An interlingua-based Chinese-English MT system

Chinese-English machine translation is a significant and challenging problem in information processing. The paper presents an interlingua-based Chinese-English natural language translation system (ICENT). It introduces the realization mechanism of Chinese language analysis, which contains syntactic parsing and semantic analyzing and gives the design of interlingua in details. Experimental results and system evaluation are given. The result is satisfying. The project is supported by the National ‘863’ High-Tech Programme of China (Grant No. 2001AA114110). QI Xuan is a Ph.D. candidate in the School of Computer Science, National University of Defense Technology (NUDT). Her research interests include machine translation and computational linguistics. ZHOU Huiping received his Ph.D. degree from the School of Computer Science, NUDT in 2000. His research interests include machine translation and artificial intelligence. CHEN Huowang is a professor in the School of Computer Science, NUDT. His research interests include computer software and artificial intelligence. He is a member of the Chinese Academy of Engineering.