Package opennlp.tools.languagemodel

Klasse NGramLanguageModel

java.lang.Object

opennlp.tools.ngram.NGramModel

opennlp.tools.languagemodel.NGramLanguageModel

Alle implementierten Schnittstellen:

Iterable<StringList>, LanguageModel

public class NGramLanguageModel
extends NGramModel
implements LanguageModel

A LanguageModel based on a NGramModel using Stupid Backoff to get the probabilities of the ngrams.

Konstruktorübersicht

Konstruktoren

Konstruktor	Beschreibung
NGramLanguageModel()	Initializes an NGramLanguageModel with DEFAULT_N.
NGramLanguageModel(int n)	Initializes an NGramLanguageModel with the given n for the ngram size.
NGramLanguageModel(InputStream in)	Initializes a NGramLanguageModel instance via a valid InputStream.
NGramLanguageModel(InputStream in, int n)	Initializes a NGramLanguageModel instance via a valid InputStream.

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
void	add(String... tokens)	Adds further tokens.
double	calculateProbability(String... tokens)	Calculate the probability of a series of tokens (e.g. a sentence), given a vocabulary.
String[]	predictNextTokens(String... tokens)	Predict the most probable output sequence of tokens, given an input sequence of tokens.

Von Klasse geerbte Methoden opennlp.tools.ngram.NGramModel

add, add, add, contains, cutoff, equals, getCount, hashCode, iterator, numberOfGrams, remove, serialize, setCount, size, toDictionary, toDictionary, toString

Von Klasse geerbte Methoden java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Von Schnittstelle geerbte Methoden java.lang.Iterable

forEach, spliterator

Konstruktordetails

NGramLanguageModel

public NGramLanguageModel()

Initializes an NGramLanguageModel with DEFAULT_N.

NGramLanguageModel

public NGramLanguageModel(int n)

Initializes an NGramLanguageModel with the given n for the ngram size.

Parameter:

n - The size of the ngrams to be used. Must be greater than 0.

Löst aus:

IllegalArgumentException - Thrown if one of the arguments was invalid.

NGramLanguageModel

public NGramLanguageModel(InputStream in)
                   throws IOException

Initializes a NGramLanguageModel instance via a valid InputStream.

Parameter:

in - The InputStream used for loading the model.

Löst aus:

IOException - Thrown if IO errors occurred during initialization.

IllegalArgumentException - Thrown if one of the arguments was invalid.

NGramLanguageModel

public NGramLanguageModel(InputStream in,
 int n)
                   throws IOException

Initializes a NGramLanguageModel instance via a valid InputStream.

Parameter:

in - The InputStream used for loading the model.

n - The size of the ngrams to be used. Must be greater than 0.

Löst aus:

IOException - Thrown if IO errors occurred during initialization.

IllegalArgumentException - Thrown if one of the arguments was invalid.

Methodendetails

add

public void add(String... tokens)

Adds further tokens.

Parameter:

tokens - Text elements to add to the NGramLanguageModel.

calculateProbability

public double calculateProbability(String... tokens)

Beschreibung aus Schnittstelle kopiert: LanguageModel

Calculate the probability of a series of tokens (e.g. a sentence), given a vocabulary.

Angegeben von:

calculateProbability in Schnittstelle LanguageModel

Parameter:

tokens - the text tokens to calculate the probability for.

Gibt zurück:

the probability of the given text tokens in the vocabulary

predictNextTokens

public String[] predictNextTokens(String... tokens)

Beschreibung aus Schnittstelle kopiert: LanguageModel

Predict the most probable output sequence of tokens, given an input sequence of tokens.

Angegeben von:

predictNextTokens in Schnittstelle LanguageModel

Parameter:

tokens - a sequence of tokens

Gibt zurück:

the most probable subsequent token sequence