Package opennlp.tools.lemmatizer
Class DefaultLemmatizerContextGenerator
java.lang.Object
opennlp.tools.lemmatizer.DefaultLemmatizerContextGenerator
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LemmatizerContextGenerator,BeamSearchContextGenerator<String>
Simple feature generator for learning statistical lemmatizers.
Features based on Grzegorz ChrupaĆa. 2008. Towards a Machine-Learning Architecture for Lexical Functional Grammar Parsing. PhD dissertation, Dublin City University
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionString[]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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Constructor Details
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DefaultLemmatizerContextGenerator
public DefaultLemmatizerContextGenerator()
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Method Details
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getContext
public String[] getContext(int index, String[] sequence, String[] priorDecisions, Object[] additionalContext) Description copied from interface:BeamSearchContextGeneratorReturns the context for the specified position in the specifiedsequence(list).- Specified by:
getContextin interfaceBeamSearchContextGenerator<String>- Parameters:
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 addition context specific to a class implementing this interface.- Returns:
- The context for the specified
indexin the specifiedsequence.
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getContext
Description copied from interface:LemmatizerContextGeneratorReturns the contexts for lemmatizing of the specified index.- Specified by:
getContextin interfaceLemmatizerContextGenerator- Parameters:
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.- Returns:
- An array of predictive contexts on which a model basis its decisions.
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