Conference Proceedings

Stochastic lexicalized Inversion Transduction Grammar for Alignment

ACL-05 - 43rd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (2005) 475-482
DOI: 10.3115/1219840.1219899
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Abstract

We present a version of Inversion Transduction Grammar where rule probabilities are lexicalized throughout the synchronous parse tree, along with pruning techniques for efficient training. Alignment results improve over unlexicalized ITG on short sentences for which full EM is feasible, but pruning seems to have a negative impact on longer sentences. © 2005 Association for Computational Linguistics.

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Zhang, H., & Gildea, D. (2005). Stochastic lexicalized Inversion Transduction Grammar for Alignment. In ACL-05 - 43rd Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (pp. 475–482). https://doi.org/10.3115/1219840.1219899

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