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	Dependency-based Chinese-English Statistical Machine Translation
	Shi, Xiaodong ; Chen, Yidong ; Jia, Jianfeng ; Gelbukh, A ; Chen YD(陈毅东)
	2007
关键词	TRANSDUCERS
英文摘要	We present a Chinese-English Statistical Machine Translation (SMT) system based on dependency tree mappings. We use a state-of-the-art dependency parser to parse the English translation of the Penn Chinese Treebank to make it bilingual and then learn a tree-to-tree dependency mapping model. We also train a phrase-based translation model and collect a bilingual phrase lexicon to bootstrap a treelet translation model. For decoding, we use the same dependency parser on Chinese, using a log-linear framework to integrate the teamed translation model with a variety of dependency tree based probability models, and then find the best English dependency tree by dynamic programming. Finally the English tree is flattened to produce the translation. We evaluate our system on the 863 and NIST 2005 Chinese-English MT test data and find that the dependency-based model significantly outperforms Caravan, our phrase-based SMT system which participated in NIST 2006 and IWSLT 2006.
语种	英语
内容类型	期刊论文
源URL	[http://dspace.xmu.edu.cn/handle/2288/71253]
专题	信息技术－已发表论文
推荐引用方式 GB/T 7714	Shi, Xiaodong,Chen, Yidong,Jia, Jianfeng,et al. Dependency-based Chinese-English Statistical Machine Translation[J],2007.
APA	Shi, Xiaodong,Chen, Yidong,Jia, Jianfeng,Gelbukh, A,&陈毅东.(2007).Dependency-based Chinese-English Statistical Machine Translation..
MLA	Shi, Xiaodong,et al."Dependency-based Chinese-English Statistical Machine Translation".(2007).

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