| 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)
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| 会议名称: | Third International Joint Conference on Natural Language Processing
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| 会议日期: | 2008-01-07
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| 出版日期: | 2009-12-31
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| 会议地点: | 北京
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| 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
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| 内容类型: | 会议论文
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| URI标识: | http://ir.iscas.ac.cn/handle/311060/639
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| Appears in Collections: | 基础软件国家工程研究中心_会议论文
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| 张大鲲-conf.pdf（591KB） | -- | -- | 限制开放 | | 联系获取全文 |
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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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