A. Appendix, @. Publications, L. Shah, H. Barrault, and . Schwenk, Translation model adaptation by resampling, Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, WMT 10, p.392399, 2010.

L. @bullet-kashif-shah, H. Barrault, and . Schwenk, Parametric weighting of parallel data for statistical machine translation, Proceedings of 5th International Joint Conference on Natural Language Processing Asian Federation of Natural Language Processing, p.13231331, 2011.

P. @bullet-holger-schwenk, L. Lambert, C. Barrault, S. Servan, H. Abdul-rauf et al., Liums smt machine translation systems for wmt 2011, Proceedings of the Sixth Workshop on Statistical Machine Translation, p.464469, 2011.

. @bullet-kashif and . Shah, Adaptation in statistical Machine Translation, journe des doctorants de l'´ ecole doctorale STIM (JDOC'10)

L. @bullet-kashif-shah, H. Barrault, and . Schwenk, A General Framework to Weight Heterogeneous Parallel Data for Model Adaptation in Statistical Machine Translation

S. Abdul-rauf and H. Schwenk, On the use of comparable corpora to improve SMT performance, Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics, EACL '09, pp.16-23, 2009.
URL : https://hal.archives-ouvertes.fr/hal-01454950

J. Arnold, L. Balkan, S. Meijer, R. L. Humphreys, and L. Sadler, Machine Translation: an Introductory Guide, 1993.

A. Axelrod, X. He, and J. Gao, Domain adaptation via pseudo in-domain data selection, Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, pp.355-362, 2011.

F. Béchet, R. D. Mori, and D. Janiszek, Data augmentation and language model adaptation using singular value decomposition. Pattern Recogn, Lett, vol.25, issue.1, pp.15-19, 2004.

F. Vanden-berghen and H. Bersini, CONDOR, a new parallel, constrained extension of Powell's UOBYQA algorithm: Experimental results and comparison with the DFO algorithm, Journal of Computational and Applied Mathematics, vol.181, issue.1, pp.157-175, 2005.
DOI : 10.1016/j.cam.2004.11.029

N. Bertoldi and M. Federico, Domain adaptation for statistical machine translation with monolingual resources, Proceedings of the Fourth Workshop on Statistical Machine Translation, StatMT '09, pp.182-189, 2009.
DOI : 10.3115/1626431.1626468
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.164.8490

N. Bertoldi, M. Cettolo, R. Cattoni, B. Chen, and M. Federico, Itc-irst at the 2006 tc-star slt evaluation campaign, TC-STAR Workshop on Speech-to-Speech Translation, pp.19-24, 2006.

T. Brants, A. C. Popat, P. Xu, F. J. Och, and J. Dean, Large language models in machine translation, Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp.858-867, 2007.

P. Brown, S. D. Pietra, V. J. Pietra, and R. Mercer, The mathematics of statistical machine translation, Computational Linguistics, vol.19, issue.2, pp.263-311, 1993.

F. Peter, J. Brown, S. A. Cocke, V. J. Pietra, F. Pietra et al., A statistical approach to machine translation, Computational Linguistics, vol.16, issue.2, pp.79-85, 1990.

F. Casacuberta and E. Vidal, Machine Translation with Inferred Stochastic Finite-State Transducers, Computational Linguistics, vol.23, issue.2, pp.205-225, 1922.
DOI : 10.1109/34.211465

F. Casacuberta, E. Vidal, and J. M. Vilar, Architectures for speech-to-speech translation using finite-state models on Speech-to-speech translation: algorithms and systems, Proceedings of the ACL-02 workshop S2S '02, pp.39-44, 2002.

M. Cettolo, M. Federico, and N. Bertoldi, Roldano Cattoni, and Boxing Chen. A look inside the itc-irst smt system, MT-Summit, pp.451-457

E. Charniak, K. Knight, and K. Yamada, Syntax-based language models for statistical machine translation, In MT Summit IX. Intl. Assoc. for Machine Translation, p.27, 2003.

