A KIND OF CHINESE TRANSITION METHOD FROM SPELLING TO CHARACTER TAKING INTO ACCOUNT POS INFORMATION IN A TRIGRAM-BASED STATISTICAL MODEL

Mei Yong; Wang Qunsheng; Xu Bingzheng

Volume 20 Issue 5

Sep. 1998

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Article Navigation > Journal of Electronics & Information Technology > 1998 > 20(5): 625-630

Mei Yong, Wang Qunsheng, Xu Bingzheng. A KIND OF CHINESE TRANSITION METHOD FROM SPELLING TO CHARACTER TAKING INTO ACCOUNT POS INFORMATION IN A TRIGRAM-BASED STATISTICAL MODEL[J]. Journal of Electronics & Information Technology, 1998, 20(5): 625-630.

Citation:

Mei Yong, Wang Qunsheng, Xu Bingzheng. A KIND OF CHINESE TRANSITION METHOD FROM SPELLING TO CHARACTER TAKING INTO ACCOUNT POS INFORMATION IN A TRIGRAM-BASED STATISTICAL MODEL[J]. Journal of Electronics & Information Technology, 1998, 20(5): 625-630.

Citation:

Mei Yong, Wang Qunsheng, Xu Bingzheng. A KIND OF CHINESE TRANSITION METHOD FROM SPELLING TO CHARACTER TAKING INTO ACCOUNT POS INFORMATION IN A TRIGRAM-BASED STATISTICAL MODEL[J]. Journal of Electronics & Information Technology, 1998, 20(5): 625-630.

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A KIND OF CHINESE TRANSITION METHOD FROM SPELLING TO CHARACTER TAKING INTO ACCOUNT POS INFORMATION IN A TRIGRAM-BASED STATISTICAL MODEL

Received Date: 1997-01-27
Rev Recd Date: 1997-12-10
Publish Date: 1998-09-19

Abstract

Abstract

A kind of Chinese combined language model,that takes into account POS(part of speech)information in a trigram-based statistical language model, is presented in this paper. The theoretical analysis and experiments all show that the model not only is lower than trigram model in PP(perplexity), but also is superior to trigram model in dependence on test text domain.

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References(1)

References

Cerf-Danon H, De Gennaro S, Ferretti M, Gonzalez J, Keppel E. Tangora-A large vocabulary speech recognition system for five language. EUROSPEECH91, Genova(Italy): Sep.24-26, 1991, vol.1, 183-192.[2]Katz S. Estimation of probabilistics from sparse data for the language model component of a speech recognizer. IEEE Trans.on Acoustics, Speech and Signal Processing, 1987, 34(3): 400-401.[3]Jelinek F, Mercer R L. Interpolated estimation of Markov source parameters from sparse data,[4]Pattern Recognition in Practice, E.L. Gelsema and L. N. Kanal, Eds., New York, North-Holland: 1980,381-397.[5]刘开瑛,郑家恒,赵军.语料库词类自动标注算法研究:机器翻译研究进展,北京:电子工业出版社,1992 378-386.[6]吴伯修,规绍升,祝宗泰,等.信息论与编码.北京:电子工业出版社,1986,5-13.

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