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java.lang.Objectopennlp.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 |
|---|
| Fields inherited from class opennlp.tools.parser.AbstractBottomUpParser |
|---|
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 | |
|---|---|
Parser(opennlp.model.MaxentModel buildModel,
opennlp.model.MaxentModel checkModel,
POSTagger tagger,
Chunker chunker,
HeadRules headRules)
Deprecated. |
|
Parser(opennlp.model.MaxentModel buildModel,
opennlp.model.MaxentModel checkModel,
POSTagger tagger,
Chunker chunker,
HeadRules headRules,
int beamSize,
double advancePercentage)
Deprecated. |
|
Parser(ParserModel model)
|
|
Parser(ParserModel model,
int beamSize,
double advancePercentage)
|
|
| Method Summary | |
|---|---|
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)
|
| Methods inherited from class opennlp.tools.parser.AbstractBottomUpParser |
|---|
advanceChunks, advanceTags, buildDictionary, collapsePunctuation, mapParseIndex, parse, parse, setErrorReporting, setParents |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
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 |
|---|
protected void advanceTop(Parse p)
AbstractBottomUpParser
advanceTop in class AbstractBottomUpParserp - The complete parse.
protected Parse[] advanceParses(Parse p,
double probMass)
AbstractBottomUpParser
advanceParses in class AbstractBottomUpParserp - 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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