LBJ2.nlp
Class WordTypeInformation

java.lang.Object
  LBJ2.classify.Classifier
      LBJ2.nlp.WordTypeInformation

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable

public class WordTypeInformation
extends Classifier

This class implements a classifier that takes a Word as input and generates Boolean features representing interesting information about the forms of the words in a [-2, +2] window around the input word. The generated features include one that indicates if the entire input word consists only of capital letters, one that indicates if the entire input word consists only of digits, and one that indicates if the entire input word consists only of non-letters. The same features are also produced for the two words before and after the input word. If any of those words do not exist, the corresponding features aren't generated.

This class's implementation was automatically generated by the LBJ compiler.

See Also:

Serialized Form

Field Summary

private static java.lang.ThreadLocal	cache
private static java.lang.ThreadLocal	exampleCache

Fields inherited from class LBJ2.classify.Classifier

containingPackage, name

Constructor Summary

WordTypeInformation()

Method Summary

java.lang.String[]	allowableValues() Returns the array of allowable values that a feature returned by this classifier may take.
FeatureVector	classify(java.lang.Object __example) This method makes one or more decisions about a single object, returning those decisions as Features in a vector.
FeatureVector[]	classify(java.lang.Object[] examples) Use this method to make a batch of classification decisions about several objects.
static void	clearCache()
boolean	equals(java.lang.Object o)
java.lang.String	getInputType() Returns a string describing the input type of this classifier.
java.lang.String	getOutputType() Returns a string describing the output feature type of this classifier.
int	hashCode()

Methods inherited from class LBJ2.classify.Classifier

binaryRead, binaryRead, binaryRead, binaryRead, binaryWrite, binaryWrite, clone, discreteValue, discreteValueArray, getCompositeChildren, realValue, realValueArray, test, toString, valueIndexOf

Methods inherited from class java.lang.Object

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

Field Detail

cache

private static java.lang.ThreadLocal cache

exampleCache

private static java.lang.ThreadLocal exampleCache

Constructor Detail

WordTypeInformation

public WordTypeInformation()

Method Detail

clearCache

public static void clearCache()

getInputType

public java.lang.String getInputType()

Description copied from class: Classifier

Returns a string describing the input type of this classifier. The type name must be fully specified (i.e. including its package name). For example, the default return value of this method is:

 "java.lang.Object" 

This method should be overridden by derived classes.

Overrides:

getInputType in class Classifier

Returns:

A string representation of the expected input type of this classifier.

getOutputType

public java.lang.String getOutputType()

Description copied from class: Classifier

Returns a string describing the output feature type of this classifier. It should either contain the basic type (discrete or real) and square brackets or a percent sign if the classifier returns an array or is a generator respectively, or simply mixed%. In the case that the basic type is discrete, the curly braces containing a list of allowable values should be omitted, as this list is provided by the allowableValues() method. The default return value of this method is:

 "discrete" 

This method should be overridden by derived classes.

Overrides:

getOutputType in class Classifier

Returns:

A string representation of the output feature type of this classifier.

allowableValues

public java.lang.String[] allowableValues()

Description copied from class: Classifier

Returns the array of allowable values that a feature returned by this classifier may take. If the array has length 0, it means either that the feature has discrete type and allowable values were not specified or that the feature has real or mixed type. The default return value of this method is a 0 length array.

This method should be overridden by derived classes.

Overrides:

allowableValues in class Classifier

Returns:

The allowable values that a feature returned by this classifier may take.

classify

public FeatureVector classify(java.lang.Object __example)

Description copied from class: Classifier

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

Specified by:

classify in class Classifier

Parameters:

__example - The object to make decisions about.

Returns:

A vector of Features about the input object.

classify

public FeatureVector[] classify(java.lang.Object[] examples)

Description copied from class: Classifier

Use this method to make a batch of classification decisions about several objects. This function is implemented in the most naive way (simply calling classify(Object) repeatedly) and should be overridden if there is a more efficient implementation.

Overrides:

classify in class Classifier

Parameters:

examples - The objects to make decisions about.

Returns:

An array of feature vectors, one per input object.

hashCode

public int hashCode()

Overrides:

hashCode in class java.lang.Object

equals

public boolean equals(java.lang.Object o)

Overrides:

equals in class java.lang.Object