edu.berkeley.nlp.lm

Class NgramLanguageModel.StaticMethods

java.lang.Object

edu.berkeley.nlp.lm.NgramLanguageModel.StaticMethods

Enclosing interface:

NgramLanguageModel<W>

public static class NgramLanguageModel.StaticMethods
extends java.lang.Object

Constructor Summary

Constructors

Constructor and Description
StaticMethods()

Method Summary

Modifier and Type	Method and Description
static <W> Counter<W>	getDistributionOverNextWords(NgramLanguageModel<W> lm, java.util.List<W> context) Builds a distribution over next possible words given the context.
static <W> java.util.List<W>	sample(java.util.Random random, NgramLanguageModel<W> lm) Samples from this language model.
static <W> java.util.List<W>	sample(java.util.Random random, NgramLanguageModel<W> lm, double sampleTemperature)
static <T> int[]	toIntArray(java.util.List<T> ngram, ArrayEncodedNgramLanguageModel<T> lm)
static <T> java.util.List<T>	toObjectList(int[] ngram, ArrayEncodedNgramLanguageModel<T> lm)

Methods inherited from class java.lang.Object

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

Constructor Detail

StaticMethods

public StaticMethods()

Method Detail

toIntArray

public static <T> int[] toIntArray(java.util.List<T> ngram,
                                   ArrayEncodedNgramLanguageModel<T> lm)

toObjectList

public static <T> java.util.List<T> toObjectList(int[] ngram,
                                                 ArrayEncodedNgramLanguageModel<T> lm)

sample

public static <W> java.util.List<W> sample(java.util.Random random,
                                           NgramLanguageModel<W> lm)

Samples from this language model. This is not meant to be particularly efficient

Parameters:

random -

Returns:

sample

public static <W> java.util.List<W> sample(java.util.Random random,
                                           NgramLanguageModel<W> lm,
                                           double sampleTemperature)

getDistributionOverNextWords

public static <W> Counter<W> getDistributionOverNextWords(NgramLanguageModel<W> lm,
                                                          java.util.List<W> context)

Builds a distribution over next possible words given the context. Context can be of any length, but only at most lm.getLmOrder() - 1 words are actually used.

Type Parameters:

W -

Parameters:

lm -

context -

Returns: