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|Title:||A tree sequence alignment-based tree-to-tree translation model|
|Citation:||Zhang, M.,Jiang, H.,Aw, A.,Li, H.,Tan, C.L.,Li, S. (2008). A tree sequence alignment-based tree-to-tree translation model. ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference : 559-567. ScholarBank@NUS Repository.|
|Abstract:||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. © 2008 Association for Computational Linguistics.|
|Source Title:||ACL-08: HLT - 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference|
|Appears in Collections:||Staff Publications|
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