B. Chen, M. Zhang, A. Aw, and H. Li, Exploiting N-best hypotheses for SMT self-enhancement, Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies Short Papers, HLT '08, pp.157-160, 2008.
DOI : 10.3115/1557690.1557733

F. Stanley, J. Chen, and . Goodman, An empirical study of smoothing techniques for language modeling, Proceedings of the 34th Annual Meeting of the Association for Computational Linguistics (ACL-1996), pp.310-318, 1996.

F. Stanley, K. Chen, R. Seymore, and . Rosenfeld, Topic adaptation for language modeling using unnormalized exponential models, p.32, 1998.

D. Chiang, A hierarchical phrase-based model for statistical machine translation, Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics , ACL '05, pp.263-270, 2005.
DOI : 10.3115/1219840.1219873

D. Chiang, Hierarchical Phrase-Based Translation, Computational Linguistics, vol.23, issue.2, pp.201-228, 1922.
DOI : 10.1016/0743-1066(95)00035-I

J. Civera and A. Juan, Domain adaptation in statistical machine translation with mixture modelling, Proceedings of the Second Workshop on Statistical Machine Translation, StatMT '07, pp.177-180, 2007.
DOI : 10.3115/1626355.1626377

M. Denkowski and A. Lavie, Meteor 1.3: Automatic Metric for Reliable Optimization and Evaluation of Machine Translation Systems, Proceedings of the EMNLP 2011 Workshop on Statistical Machine Translation, p.31, 2011.

T. Do, Extraction de corpusparalì ele pour la traduction automatique depuis et vers une langue peu dotée, 2011.

G. Doddington, Automatic evaluation of machine translation quality using n-gram co-occurrence statistics, Proceedings of the second international conference on Human Language Technology Research -, pp.138-145, 2002.
DOI : 10.3115/1289189.1289273

K. Duh, K. Sudoh, T. Iwata, and H. Tsukada, Alignment inference and bayesian adaptation for machine translation, Proceedings of Machine Translation Summit XIII, p.37, 2011.

G. Foster and R. Kuhn, Mixture-model adaptation for SMT, Proceedings of the Second Workshop on Statistical Machine Translation, StatMT '07, pp.128-135, 2007.
DOI : 10.3115/1626355.1626372

G. Foster, C. Goutte, and R. Kuhn, Discriminative instance weighting for domain adaptation in statistical machine translation, Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp.451-459, 2010.

A. William, K. W. Gale, and . Church, A program for aligning sentences in bilingual corpora, Computational Linguistics, vol.19, issue.1, pp.75-102, 1993.

U. Germann, M. Jahr, K. Knight, D. Marcu, and K. Yamada, Fast and optimal decoding for machine translation, Proceedings of the 39th Annual Meeting on Association for Computational Linguistics, ACL '01, pp.228-235, 2001.
DOI : 10.1016/j.artint.2003.06.001

K. Gimpel and N. A. Smith, Generative models of monolingual and bilingual gappy patterns, Proceedings of the Sixth Workshop on Statistical Machine Translation, p.16, 2011.

C. Hardmeier, Fast and Extensible Phrase Scoring for Statistical Machine Translation, The Prague Bulletin of Mathematical Linguistics, pp.87-96, 2010.
DOI : 10.2478/v10108-010-0007-5

D. Hardt and J. Elming, Incremental re-training for post-editing smt. In The Ninth Conference of the Association for Machine Translation in the Americas, p.72, 2010.

M. Haruno and T. Yamazaki, High-performance bilingual text alignment using statistical and dictionary information, Proceedings of the 34th annual meeting on Association for Computational Linguistics, pp.131-138, 1996.

S. Hewavitharana, B. Zhao, A. S. Hildebrand, M. Eck, C. Hori et al., The CMU Statistical Machine Translation System for IWSLT 2005, Proceedings of the International Workshop on Spoken Language Translation (IWSLT), p.22, 2005.

A. Silja-hildebrand, M. Eck, S. Vogel, and A. Waibel, Adaptation of the translation model for statistical machine translation based on information retrieval, EAMT, pp.133-142, 2005.

