Discriminative reranking for machine translation

HLT-NAACL 2004 - Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference

Volumn , Issue , 2004, Pages 177-184

  Shen, Libin ^a   Sarkar, Anoop ^b   Och, Franz Josef ^c  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b SIMON FRASER UNIVERSITY   (Canada)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; QUALITY CONTROL;

BASELINE SYSTEMS; DATA TRACKS; DISCRIMINATIVE RERANKING; LARGE DATA; MACHINE TRANSLATIONS; RE-RANKING; RE-RANKING TECHNIQUES; SOURCE LANGUAGE; STATISTICAL MACHINE TRANSLATION SYSTEM; TARGET LANGUAGE;

COMPUTER AIDED LANGUAGE TRANSLATION;

EID: 85024106824     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. P. F. Brown, J. Cocke, S. A. Della Pietra, V. J. Della Pietra, F. Jelinek, J. D. Lafferty, R. L. Mercer, and P. S. Roossin. 1990. A statistical approach to machine translation. Computational Linguistics, 16(2):79–85.
2. M. Collins and N. Duffy. 2002. New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron. In Proceedings of ACL 2002.
3. M. Collins. 2000. Discriminative reranking for natural language parsing. In Proceedings of the 7th ICML.
4. K. Crammer and Y. Singer. 2001. PRanking with Ranking. In NIPS 2001.
5. D. Gildea. 2003. Loosely tree-based alignment for machine translation. In ACL 2003.
6. E. F. Harrington. 2003. Online Ranking/Collaborative Filtering Using the Perceptron Algorithm. In ICML.
7. R. Herbrich, T. Graepel, and K. Obermayer. 2000. Large margin rank boundaries for ordinal regression. In A.J. Smola, P. Bartlett, B. Schölkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers, pages 115–132. MIT Press.
8. W. Krauth and M. Mezard. 1987. Learning algorithms with optimal stability in neural networks. Journal of Physics A, 20:745–752.
9. Y. Li, H. Zaragoza, R. Herbrich, J. Shawe-Taylor, and J. Kandola. 2002. The perceptron algorithm with uneven margins. In Proceedings of ICML 2002.
10. F. J. Och and H. Ney. 2002. Discriminative training and maximum entropy models for statistical machine translation. In ACL 2002.
11. F. J. Och and H. Weber. 1998. Improving statistical natural language translation with categories and rules. In COLING-ACL 1998.
12. F. J. Och, C. Tillmann, and H. Ney. 1999. Improved alignment models for statistical machine. In EMNLP-WVLC 1999.
13. F. J. Och. 2003. Minimum error rate training for statistical machine translation. In ACL 2003.
14. K. Papineni, S. Roukos, and T. Ward. 2001. Bleu: a method for automatic evaluation of machine translation. IBM Research Report, RC22176.
15. R. E. Schapire, Y. Freund, P. Bartlett, and W. S. Lee. 1997. Boosting the margin: a new explanation for the effectiveness of voting methods. In Proc. 14th ICML.
16. L. Shen and A. K. Joshi. 2003. An SVM based voting algorithm with application to parse reranking. In Proc. of CoNLL 2003.
17. L. Shen and A. K. Joshi. 2004. Flexible margin selection for reranking with full pairwise samples. In Proc. of 1st IJCNLP.
18. SMT Team. 2003. Final report: Syntax for statistical machine translation. JHU Summer Workshop 2003, http://www.clsp.jhu.edu/ws2003/groups/translate.
19. V. N. Vapnik. 1998. Statistical Learning Theory. John Wiley and Sons, Inc.
20. Y. Wang and A. Waibel. 1998. Modeling with structures in statistical machine translation. In COLING-ACL 1998.
21. D. Wu. 1997. Stochastic inversion transduction grammars and bilingual parsing of parallel corpora. Computational Linguistics, 23(3):377–400.
22. K. Yamada and K. Knight. 2001. A syntax-based statistical translation model. In ACL 2001.
23. T. Zhang. 2000. Large Margin Winnow Methods for Text Categorization. In KDD-2000 Workshop on Text Mining.