Simple and effective parameter tuning for domain adaptation of statistical machine translation

24th International Conference on Computational Linguistics - Proceedings of COLING 2012: Technical Papers

Volumn , Issue , 2012, Pages 2209-2224

  Pecina, Pavel ^a   Toral, Antonio ^b   Van Genabith, Josef ^b  

^a CHARLES UNIVERSITY   (Czech Republic)

^b DUBLIN CITY UNIVERSITY   (Ireland)

Author keywords

Domain adaptation; Machine translation; Parameter optimization

Indexed keywords

DOMAIN ADAPTATION; EFFECTIVE PARAMETERS; FEATURE FUNCTION; MACHINE TRANSLATIONS; MODEL PARAMETERS; PARAMETER OPTIMIZATION; STATISTICAL MACHINE TRANSLATION; STATISTICAL MACHINE TRANSLATION SYSTEM;

COMPUTATIONAL LINGUISTICS; REGRESSION ANALYSIS;

OPTIMIZATION;

EID: 84876791921     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. Banerjee, P., Du, J., Li, B., Naskar, S., Way, A., and van Genabith, J. (2010). Combining Multi-Domain Statistical Machine Translation Models using Automatic Classifiers. In 9th Conference of the Association for MT in Americas, pages 141-150, Denver, Colorado, USA.
2. Bertoldi, N., Haddow, B., and Fouet, J.-B. (2009). Improved minimum error rate training in moses. Prague Bulletin of Mathematical Linguistics, No. 91:7-16.
3. Callison-Burch, C., Osborne, M., and Koehn, P. (2006). Re-evaluating the role of bleu in machine translation research. In 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 249-256, Trento, Italy.
4. Daumé III, H. and Jagarlamudi, J. (2011). Domain adaptation for machine translation by mining unseen words. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics and Human Language Technologies, Short Papers, pages 407-412, Portland, Oregon, USA.
5. Eck, M., Vogel, S., and Waibel, A. (2004). Language Model Adaptation for Statistical Machine Translation based on Information Retrieval. In Proceedings of the International Conference on Language Resources and Evaluation, Lisbon, Portugal.
6. Finch, A. and Sumita, E. (2008). Dynamic model interpolation for statistical machine translation. In Proceedings of the Third Workshop on Statistical Machine Translation, pages 208-215, Columbus, Ohio, USA.
7. Foster, G., Goutte, C., and Kuhn, R. (2010). Discriminative instance weighting for domain adaptation in statistical machine translation. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pages 451-459, Cambridge, MA.
8. He, Y., Ma, Y., Roturier, J., Way, A., and van Genabith, J. (2010). Improving the Post-Editing Experience Using Translation Recommendation: A User Study. In Proceedings of the Ninth Conference of the Association for Machine Translation in the Americas, pages 247-256, Denver, Colorado, USA.
9. Hildebrand, A. S., Eck, M., Vogel, S., and Waibel, A. (2005). Adaptation of the Translation Model for Statistical Machine Translation based on Information Retrieval. In Proceedings of the 10th Annual Conference of the European Association for Machine Translation, pages 133-142, Budapest, Hungary.
10. Hopkins, M. and May, J. (2011). Tuning as ranking. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pages 1352-1362, Edinburgh, United Kingdom.
11. Koehn, P. (2004). Statistical significance tests for machine translation evaluation. In Lin, D. and Wu, D., editors, Proceedings of EMNLP 2004, pages 388-395, Barcelona, Spain.
12. Koehn, P. (2005). Europarl: A Parallel Corpus for Statistical Machine Translation. In Conference Proceedings of the Tenth Machine Translation Summit, pages 79-86, Phuket, Thailand.
13. Koehn, P., Hoang, H., Birch, A., Callison-Burch, C., Federico, M., Bertoldi, N., Cowan, B., Shen, W., Moran, C., Zens, R., Dyer, C., Bojar, O., Constantin, A., and Herbst, E. (2007). Moses: open source toolkit for statistical machine translation. In Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions, pages 177-180, Prague, Czech Republic.
14. Koehn, P., Och, F. J., and Marcu, D. (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, pages 48-54, Edmonton, Canada.
15. Koehn, P. and Schroeder, J. (2007). Experiments in domain adaptation for statistical machine translation. In Proceedings of the Second Workshop on Statistical Machine Translation, pages 224-227, Prague, Czech Republic.
16. Langlais, P. (2002). Improving a general-purpose Statistical Translation Engine by terminological lexicons. In COLING-02 on COMPUTERM 2002: second international workshop on computational terminology - Volume 14, pages 1-7, Taipei, Taiwan.
17. Munteanu, D. S. and Marcu, D. (2005). Improving Machine Translation Performance by Exploiting Non-Parallel Corpora. Computational Linguistics, 31:477-504.
18. Nakov, P. (2008). Improving English-Spanish statistical machine translation: experiments in domain adaptation, sentence paraphrasing, tokenization, and recasing. In Proceedings of the Third Workshop on Statistical Machine Translation, pages 147-150, Columbus, Ohio, USA.
19. Och, F. J. (2003). Minimum error rate training in statistical machine translation. In Proceedings of the 41st Annual Meeting on Association for Computational Linguistics, pages 160-167, Sapporo, Japan.
20. Papineni, K., Roukos, S., Ward, T., and Zhu, W.-J. (2002). BLEU: A method for automatic evaluation of machine translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pages 311-318, Philadelphia, USA.
21. Pecina, P., Toral, A., Papavassiliou, V., Prokopidis, P., and van Genabith, J. (2012). Domain adaptation of statistical machine translation using web-crawled resources: A case study. In Cettolo, M., Federico, M., Specia, L., and Way, A., editors, EAMT 2012: Proceedings of the 16th Annual Conference of the European Association for Machine Translation, pages 145-152, Trento, Italy.
22. Pecina, P., Toral, A., Way, A., Papavassiliou, V., Prokopidis, P., and Giagkou, M. (2011). Towards Using Web-Crawled Data for Domain Adaptation in Statistical Machine Translation. In Proceedings of the 15th Annual Conference of the European Associtation for Machine Translation, pages 297-304, Leuven, Belgium.
23. Specia, L., Hajlaoui, N., Hallett, C., and Aziz, W. (2011). Predicting machine translation adequacy. In Proceedings of the Machine Translation Summit XIII, Xiamen, China.
24. Stolcke, A. (2002). SRILM-an extensible language modeling toolkit. In Proceedings of International Conference on Spoken Language Processing, pages 257-286, Denver, Colorado, USA.
25. Tiedemann, J. (2009). News from OPUS - A Collection of Multilingual Parallel Corpora with Tools and Interfaces. In Nicolov, N., Angelova, G., and Mitkov, R., editors, Recent Advances in Natural Language Processing V, volume 309 of Current Issues in Linguistic Theory, pages 227-248. John Benjamins, Amsterdam & Philadelphia.
26. Wu, H., Wang, H., and Zong, C. (2008). Domain adaptation for statistical machine translation with domain dictionary and monolingual corpora. In Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1, pages 993-1000.