中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
improving phrase-based smt model with flattened bilingual parse tree

文献类型:会议论文

作者Zhang Dakun ; Sun Le ; Li Wenbo
出版日期2010
会议名称6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010
会议日期August 21,
会议地点Beijing, China
关键词Computational linguistics Feature extraction Information theory Knowledge engineering Natural language processing systems Speech transmission Syntactics
页码-
英文摘要Phrase orders influence much on translation quality. However, general phrase based methods take only the source side information for phrase orderings. We instead propose a bilingual parse structure, Flattened Bilingual Parse Tree (FBPT), for better describing the inner structure of bilingual sentences and then for better translations. The main idea is to extract phrase pairs with orientation features under the help of FBPT structure. Such features can help maintain better sentence generations during translation. Furthermore, the FBPT structure can be learned automatically from parallel corpus with lower costs without the need of complex linguistic parsing. Evaluations on MT08 translation task indicate that 7% relative improvement on BLEU can be achieved compared to distortion based method (like Pharaoh). ©2010 IEEE.
会议录Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010
会议录出版地United States
ISBN号9781420000000
源URL[http://124.16.136.157/handle/311060/8798]  
专题软件研究所_基础软件国家工程研究中心_会议论文
推荐引用方式
GB/T 7714
Zhang Dakun,Sun Le,Li Wenbo. improving phrase-based smt model with flattened bilingual parse tree[C]. 见:6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010. Beijing, China. August 21,.

入库方式: OAI收割

来源:软件研究所

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