Applying pairwise ranked optimisation to improve the interpolation of translation models

NAACL HLT 2013 - 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Main Conference

Volumn , Issue , 2013, Pages 342-347

  Haddow, Barry ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTER AIDED LANGUAGE TRANSLATION; MACHINE TRANSLATION;

DATA SET; INDIRECT MEASURE; LANGUAGE PAIRS; OPTIMISATIONS; PARALLEL TRAINING; PERFORMANCE; STATISTICAL MACHINE TRANSLATION; TRAINING DATA; TRANSLATION MODELS;

INTERPOLATION;

EID: 84925512743     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Pratyush Banerjee, Sudip K. Naskar, Johann Roturier, Andy Way, and Josef van Genabith. 2011. Domain Adaptation in Statistical Machine Translation of User-Forum Data using Component Level Mixture Modelling. In Proceedings of MT Summit.
2. Nicola Bertoldi and Marcello Federico. 2009. Domain Adaptation for Statistical Machine Translation from Monolingual Resources. In Proceedings of WMT.
3. R. H. Byrd, P. Lu, and J. Nocedal. 1995. A limited memory algorithm for bound constrained optimization. SIAM Journal on Scientific and Statistical Computing, 16(5):1190-1208.
4. Chris Callison-Burch, Cameron Fordyce, Philipp Koehn, Christof Monz, and Josh Schroeder. 2007. (meta-) evaluation of machine translation. In Proceedings of the Second Workshop on Statistical Machine Translation, pages 136-158, Prague, Czech Republic, June. Association for Computational Linguistics.
5. Chris Callison-Burch, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, and Lucia Specia. 2012. Findings of the 2012Workshop on Statistical Machine Translation. In Proceedings of the Seventh Workshop on Statistical Machine Translation, pages 10-51, Montŕeal, Canada, June. Association for Computational Linguistics.
6. Colin Cherry and George Foster. 2012. Batch Tuning Strategies for Statistical Machine Translation. In Proceedings of NAACL.
7. David Chiang, Yuval Marton, and Philip Resnik. 2008. Online Large-Margin Training of Syntactic and Structural Translation Features. In Proceedings of EMNLP.
8. Jonathan Clark, Chris Dyer, Alon Lavie, and Noah Smith. 2011. Better hypothesis testing for statistical machine translation: Controlling for optimizer instability. In Proceedings of ACL.
9. Marcello Federico, Nicola Bertoldi, and Mauro Cettolo. 2008. IRSTLM: An Open Source Toolkit for Handling Large Scale Language Models. In Proceedings of Interspeech, Brisbane, Australie.
10. George Foster and Roland Kuhn. 2007. Mixture-model adaptation for SMT. In Proceedings of the Second Workshop on Statistical Machine Translation, pages 128-135, Prague, Czech Republic, June. Association for Computational Linguistics.
11. George Foster, Cyril Goutte, and Roland Kuhn. 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, October. Association for Computational Linguistics.
12. Barry Haddow and Philipp Koehn. 2012. Analysing the Effect of Out-of-Domain Data on SMT Systems. In Proceedings of the Seventh Workshop on Statistical Machine Translation, pages 422-432, Montŕeal, Canada, June. Association for Computational Linguistics.
13. Edinburgh, Scotland, July. Association for Computational Linguistics
14. Kenneth Heafield. 2011. KenLM: Faster and Smaller Language Model Queries. In Proceedings of the Sixth Workshop on Statistical Machine Translation, pages 187-197, Edinburgh, Scotland, July. Association for Computational Linguistics. Mark Hopkins and Jonathan May. 2011. Tuning as Ranking. In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pages 1352-1362, Edinburgh, Scotland, UK., July. Association for Computational Linguistics.
15. Philipp Koehn and Josh Schroeder. 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, June. Association for Computational Linguistics.
16. Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, and Evan Herbst. 2007. Moses: Open Source Toolkit for Statistical Machine Translation. In Proceedings of the ACL Demo Sessions, pages 177-180, Prague, Czech Republic, June. Association for Computational Linguistics.
17. Franz J. Och. 2003. Minimum Error Rate Training in Statistical Machine Translation. In Proceedings of ACL.
18. Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002. Bleu: A Method for Automatic Evaluation of Machine Translation. In Proceedings of 40th Annual Meeting of the Association for Computational Linguistics, pages 311-318, Philadelphia, Pennsylvania, USA, July. Association for Computational Linguistics.
19. Rico Sennrich. 2012. Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation. In Proceedings of EACL.
20. Andreas Stolcke. 2002. SRILM-An Extensible Language Modeling Toolkit. In Proc. Intl. Conf. on Spoken Language Processing, vol. 2, pages 901-904.
21. Jörg Tiedemann. 2009. News from OPUS-A Collection of Multilingual Parallel Corpora with Tools and Interfaces. In N. Nicolov, K. Bontcheva, G. Angelova, and R. Mitkov, editors, Recent Advances in Natural Language Processing (vol V), pages 237-248. John Benjamins, Amsterdam/Philadelphia.
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.