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| 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 | |
| Conference Name | Third International Joint Conference on Natural Language Processing |
| Conference Date | 2008-01-07 |
| Conference Place | 北京 |
| English Abstract | 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. |
| Language | 中文 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/639 |
| Collection | 基础软件国家工程研究中心 |
| Recommended Citation GB/T 7714 | Zhang DK,Sun L,Li WB. A Structured Prediction Approach for Statistical Machine Translation[C],2009. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 张大鲲-conf.pdf（591KB） | 开放获取 | License | Application Full Text | |||
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