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题名:
A Structured Prediction Approach for Statistical Machine Translation
作者: Zhang DK(张大鲲) ; Sun L(孙乐) ; Li WB(李文波)
会议名称: Third International Joint Conference on Natural Language Processing 
会议日期: 2008-01-07 
出版日期: 2009-12-31
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
Appears in Collections:基础软件国家工程研究中心_会议论文

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Recommended Citation:
Zhang DK,Sun L,Li WB. A Structured Prediction Approach for Statistical Machine Translation[C]. 见:Third International Joint Conference on Natural Language Processing . 北京. 2008-01-07 .
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