Experiments in medical translation shared task at WMT 2014

Proceedings of the Annual Meeting of the Association for Computational Linguistics

Volumn , Issue , 2014, Pages 260-265

  Zhang, Jian ^a   Wu, Xiaofeng ^a   Calixto, Iacer ^a   Vahid, Ali Hosseinzadeh ^a   Zhang, Xiaojun ^a   Way, Andy ^a   Liu, Qun ^a  

^a DUBLIN CITY UNIVERSITY   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

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

DATA SET; DUBLIN CITY UNIVERSITY; MODELING OPERATION; OPERATION SEQUENCES; REORDERING MODELS; SEQUENCE MODELS; SYSTEM FRAMEWORK; TEST DATA; TRANSLATION MODELS; TRANSLATION SYSTEMS;

STATISTICAL TESTS;

EID: 85044411941     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Alexandru Ceaus?u, John Tinsley, Jian Zhang and Andy Way. 2011. Experiments on domain adaptation for patent machine translation in the PLuTO project, The 15th conference of the European Association for Machine Translation, Leuven, Belgium.
2. Arianna Bisazza, Nick Ruiz, and Marcello Federico. 2011. Fill-up versus Interpolation Methods for Phrase-based SMT Adaptation., In International Workshop on Spoken Language Translation (IWSLT), San Francisco, CA.
3. Durrani, N., Schmid, H., and Fraser, A. 2011. A Joint Sequence Translation Model with Integrated Reordering., The 49th Annual Meeting of the Association for Computational Linguistics, Portland, Oregon, USA.
4. Durrani, N., Fraser, A., Schmid, H., Hoang, H., and Koehn, P. 2013b. Can Markov Models Over Minimal Translation Units Help Phrase-Based SMT, The 51th Annual Meeting of the Association for Computational Linguistics, Sofia, Bulgaria.
5. Ergun Bicici and Deniz Yuret. 2014. Optimizing Instance Selection for Statistical Machine Translation with Feature Decay Algorithms, IEEE/ACM Transactions On Audio, Speech, and Language Processing (TASLP).
6. Franz J. Och and Hermann Ney. 2003. A systematic comparison of various statistical alignment models, Computational Linguistics, 29(1):1951.
7. Franz Josef Och. 2003. Minimum error rate training in statistical machine translation, The 41th Annual Meeting of the Association for Computational Linguistics, Sapporo, Japan.
8. Marcello Federico, Nicola Bertoldi, and Mauro Cettolo. 2008. IRSTLM: An open source toolkit for handling large scale language models, Interspeech, Brisbane, Australia.
9. Michel Galley and Christopher D. Manning. 2008. A simple and effective hierarchical phrase reordering model. , The 2008 Conference on Empirical Methods in Natural Language Processing, pages 848856, Honolulu, Hawaii, October. Association for Computational Linguistics.
10. Qin Gao and Stephan Vogel. 2008. Parallel implementations of word alignment tool, In Software Engineering, Testing, and Quality Assurance for Natural Language Processing, SETQA-NLP 2008, pages 49-57, Stroudsburg, PA, USA. Association for Computational Linguistics.
11. Philipp Koehn, Amittai Axelrod, Alexandra Birch Mayne, Chris Callison-Burch, Miles Osborne and David Talbot. 2005. Edinburgh System Description for the 2005 IWSLT Speech Translation Evaluation, InternationalWorkshop on Spoken Language Translation.
12. Philipp Koehn and Josh Schroeder. 2007. Experiments in Domain Adaptation for Statistical Machine Translation, The Second Workshop on Statistical Machine Translation, pages 224227, Prague.
13. Philipp Koehn, Amittai Axelrod, Alexandra Birch Mayne, Chris Callison-Burch, Miles Osborne and David Talbot. 2003. Statistical phrase-based translation, 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology, pages 4854, Edmonton, Canada.
14. Philipp Koehn, and Barry Haddow. 2012. Interpolated backoff for factored translation models., The 10th Conference of the Association for Machine Translation in the Americas (AMTA).
15. Reinhard Kneser and Hermann Ney 1995. Improved backing-off for m-gram language modeling., IEEE International Conference on Acoustics, Speech and Signal Processing, pages 181184.