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2008

A Tree Sequence Alignment-based Tree-to-Tree Translation Model

11 years 3 months ago
A Tree Sequence Alignment-based Tree-to-Tree Translation Model
This paper presents a translation model that is based on tree sequence alignment, where a tree sequence refers to a single sequence of subtrees that covers a phrase. The model leverages on the strengths of both phrase-based and linguistically syntax-based method. It automatically learns aligned tree sequence pairs with mapping probabilities from word-aligned biparsed parallel texts. Compared with previous models, it not only captures non-syntactic phrases and discontinuous phrases with linguistically structured features, but also supports multi-level structure reordering of tree typology with larger span. This gives our model stronger expressive power than other reported models. Experimental results on the NIST MT-2005 Chinese-English translation task show that our method statistically significantly outperforms the baseline systems.
Min Zhang, Hongfei Jiang, AiTi Aw, Haizhou Li, Che
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ACL
Authors Min Zhang, Hongfei Jiang, AiTi Aw, Haizhou Li, Chew Lim Tan, Sheng Li
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