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• W2103349228 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 subtree alignment benefits both phrase and syntax based systems by relaxing the constraint of the word alignment." @default.
• W2103349228 created "2016-06-24" @default.
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• W2103349228 date "2010-07-11" @default.
• W2103349228 modified "2023-09-23" @default.
• W2103349228 title "Exploring Syntactic Structural Features for Sub-Tree Alignment Using Bilingual Tree Kernels" @default.
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