The CMU-ARK German-English Translation System

WMT 2011 - 6thWorkshop on Statistical Machine Translation, Proceedings of the Workshop

Volumn , Issue , 2011, Pages 337-343

  Dyer, Chris ^a   Gimpel, Kevin ^a   Clark, Jonathan H ^a   Smith, Noah A ^a  

^a Carnegie Mellon University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; TRANSLATION (LANGUAGES);

CARNEGIE MELLON UNIVERSITY; FEATURE ENGINEERINGS; HIERARCHICAL PHRASE; MACHINE TRANSLATIONS; ON-MACHINES; RESEARCH GROUPS; TRANSLATION SYSTEMS;

MODELING LANGUAGES;

EID: 84878205757     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (39)

1. A. Arun and P. Koehn. 2007. Online learning methods for discriminative training of phrase based statistical machine translation. In Proc. of MT Summit XI.
2. P. Blunsom, T. Cohn, and M. Osborne. 2008. A discriminative latent variable model for statistical machine translation. In Proc. of ACL-HLT.
3. P. F. Brown, P. V. de Souza, R. L. Mercer, V. J. Della Pietra, and J. C. Lai. 1992. Class-based n-gram models of natural language. Computational Linguistics, 18:467-479.
4. P. F. Brown, V. J. Della Pietra, S. A. Della Pietra, and R. L. Mercer. 1993. The mathematics of statistical machine translation: parameter estimation. Computational Linguistics, 19(2):263-311.
5. C. Callison-Burch, P. Koehn, C. Monz, and O. F. Zaidan. 2011. Findings of the 2011 workshop on statistical machine translation. In Proc. of the Sixth Workshop on Statistical Machine Translation.
6. S. F. Chen and J. Goodman. 1996. An empirical study of smoothing techniques for language modeling. In Proc. of ACL, pages 310-318.
7. D. Chiang, Y. Marton, and P. Resnik. 2008. Online large-margin training of syntactic and structural translation features. In Proc. EMNLP, pages 224-233.
8. D. Chiang. 2007. Hierarchical phrase-based translation. Computational Linguistics, 33(2):201-228.
9. D. Chiang. 2010. Learning to translate with source and target syntax. In Proc. of ACL, pages 1443-1452.
10. J. Devlin. 2009. Lexical features for statistical machine translation. Master's thesis, University of Maryland.
11. C. Dyer, A. Lopez, J. Ganitkevitch, J. Weese, F. Ture, P. Blunsom, H. Setiawan, V. Eidelman, and P. Resnik. 2010. cdec: A decoder, alignment, and learning framework for finite-state and context-free translation models. In Proc. of ACL (demonstration session).
12. C. Dyer. 2009. Using a maximum entropy model to build segmentation lattices for MT. In Proc. of NAACL.
13. G. Foster and R. Kuhn. 2009. Stabilizing minimum error rate training. Proc. of WMT.
14. M. Galley, J. Graehl, K. Knight, D. Marcu, S. DeNeefe, W. Wang, and I. Thayer. 2006. Scalable inference and training of context-rich syntactic translation models. In Proc. of ACL, pages 961-968.
15. K. Gimpel and N. A. Smith. 2009. Feature-rich translation by quasi-synchronous lattice parsing. In Proc. of EMNLP, pages 219-228.
16. K. Heafield. 2011. KenLM: Faster and smaller language model queries. In Proc. of the Sixth Workshop on Statistical Machine Translation.
17. M. Hopkins and J. May. 2011. Tuning as ranking. In Proc. of EMNLP.
18. D. Klein and C. D. Manning. 2002. A generative constituent-context model for improved grammar induction. In Proc. of ACL, pages 128-135.
19. P. Koehn, F. J. Och, and D. Marcu. 2003. Statistical phrase-based translation. In Proc. of NAACL.
20. S. Kumar and W. Byrne. 2004. Minimum Bayes-risk decoding for statistical machine translation. In Processings of HLT-NAACL.
21. S. Kumar, W. Macherey, C. Dyer, and F. Och. 2009. Efficient minimum error rate training and minimum bayesrisk decoding for translation hypergraphs and lattices. In Proc. of ACL-IJCNLP.
22. K. Lari and S. Young. 1990. The estimation of stochastic context-free grammars using the inside-outside algorithm. Computer Speech and Language.
23. Z. Li and J. Eisner. 2009. First- and second-order expectation semirings with applications to minimum-risk training on translation forests. In Proc. of EMNLP, pages 40-51.
24. P. Liang and D. Klein. 2009. Online EM for unsupervised models. In Proc. of NAACL.
25. P. Liang, A. Bouchard-Côté, D. Klein, and B. Taskar. 2006. An end-to-end discriminative approach to machine translation. In Proc. of ACL.
26. P. Liang. 2005. Semi-supervised learning for natural language. Master's thesis, Massachusetts Institute of Technology.
27. A. Lopez. 2008. Tera-scale translation models via pattern matching. In Proc. of COLING.
28. N. Madnani. 2010. The Circle of Meaning: From Translation to Paraphrasing and Back. Ph.D. thesis, Department of Computer Science, University of Maryland College Park.
29. Y. Marton and P. Resnik. 2008. Soft syntactic constraints for hierarchical phrased-based translation. In Proc. of ACL, pages 1003-1011, Columbus, Ohio.
30. F. J. Och and H. Ney. 2002. Discriminative training and maximum entropy models for statistical machine translation. In Proceedings of ACL, pages 295-302.
31. F. J. Och. 2003. Minimum error rate training in statistical machine translation. In Proc. of ACL, pages 160-167.
32. K. Papineni, S. Roukos, T. Ward, and W.-J. Zhu. 2002. BLEU: a method for automatic evaluation of machine translation. In Proc. of ACL.
33. R. Parker, D. Graff, J. Kong, K. Chen, and K. Maeda. 2009. English gigaword fourth edition.
34. A. Stolcke. 2002. SRILM - an extensible language modeling toolkit. In Intl. Conf. on Spoken Language Processing.
35. B. Taskar, D. Klein, M. Collins, D. Koller, and C. Manning. 2004. Max-margin parsing. In Proc. of EMNLP.
36. 1-regularized log-linear models with cumulative penalty. In Proc. of ACL-IJCNLP.
37. J. Turian, L. Ratinov, and Y. Bengio. 2010. Word representations: a simple and general method for semi-supervised learning. In Proc. of ACL, pages 384-394.
38. T. Watanabe, J. Suzuki, H. Tsukuda, and H. Isozaki. 2007. Online large-margin training for statistical machine translation. In Proc. of EMNLP.
39. I. H. Witten and T. C. Bell. 1991. The zero-frequency problem: Estimating the probabilities of novel events in adaptive text compression. IEEE Trans. Information Theory, 37(4).