edu.illinois.cs.cogcomp.pos.lbjava

Class MikheevTable

java.lang.Object

edu.illinois.cs.cogcomp.lbjava.classify.Classifier

edu.illinois.cs.cogcomp.lbjava.learn.Learner

edu.illinois.cs.cogcomp.pos.POSBaselineLearner

edu.illinois.cs.cogcomp.pos.MikheevLearner

edu.illinois.cs.cogcomp.pos.lbjava.MikheevTable

All Implemented Interfaces:

Serializable, Cloneable

public class MikheevTable
extends MikheevLearner

Learned with MikheevLearner, this classifier records statistics on the POS tags that suffixes of lengths 3 and 4 are associated with. Its classify(Object) method does not return any features; all interaction is performed through the MikheevLearner.allowableTags(Word) method. Only WordForm is used as a feature.

Author:

Nick Rizzolo

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class edu.illinois.cs.cogcomp.pos.MikheevLearner

MikheevLearner.Parameters

Field Summary

Fields

Modifier and Type	Field and Description
static boolean	isTraining

Fields inherited from class edu.illinois.cs.cogcomp.pos.MikheevLearner

firstCapitalized, notFirstCapitalized

Fields inherited from class edu.illinois.cs.cogcomp.pos.POSBaselineLearner

table

Fields inherited from class edu.illinois.cs.cogcomp.lbjava.learn.Learner

candidates, encoding, extractor, labeler, labelLexicon, lcFilePath, lexFilePath, lexicon, lossFlag, predictions, readLexiconOnDemand

Fields inherited from class edu.illinois.cs.cogcomp.lbjava.classify.Classifier

containingPackage, name

Constructor Summary

Constructors

Constructor and Description
MikheevTable(String modelPath, String lexiconPath)

Method Summary

Modifier and Type	Method and Description
edu.illinois.cs.cogcomp.lbjava.classify.FeatureVector	classify(Object __example) This function makes one or more decisions about a single object, returning those decisions as Features in a vector.
String	discreteValue(Object __example) Returns the value of the discrete prediction that this learner would make, given an example.
boolean	equals(Object o)
String	getInputType() Returns a string describing the input type of this classifier.
String	getOutputType()
int	hashCode()

Methods inherited from class edu.illinois.cs.cogcomp.pos.MikheevLearner

allowableTags, doneLearning, emptyClone, forget, learn, prune, read, write, write

Methods inherited from class edu.illinois.cs.cogcomp.pos.POSBaselineLearner

allowableTags, classify, computePrediction, featureValue, learn, looksLikeNumber, observed, observedCount, read, scores, write, write

Methods inherited from class edu.illinois.cs.cogcomp.lbjava.learn.Learner

classify, classify, classify, clone, countFeatures, createPrediction, createPrediction, demandLexicon, discreteValue, discreteValue, doneWithRound, featureValue, featureValue, getCurrentLexicon, getExampleArray, getExampleArray, getExtractor, getLabeler, getLabelLexicon, getLexicon, getLexiconDiscardCounts, getLexiconLocation, getModelLocation, getParameters, getPrunedLexiconSize, initialize, learn, learn, learn, read, readLabelLexicon, readLearner, readLearner, readLearner, readLearner, readLearner, readLearner, readLexicon, readLexicon, readLexiconOnDemand, readLexiconOnDemand, readModel, readModel, readParameters, realValue, realValue, realValue, save, saveLexicon, saveModel, scores, scores, scoresAugmented, setCandidates, setEncoding, setExtractor, setLabeler, setLabelLexicon, setLexicon, setLexiconLocation, setLexiconLocation, setLossFlag, setModelLocation, setModelLocation, setParameters, setReadLexiconOnDemand, unclone, unsetLossFlag, write, writeLexicon, writeModel, writeParameters

Methods inherited from class edu.illinois.cs.cogcomp.lbjava.classify.Classifier

allowableValues, classify, discreteValueArray, getCompositeChildren, realValueArray, test, toString, valueIndexOf

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Field Detail

isTraining

public static boolean isTraining

Constructor Detail

MikheevTable

public MikheevTable(String modelPath,
                    String lexiconPath)

Method Detail

getInputType

public String getInputType()

Description copied from class: POSBaselineLearner

Returns a string describing the input type of this classifier.

Overrides:

getInputType in class POSBaselineLearner

Returns:

"edu.illinois.cs.cogcomp.lbjava.nlp.Word"

getOutputType

public String getOutputType()

Overrides:

getOutputType in class edu.illinois.cs.cogcomp.lbjava.classify.Classifier

classify

public edu.illinois.cs.cogcomp.lbjava.classify.FeatureVector classify(Object __example)

Description copied from class: POSBaselineLearner

This function makes one or more decisions about a single object, returning those decisions as Features in a vector.

Overrides:

classify in class POSBaselineLearner

Parameters:

__example - The object to make decisions about.

Returns:

A vector of Features about the input object.

discreteValue

public String discreteValue(Object __example)

Description copied from class: POSBaselineLearner

Returns the value of the discrete prediction that this learner would make, given an example.

Overrides:

discreteValue in class POSBaselineLearner

Parameters:

__example - The example object.

Returns:

The discrete value.

hashCode

public int hashCode()

Overrides:

hashCode in class Object

equals

public boolean equals(Object o)

Overrides:

equals in class Object