skip to main content
10.3115/1119250.1119264dlproceedingsArticle/Chapter ViewAbstractPublication PagessighanConference Proceedingsconference-collections
Article
Free Access

Semantic maps for word alignment in bilingual parallel corpora

Published:11 July 2003Publication History

ABSTRACT

Effective self-organizing techniques for constructing monolingual semantic maps of Japanese and Chinese have already been developed. By extending the monolingual map to a bilingual semantic map, we have proposed a semantics-based approach for word alignment in a Japanese/Chinese bilingual corpus.

References

  1. Brown, P. F., Cocke, J., Della Pietra, S. A., Della Pietra, V. J., Jelinek, F., Mercer, R. L., Roossin, P.: A statistical approach to language translation, COLING'88, pp. 71--76, 1988. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Brown, P. F., Della Pietra, S. A., Della Pietra, V. J., Mercer, R. L.: The mathematics of statistical machine translation: parameter estimation, Computational Linguistics, Vol. 19, No. 2, pp. 263--311, 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Brown, R. D.: Automated dictionary example-based translation, Proceedings of the Seventh International Conference on Theoretical and Methodological Issues in Machine Translation, pp. 111--118, 1997.Google ScholarGoogle Scholar
  4. Dagan, I., Church, K. W., Gale, W. A.: Robust bilingual word alignment for machine aided translation, Proceedings of the Workshop on Very Large Corpora, pp. 1--8, 1993.Google ScholarGoogle Scholar
  5. Kurohashi, S., Nagao, M: Kyoto University text corpus project, Proc. 3rd Annual Meeting of the Association for Natural Language Processing, pp. 115--118, 1997 (in Japanese).Google ScholarGoogle Scholar
  6. Kaji, H., Kida, Y., Morimoto Y.: Learning translation templates from bilingual text, COLING'92, pp. 672--678, 1992. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Ma, Q., Zhang, M., Murata, M., Zhou, M., Isahara, H.: Self-Organizing Chinese and Japanese Semantic Maps, The 19th International Conference on Computational Linguistics (COLING'2002), Taiwan, pp. 605--611, August, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Matsumoto, Y., Ishimoto, H, Utsuro, T.: Structural matching of parallel texts, ACL'93, pp. 23--30, 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Macklovitch, E., Hannan, M. L.: Line 'em up: advances in alignment technology and their impact on translation support tools, in Expanding MT Horizons, Second Conference of the Association for Machine Translation in the Americas, Montreal, pp. 145--156, 1996.Google ScholarGoogle Scholar
  10. Varea, I. G., Och, F. J., Casacuberta, F.: Improving alignment quality in statistical machine translation using context-dependent maximum entropy models, COLING2002, pp. 1051--1057, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Wu, D.: An algorithm for simultaneously bracketing parallel texts by aligning words, ACL-95, pp. 244--251, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Imamura, K.: Hierarchical phrase alignment harmonized with parsing, NLPRS2001, pp. 377--384, 2001.Google ScholarGoogle Scholar
  13. Kohonen, T.: Self-organizing maps, Springer, 2nd Edition, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Zhou, Q. Duan, H.: Segmentation and tagging in modern Chinese corpus, Chinese Journal of Computers, Vol. 85, 1994.Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image DL Hosted proceedings
    SIGHAN '03: Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
    July 2003
    193 pages

    Publisher

    Association for Computational Linguistics

    United States

    Publication History

    • Published: 11 July 2003

    Qualifiers

    • Article

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader