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Collocation translation acquisition using monolingual corpora

Authors:

Ming ZHOUAuthors Info & Claims

ACL '04: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics

Pages 167 - es

https://doi.org/10.3115/1218955.1218977

Published: 21 July 2004 Publication History

Abstract

Collocation translation is important for machine translation and many other NLP tasks. Unlike previous methods using bilingual parallel corpora, this paper presents a new method for acquiring collocation translations by making use of monolingual corpora and linguistic knowledge. First, dependency triples are extracted from Chinese and English corpora with dependency parsers. Then, a dependency triple translation model is estimated using the EM algorithm based on a dependency correspondence assumption. The generated triple translation model is used to extract collocation translations from two monolingual corpora. Experiments show that our approach outperforms the existing monolingual corpus based methods in dependency triple translation and achieves promising results in collocation translation extraction.

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Cited By

Xu RWong KLu QLi W(2006)An improved method for finding bilingual collocation correspondences from monolingual corporaProceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead10.1007/11940098_6(51-62)Online publication date: 17-Dec-2006
https://dl.acm.org/doi/10.1007/11940098_6

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ACL '04: Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics

July 2004

729 pages

General Chair:
Donia Scott
ITRI, University of Brighton

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Association for Computational Linguistics

United States

Publication History

Published: 21 July 2004

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Cited By

Xu RWong KLu QLi W(2006)An improved method for finding bilingual collocation correspondences from monolingual corporaProceedings of the 21st international conference on Computer Processing of Oriental Languages: beyond the orient: the research challenges ahead10.1007/11940098_6(51-62)Online publication date: 17-Dec-2006
https://dl.acm.org/doi/10.1007/11940098_6

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