Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41625
Title: Exploring syntactic structural features for sub-tree alignment using Bilingual Tree Kernels
Authors: Sun, J. 
Zhang, M.
Tan, C.L. 
Issue Date: 2010
Source: Sun, J.,Zhang, M.,Tan, C.L. (2010). Exploring syntactic structural features for sub-tree alignment using Bilingual Tree Kernels. ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference : 306-315. ScholarBank@NUS Repository.
Abstract: We propose Bilingual Tree Kernels (BTKs) to capture the structural similarities across a pair of syntactic translational equivalences and apply BTKs to sub-tree alignment along with some plain features. Our study reveals that the structural features embedded in a bilingual parse tree pair are very effective for sub-tree alignment and the bilingual tree kernels can well capture such features. The experimental results show that our approach achieves a significant improvement on both gold standard tree bank and automatically parsed tree pairs against a heuristic similarity based method. We further apply the sub-tree alignment in machine translation with two methods. It is suggested that the sub-tree alignment benefits both phrase and syntax based systems by relaxing the constraint of the word alignment. © 2010 Association for Computational Linguistics.
Source Title: ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference
URI: http://scholarbank.nus.edu.sg/handle/10635/41625
ISBN: 9781617388088
Appears in Collections:Staff Publications

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