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	Beam-Width Adaptation for Hierarchical Phrase-Based Translation
	Su, Fei ; Chen, Gang ; Xiao, Xinyan ; Su, Kaile
	2014
关键词	Machine translation Hierarchical Phrase-base model Beam-Width Adaptation
英文摘要	In terms of translation quality, hierarchical phrase-based translation model (Hiero) has shown state-of-the-art performance in various translation tasks. However, the slow decoding speed of Hiero prevents it from effective deployment in online scenarios. In this paper, we propose beam-width adaptation strategies to speed up Hiero decoding. We learn maximum entropy models to evaluate the quality of each span and then predict the optimal beam-width for it. The empirical studies on Chinese-to-English translation tasks show that, even in comparison with a competitive baseline which employs well designed cube pruning, our approaches still double the decoding speed without compromising translation quality. The approaches have already been applied to an online commercial translation system.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000342990000019&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Theory & Methods; EI; CPCI-S(ISTP); 0
语种	英语
DOI标识	10.1007/978-3-642-54903-8-19
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/292461]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Su, Fei,Chen, Gang,Xiao, Xinyan,et al. Beam-Width Adaptation for Hierarchical Phrase-Based Translation. 2014-01-01.

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