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Clustering words for statistical language models based on contextual word similarity

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3 Author(s)
A. Farhat ; INRS Telecommun., Ile des Soeurs, Que., Canada ; J. -F. Isabelle ; D. O'Shaughnessy

This paper describes a new word clustering approach for statistical language modeling. The classification criteria used by our approach is the contextual word similarity used in a simplified clustering algorithm. This clustering technique was tested on the INRS speech recognizer using the spontaneous English corpora, ATIS. Automatic word classification increases the word accuracy rate by 8.6% with a perplexity reduction about of 6.9%

Published in:

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on  (Volume:1 )

Date of Conference:

7-10 May 1996