Speaker Yang Liu
Host Jianfeng Gao
Affiliation Institute of Computing Technology, Chinese Academy of Sciences
Date recorded 13 July 2009
Recent research on statistical machine translation has lead to the rapid development of syntax-based translation models, which exploit syntactic information to direct translation. In this talk, I will give an overview of tree-to-string translation models, one of the state-of-the-art syntax-based models. In a tree-to-string model, the source side is a phrase structure parse tree and the target side is a string. This talk includes the following topics: (1) tree-based tree-to-string model, (2) tree-sequence based tree-to-string model, (3) forest-based tree-to-string model, and (4) context-aware tree-to-string model. Experimental results show that the forest-based tree-to-string system outperforms Hiero significantly on Chinese-to-English translation.
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