Statistical machine translation through global lexical selection and sentence reconstruction

ACL 2007 - Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2007, Pages 152-159

  Bangalore, Srinivas ^a   Haffner, Patrick ^a   Kanthak, Stephan ^a  

^a AT AND T LABS RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FINITE-STATE; MACHINE TRANSLATIONS; SOURCE LANGUAGE; STATISTICAL MACHINE TRANSLATION; STATISTICAL MACHINE TRANSLATION SYSTEM; TARGET LANGUAGE;

COMPUTATIONAL LINGUISTICS;

COMPUTER AIDED LANGUAGE TRANSLATION;

EID: 84860530970     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. H. Alshawi, S. Bangalore, and S. Douglas. 1998. Automatic acquisition of hierarchical transduction models for machine translation. In ACL, Montreal, Canada.
2. R.E. Banchs, J.M. Crego, A. Gispert, P. Lambert, and J.B. Marino. 2005. Statistical machine translation of euparl data by using bilingual n-grams. In Workshop on Building and Using Parallel Texts. ACL.
3. S. Bangalore and A. K. Joshi. 1999. Supertagging: An approach to almost parsing. Computational Linguistics, 25(2).
4. S. Bangalore and G. Riccardi. 2000. Stochastic finite-state models for spoken language machine translation. In Proceedings of the Workshop on Embedded Machine Translation Systems, pages 52-59.
5. A.L. Berger, Stephen A. D. Pietra, D. Pietra, and J. Vincent. 1996. A Maximum Entropy Approach to Natural Language Processing. Computational Linguistics, 22(1):39-71.
6. P. Brown, S.D. Pietra, V.D. Pietra, and R. Mercer. 1993. The Mathematics of Machine Translation: Parameter Estimation. Computational Linguistics, 16(2):263-312.
7. D. Chiang. 2005. A hierarchical phrase-based model for statistical machine translation. In Proceedings of the ACL Conference, Ann Arbor, MI.
8. B. Cowan, I. Kucerova, and M. Collins. 2006. A discriminative model for tree-to-tree translation. In Proceedings of EMNLP.
9. H. Daume, J. Langford, and D. Marcu. 2007. Search-based structure prediction. submitted to Machine Learning Journal.
10. M. Dudik, S. Phillips, and R.E. Schapire. 2004. Performance Guarantees for Regularized Maximum Entropy Density Estimation. In Proceedings of COLT'04, Banff, Canada.Springer Verlag.
11. V. Goffin, C. Allauzen, E. Bocchieri, D. Hakkani-Tur, A. Ljolje, S. Parthasarathy, M. Rahim, G. Riccardi, and M. Saraclar. 2005. The AT&T WATSON Speech Recognizer. In Proceedings of ICASSP, Philadelphia, PA.
12. H. Hassan, M. Hearne, K. Sima'an, and A. Way. 2006. Syntactic phrase-based statistical machine translation. In Proceedings of IEEE/ACL first International Workshop on Spoken Language Technology (SLT), Aruba, December.
13. S. Kanthak, D. Vilar, E. Matusov, R. Zens, and H. Ney. 2005. Novel reordering approaches in phrase-based statistical machine translation. In Proceedings of the ACL Workshop on Building and Using Parallel Texts, pages 167-174, Ann Arbor, Michigan.
14. J. Lafferty, A. McCallum, and F. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of ICML, San Francisco, CA.
15. R. Malouf. 2002. A comparison of algorithms for maximum entropy parameter estimation. In Proceedings of CoNLL-2002, pages 49-55. Taipei, Taiwan.
16. I. D. Melamed. 2004. Statistical machine translation by parsing. In Proceedings of ACL.
17. F. J. Och and H. Ney. 2002. Discriminative training and maximum entropy models for statistical machine translation. In Proceedings of ACL.
18. F.J. Och and H. Ney. 2003. A systematic comparison of various statistical alignment models. Computational Linguistics, 29(1):19-51.
19. Ryan Rifkin and Aldebaro Klautau. 2004. In defense of onevs-all classification. Journal of Machine Learning Research, pages 101-141.
20. C. Tillmann and T. Zhang. 2006. A discriminative global training algorithm for statistical mt. In COLING-ACL.
21. V.N. Vapnik. 1998. Statistical Learning Theory. John Wiley & Sons.
22. B.Wellington, J. Turian, C. Pike, and D. Melamed. 2006. Scalable purely-discriminative training for word and tree transducers. In AMTA.
23. D. Wu. 1997. Stochastic Inversion Transduction Grammars and Bilingual Parsing of Parallel Corpora. Computational Linguistics, 23(3):377-404.
24. th ACL.
25. R. Zens and H. Ney. 2004. Improvements in phrase-based statistical machine translation. In Proceedings of HLT-NAACL, pages 257-264, Boston, MA.
26. H. Zhang and D. Gildea. 2005. Stochastic lexicalized inversion transduction grammar for alignment. In Proceedings of ACL.