Chinese sentence similarity measure based on words and structure information

Rongbo Wang, Xiaohua Wang, Zheru Chi, Zhiqun Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

2 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings - ALPIT 2008, 7th International Conference on Advanced Language Processing and Web Information Technology
Pages27-31
Number of pages5
DOIs
Publication statusPublished - 23 Sep 2008
EventALPIT 2008, 7th International Conference on Advanced Language Processing and Web Information Technology - Liaoning, China
Duration: 23 Jul 200825 Jul 2008

Conference

ConferenceALPIT 2008, 7th International Conference on Advanced Language Processing and Web Information Technology
CountryChina
CityLiaoning
Period23/07/0825/07/08

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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