Package opennlp.tools.lemmatizer
Klasse DefaultLemmatizerContextGenerator
java.lang.Object
opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
- Alle implementierten Schnittstellen:
LemmatizerContextGenerator,BeamSearchContextGenerator<String>
Simple feature generator for learning statistical lemmatizers.
Features based on Grzegorz Chrupała. 2008. Towards a Machine-Learning Architecture for Lexical Functional Grammar Parsing. PhD dissertation, Dublin City University
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Konstruktorübersicht
Konstruktoren -
Methodenübersicht
Modifizierer und TypMethodeBeschreibungString[]getContext(int index, String[] sequence, String[] priorDecisions, Object[] additionalContext) Returns the context for the specified position in the specifiedsequence(list).String[]getContext(int index, String[] toks, String[] tags, String[] preds) Returns the contexts for lemmatizing of the specified index.
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Konstruktordetails
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DefaultLemmatizerContextGenerator
public DefaultLemmatizerContextGenerator()
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Methodendetails
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getContext
public String[] getContext(int index, String[] sequence, String[] priorDecisions, Object[] additionalContext) Beschreibung aus Schnittstelle kopiert:BeamSearchContextGeneratorReturns the context for the specified position in the specifiedsequence(list).- Angegeben von:
getContextin SchnittstelleBeamSearchContextGenerator<String>- Parameter:
index- The index of thesequence.sequence- The sequence ofitemsover which the beam search is performed.priorDecisions- The sequence of decisions made prior to the context for which this decision is being made.additionalContext- Any additional context specific to a class implementing this interface.- Gibt zurück:
- The context for the specified
indexin the specifiedsequence.
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getContext
Beschreibung aus Schnittstelle kopiert:LemmatizerContextGeneratorReturns the contexts for lemmatizing of the specified index.- Angegeben von:
getContextin SchnittstelleLemmatizerContextGenerator- Parameter:
index- The index of the token in the specifiedtoksarray for which the context should be constructed.toks- The tokens of the sentence. ThetoString()methods of these objects should return the token text.tags- The POS tags for the specifiedtoks.preds- The previous decisions made in the tagging of this sequence. Only indices less thaniwill be examined.- Gibt zurück:
- An array of predictive contexts on which a model basis its decisions.
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