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java.lang.Object opennlp.tools.parser.AbstractBottomUpParser opennlp.tools.parser.chunking.Parser
public class Parser
Class for a shift reduce style parser based on Adwait Ratnaparkhi's 1998 thesis.
Field Summary |
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Fields inherited from class opennlp.tools.parser.AbstractBottomUpParser |
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chunker, COMPLETE, completeParses, CONT, createDerivationString, debugOn, defaultAdvancePercentage, defaultBeamSize, headRules, INC_NODE, INCOMPLETE, K, M, ndh, odh, OTHER, punctSet, Q, reportFailedParse, START, tagger, TOK_NODE, TOP_NODE, ZERO |
Constructor Summary | |
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Parser(opennlp.model.MaxentModel buildModel,
opennlp.model.MaxentModel checkModel,
POSTagger tagger,
Chunker chunker,
HeadRules headRules)
Deprecated. |
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Parser(opennlp.model.MaxentModel buildModel,
opennlp.model.MaxentModel checkModel,
POSTagger tagger,
Chunker chunker,
HeadRules headRules,
int beamSize,
double advancePercentage)
Deprecated. |
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Parser(ParserModel model)
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Parser(ParserModel model,
int beamSize,
double advancePercentage)
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Method Summary | |
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protected Parse[] |
advanceParses(Parse p,
double probMass)
Advances the specified parse and returns the an array advanced parses whose probability accounts for more than the specified amount of probability mass. |
protected void |
advanceTop(Parse p)
Adds the "TOP" node to the specified parse. |
static void |
main(String[] args)
Deprecated. |
static opennlp.model.AbstractModel |
train(opennlp.model.EventStream es,
int iterations,
int cut)
Deprecated. |
static ParserModel |
train(String languageCode,
ObjectStream<Parse> parseSamples,
HeadRules rules,
int iterations,
int cut)
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Methods inherited from class opennlp.tools.parser.AbstractBottomUpParser |
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advanceChunks, advanceTags, buildDictionary, collapsePunctuation, mapParseIndex, parse, parse, setErrorReporting, setParents |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public Parser(ParserModel model, int beamSize, double advancePercentage)
public Parser(ParserModel model)
@Deprecated public Parser(opennlp.model.MaxentModel buildModel, opennlp.model.MaxentModel checkModel, POSTagger tagger, Chunker chunker, HeadRules headRules)
buildModel
- The model to assign constituent labels.checkModel
- The model to determine a constituent is complete.tagger
- The model to assign pos-tags.chunker
- The model to assign flat constituent labels.headRules
- The head rules for head word perculation.@Deprecated public Parser(opennlp.model.MaxentModel buildModel, opennlp.model.MaxentModel checkModel, POSTagger tagger, Chunker chunker, HeadRules headRules, int beamSize, double advancePercentage)
buildModel
- The model to assign constituent labels.checkModel
- The model to determine a constituent is complete.tagger
- The model to assign pos-tags.chunker
- The model to assign flat constituent labels.headRules
- The head rules for head word perculation.beamSize
- The number of different parses kept during parsing.advancePercentage
- The minimal amount of probability mass which advanced outcomes must represent.
Only outcomes which contribute to the top "advancePercentage" will be explored.Method Detail |
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protected void advanceTop(Parse p)
AbstractBottomUpParser
advanceTop
in class AbstractBottomUpParser
p
- The complete parse.protected Parse[] advanceParses(Parse p, double probMass)
AbstractBottomUpParser
advanceParses
in class AbstractBottomUpParser
p
- The parse to advance.probMass
- The amount of probability mass that should be accounted for by the advanced parses.@Deprecated public static opennlp.model.AbstractModel train(opennlp.model.EventStream es, int iterations, int cut) throws IOException
IOException
public static ParserModel train(String languageCode, ObjectStream<Parse> parseSamples, HeadRules rules, int iterations, int cut) throws IOException
IOException
@Deprecated public static void main(String[] args) throws IOException, InvalidFormatException
IOException
InvalidFormatException
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