F. Huang and B. Xiang, Feature-rich discriminative phrase rescoring for smt, Proceedings of the 23rd International Conference on Computational Linguistics, pp.492-500

J. Hutchins, Example-based machine translation: a review and commentary, Machine Translation, vol.19, issue.3-4, pp.197-211, 2005.
DOI : 10.1007/s10590-006-9003-9

J. Hutchins and H. L. Somers, An Introduction to Machine Translation, p.12, 1992.

R. Iyer and M. Ostendorf, Modeling long distance dependence in language: topic mixtures vs. dynamic cache models, Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96, pp.236-239, 1996.
DOI : 10.1109/ICSLP.1996.607085

M. Kay and M. Röscheisen, Text-translation alignment, Computational Linguistics, vol.19, pp.121-142, 1993.

P. Koehn, Pharaoh: A beam search decoder for phrase-based statistical machine translation models. Machine Translation: From Real Users to Research, pp.115-124, 2004.

P. Koehn and . Europarl, A Parallel Corpus for Statistical Machine Translation, Conference Proceedings: the tenth Machine Translation Summit, pp.79-86

P. Koehn, Statistical Machine Translation, p.24, 2010.
DOI : 10.1017/CBO9780511815829
URL : https://hal.archives-ouvertes.fr/hal-01433972

P. Koehn and J. Schroeder, Experiments in domain adaptation for statistical machine translation, Proceedings of the Second Workshop on Statistical Machine Translation, StatMT '07, pp.224-227, 2007.
DOI : 10.3115/1626355.1626388

P. Koehn, F. J. Och, and D. Marcu, Statistical phrase-based translation, Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology , NAACL '03, pp.48-54, 2003.
DOI : 10.3115/1073445.1073462

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

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

P. Lambert, H. Schwenk, C. Servan, and S. Abdul-rauf, Investigations on translation model adaptation using monolingual data, Proceedings of the Sixth Workshop on Statistical Machine Translation, pp.284-293, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00625481

A. Lavie and A. Agarwal, Meteor, Proceedings of the Second Workshop on Statistical Machine Translation, StatMT '07, pp.228-231, 2007.
DOI : 10.3115/1626355.1626389

A. Levenberg, C. Callison-burch, and M. Osborne, Stream-based translation models for statistical machine translation, Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, HLT '10, pp.394-402, 2010.

A. David and L. , Machine Translation by pattern matching, p.25, 2008.

Y. Lu, J. Huang, and Q. Liu, Improving statistical machine translation performance by training data selection and optimization, Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL), pp.343-350, 2007.

D. Marcu, W. Wang, A. Echihabi, and K. Knight, SPMT, Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, EMNLP '06, pp.44-52, 2006.
DOI : 10.3115/1610075.1610083

S. Matsoukas, I. Antti-veikko, B. Rosti, and . Zhang, Discriminative corpus weight estimation for machine translation, Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing Volume 2, EMNLP '09, pp.708-717, 2009.
DOI : 10.3115/1699571.1699605

E. Matusov, R. Zens, D. Vilar, A. Mauser, M. Popovic et al., The RWTH machine translation system, TC-STAR Workshop on Speechto-Speech Translation, pp.31-36, 2006.

C. Robert, W. Moore, and . Lewis, Intelligent selection of language model training data, Proceedings of the ACL 2010 Conference Short Papers, pp.220-224, 2010.

D. Stefan, M. , and D. Marcu, Improving machine translation performance by exploiting non-parallel corpora, Computational Linguistics, vol.31, issue.4, pp.477-504, 2005.

J. Nelder and R. Mead, A Simplex Method for Function Minimization, The Computer Journal, vol.7, issue.4, pp.308-313, 1965.
DOI : 10.1093/comjnl/7.4.308

L. Nepveu, G. Lapalme, P. Langlais, and G. Foster, Adaptive language and translation models for interactive machine translation, Proceedings of the Conference on Empirical Methods for Natural Language Processing, p.37, 2004.

