Third International Conference on Spoken Language Processing (ICSLP 94)

Yokohama, Japan
September 18-22, 1994

Chinese Speech Understanding and Spelling-Word Translation Based on the Statistics of Corpus

Jun Wu, Zuoying Wang, Jiasong Sun, Jin Guo

Department of Electronic Engineering, Tsinghua University, Beijing, China

In this paper, a new natural language processing approach based on the statistics of corpus is proposed and has been successfully applied to THED-919 Chinese speech recognition system to eliminate acoustic recognition errors and to translate spellings into Chinese words. The accuracy rate of spelling-word translation of unrestricted text is 98.4% and 2/3 of acoustic recognition errors are eliminated. Keywords: Speech Recognition, Speech Understanding, Markov Chain, N-Gram Model.

Full Paper

Bibliographic reference.  Wu, Jun / Wang, Zuoying / Sun, Jiasong / Guo, Jin (1994): "Chinese speech understanding and spelling-word translation based on the statistics of corpus", In ICSLP-1994, 207-210.