Knowledge Commons of Institute of Automation,CAS
Well-Formed Dependency to String translation with BTG Grammar | |
Li XQ(李小青); Wang Kun; Zhang Dakun; Hao Jie; Li, Xiaoqing | |
2015 | |
会议名称 | Paci?c Asia Conference on Language, Information and Computation |
会议录名称 | Proceedings of 29th Pacific Asia Conference on Language, Information, and Computation |
会议日期 | October 30 - November 1 |
会议地点 | Shanghai, China |
摘要 |
This paper proposes a well-formed dependencyto string translation model with BTG grammar. By enabling the usage of wellformed sub-structures and allowing flexible reordering of them, our approach is effective to relieve the problems of parsing error and flatness in dependency structure. To utilize the well-formed dependency rules during decoding, we adapt the tree traversal decoding algorithm into a bottom-up CKY algorithm. And a lexicalized reordering model is used to encourage the proper combination of two neighbouring blocks. Experiment results demonstrate that our approach can effectively improve the performance by more than 2 BLEU score over the baseline. |
关键词 | Machine Translation Dependency Grammar |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/41163 |
专题 | 多模态人工智能系统全国重点实验室_自然语言处理 |
通讯作者 | Li, Xiaoqing |
推荐引用方式 GB/T 7714 | Li XQ,Wang Kun,Zhang Dakun,et al. Well-Formed Dependency to String translation with BTG Grammar[C],2015. |
条目包含的文件 | 条目无相关文件。 |
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