F. Och, Statistical Machine Translation: From Single-Word Models to Alignment Templates, p.19, 2002.

F. 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

F. Och and H. Ney, A Systematic Comparison of Various Statistical Alignment Models, Computational Linguistics, vol.22, issue.1, pp.19-51, 2003.
DOI : 10.1109/89.817451

F. Och and H. Ney, The Alignment Template Approach to Statistical Machine Translation, Computational Linguistics, vol.25, issue.4, pp.417-449, 2004.
DOI : 10.1162/089120103321337458

F. Och, C. Tillmann, H. Ney, and . Informatik, Improved alignment models for statistical machine translation, pp.20-28, 1999.

F. Och, C. Tillmann, H. Ney, and . Informatik, Improved alignment models for statistical machine translation, pp.20-28, 1921.

F. Och, N. Ueffing, and H. Ney, An efficient A* search algorithm for statistical machine translation, Proceedings of the workshop on Data-driven methods in machine translation -, pp.55-62, 2001.
DOI : 10.3115/1118037.1118045
URL : http://acl.ldc.upenn.edu/W/W01/W01-1408.pdf

F. Och, D. Gildea, S. Khudanpur, A. Sarkar, K. Yamada et al., Syntax for statistical machine translation, Tech. Rep. Summer Workshop Final Report, p.22, 2003.

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

B. Aaron, R. D. Phillips, and . Brown, Training machine translation with a second-order taylor approximation of weighted translation instances, Machine Translation Summit XIII, p.37, 2011.

M. Powell, An efficient method for finding the minimum of a function of several variables without calculating derivatives, The Computer Journal, vol.7, issue.2, pp.155-162, 1964.
DOI : 10.1093/comjnl/7.2.155

M. J. Powell, A direct search optimization method that models the objective and constraint functions by linar interpolation, Proceedings of the sixth Workshop on Optimization and Numerical Analysis, pp.51-67, 1994.

W. Press, S. Teukolsky, W. Vetterling, and B. Flannery, Numerical Recipes in C++: The Art of Scientific Computing, 2002.

B. Roark, M. Saraclar, and M. Collins, Discriminative n-gram language modeling, Computer Speech & Language, vol.21, issue.2, 1925.
DOI : 10.1016/j.csl.2006.06.006

G. Sanchis-trilles and F. Casacuberta, Bayesian Adaptation for Statistical Machine Translation, Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition, SSPR&SPR'10, pp.620-629, 2010.
DOI : 10.1007/978-3-642-14980-1_61

H. Schwenk, Continuous space language models, Computer Speech & Language, vol.21, issue.3, pp.492-518, 1927.
DOI : 10.1016/j.csl.2006.09.003
URL : https://hal.archives-ouvertes.fr/hal-01454941

H. Schwenk, Investigations on large-scale lightly-supervised training for statistical machine translation, IWSLT, pp.182-189, 2008.
URL : https://hal.archives-ouvertes.fr/hal-01434032

H. Schwenk and J. Senellart, Translation model adaptation for an Arabic/French news translation system by lightly-supervised training, MT Summit, p.34, 2009.
URL : https://hal.archives-ouvertes.fr/hal-01433931

H. Schwenk, D. Déchelotte, and J. Gauvain, Continuous-Space Language Models for Statistical Machine Translation, Proceedings of the COL- ING/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

H. Schwenk, P. Lambert, L. Barrault, C. Servan, S. Abdul-rauf et al., Lium's smt machine translation systems for wmt 2011, Proceedings of the Sixth Workshop on Statistical Machine Translation, pp.464-469, 2011.
URL : https://hal.archives-ouvertes.fr/hal-01454948

R. Sennrich, Perplexity minimization for translation model domain adaptation in statistical machine translation, Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pp.539-549

K. Seymore and R. Rosenfeld, Using story topics for language model adaptation, p.32, 1997.

K. Shah, L. Barrault, and H. Schwenk, Translation model adaptation by resampling, Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, pp.392-399, 2010.
URL : https://hal.archives-ouvertes.fr/hal-01433890

K. Shah, L. Barrault, and H. Schwenk, Parametric weighting of parallel data for statistical machine translation Asian Federation of Natural Language Processing, Proceedings of 5th International Joint Conference on Natural Language Processing, pp.1323-1331, 2011.

