Machine translation with binary feedback: A large-margin approach

AMTA 2012 - Proceedings of the 10th Conference of the Association for Machine Translation in the Americas

Volumn , Issue , 2012, Pages

  Saluja, Avneesh ^a   Lane, Ian ^a   Zhang, Ying ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BINS; COMPUTATIONAL LINGUISTICS; ONLINE SYSTEMS;

ARBITRARY LANGUAGES; BINARY FEEDBACK; DISCRIMINATIVE TRAINING; MACHINE TRANSLATION SYSTEMS; MACHINE TRANSLATIONS; ONLINE TRAINING; STRUCTURED PREDICTION; STRUCTURED PROBLEMS;

COMPUTER AIDED LANGUAGE TRANSLATION;

EID: 84911950489     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. Phil Blunsom, Trevor Cohn, and Miles Osborne. 2008. A Discriminative Latent Variable Model for Statistical Machine Translation. In Proceedings of the 46th Annual Meeting of the ACL-HLT, pages 200-208, June.
2. Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, and Dan Roth. 2010. Structured output learning with indirect supervision. In Proceedings of the 27th Annual International Conference on Machine Learning, ICML '10.
3. Colin Cherry and George Foster. 2012. Batch tuning strategies for statistical machine translation. In HLTNAACL, pages 427-436.
4. David Chiang, Yuval Marton, and Philip Resnik. 2008. Online large-margin training of syntactic and structural translation features. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '08, pages 224-233, Stroudsburg, PA, USA.
5. Michael Collins. 2002. Discriminative training methods for hidden markov models: theory and experiments with perceptron algorithms. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10, EMNLP '02, pages 1-8.
6. Koby Crammer and Yoram Singer. 2003. Ultraconservative online algorithms for multiclass problems. J. Mach. Learn. Res., 3:951-991, March.
7. Chris Dyer, Adam Lopez, Juri Ganitkevitch, Johnathan Weese, Ferhan Ture, Phil Blunsom, Hendra Setiawan, Vladimir Eidelman, and Philip Resnik. 2010. cdec: A decoder, alignment, and learning framework for finitestate and context-free translation models. In Proceedings of ACL.
8. Kevin Gimpel and Noah A. Smith. 2012. Structured ramp loss minimization for machine translation. In HLT-NAACL, pages 221-231.
9. Keith Hall, Ryan T. McDonald, Jason Katz-Brown, and Michael Ringgaard. 2011. Training dependency parsers by jointly optimizing multiple objectives. In EMNLP, pages 1489-1499.
10. Kenneth Heafield. 2011. KenLM: Faster and Smaller Language Model Queries. In Proceedings of the EMNLP 2011 Sixth Workshop on Statistical Machine Translation.
11. Philipp Koehn, Franz Josef Och, and Daniel Marcu. 2003. Statistical phrase-based translation. In Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1, NAACL '03, pages 48-54, Stroudsburg, PA, USA. Association for Computational Linguistics.
12. Percy Liang, Alexandre Bouchard-Côté, Dan Klein, and Ben Taskar. 2006. An end-to-end discriminative approach to machine translation. In Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics, ACL-44, pages 761-768, Stroudsburg, PA, USA. Association for Computational Linguistics.
13. Franz Josef Och and Hermann Ney. 2003. A systematic comparison of various statistical alignment models. Computational Linguistics, 29(1):19-51, March.
14. Franz Josef Och. 2003. Minimum error rate training in statistical machine translation. In Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1, ACL '03, pages 160- 167, Stroudsburg, PA, USA. Association for Computational Linguistics.
15. D. Ortiz-Martinez, I. Garcia-Varea, and Francisco Casacuberta. 2010. Online Learning for Interactive Statistical Machine Translation. HLT: NAACL 2010, pages 546-554, June.
16. Kishore Papineni, 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 on Association for Computational Linguistics, ACL '02, pages 311-318, Stroudsburg, PA, USA. Association for Computational Linguistics.
17. Michael Paul. 2009. Overview of the iwslt 2009 evaluation campaign. In Proceedings of IWSLT 2009.
18. Nathan D. Ratliff, J. Andrew Bagnell, and Martin A. Zinkevich. 2007. (online) subgradient methods for structured prediction. In Artificial Intelligence and Statistics 2010, AIStats '07.
19. Andreas Stolcke. 2002. SRILM - An Extensible Language Modeling Toolkit. In Proceedings of the International Conference in Spoken Language Processing.
20. Ben Taskar, Carlos Guestrin, and Daphne Koller. 2003. Max-margin markov networks. In NIPS 2003. MIT Press.
21. I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun. 2005. Large margin methods for structured and interdependent output variables. Journal of Machine Learning Research (JMLR), 6:1453-1484, September.
22. TaroWatanabe, Jun Suzuki, Hajime Tsukada, and Hideki Isozaki. 2007. Online large-margin training for statistical machine translation. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pages 764- 773, Prague, Czech Republic, June. Association for Computational Linguistics.
23. Chun-Nam John Yu and Thorsten Joachims. 2009. Learning structural svms with latent variables. In Proceedings of the 26th Annual International Conference on Machine Learning, ICML '09, pages 1169-1176, New York, NY, USA. ACM.