DFKI's SMT System for WMT 2012

WMT 2012 - 7th Workshop on Statistical Machine Translation, Proceedings of the Workshop

Volumn , Issue , 2012, Pages 382-387

  Vilar, David ^a  

^a GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

HIERARCHICAL PHRASE; MACHINE TRANSLATIONS; SELECTION METHODS; SENTENCE SELECTION; SMT SYSTEMS; TRANSLATION MODELS;

MACHINE TRANSLATION;

EID: 85055439198     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Chris Callison-Burch, Miles Osborne, and Philipp Koehn. 2006. Re-evaluating the Role of Bleu in Machine Translation Research. In Proc. of the 11th Conference of the European Chapter of the Association for Computational Linguistics, pages 249-256, Trento, Italy, April.
2. Daniel Cer, Christopher D. Manning, and Daniel Jurafsky. 2010. The best lexical metric for phrase-based statistical mt system optimization. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, HLT '10, pages 555-563, Los Angeles, CA, USA.
3. Nicola Ehling, Richard Zens, and Hermann Ney. 2007. Minimum Bayes risk decoding for BLEU. In Annual Meeting of the Assoc. for Computational Linguistics, pages 101-104, Prague, Czech Republic, June.
4. Sǎsa Hasan, Richard Zens, and Hermann Ney. 2007. Are very large N-best lists useful for SMT? In Human Language Technology Conf./North American Chapter of the Assoc. for Computational Linguistics Annual Meeting, pages 57-60, Rochester, NY, April. Association for Computational Linguistics.
5. A.S. Hildebrand and S. Vogel. 2008. Combination of machine translation systems via hypothesis selection from combined n-best lists. In MT at work: Proc. of the Eighth Conference of the Association for Machine Translation in the Americas, pages 254-261.
6. Matthias Huck, David Vilar, Daniel Stein, and Hermann Ney. 2011. Lightly-Supervised Training for Hierarchical Phrase-Based Machine Translation. In The EMNLP 2011 Workshop on Unsupervised Learning in NLP, Edinburgh, UK, July.
7. Chin-Yew Lin and Franz Josef Och. 2004. ORANGE: a Method for Evaluating Automatic Evaluation Metrics for Machine Translation. In Proc. of the 20th international conference on Computational Linguistics, COLING '04, Geneva, Switzerland.
8. Evgeny Matusov, Gregor Leusch, Rafael E. Banchs, Nicola Bertoldi, Daniel Dechelotte, Marcello Federico, Muntsin Kolss, Young-Suk Lee, Jose B. Marino, Matthias Paulik, Salim Roukos, Holger Schwenk, and Hermann Ney. 2008. System combination for machine translation of spoken and written language. IEEE Transactions on Audio, Speech and Language Processing, 16(7):1222-1237, September.
9. R.C. Moore and W. Lewis. 2010. Intelligent selection of language model training data. In Proceedings of the ACL 2010 Conference Short Papers, pages 220-224. Association for Computational Linguistics.
10. Franz Josef Och and Hermann Ney. 2003. A Systematic Comparison of Various Statistical Alignment Models. Computational Linguistics, 29(1):19-51, March.
11. Kishore Papineni, Salim Roukos, Todd Ward, and Wei- Jing Zhu. 2002. Bleu: a Method for Automatic Evaluation of Machine Translation. In Proc. of the 41st Annual Meeting of the Association for Computational Linguistics, pages 311-318, Philadelphia, Pennsylvania, USA, July.
12. Maja Popovíc and Hermann Ney. 2006. POS-based word reorderings for statistical machine translation. In International Conference on Language Resources and Evaluation, pages 1278-1283, Genoa, Italy, May.
13. Maja Popovíc and Hermann Ney. 2011. Towards Automatic Error Analysis of Machine Translation Output. Computational Linguistics, 37(4):657-688, December.
14. Maja Popovic, David Vilar, Eleftherios Avramidis, and Aljoscha Burchardt. 2011. Evaluation without references: Ibm1 scores as evaluation metrics. In Proc. of the Sixth Workshop on Statistical Machine Translation, pages 99-103. Association for Computational Linguistics, July.
15. Maja Popovíc. 2011. Hjerson: An Open Source Tool for Automatic Error Classification of Machine Translation Output. The Prague Bulletin of Mathematical Linguistics, pages 59-68.
16. Ashish Venugopal, Andreas Zollmann, Noah A. Smith, and Stephan Vogel. 2009. Preference Grammars: Softening Syntactic Constraints to Improve Statistical Machine Translation. In Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 236-244, Boulder, Colorado, USA, June.
17. David Vilar, Jia Xu, Luis Fernando D'Haro, and Hermann Ney. 2006. Error Analysis of Machine Translation Output. In International Conference on Language Resources and Evaluation, pages 697-702, Genoa, Italy, May.
18. David Vilar, Daniel Stein, Matthias Huck, and Hermann Ney. 2010a. Jane: Open Source Hierarchical Translation, Extended with Reordering and Lexicon Models.In Proc. of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, pages 262-270, Uppsala, Sweden, July.
19. David Vilar, Daniel Stein, Stephan Peitz, and Hermann Ney. 2010b. If I Only Had a Parser: Poor Man's Syntax for Hierarchical Machine Translation. In International Workshop on Spoken Language Translation, pages 345-352, Paris, France, December.
20. David Vilar, Eleftherios Avramidis, Maja Popovíc, and Sabine Hunsicker. 2011. Dfki's sc and mt submissions to iwslt 2011. In InternationalWorkshop on Spoken Language Translation, San Francisco, CA, USA, December.
21. R. Zens and H. Ney. 2006. N-gram Posterior Probabilities for Statistical Machine Translation. In Human Language Technology Conf./North American Chapter of the Assoc. for Computational Linguistics Annual Meeting (HLT-NAACL), Workshop on Statistical Machine Translation, pages 72-77, New York City, June.