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|Title:||Exploring syntactic structural features for sub-tree alignment using Bilingual Tree Kernels||Authors:||Sun, J.
|Issue Date:||2010||Citation:||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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