.ml.formats
-
2 fields in tabulated format: word\tabclass\n.
- TabulatedFormat(String, ObjectStream<String>) - Constructor for class eus.ixa.ixa.pipe.ml.formats.TabulatedFormat
-
Construct a Sequence Stream from a language and a ObjectStream.
- TabulatedFormat(String, InputStreamFactory) - Constructor for class eus.ixa.ixa.pipe.ml.formats.TabulatedFormat
-
Construct a Sequence Stream from a language and an input stream.
- tag(String, String) - Method in interface eus.ixa.ixa.pipe.ml.pos.DictionaryTagger
-
Postag by dictionary lookup.
- tag(String, String) - Method in class eus.ixa.ixa.pipe.ml.pos.MorfologikTagger
-
Get the postag for a surface form from a FSA morfologik generated
dictionary.
- tag(String, String) - Method in class eus.ixa.ixa.pipe.ml.pos.SimpleDictionaryTagger
-
- tag(String[]) - Method in interface eus.ixa.ixa.pipe.ml.sequence.SequenceLabeler
-
Generates tags for the given sequence, typically a sentence, returning token spans for any identified sequences.
- tag(String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
- tag(String[], String[][]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
Generates sequence tags for the given sequence, returning
spans for any identified sequences.
- tag(int, String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
Returns at most the specified number of taggings for the specified sentence.
- TagSetMappingsToNAF - Class in eus.ixa.ixa.pipe.ml.pos
-
Mappings from POS tagsets to NAF pos attribute.
- tagToStrings(String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
- THREE_DOTS - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
- threeQuarters - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
- TLD - Static variable in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
Top level domains for stopping the wrongLink pattern below.
- TO_ASCII_SINGLE_QUOTE - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
- toAsciiDoubleQuote - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
- toAsciiSingleQuote - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-
- TOK_NODE - Static variable in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
The label for a token node.
- Token - Class in eus.ixa.ixa.pipe.ml.tok
-
A Token object contains a single String, a startOffset and the
length of the String.
- Token() - Constructor for class eus.ixa.ixa.pipe.ml.tok.Token
-
Create a new token with a null content.
- Token(String) - Constructor for class eus.ixa.ixa.pipe.ml.tok.Token
-
- Token(String, int, int) - Constructor for class eus.ixa.ixa.pipe.ml.tok.Token
-
Creates a new Token with the given content.
- TokenClassFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
Generates a class name for the specified token.
- TokenClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.TokenClassFeatureGenerator
-
- TokenFactory - Class in eus.ixa.ixa.pipe.ml.tok
-
- TokenFactory() - Constructor for class eus.ixa.ixa.pipe.ml.tok.TokenFactory
-
Constructor for a new token factory which will add in the word and the
begin/end position annotations.
- TokenFactory(boolean) - Constructor for class eus.ixa.ixa.pipe.ml.tok.TokenFactory
-
Constructor that allows one to choose if index annotation indicating
begin/end position will be included in the token.
- TokenFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
Generates a feature which contains the token itself.
- TokenFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.TokenFeatureGenerator
-
- tokenize(String[]) - Method in class eus.ixa.ixa.pipe.ml.tok.RuleBasedTokenizer
-
- tokenize(String[]) - Method in interface eus.ixa.ixa.pipe.ml.tok.Tokenizer
-
- Tokenizer - Interface in eus.ixa.ixa.pipe.ml.tok
-
- TokenizerNonBreaker(String) - Method in class eus.ixa.ixa.pipe.ml.tok.NonPeriodBreaker
-
It decides when periods do not need to be tokenized.
- tokenLength() - Method in class eus.ixa.ixa.pipe.ml.tok.Token
-
Get the token length.
- tokenShapeFeature(String) - Static method in class eus.ixa.ixa.pipe.ml.features.TokenClassFeatureGenerator
-
- TOP_NODE - Static variable in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
The label for the top node.
- topKSequences(String[]) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
- topKSequences(String[], String[], double) - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
- toString() - Method in class eus.ixa.ixa.pipe.ml.features.WindowFeatureGenerator
-
- toString() - Method in class eus.ixa.ixa.pipe.ml.parse.Parse
-
Represents this parse in a human readable way.
- toString() - Method in class eus.ixa.ixa.pipe.ml.sequence.DetailedFMeasureListener
-
- toString() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabel
-
- toString() - Method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelSample
-
- toString() - Method in class eus.ixa.ixa.pipe.ml.tok.Token
-
- toString() - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Generates a human readable string.
- train(String, ObjectStream<Parse>, HeadRules, TrainingParameters, ParserFactory, TrainingParameters, SequenceLabelerFactory, TrainingParameters, SequenceLabelerFactory) - Static method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
- train(String, ObjectStream<Parse>, HeadRules, TrainingParameters, ParserFactory, SequenceLabelerModel, TrainingParameters, SequenceLabelerFactory) - Static method in class eus.ixa.ixa.pipe.ml.parse.ShiftReduceParser
-
- train(String, String, ObjectStream<SequenceLabelSample>, TrainingParameters, SequenceLabelerFactory) - Static method in class eus.ixa.ixa.pipe.ml.sequence.SequenceLabelerME
-
- train(TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.SequenceLabelerTrainer
-
- train(TrainingParameters, TrainingParameters, TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
Train a parser model from the Treebank data.
- train(TrainingParameters, InputStream, TrainingParameters) - Method in class eus.ixa.ixa.pipe.ml.ShiftReduceParserTrainer
-
Train a parser model providing an already trained POS tagger.
- TrigramClassFeatureGenerator - Class in eus.ixa.ixa.pipe.ml.features
-
Adds trigram features based on tokens and token class using
TokenClassFeatureGenerator.
- TrigramClassFeatureGenerator() - Constructor for class eus.ixa.ixa.pipe.ml.features.TrigramClassFeatureGenerator
-
- trim(CharSequence) - Method in class eus.ixa.ixa.pipe.ml.utils.Span
-
Return a copy of this span with leading and trailing white spaces removed.
- twoThirds - Static variable in class eus.ixa.ixa.pipe.ml.tok.Normalizer
-