Title :
A hybrid approach to Chinese-English machine translation
Author :
Ying, Liu ; Qun, Liu ; Xiang, Zhang ; Baobao, Chang
Author_Institution :
Inst. of Comput. Technol., Acad. Sinica, Beijing, China
Abstract :
A hybrid method for Chinese-English machine translation is presented. A rule-based analysis is combined with statistical data. The rule-based lexical analyzer and syntactic analyzer leave some amount of ambiguity that is resolved using a statistical approach. A hidden Markov model (HMM) is used to return a score for each part of speech. An improved probabilistic context free grammar (PCFG) is used for syntactic scoring, and a probabilistic score function is used for the semantic aspect. In addition, parameters are usually estimated poorly when the training data is sparse. Smoothing the parameters is thus important in the estimation process. A back-off procedure is used to smooth the parameters
Keywords :
computational linguistics; context-free grammars; hidden Markov models; knowledge based systems; language translation; natural languages; parameter estimation; probability; statistical analysis; Chinese-English machine translation; hidden Markov model; hybrid approach; parameter estimation; parameter smoothing; probabilistic context free grammar; probabilistic score function; rule-based analysis; rule-based lexical analyzer; statistical approach; statistical data; syntactic analyzer; syntactic scoring; training data; Artificial intelligence; Computers; Context modeling; Hidden Markov models; Intelligent structures; Natural language processing; Parameter estimation; Smoothing methods; Speech; Training data;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.669166
