Tuning syntactically enhanced word alignment for statistical machine translation

Proceedings of the 13th Annual Conference of the European Association for Machine Translation, EAMT 2009

Volumn , Issue , 2009, Pages 250-257

  Ma, Yanjun ^a   Lambert, Patrik ^a   Way, Andy ^a  

^a DUBLIN CITY UNIVERSITY   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINATIVE MODELS; GENERATIVE MODEL; OPTIMISATIONS; PHRASE-BASED STATISTICAL MACHINE TRANSLATION; STATISTICAL MACHINE TRANSLATION; WORD ALIGNMENT;

INFORMATION THEORY;

ALIGNMENT;

EID: 84863183471     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. Brown, Peter F., Stephen A. Della Pietra, Vincent J. Della Pietra, and Robert L. Mercer. 1993. The mathematics of statistical machine translation: Parameter estimation. Computational Linguistics, 19(2):263-311.
2. Deng, Yonggang and William Byrne. 2006. MTTK: An alignment toolkit for statistical machine translation. In Proceedings of the Human Language Technology Conference of the NAACL, pages 265-268, New York City, NY.
3. Dunning, Ted. 1993. Accurate methods for the statistics of surprise and coincidence. Computational Linguistics, 19(1):61-74.
4. Fordyce, Cameron Shaw. 2007. Overview of the IWSLT 2007 Evaluation Campaign. In Proceedings of the International Workshop on Spoken Language Translation, pages 1-12, Trento, Italy.
5. Fraser, Alexander and Daniel Marcu. 2007. Measuring word alignment quality for statistical machine translation. Computational Linguistics, 33(3):293-303.
6. Hwa, Rebecca, Philip Resnik, Amy Weinberg, and Okan Kolak. 2002. Evaluating translational correspondence using annotation projection. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pages 392-399, Philadelphia, PA.
7. Ittycheriah, Abraham and Salim Roukos. 2005. A maximum entropy word aligner for Arabic-English machine translation. In Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pages 89-96, Vancouver, British Columbia, Canada.
8. Koehn, Philipp, Franz Och, and Daniel Marcu. 2003. Statistical phrase-based translation. In Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pages 48-54, Edmonton, Canada.
9. Koehn, Philipp, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, and Evan Herbst. 2007. Moses: Open source toolkit for statistical machine translation. In Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics Companion Volume Proceedings of the Demo and Poster Sessions, pages 177-180, Prague, Czech Republic.
10. Lambert, Patrik, Rafael E. Banchs, and Josep M. Crego. 2007. Discriminative alignment training without annotated data for machine translation. In Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics, pages 85-88, Rochester, NY.
11. Liang, Percy, Ben Taskar, and Dan Klein. 2006. Alignment by agreement. In Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pages 104-111, New York, NY.
12. Liu, Yang, Qun Liu, and Shouxun Lin. 2005. Log-linear models for word alignment. In Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics, pages 459-466, Ann Arbor, MI.
13. Ma, Yanjun, Sylwia Ozdowska, Yanli Sun, and Andy Way. 2008. Improving word alignment using syntactic dependencies. In Proceedings of the ACL-08: HLT Second Workshop on Syntax and Structure in Statistical Translation (SSST-2), pages 69-77, Columbus, OH.
14. Melamed, I. Dan. 2000. Models of translational equivalence among words. Computational Linguistics, 26(2):221-249.
15. Moore, Robert C. 2005. A discriminative framework for bilingual word alignment. In Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, pages 81-88, Vancouver, BC, Canada.
16. Nivre, Joakim, Johan Hall, Jens Nilsson, Atanas Chanev, Gülsen Eryigit, Sandra Kübler, Svetoslav Marinov, and Ervin Marsi. 2007. MaltParser: A language-independent system for data-driven dependency parsing. Natural Language Engineering, 13(2):95-135.
17. Noreen, Eric W. 1989. Computer-Intensive Methods for Testing Hypotheses: An Introduction. Wiley-Interscience, New York, NY.
18. Och, Franz and Hermann Ney. 2003. A systematic comparison of various statistical alignment models. Computational Linguistics, 29(1):19-51.
19. Och, Franz. 2003. Minimum error rate training in statistical machine translation. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, pages 160-167, Sapporo, Japan.
20. Papineni, Kishore, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. BLEU: a method for automatic evaluation of machine translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pages 311-318, Philadelphia, PA.
21. Ratnaparkhi, Adwait. 1996. A maximum entropy model for part-of-speech tagging. In Brill, Eric and Kenneth Church, editors, Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 133-142, Somerset, NJ.
22. Stolcke, Andrea. 2002. SRILM - An extensible language modeling toolkit. In Proceedings of the International Conference on Spoken Language Processing, pages 901-904, Denver, CO.
23. Vilar, David, Maja Popovic, and Hermann Ney. 2006. AER: Do we need to "improve" our alignments? In Proceedings of the International Workshop on Spoken Language Translation, pages 205-212, Kyoto, Japan.
24. Vogel, Stefan, Hermann Ney, and Christoph Tillmann. 1996. HMM-based word alignment in statistical translation. In Proceedings of the 16th International Conference on Computational Linguistics, pages 836-841, Copenhagen, Denmark.