Multi-align: Combining Linguistic and Statistical Techniques to Improve Alignments for Adaptable MT-Reference-Cited by-同舟云学术

Multi-align: Combining Linguistic and Statistical Techniques to Improve Alignments for Adaptable MT

Published:2004 Issue: Volume: Page:17-26
ISSN:0302-9743
Container-title:Machine Translation: From Real Users to Research
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Author:

Ayan Necip Fazil,Dorr Bonnie J.,Habash Nizar

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-30194-3_3.pdf

Reference22 articles.

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3. Collins, M.: Three Generative Lexicalized Models for Statistical Parsing. In: Proceedings of ACL 1997, Madrid, Spain (1997)

4. Diab, M., Resnik, P.: An Unsupervised Method for Word Sense Tagging Using Parallel Corpora. In: Proceedings of ACL 2002, Philadelphia, PA (2002)

5. Dorr, B.J., Pearl, L., Hwa, R., Habash, N.: DUSTer: A Method for Unraveling Cross-Language Divergences for Statistical Word–Level Alignment. In: Proceedings of AMTA 2002, Tiburon, CA (2002)

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