edu.cmu.sphinx.linguist.language.ngram.large

Class KeywordOptimizerLargeNGramModel

java.lang.Object

edu.cmu.sphinx.linguist.language.ngram.large.LargeNGramModel

edu.cmu.sphinx.linguist.language.ngram.large.KeywordOptimizerLargeNGramModel

All Implemented Interfaces:

LanguageModel, Configurable

public class KeywordOptimizerLargeNGramModel
extends LargeNGramModel

Use a largeNGramModel that also can be adjusted depending on context. A model that optimizes the search by giving a preference to the list of keywords.

Example of use in calling program using config file:
KeywordOptimizerLargeNGramModel model = (KeywordOptimizerLargeNGramModel) cm.lookup("trigramModel"); model.keywordProbs = this.hashProbs;

Create hashProbs by loading keywords and changes to probabilities, string, float pairs. Keywords may be all lower case.
hashProbs.put("keyword", 0.5f);

See Also:

LargeNGramModel, KeywordOptimizerModel

Field Summary

Fields

Modifier and Type	Field and Description
java.util.HashMap<java.lang.String,java.lang.Float>	keywordProbs hash map of probability adjustments settable by user program.

Fields inherited from class edu.cmu.sphinx.linguist.language.ngram.large.LargeNGramModel

applyLanguageWeightAndWip, BYTES_PER_NGRAM, BYTES_PER_NMAXGRAM, clearCacheAfterUtterance, dictionary, format, fullSmear, languageWeight, logger, logMath, maxDepth, ngramCacheSize, ngramLogFile, PROP_APPLY_LANGUAGE_WEIGHT_AND_WIP, PROP_CLEAR_CACHES_AFTER_UTTERANCE, PROP_FULL_SMEAR, PROP_LANGUAGE_WEIGHT, PROP_NGRAM_CACHE_SIZE, PROP_QUERY_LOG_FILE, PROP_WORD_INSERTION_PROBABILITY, unigramWeight, wip

Fields inherited from interface edu.cmu.sphinx.linguist.language.ngram.LanguageModel

PROP_DICTIONARY, PROP_LOCATION, PROP_MAX_DEPTH, PROP_UNIGRAM_WEIGHT

Constructor Summary

Constructors

Constructor and Description
KeywordOptimizerLargeNGramModel()

Method Summary

Modifier and Type	Method and Description
float	getProbability(WordSequence wordSequence) Gets the ngram probability of the word sequence represented by the word list

Methods inherited from class edu.cmu.sphinx.linguist.language.ngram.large.LargeNGramModel

allocate, deallocate, getMaxDepth, getNGramHits, getNGramMisses, getSmear, getSmearOld, getVocabulary, getWordID, hasWord, newProperties, onUtteranceEnd

Methods inherited from class java.lang.Object

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

Field Detail

keywordProbs

public java.util.HashMap<java.lang.String,java.lang.Float> keywordProbs

hash map of probability adjustments settable by user program.

Constructor Detail

KeywordOptimizerLargeNGramModel

public KeywordOptimizerLargeNGramModel()

Method Detail

getProbability

public float getProbability(WordSequence wordSequence)

Gets the ngram probability of the word sequence represented by the word list

Specified by:

getProbability in interface LanguageModel

Overrides:

getProbability in class LargeNGramModel

Parameters:

wordSequence - the word sequence

Returns:

the probability of the word sequence. Probability is in logMath log base