A Structured Prediction Approach for Statistical Machine Translation

	A Structured Prediction Approach for Statistical Machine Translation
	Zhang DK(张大鲲); Sun L(孙乐); Li WB(李文波)
	2009-12-31
会议名称	Third International Joint Conference on Natural Language Processing
会议日期	2008-01-07
会议地点	北京
摘要	We propose a new formally syntax-based method for statistical machine translation. Transductions between parsing trees are transformed into a problem of sequence tagging, which is then tackled by a search- based structured prediction method. This allows us to automatically acquire transla- tion knowledge from a parallel corpus without the need of complex linguistic parsing. This method can achieve compa- rable results with phrase-based method (like Pharaoh), however, only about ten percent number of translation table is used. Experiments show that the structured pre- diction approach for SMT is promising for its strong ability at combining words.
语种	中文
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/639
专题	基础软件国家工程研究中心
推荐引用方式 GB/T 7714	Zhang DK,Sun L,Li WB. A Structured Prediction Approach for Statistical Machine Translation[C],2009.