improving phrase-based smt model with flattened bilingual parse tree
文献类型：会议论文
| 作者 | Zhang Dakun ; Sun Le ; Li Wenbo |
| 出版日期 | 2010 |
| 会议名称 | 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010 |
| 会议日期 | August 21, |
| 会议地点 | Beijing, China |
| 关键词 | Computational linguistics Feature extraction Information theory Knowledge engineering Natural language processing systems Speech transmission Syntactics |
| 页码 | - |
| 英文摘要 | Phrase orders influence much on translation quality. However, general phrase based methods take only the source side information for phrase orderings. We instead propose a bilingual parse structure, Flattened Bilingual Parse Tree (FBPT), for better describing the inner structure of bilingual sentences and then for better translations. The main idea is to extract phrase pairs with orientation features under the help of FBPT structure. Such features can help maintain better sentence generations during translation. Furthermore, the FBPT structure can be learned automatically from parallel corpus with lower costs without the need of complex linguistic parsing. Evaluations on MT08 translation task indicate that 7% relative improvement on BLEU can be achieved compared to distortion based method (like Pharaoh). ©2010 IEEE. |
| 会议录 | Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010
 |
| 会议录出版地 | United States |
| ISBN号 | 9781420000000 |
| 源URL | [http://124.16.136.157/handle/311060/8798]  |
| 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 Dakun,Sun Le,Li Wenbo. improving phrase-based smt model with flattened bilingual parse tree[C]. 见:6th International Conference on Natural Language Processing and Knowledge Engineering, NLP-KE 2010. Beijing, China. August 21,. |
入库方式： OAI收割
来源：软件研究所
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