AER: Do we need to “improve” our alignments?

2006 International Workshop on Spoken Language Translation, IWSLT 2006

Volumn , Issue , 2006, Pages 205-212

  Vilar, David ^a   Popović, Maja ^a   Ney, Hermann ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER AIDED LANGUAGE TRANSLATION; MACHINE TRANSLATION;

STATISTICAL MACHINE TRANSLATION SYSTEM; TRANSLATION MODELS; TRANSLATION QUALITY;

ALIGNMENT;

EID: 84857541680     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. P. F. Brown, S. A. Della Pietra, V. J. Della Pietra, and R. L. Mercer, “The mathematics of statistical machine translation: Parameter estimation,” Computational Linguistics, vol. 19, no. 2, pp. 263-311, June 1993.
2. R. Zens, O. Bender, S. Hasan, S. Khadivi, E. Matusov, J. Xu, Y. Zhang, and H. Ney, “The RWTH phrase-based statistical machine translation system,” in Proceedings of the International Workshop on Spoken Language Translation (IWSLT), Pittsburgh, PA, October 2005, pp. 155-162.
3. D. Chiang, “A hierarchical phrase-based model for statistical machine translation,” in Proc. of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL), Ann Arbor, MI, June 2005, pp. 263-270.
4. F. Casacuberta and E. Vidal, “Machine Translation with Inferred Stochastic Finite-State Transducers,” Computational Linguistics, vol. 30, no. 2, pp. 205-225, 2004.
5. J. M. Vilar, “Improve the learning of subsequential transducers by using alignments and dictionaries,” in Grammatical Inference: Algorithms and Applications, ser. Lecture Notes in Artificial Intelligence, A. de Oliveira, Ed., vol. 1891. Lisbon, Portugal: Springer-Verlag, Sept. 2000, pp. 298-311.
6. F. J. Och and H. Ney, “A systematic comparison of various statistical alignment models,” Computational Linguistics, vol. 29, no. 1, pp. 19-51, March 2003.
7. D. Vilar, E. Matusov, S. Hasan, R. Zens, and H. Ney, “Statistical Machine Translation of European Parliamentary Speeches,” in Proceedings of MT Summit X. Phuket, Thailand: Asia-Pacific Association for Machine Translation (AAMT), September 2005, pp. 259-266.
8. S. Kanthak, D. Vilar, E. Matusov, R. Zens, and H. Ney, “Novel reordering approaches in phrase-based statistical machine translation,” in 43rd Annual Meeting of the Assoc. for Computational Linguistics: Proc. Workshop on Building and Using Parallel Texts: Data-Driven Machine Translation and Beyond, Ann Arbor, Michigan, June 2005, pp. 167-174.
9. A. Fraser and D. Marcu, “Measuring word alignment quality for statistical machine translation,” ISI-University of Southern California, Tech. Rep., May 2006.
10. F. J. Och and H. Ney, “Discriminative training and maximum entropy models for statistical machine translation,” in Proc. of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), Philadelphia, PA, July 2002, pp. 295-302.
11. J. Mariño, R. Banchs, P. Lambert, M. Ruiz, J. Crego, and J. Fonollosa, “Bilingual N-gram Statistical Machine Translation,” in Proceedings of MT Summit X. Phuket, Thailand: Asia-Pacific Association for Machine Translation (AAMT), September 2005, pp. 275-282.
12. E. Matusov, R. Zens, and H. Ney, “Symmetric word alignments for statistical machine translation,” in COL-ING'04: The 20th Int. Conf. on Computational Linguistics, Geneva, Switzerland, August 2004, pp. 219-225.
13. P. Koehn and C. Monz, “Shared task: Statistical machine translation between european languages,” in Proceedings of the ACL 2005 Workshop on Parallel Text, Ann Arbor, MI, USA, June 2005, pp. 119-124.
14. N. F. Ayan and B. J. Dorr, “Going Beyond AER: An Extensive Analysis of Word Alignments and Their Impact on MT,” in Proceedings of the Joint Conference of the International Committee on Computational Linguistics and the Association for Computational Linguistics (COLING-ACL'2006), Sydney, Australia, July 2006, pp. 9-16.
15. A. Venugopal, S. Vogel, and A. Waibel, “Effective phrase translation extraction from alignment models,” in ACL'03: Proceedings of the 41st Annual Meeting on Association for Computational Linguistics. Morristown, NJ, USA: Association for Computational Linguistics, 2003, pp. 319-326.
16. D. Marcu and W. Wong, “A phrase-based, joint probability model for statistical machine translation,” in Proc. of the Conf. on Empirical Methods for Natural Language Processing (EMNLP), Philadelphia, PA, July 2002, pp. 133-139.