M. Simard, N. Cancedda, B. Cavestro, M. Dymetman, E. Gaussier et al., Translating with non-contiguous phrases, Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing , HLT '05, pp.755-762, 2005.
DOI : 10.3115/1220575.1220670

M. Snover, B. Dorr, R. Schwartz, L. Micciulla, and J. Makhoul, A study of translation edit rate with targeted human annotation, Proceedings of the 7th Conference of the Association for Machine Translation in the Americas (AMTA), pp.223-231, 2006.

M. Snover, B. Dorr, and R. Schwartz, Language and translation model adaptation using comparalble corpora, Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, pp.857-866, 2008.

M. Snover, B. Dorr, and R. Schwartz, Language and translation model adaptation using comparable corpora, Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP '08, pp.857-866, 2008.
DOI : 10.3115/1613715.1613825

M. Snover, N. Madnani, B. Dorr, and R. Schwartz, Fluency, adequacy, or HTER? Exploring different human judgments with a tunable MT metric, Proceedings of the Fourth Workshop on Statistical Machine Translation , StatMT '09, pp.259-268, 2009.

H. Somers, Review article: Example-based machine translation, Machine Translation, vol.14, issue.2, pp.113-157, 1999.
DOI : 10.1023/A:1008109312730

F. Song and B. W. Croft, A general language model for information retrieval, Proceedings of the eighth international conference on Information and knowledge management , CIKM '99, pp.316-321, 1999.
DOI : 10.1145/319950.320022

A. Stolcke, Srilm?an extensible language modeling toolkit, Proceesings of the 7th International Conference on Spoken Language Processing, pp.901-904, 2002.

C. Tillmann and H. Ney, Word re-ordering and DP-based search in statistical machine translation, Proceedings of the 18th conference on Computational linguistics -, pp.850-856, 2000.
DOI : 10.3115/992730.992769

N. Ueffing, Using monolingual sourcce language data to improve MT performance, IWSLT, pp.174-181, 2006.

N. Ueffing, Transductive learning for statistical machine translation, Association for Computational Linguistics, pp.25-32, 2007.

S. Vogel, H. Ney, and C. Tillmann, HMM-based word alignment in statistical translation, Proceedings of the 16th conference on Computational linguistics -, pp.836-841, 1996.
DOI : 10.3115/993268.993313

Y. Wang and A. Waibel, Modeling with structures in statistical machine translation, Proceedings of the 17th international conference on Computational linguistics, pp.1357-1363, 1998.

J. S. White, The arpa mt evaluation methodologies: Evolution, lessons, and further approaches, Proceedings of the 1994 Conference of the Association for Machine Translation in the Americas, pp.193-205, 1994.

D. Wu, Stochastic inversion transduction grammars and bilingual parsing of parallel corpora, Computational Linguistics, vol.23, pp.377-403, 1922.

D. Wu, D. Wu, and H. Wong, Machine translation with a stochastic grammatical channel, Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics (ACL, pp.1408-1414, 1998.

H. Wu, H. Wang, and C. Zong, Domain adaptation for statistical machine translation with domain dictionary and monolingual corpora, Proceedings of the 22nd International Conference on Computational Linguistics, COLING '08, pp.993-1000, 2008.
DOI : 10.3115/1599081.1599206

K. Yamada and K. Knight, A syntax-based statistical translation model, Proceedings of the 39th Annual Meeting on Association for Computational Linguistics , ACL '01, pp.523-530, 2001.
DOI : 10.3115/1073012.1073079

C. Ho and Y. , Resampling methods: Concepts, applications, and justification, Practical Assessment Research and Evaluation, p.45, 2003.

R. Zens, F. J. Och, and H. Ney, Phrase-Based Statistical Machine Translation, German Conference on Artificial Intelligence, pp.18-32, 1921.
DOI : 10.1007/3-540-45751-8_2

B. Zhao, M. Ech, and S. Vogal, Language model adaptation for statistical machine translation with structured query models, Proceedings of the 20th international conference on Computational Linguistics , COLING '04, p.36, 2004.
DOI : 10.3115/1220355.1220414

B. Zhao, S. Vogel, M. Eck, and A. Waibel, Phrase pair rescoring with term weighting for statistical machine translatio, EMNLP, pp.206-213, 2004.