Single-count backing-off method of determining N-gram language m

Details Single-count backing-off method of determining N-gram language m Single-count backing-off method of determining N-gram language m

1996-05-02

1998-04-28

MacDonald, Allen R.

Data processing: speech signal processing, linguistics, language

Speech signal processing

Recognition

704257, G10L 506

Patent

active

057458766

ABSTRACT:
For the recognition of coherently spoken speech with a large vocabulary, language model values which take into account the probability of word sequences are considered at word transitions. Prior to the recognition, these language model values are derived on the basis of training speech signals. If the amount of training data is kept within sensible limits, not all word sequences will actually occur, so that the language model values for, for example an N-gram language model must be determined from word sequences of N-1 words actually occurring. In accordance with the invention, these reduced word sequences from each different, complete word sequence are counted only once, irrespective of the actual frequency of occurrence of the complete word sequence or only reduced training sequences which occur exactly once in the training data are taken into account.

REFERENCES:
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patent: 5444617 (1995-08-01), Merialdo
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patent: 5502791 (1996-03-01), Nishimura et al.
Azarshid Farhat, Jean-Francois Isabelle, and Douglas O'Shaughnessy, "Clustering Words for Statistical Language Models Based on Contextual Word Similarity", Proceedings of IEEE ICASSP 96, pp. 180-183, May 1996.
Reinhard Kneser and Hermann Ney, "Improved Backing-Off for M-Gram Language Modeling", Proc. IEEE ICASSP 95, pp. 181-184, May 1995.

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