M. Bacchiani and B. Roark, Unsupervised language model adaptation, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003.
DOI : 10.1109/ICASSP.2003.1198758
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.330.4450

I. Bulyko, S. Matsoukas, R. Schwartz, L. Nguyen, and J. Makhoul, Language Model Adaptation in Machine Translation from Speech, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, 2007.
DOI : 10.1109/ICASSP.2007.367177

C. Cherry and G. Foster, Batch tuning strategies for statistical machine translation, Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp.427-436, 2012.

D. Chiang, K. Knight, W. , and W. , 11,001 new features for statistical machine translation, Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics on, NAACL '09, pp.218-226, 2009.
DOI : 10.3115/1620754.1620786

D. Chiang, Y. Marton, R. , and P. , Online large-margin training of syntactic and structural translation features, Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '08, pp.224-233, 2008.
DOI : 10.3115/1613715.1613747

J. H. Clark, C. Dyer, A. Lavie, and N. A. Smith, Better hypothesis testing for statistical machine translation: Controlling for optimizer instability, Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp.176-181, 2011.

B. R. Cobb and P. P. Shenoy, A Comparison of Methods for Transforming Belief Function Models to Probability Models, International Journal of Approximate Reasoning, vol.41, issue.3, pp.255-266, 2006.
DOI : 10.1007/978-3-540-45062-7_21

J. Denero, D. Gillick, J. Zhang, and D. Klein, Why generative phrase models underperform surface heuristics, Proceedings of the Workshop on Statistical Machine Translation, StatMT '06, pp.31-38, 2006.
DOI : 10.3115/1654650.1654656

Z. Elouedi, K. Mellouli, and P. Smets, Classification with Belief Decision Trees, Proceedings of the 9th International Conference on Artificial Intelligence, 2000.
DOI : 10.1007/3-540-45331-8_8
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.36.9649

G. Foster, R. Kuhn, J. , and H. , Phrasetable smoothing for statistical machine translation, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, EMNLP '06, pp.53-61, 2006.
DOI : 10.3115/1610075.1610084
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.5090

P. Koehn, Statistical Machine Translation, 2010.
DOI : 10.1017/CBO9780511815829
URL : https://hal.archives-ouvertes.fr/hal-01433972

P. Koehn, H. Hoang, A. Birch, C. Callison-burch, M. Federico et al., Moses, Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions, ACL '07, pp.177-180, 2007.
DOI : 10.3115/1557769.1557821

R. Kuhn, B. Chen, G. Foster, and E. Stratford, Phrase clustering for smoothing tm probabilities: or, how to extract paraphrases from phrase tables, Proceedings of the 23rd International Conference on Computational Linguistics, COLING '10, pp.608-616, 2010.

R. C. Moore and C. Quirk, An iteratively-trained segmentation-free phrase translation model for statistical machine translation, Proceedings of the Second Workshop on Statistical Machine Translation, StatMT '07, pp.112-119, 2007.
DOI : 10.3115/1626355.1626370

F. J. Och, Minimum error rate training in statistical machine translation, Proceedings of the 41st Annual Meeting on Association for Computational Linguistics , ACL '03, pp.160-167, 2003.
DOI : 10.3115/1075096.1075117

K. Papineni, S. Roukos, T. Ward, and W. Zhu, BLEU, Proceedings of the 40th Annual Meeting on Association for Computational Linguistics , ACL '02, pp.311-318, 2002.
DOI : 10.3115/1073083.1073135

S. Petitrenaud, V. Jousse, S. Meignier, and Y. Estève, Automatic named identification of speakers using belief functions, Information Processing and Management of Uncertainty (IPMU'10), 2010.
URL : https://hal.archives-ouvertes.fr/hal-01433886

H. Schwenk, D. Déchelotte, and J. Gauvain, Continuous-Space Language Models for Statistical Machine Translation, Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, pp.723-730, 2006.
DOI : 10.2478/v10108-010-0014-6
URL : https://hal.archives-ouvertes.fr/hal-01433882

G. Shafer, A Mathematical Theory of Evidence, 1976.

K. Sima-'an and M. Mylonakis, Better statistical estimation can benefit all phrases in phrase-based statistical machine translation, Proceedings of the IEEE Workshop on Spoken Language Technology (SLT) 2008, pp.237-240, 2008.

P. Smets, Belief functions versus probability functions, Uncertainty and Intelligent Systems, pp.17-24, 1988.
DOI : 10.1007/3-540-19402-9_51

P. Smets and R. Kennes, The transferable belief model, Artificial Intelligence, vol.66, issue.2, pp.191-234, 1994.
DOI : 10.1016/0004-3702(94)90026-4
URL : https://hal.archives-ouvertes.fr/hal-01185821

M. Snover, B. Dorr, R. Schwartz, L. Micciulla, and J. Makhoul, A study of translation edit rate with targeted human annotation, Proceedings of the 7 th Conference of the Association for Machine Translation in the Americas, 2006.