improving phrase-based smt model with flattened bilingual parse tree

	improving phrase-based smt model with flattened bilingual parse tree
	Zhang Dakun; Sun Le; Li Wenbo
	2010
会议名称	6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010
会议录名称	Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010
页码	-
会议日期	August 21,
会议地点	Beijing, China
出版地	United States
ISBN	9781420000000
部门归属	(1) Institute of Software, Chinese Academy of Sciences, Beijing, China
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.
关键词	Computational Linguistics Feature Extraction Information Theory Knowledge Engineering Natural Language Processing Systems Speech Transmission Syntactics
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8798
专题	基础软件国家工程研究中心
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]. United States,2010:-.

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