Word Translation Disambiguation Using Bilingual Bootstrapping

Computational Linguistics

Volumn 30, Issue 1, 2004, Pages 1-22

  Li, Hang ^a,b   Li, Cong ^a,b  

^a MICROSOFT RESEARCH ASIA   (China)

^b 5F Sigma Center ^*  (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); LEARNING ALGORITHMS; LEARNING SYSTEMS;

LARGE AMOUNTS; MACHINE LEARNING TECHNIQUES; TARGET LANGUAGE; WORD TRANSLATION;

TRANSLATION (LANGUAGES);

EID: 2142838403     PISSN: 08912017     EISSN: None     Source Type: Journal    
DOI: 10.1162/089120104773633367     Document Type: Article

References (29)

1. Banko, Michele, and Eric Brill. 2001. Scaling to very very large corpora for natural language disambiguation. In Proceedings of the 39th Annual Meeting of the Association for Computational Linguistics, pages 26-33, Toulouse, Prance.
2. Blum, Avrim, and Tom M. Mitchell. 1998. Combining labeled and unlabeled data with co-training. In Proceedings of the 11th Annual Conference on Computational Learning Theory, pages 92-100, Madison, WI.
3. Brown, Peter F., Stephen A. Della Pietra, Vincent J. Della Pietra, and Robert L. Mercer. 1991. Word sense disambiguation using statistical methods. In Proceedings of the 29th Annual Meeting of the Association for Computational Linguistics, pages 264-270, University of California, Berkeley.
4. Bruce, Rebecca, and Janyce Weibe. 1994. Word-sense disambiguation using decomposable models. In Proceedings of the 32nd Annual Meeting of the Association for Computational Linguistics, pages 139-146, New Mexico State University, Las Cruces.
5. Collins, Michael, and Yoram Singer. 1999. Unsupervised models for named entity classification. In Proceedings of the 1999 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, University of Maryland, College Park.
6. Dagan, Ido, and Alon Itai. 1994. Word sense disambiguation using a second language monolingual corpus. Computational Linguistics, 20(4):563-596.
7. Dempster, A. P., N. M. Laird, and D. B. Rubin. 1977. Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society B, 39:1-38.
8. Escudero, Gerard, Lluis Marquez, and German Rigau. 2000. Boosting applied to word sense disambiguation. In Proceedings of the 12th European Conference on Machine Learning, pages 129-141, Barcelona.
9. Gale William, Kenneth Church, and David Yarowsky. 1992a. A method for disambiguating word senses in a large corpus. Computers and Humanities, 26:415-439.
10. Gale, William, Kenneth Church, and David Yarowsky. 1992b. One sense per discourse. In Proceedings of DARPA Speech and Natural Language Workshop, pages 233-237, Harriman, NY.
11. Golding, Andrew R., and Dan Roth. 1999. A Winnow-based approach to context-sensitive spelling correction. Machine Learning, 34:107-130.
12. Kikui, Genichiro. 1999. Resolving translation ambiguity using non-parallel bilingual corpora. In Proceedings of ACL '99 Workshop on Unsupervised Learning in Natural Language Processing, University of Maryland, College Park.
13. Koehn, Philipp, and Kevin Knight. 2000. Estimating word translation probabilities from unrelated monolingual corpora using the EM algorithm. In Proceedings of the 17th National Conference on Artificial Intelligence, pages 711-715, Austin, TX.
14. Li, Hang, and Kenji Yamanishi. 2002. Text classification using ESC-based stochastic decision lists. Information Processing and Management, 38:343-361.
15. Lin, Dekang. 1997. Using syntactic dependency as local context to resolve word sense ambiguity. In Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics, pages 64-71, Universidad Nacional de Educación a Distancia (UNED), Madrid.
16. Mangu, Lidia, and Eric Brill. 1997. Automatic rule acquisition for spelling correction. In Proceedings of the 14th International Conference on Machine Learning, pages 187-194, Nashville, TN.
17. Mihalcea, Rada, and Dan I. Moldovan. 1999. A method for word sense disambiguation of unrestricted text. In Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics, pages 152-158, University of Maryland, College Park.
18. Ng, Hwee Tou, and Hian Beng Lee. 1996. Integrating multiple knowledge sources to disambiguate word sense: An exemplar-based approach. In Proceedings of the 34th Annual Meeting of the Association for Computational Linguistics, pages 40-47, University of California, Santa Cruz.
19. Nigam, Kamal, Andrew McCallum, Sebastian Thrun, and Tom M. Mitchell. 2000. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2-3):103-134.
20. Nigam, Kamal, and Rayid Ghani. 2000. Analyzing the effectiveness and applicability of co-training. In Proceedings of the 9th International Conference on Information and Knowledge Management, pages 86-93, McLean, VA.
21. Pedersen, Ted. 2000. A simple approach to building ensembles of naive Bayesian classifiers for word sense disambiguation. In Proceedings of the First Meeting of the North American Chapter of the Association for Computational Linguistics, Seattle.
22. Pedersen, Ted, and Rebecca Bruce. 1997. Distinguishing word senses in untagged text. In Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, pages 197-207, Providence, RI.
23. Pierce, David, and Claire Cardie. 2001. Limitations of co-training for natural language learning from large datasets. In Proceedings of the 2001 Conference on Empirical Methods in Natural Language Processing, Carnegie Mellon University, Pittsburgh.
24. Schutze, Hinrich. 1998. Automatic word sense discrimination. Computational Linguistics, 24(1):97-124.
25. Towell, Geoffrey, and Ellen M. Voorhees. 1998. Disambiguating highly ambiguous words. Computational Linguistics, 24(1):125-146.
26. Yang, Yiming, and Xin Liu. 1999. A re-examination of text categorization methods. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 42-49, Berkeley, CA.
27. Yarowsky, David. 1994. Decision lists for lexical ambiguity resolution: Application to accent restoration in Spanish and French. In Proceedings of the 32nd Annual Meeting of the Association for Computational Linguistics, pages 88-95, New Mexico State University, Las Cruces.
28. Yarowsky, David. 1995. Unsupervised word sense disambiguation rivaling supervised methods. In Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics, pages 189-196.
29. Zhou, Ming, Yuan Ding, and Changning Huang. 2001. Improving translation selection with a new translation model trained by independent monolingual corpora. International Journal of Computational Linguistics and Chinese Language Processing, 6(1):1-26.