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Alignment model adaptation for domain-specific word alignment

Authors:

Wu Hua,

Wang Haifeng,

Liu ZhanyiAuthors Info & Claims

ACL '05: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics

Pages 467 - 474

https://doi.org/10.3115/1219840.1219898

Published: 25 June 2005 Publication History

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Abstract

This paper proposes an alignment adaptation approach to improve domain-specific (in-domain) word alignment. The basic idea of alignment adaptation is to use out-of-domain corpus to improve in-domain word alignment results. In this paper, we first train two statistical word alignment models with the large-scale out-of-domain corpus and the small-scale in-domain corpus respectively, and then interpolate these two models to improve the domain-specific word alignment. Experimental results show that our approach improves domain-specific word alignment in terms of both precision and recall, achieving a relative error rate reduction of 6.56% as compared with the state-of-the-art technologies.

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Foster GGoutte CKuhn RLi HMàrquez L(2010)Discriminative instance weighting for domain adaptation in statistical machine translationProceedings of the 2010 Conference on Empirical Methods in Natural Language Processing10.5555/1870658.1870702(451-459)Online publication date: 9-Oct-2010
https://dl.acm.org/doi/10.5555/1870658.1870702
Wu HWang HLiu Z(2006)Boosting statistical word alignment using labeled and unlabeled dataProceedings of the COLING/ACL on Main conference poster sessions10.5555/1273073.1273190(913-920)Online publication date: 17-Jul-2006
https://dl.acm.org/doi/10.5555/1273073.1273190
Wang HWu HLiu Z(2006)Word alignment for languages with scarce resources using bilingual corpora of other language pairsProceedings of the COLING/ACL on Main conference poster sessions10.5555/1273073.1273185(874-881)Online publication date: 17-Jul-2006
https://dl.acm.org/doi/10.5555/1273073.1273185

Alignment model adaptation for domain-specific word alignment
1. Computing methodologies
  1. Artificial intelligence
2. Hardware
  1. Power and energy
    1. Power estimation and optimization

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Published In

ACL '05: Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics

June 2005

657 pages

General Chair:
Kevin Knight
University of Southern California

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Association for Computational Linguistics

United States

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Published: 25 June 2005

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ACL '05 Paper Acceptance Rate 77 of 423 submissions, 18%;

Overall Acceptance Rate 85 of 443 submissions, 19%

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Foster GGoutte CKuhn RLi HMàrquez L(2010)Discriminative instance weighting for domain adaptation in statistical machine translationProceedings of the 2010 Conference on Empirical Methods in Natural Language Processing10.5555/1870658.1870702(451-459)Online publication date: 9-Oct-2010
https://dl.acm.org/doi/10.5555/1870658.1870702
Wu HWang HLiu Z(2006)Boosting statistical word alignment using labeled and unlabeled dataProceedings of the COLING/ACL on Main conference poster sessions10.5555/1273073.1273190(913-920)Online publication date: 17-Jul-2006
https://dl.acm.org/doi/10.5555/1273073.1273190
Wang HWu HLiu Z(2006)Word alignment for languages with scarce resources using bilingual corpora of other language pairsProceedings of the COLING/ACL on Main conference poster sessions10.5555/1273073.1273185(874-881)Online publication date: 17-Jul-2006
https://dl.acm.org/doi/10.5555/1273073.1273185

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Two-Word Collocation Extraction Using Monolingual Word Alignment Method

Collocation extraction using monolingual word alignment method

Improving domain-specific word alignment for computer assisted translation

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