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	Head-modifier relation based non-lexical reordering model for phrase-based translation
	Liu, Shui ; Li, Sheng ; Zhao, Tiejun ; Zhang, Min ; Liu, Pengyuan
	2010
英文摘要	Phrase-based statistical MT (SMT) is a milestone in MT. However, the translation model in the phrase based SMT is structure free which greatly limits its reordering capacity. To address this issue, we propose a non-lexical headmodifier based reordering model on word level by utilizing constituent based parse tree in source side. Our experimental results on the NIST Chinese- English benchmarking data show that, with a very small size model, our method significantly outperforms the baseline by 1.48% bleu score.; EI; 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/329680]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Liu, Shui,Li, Sheng,Zhao, Tiejun,et al. Head-modifier relation based non-lexical reordering model for phrase-based translation. 2010-01-01.

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