会议专题

NP Tree Matching for English-Chinese Translation of Patent Titles

This paper proposes a method of NP tree matching to realize the translation of English-Chinese patent titles. Firstly a bilingual example database for patent titles is built. English parse trees are produced by English parser, forming NP tree database. The input patent title to be translated is firstly parsed into a tree. Then NP trees are searched for which match with the input NP tree in NP tree database. If similar NP trees exist, HowNet is used to find the best NP tree by calculating word semantic similarity. Final translations are obtained through calculating cohesion of candidate words. If there are no similar NP trees, subtrees that match the input NP tree are searched for and translations generate by subtree substitutions recursively. Experimental results show that our method outperforms a baseline Pharaoh, by using BLEU evaluation system.

Patent terms NP tree NP translation pattern HowNet

Dongfeng CAI Xiaoqing LIN Duo JI Jie YANG

Knowledge Engineering Research Center,Shenyang Institute of Aeronautical Engineering,Shenyang,China Knowledge Engineering Research Center,Shenyang Institute of Aeronautical Engineering,Shenyang,China;

国际会议

The 2008 IEEE International Conference on Natural Language Processing and Knowledge Engineering(IEEE NLP-KE 2008)(2008IEEE自然语言处理与知识工程国际会议)

北京

英文

2008-10-19(万方平台首次上网日期,不代表论文的发表时间)