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1
Lattice Based Language Models
In: DTIC AND NTIS (1997)
Abstract: This paper introduces lattice based language models, a new language modeling paradigm. These models construct multi-dimensional hierarchies of partitions and select the most promising partitions to generate the estimated distributions. We discussed a specific two dimensional lattice and propose two primary features to measure the usefulness of each node: the training-set history count and the smoothed entropy of its prediction. Smoothing techniques are reviewed and a generalization of the conventional backoff strategy to multiple dimensions is proposed. Preliminary experimental results are obtained on the SWITCHBOARD corpus which lead to a 6.5% perplexity reduction over a word trigram model.
Keyword: *MATHEMATICAL MODELS; *SPEECH RECOGNITION; ALGORITHMS; COMPUTATIONAL LINGUISTICS; Cybernetics; INTERPOLATION; LANGUAGE MODELING; Linguistics; Operations Research; SMOOTHING(MATHEMATICS); STATISTICAL DECISION THEORY; WORDS(LANGUAGE)
URL: http://www.dtic.mil/docs/citations/ADA333294
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA333294
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2
Scalable Trigram Backoff Language Models
In: DTIC AND NTIS (1996)
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