Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/42146
Title: A tree sequence alignment-based tree-to-tree translation model
Authors: Zhang, M.
Jiang, H.
Aw, A.
Li, H.
Tan, C.L. 
Li, S.
Issue Date: 2008
Source: 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
URI: http://scholarbank.nus.edu.sg/handle/10635/42146
ISBN: 9781932432046
Appears in Collections:Staff Publications

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