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Modeling the translation of predicate-argument structure for SMT

Authors:

Haizhou LiAuthors Info & Claims

ACL '12: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1

Pages 902 - 911

Published: 08 July 2012 Publication History

Abstract

Predicate-argument structure contains rich semantic information of which statistical machine translation hasn't taken full advantage. In this paper, we propose two discriminative, feature-based models to exploit predicate-argument structures for statistical machine translation: 1) a predicate translation model and 2) an argument reordering model. The predicate translation model explores lexical and semantic contexts surrounding a verbal predicate to select desirable translations for the predicate. The argument reordering model automatically predicts the moving direction of an argument relative to its predicate after translation using semantic features. The two models are integrated into a state-of-the-art phrase-based machine translation system and evaluated on Chinese-to-English translation tasks with large-scale training data. Experimental results demonstrate that the two models significantly improve translation accuracy.

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Cited By

Yang HZong C(2016)Learning Generalized Features for Semantic Role LabelingACM Transactions on Asian and Low-Resource Language Information Processing10.1145/289049615:4(1-16)Online publication date: 12-Apr-2016
https://dl.acm.org/doi/10.1145/2890496
Yang HZhou YZong C(2016)Bilingual Semantic Role Labeling Inference via Dual DecompositionACM Transactions on Asian and Low-Resource Language Information Processing10.1145/283549315:3(1-21)Online publication date: 9-Jan-2016
https://dl.acm.org/doi/10.1145/2835493
Ding CSakanushi KTouji HYamamoto M(2016)Inter-, Intra-, and Extra-Chunk Pre-Ordering for Statistical Japanese-to-English Machine TranslationACM Transactions on Asian and Low-Resource Language Information Processing10.1145/281838115:3(1-28)Online publication date: 9-Jan-2016
https://dl.acm.org/doi/10.1145/2818381
Show More Cited By

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Information & Contributors

Information

Published In

cover image DL Hosted proceedings

ACL '12: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1

July 2012

1100 pages

General Chair:
Haizhou Li
Institute for Infocomm Research
,
Program Chairs:
Chin-Yew Lin
Microsoft Research Asia
,
Miles Osborne
University of Edinburgh

Publisher

Association for Computational Linguistics

United States

Publication History

Published: 08 July 2012

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Overall Acceptance Rate 85 of 443 submissions, 19%

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Cited By

Yang HZong C(2016)Learning Generalized Features for Semantic Role LabelingACM Transactions on Asian and Low-Resource Language Information Processing10.1145/289049615:4(1-16)Online publication date: 12-Apr-2016
https://dl.acm.org/doi/10.1145/2890496
Yang HZhou YZong C(2016)Bilingual Semantic Role Labeling Inference via Dual DecompositionACM Transactions on Asian and Low-Resource Language Information Processing10.1145/283549315:3(1-21)Online publication date: 9-Jan-2016
https://dl.acm.org/doi/10.1145/2835493
Ding CSakanushi KTouji HYamamoto M(2016)Inter-, Intra-, and Extra-Chunk Pre-Ordering for Statistical Japanese-to-English Machine TranslationACM Transactions on Asian and Low-Resource Language Information Processing10.1145/281838115:3(1-28)Online publication date: 9-Jan-2016
https://dl.acm.org/doi/10.1145/2818381
Goto IUtiyama MSumita ETamura AKurohashi S(2014)Distortion Model Based on Word Sequence Labeling for Statistical Machine TranslationACM Transactions on Asian Language Information Processing10.1145/253712813:1(1-21)Online publication date: 1-Feb-2014
https://dl.acm.org/doi/10.1145/2537128

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