Learning probabilistic synchronous CFGs for phrase-based translation

CoNLL 2010 - Fourteenth Conference on Computational Natural Language Learning, Proceedings of the Conference

Volumn , Issue , 2010, Pages 117-125

  Mylonakis, Markos ^a   Sima'an, Khalil ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

LATENT MODELS; LEARNING METHODS; LEXICAL CONTENT; LEXICAL CONTEXTS; OVERFITTING; PARALLEL CORPORA; STATISTICAL MACHINE TRANSLATION; SYNCHRONOUS GRAMMARS;

EID: 80053437415     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. P. Blunsom, T. Cohn, and M. Osborne. 2008. A discriminative latent variable model for statistical machine translation. In Proceedings of ACL-08: HLT, pages 200-208. Association for Computational Linguistics.
2. Phil Blunsom, Trevor Cohn, and Miles Osborne. 2008. Bayesian synchronous grammar induction. In Advances in Neural Information Processing Systems 21, Vancouver, Canada, December.
3. Phil Blunsom, Trevor Cohn, Chris Dyer, and Miles Osborne. 2009. A gibbs sampler for phrasal synchronous grammar induction. In Proceedings of the 47th Annual Meeting of the Association of Computational Linguistics, Singapore, August. Association for Computational Linguistics.
4. R. Bod, R. Scha, and K. Sima'an, editors. 2003. Data Oriented Parsing. CSLI Publications, Stanford University, Stanford, California, USA.
5. S. Chen and J. Goodman. 1998. An empirical study of smoothing techniques for language modeling. Technical Report TR-10-98, Harvard University, August.
6. D. Chiang. 2005. A hierarchical phrase-based model for statistical machine translation. In Proceedings of ACL 2005, pages 263-270.
7. David Chiang. 2007. Hierarchical phrase-based translation. Computational Linguistics, 33.
8. J. DeNero, D. Gillick, J. Zhang, and D. Klein. 2006. Why generative phrase models underperform surface heuristics. In Proceedings on the Workshop on Statistical Machine Translation, pages 31-38, New York City. Association for Computational Linguistics.
9. John DeNero, Alexandre Bouchard-Côté, and Dan Klein. 2008. Sampling alignment structure under a Bayesian translation model. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, pages 314-323, Honolulu, Hawaii, October. Association for Computational Linguistics.
10. T. Hastie, R. Tibshirani, and J. H. Friedman. 2001. The Elements of Statistical Learning. Springer.
11. Tom Heskes. 1998. Bias/variance decompositions for likelihood-based estimators. Neural Computation, 10:1425-1433.
12. P. Koehn, F. J. Och, and D. Marcu. 2003. Statistical phrase-based translation. In HLT-NAACL 2003.
13. P. Koehn. 2005. Europarl: A Parallel Corpus for Statistical Machine Translation. In MT Summit 2005.
14. Zhifei Li, Chris Callison-Burch, Chris Dyer, Sanjeev Khudanpur, Lane Schwartz, Wren Thornton, Jonathan Weese, and Omar Zaidan. 2009. Joshua: An open source toolkit for parsing-based machine translation. In Proceedings of the Fourth Workshop on Statistical Machine Translation, pages 135-139, Athens, Greece, March. Association for Computational Linguistics.
15. David J. C. Mackay and Linda C. Bauman Petoy. 1995. A hierarchical dirichlet language model. Natural Language Engineering, 1:1-19.
16. D. Marcu and W. Wong. 2002. A phrase-based, joint probability model for statistical machine translation. In Proceedings of Empirical methods in natural language processing, pages 133-139. Association for Computational Linguistics.
17. Markos Mylonakis and Khalil Sima'an. 2008. Phrase translation probabilities with itg priors and smoothing as learning objective. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, pages 630-639, Honolulu, USA, October.
18. F. J. Och and H. Ney. 2003. A systematic comparison of various statistical alignment models. Computational Linguistics, 29(1):19-51.
19. F. J. Och and H. Ney. 2004. The alignment template approach to statistical machine translation. Computational Linguistics, 30(4):417-449.
20. Franz Josef Och. 2003. Minimum error rate training in statistical machine translation. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, pages 160-167, Sapporo, Japan, July. Association for Computational Linguistics.
21. D. Wu. 1997. Stochastic inversion transduction grammars and bilingual parsing of parallel corpora. Computational Linguistics, 23(3):377-403.
22. H. Zhang, Ch. Quirk, R. C. Moore, and D. Gildea. 2008. Bayesian learning of non-compositional phrases with synchronous parsing. In Proceedings of ACL-08: HLT, pages 97-105, Columbus, Ohio, June. Association for Computational Linguistics.
23. A. Zollmann and K. Sima'an. 2006. An efficient and consistent estimator for data-oriented parsing. Journal of Automata, Languages and Combinatorics (JALC), 10 (2005) Number 2/3:367-388.
24. Andreas Zollmann and Ashish Venugopal. 2006. Syntax augmented machine translation via chart parsing. In Proceedings on the Workshop on Statistical Machine Translation, pages 138-141, New York City, June. Association for Computational Linguistics.