edu.stanford.nlp.parser.lexparser
Class MLEDependencyGrammar

java.lang.Object
  edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar
      edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar

All Implemented Interfaces:

DependencyGrammar, Serializable

Direct Known Subclasses:

ChineseSimWordAvgDepGrammar

public class MLEDependencyGrammar
extends AbstractDependencyGrammar

See Also:

Serialized Form

Field Summary

protected Counter	argCounter
double	interp
protected static double	MIN_PROBABILITY
protected int	numWords
double	smooth_aT_hTWd
double	smooth_aTW_hTWd
double	smooth_stop
protected Counter	stopCounter
protected List<IntTaggedWord>	tagITWList

Fields inherited from class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar

directional, expandDependencyMap, numTagBins, stopTW, tagBin, tagProjection, tlp, useCoarseDistance, useDistance, wildTW

Constructor Summary

MLEDependencyGrammar(edu.stanford.nlp.parser.lexparser.TagProjection tagProjection, TreebankLangParserParams tlpParams, boolean directional, boolean useDistance, boolean useCoarseDistance)

MLEDependencyGrammar(TreebankLangParserParams tlpParams, boolean directional, boolean distance, boolean coarseDistance)

Method Summary

void	addRule(edu.stanford.nlp.parser.lexparser.Dependency dependency, double count) Add this dependency with the given count to the grammar.
double	countHistory(edu.stanford.nlp.parser.lexparser.Dependency dependency)
void	dumpSizes()
protected void	expandDependency(edu.stanford.nlp.parser.lexparser.Dependency dependency, double count)
protected double	getStopProb(edu.stanford.nlp.parser.lexparser.Dependency dependency) Return the probability (as a real number between 0 and 1) of stopping rather than generating another argument at this position.
protected double	probTB(edu.stanford.nlp.parser.lexparser.Dependency dependency) Calculate the probability of a dependency as a real probability between 0 and 1 inclusive.
boolean	pruneTW(IntTaggedWord argTW)
void	readData(BufferedReader in) Populates data in this DependencyGrammar from the character stream given by the Reader r.
protected double	scoreAll(Collection deps)
double	scoreTB(edu.stanford.nlp.parser.lexparser.Dependency dependency) Score a Dependency according to the grammar.
String	toString()
protected static edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar.EndHead	treeToDependencyHelper(Tree tree, List<edu.stanford.nlp.parser.lexparser.Dependency> depList, int loc) Adds dependencies to list depList.
static List<edu.stanford.nlp.parser.lexparser.Dependency>	treeToDependencyList(Tree tree) Returns the List of dependencies for a Tree.
void	tune(Collection<Tree> trees) Default is no-op.
void	writeData(PrintWriter out) Writes out data from this Object to the Writer w.

Methods inherited from class edu.stanford.nlp.parser.lexparser.AbstractDependencyGrammar

courseDistanceBin, distanceBin, intern, numDistBins, numTagBins, regDistanceBin, rootTW, score, score, scoreTB, tagBin, tagNumberer, valenceBin, wordNumberer

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

numWords

protected int numWords

argCounter

protected Counter argCounter

stopCounter

protected Counter stopCounter

smooth_aT_hTWd

public double smooth_aT_hTWd

smooth_aTW_hTWd

public double smooth_aTW_hTWd

smooth_stop

public double smooth_stop

interp

public double interp

tagITWList

protected transient List<IntTaggedWord> tagITWList

MIN_PROBABILITY

protected static final double MIN_PROBABILITY

Constructor Detail

MLEDependencyGrammar

public MLEDependencyGrammar(TreebankLangParserParams tlpParams,
                            boolean directional,
                            boolean distance,
                            boolean coarseDistance)

MLEDependencyGrammar

public MLEDependencyGrammar(edu.stanford.nlp.parser.lexparser.TagProjection tagProjection,
                            TreebankLangParserParams tlpParams,
                            boolean directional,
                            boolean useDistance,
                            boolean useCoarseDistance)

Method Detail

toString

public String toString()

Overrides:

toString in class Object

pruneTW

public boolean pruneTW(IntTaggedWord argTW)

treeToDependencyHelper

protected static edu.stanford.nlp.parser.lexparser.MLEDependencyGrammar.EndHead treeToDependencyHelper(Tree tree,
                                                                                                       List<edu.stanford.nlp.parser.lexparser.Dependency> depList,
                                                                                                       int loc)

Adds dependencies to list depList. These are in terms of the original tag set not the reduced (projected) tag set.

dumpSizes

public void dumpSizes()

treeToDependencyList

public static List<edu.stanford.nlp.parser.lexparser.Dependency> treeToDependencyList(Tree tree)

Returns the List of dependencies for a Tree. These are in terms of the original tag set not the reduced (projected) tag set.

scoreAll

protected double scoreAll(Collection deps)

tune

public void tune(Collection<Tree> trees)

Description copied from class: AbstractDependencyGrammar

Default is no-op.

Specified by:

tune in interface DependencyGrammar

Overrides:

tune in class AbstractDependencyGrammar

addRule

public void addRule(edu.stanford.nlp.parser.lexparser.Dependency dependency,
                    double count)

Add this dependency with the given count to the grammar. This is a dependency represented in the full tag space.

expandDependency

protected void expandDependency(edu.stanford.nlp.parser.lexparser.Dependency dependency,
                                double count)

countHistory

public double countHistory(edu.stanford.nlp.parser.lexparser.Dependency dependency)

scoreTB

public double scoreTB(edu.stanford.nlp.parser.lexparser.Dependency dependency)

Description copied from interface: DependencyGrammar

Score a Dependency according to the grammar.

Parameters:

dependency - The dependency object to be scored, where the tags in the dependency have already been mapped to a reduced space by a tagProjection function.

Returns:

The negative log probability given to the dependency by the grammar. This may be Double.NEGATIVE_INFINITY for "impossible".

probTB

protected double probTB(edu.stanford.nlp.parser.lexparser.Dependency dependency)

Calculate the probability of a dependency as a real probability between 0 and 1 inclusive.

Parameters:

dependency - The dependency for which the probability is to be calculated. The tags in this dependency are in the reduced TagProjection space.

Returns:

The probability of the dependency

getStopProb

protected double getStopProb(edu.stanford.nlp.parser.lexparser.Dependency dependency)

Return the probability (as a real number between 0 and 1) of stopping rather than generating another argument at this position.

Parameters:

dependency - The dependency used as the basis for stopping on. Tags are assumed in the TagProjection space

readData

public void readData(BufferedReader in)
              throws IOException

Populates data in this DependencyGrammar from the character stream given by the Reader r.

Specified by:

readData in interface DependencyGrammar

Overrides:

readData in class AbstractDependencyGrammar

Throws:

IOException

writeData

public void writeData(PrintWriter out)
               throws IOException

Writes out data from this Object to the Writer w.

Specified by:

writeData in interface DependencyGrammar

Overrides:

writeData in class AbstractDependencyGrammar

Throws:

IOException