A Structured Prediction Approach for Statistical Machine Translation
文献类型：会议论文
| 作者 | Zhang DK(张大鲲) ; Sun L(孙乐) ; Li WB(李文波) |
| 出版日期 | 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 |
| 中文摘要 | 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 |
| 源URL | [http://124.16.136.157/handle/311060/639]  |
| 专题 | 软件研究所_基础软件国家工程研究中心_会议论文 |
| 推荐引用方式 GB/T 7714 | 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 . |
入库方式： OAI收割
来源：软件研究所
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