Jurilinguistic Engineering in Cantonese Chinese: An N-gram-based Speech to Text Transcription System

A Cantonese Chinese transcription system to automatically convert stenograph code to Chinese characters ix reported. The major challenge in developing such a system is the critical homocode problem because of homonymy. The statistical N-gram model is used to compute the best combination of characters. Supplemented with a 0.85 million character corpus of donmin-specific training data and enhancement measures, the bigram and trigrmn implementations achieve 95% and 96% accuracy respectively, as compared with 78% accuracy in the baseline model. The system perforlnance is comparable with other adwmced Chinese Speech-to-Text input applications under development. The system meets an urgent need o1' the .ludiciary ot: post1997 Hong Kong. Keyword: Speech to Text, Statistical Modelling, Cantonese, Chinese, Language Engineering

• Type: Conference
• Year: 2000
• Where: COLING
• Authors: Benjamin K. Tsou, K. K. Sin, Samuel W. K. Chan, Tom B. Y. Lai, Caesar Suen Lun, K. T. Ko, Gary K. K. Chan, Lawrence Y. L. Cheung
• Keywords: Cantonese Chinese Transcription, Chinese Characters, COLING 2000, COLING 2008, Statistical N-gram Model