Abstract
Example-based machine translation (EBMT) is an important branch of machine translation. Sentence similarity measure is certainly one of the most significant problems addressed in EBMT. For EBMT from Chinese to English, the performance of similarity measure of Chinese sentences greatly affects the final translation result of an input Chinese sentence. In this paper, we present an approach to Chinese Sentence Similarity Measure (CSSM) together with word sequence and sentence structure information. The new method in our experiments yields a good efficiency and effectiveness without conducting a complex and deep syntactic analysis of Chinese sentences, which can be applied to an EBMT system for CSSM for a better performance in Chinese-to-English translation.
Original language | English |
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Title of host publication | Proceedings - ALPIT 2008, 7th International Conference on Advanced Language Processing and Web Information Technology |
Pages | 27-31 |
Number of pages | 5 |
DOIs | |
Publication status | Published - 23 Sept 2008 |
Event | ALPIT 2008, 7th International Conference on Advanced Language Processing and Web Information Technology - Liaoning, China Duration: 23 Jul 2008 → 25 Jul 2008 |
Conference
Conference | ALPIT 2008, 7th International Conference on Advanced Language Processing and Web Information Technology |
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Country/Territory | China |
City | Liaoning |
Period | 23/07/08 → 25/07/08 |
ASJC Scopus subject areas
- Computer Science Applications
- Information Systems