The MIT-LL/AFRL MT System

2005 International Workshop on Spoken Language Translation, IWSLT 2005

Volumn , Issue , 2005, Pages 99-103

  Shen, Wade ^a   Delaney, Brian ^a   Anderson, Tim ^b  

^a MIT LINCOLN LABORATORY   (United States)

^b AIR FORCE RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SPEECH TRANSMISSION;

DECODING TECHNIQUES; LONG-TERM GOALS; TRAINING TECHNIQUES; TRANSLATION SYSTEMS;

TRANSLATION (LANGUAGES);

EID: 84882304877     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. Brown, P., Della Pietra, V., Della Pietra, S. and Mercer, R. “The mathematics of statistical machine translation: Parameter estimation”, Computational Linguistics 19(2):263-311. 1993.
2. Vogel, S., Ney, H., and Tillmann, C. “HMM-based word alignment in statistical translation”, In Proceedings of the 16th Conference on Computational Linguistics - Volume 2, pp. 836-841, Copenhagen, Denmark, August, 1996.
3. Al-Onaizan, Y., Curin, J., Jahr, M., Knight, K., Lafferty, J., Melamed, I.D., Och, F.J., Purdy, D., Smith, N.A., Yarowsky, D., “Statistical machine translation: Final report”, In Proceedings of the Summer Workshop on Language Engineering. John Hopkins University Center for Language and Speech Processing, Baltimore, MD 1999.
4. Och, F. J. and Hermann, N. “Improved Statistical Alignment Models”, In Proc. of the 38th Annual Meeting of the Association for Computational Linguistics, pp. 440-447, Hong Kong, October, 2000.
5. Koehn, P., Och, F. J. and Marcu, D., “Statistical Phrase-Based Translation”, In Proceedings of the Human Language Technology Conference 2003 (HLT-NAACL 2003), Edmonton, Canada, May 2003.
6. Och, F. J. and Ney, H., “Discriminative Training and Maximum Entropy Models for Statistical Machine Translation”. In ACL 2002: Proc. of the 40th Annual Meeting of the Association for Computational Linguistics, pp. 295-302, Philadelphia, PA, July 2002.
7. Och, F. J., “Minimum Error Rate Training for Statistical Machine Translation”, In ACL 2003: Proc. of the 41st Annual Meeting of the Association for Computational Linguistics, Japan, Sapporo, July 2003.
8. Venugopal, A. and Vogel S., “Considerations in Minimum Classification Error and Maximum Mutual Information Training for Statistical Machine Translation”, In Proceedings of the Tenth Conference of the European Association for Machine Translation (EAMT-05), Budapest, Hungary, May 2005.
9. Koehn, P., “Pharaoh: A Beam Search Decoder for Phrase-Based Statistical Machine Translation Models”, In Proceedings of the Association of Machine Translation in the Americas (AMTA-2004), Washington, DC, October, 2004.
10. Ueffing, N., Och, F. J., Ney, H., “Generation of Word Graphs in Statistical Machine Translation”, In Proc. Conference on Empirical Methods for Natural Language Processing, pp. 156-163, Philadelphia, PA, July 2002.
11. Thayer, I., Ettelaie, E., Knight, K., Marcu, D., Munteanu D. S., Och F. J., and Tipu, Q., “The ISI/USC MT System”, In Proc. of the International Workshop on Spoken Language Translation, Kyoto, Japan, 2004.
12. Stolcke, A., “SRILM – An Extensible Language Modeling Toolkit”, In Proceedings of the International Conference on Spoken Language Processing, Denver, CO, 2002.
13. Chen, S. F. and Goodman, J., “An Empirical Study of Smoothing Techniques for Language Modeling”, Computer Speech and Language, 13:359–394, October, 1999.
14. Goodman, J., “A Bit of Progress in Language Modeling”, Computer Speech and Language, pp. 403—434, 2001.
15. Cettolo, M. and Federico, M., “Minimum Error Rate Training of Log-Linear Translation Models”, In Proc. of the International Workshop on Spoken Language Translation, Kyoto, Japan, 2004.
16. Bender, O., Zens, R., Matusov, E. and Ney, H., “Alignment Templates: the RWTH SMT System”, In Proc. of the International Workshop on Spoken Language Translation, Kyoto, Japan, 2004.
17. Och, F., “The Google MT System”, Presentation at NIST MT Workshop, Bethesda, MD, 2005.