Package edu.berkeley.nlp.lm
package edu.berkeley.nlp.lm
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ClassDescriptionDefault implementation of all NGramLanguageModel functionality except
AbstractArrayEncodedNgramLanguageModel.getLogProb(int[], int, int)
.Default implementation of all ContextEncodedNgramLanguageModel functionality exceptAbstractContextEncodedNgramLanguageModel.getLogProb(long, int, int, LmContextInfo)
,invalid @link
{@link #getOffsetForNgram(int[], int, int),
Top-level interface for an n-gram language model which accepts n-gram in an array-of-integers encoding.Language model implementation which uses Kneser-Ney-style backoff computation.Stores some configuration options, with useful defaults.Interface for language models which expose the internal context-encoding for more efficient queries.Simple class for returning context offsetsLanguage model implementation which uses Kneser-Ney style backoff computation.Base interface for an n-gram language model, which exposes only inefficient convenience methods.Implementation of a WordIndexer in which words are represented as strings.Language model implementation which uses stupid backoff (Brants et al., 2007) computation.WordIndexer<W>Enumerates words in the vocabulary of a language model.