Class BrownTokenClassFeatureGenerator

Namespace

NOpenNLP.Tools.Util.Featuregen

Assembly

NOpenNLP.Tools.dll

Generates Brown cluster features for current token and token class.

public class BrownTokenClassFeatureGenerator : IAdaptiveFeatureGenerator

Inheritance

object

BrownTokenClassFeatureGenerator

Implements

IAdaptiveFeatureGenerator

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

BrownTokenClassFeatureGenerator(BrownCluster)

Generates Brown cluster features for current token and token class.

public BrownTokenClassFeatureGenerator(BrownCluster dict)

Parameters

dict BrownCluster

Methods

ClearAdaptiveData()

Informs the feature generator that the context of the adaptive data (typically a document) is no longer valid.

public virtual void ClearAdaptiveData()

CreateFeatures(IList<string>, string[], int, string[])

Adds the appropriate features for the token at the specified index with the specified array of previous outcomes to the specified list of features.

public virtual void CreateFeatures(IList<string> features, string[] tokens, int index, string[] previousOutcomes)

Parameters

features IList<string>

The list of features to be added to.

tokens string[]

The tokens of the sentence or other text unit being processed.

index int

The index of the token which is currently being processed.

previousOutcomes string[]

The outcomes for the tokens prior to the specified index.

UpdateAdaptiveData(string[], string[])

Informs the feature generator that the specified tokens have been classified with the corresponding set of specified outcomes.

public virtual void UpdateAdaptiveData(string[] tokens, string[] outcomes)

Parameters

tokens string[]

The tokens of the sentence or other text unit which has been processed.

outcomes string[]

The outcomes associated with the specified tokens.