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1
LIMSI @ WMT’14 Medical Translation Task
Yvon, François; Do, Quoc Khanh; Lavergne, Thomas. - : Association for Computational Linguistics, 2022
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2
Joint WMT 2012 Submission of the QUAERO Project
Le, Hai-son; Lavergne, Thomas; Freitag, Markus. - : Association for Computational Linguistics, 2022
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3
LIMSI@WMT16: Machine Translation of News
In: First Conference on Machine Translation ; https://hal.archives-ouvertes.fr/hal-01388659 ; First Conference on Machine Translation, Aug 2016, Berlin, Germany. pp.239--245, ⟨10.18653/v1/W16-2304⟩ ; https://statmt.org/wmt16 (2016)
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4
The QT21/HimL Combined Machine Translation System
Braune, Fabienne; Yvon, François; Blain, Frédéric. - : Association for Computational Linguistics, 2016
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5
The QT21/HimL combined machine translation system
Ney, Hermann; Lavergne, Thomas; Tamchyna, Aleš. - : Association for Computational Linguistics, 2016
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6
Oublier ce qu'on sait, pour mieux apprendre ce qu'on ne sait pas : une étude sur les contraintes de type dans les modèles CRF
In: Actes de la 22e conférence sur le Traitement Automatique des Langues Naturelles. Articles longs ; Conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-01634997 ; Conférence sur le Traitement Automatique des Langues Naturelles, ATALA, 2015, Caen, France (2015)
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7
LIMSI$@$WMT'15 : Translation Task
In: Proceedings of the Tenth Workshop on Statistical Machine Translation ; https://hal.archives-ouvertes.fr/hal-02912383 ; Proceedings of the Tenth Workshop on Statistical Machine Translation, Sep 2015, Lisbon, Portugal. pp.145-151, ⟨10.18653/v1/W15-3016⟩ (2015)
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8
LIMSI @ WMT'13
In: Proceedings of the Eighth Workshop on Statistical Machine Translation, ; Workshop on Statistical Machine Translation 2013 (WMT 13) ; https://hal.archives-ouvertes.fr/hal-01489998 ; Workshop on Statistical Machine Translation 2013 (WMT 13), Aug 2013, Sofia, Bulgaria. pp.62 - 69 (2013)
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9
Designing an improved discriminative word aligner
In: International Conference on Intelligent Text Processing and Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01960730 ; International Conference on Intelligent Text Processing and Computational Linguistics, Jan 2011, Tokyo, Japan (2011)
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10
LIMSI @ WMT11
In: WMT 2011. Sixth Workshop on Statistical Machine Translation : Proceedings of the Workshop ; Sixth Workshop on Statistical Machine Translation (WMT 11) ; https://hal.archives-ouvertes.fr/hal-00644047 ; Sixth Workshop on Statistical Machine Translation (WMT 11), Jul 2011, Edinburgh, United Kingdom. pp.309-315 (2011)
Abstract: Ouvrage consultable à cette adresse : http://www.statmt.org/wmt11/WMT-2011.pdf ; International audience ; This paper describes LIMSI's submissions to the Sixth Workshop on Statistical Machine Translation. We report results for the French-English and German-English shared translation tasks in both directions. Our systems use n-code, an open source Statistical Machine Translation system based on bilingual n-grams. For the French-English task, we focussed on finding efficient ways to take advantage of the large and heterogeneous training parallel data. In particular, using a simple filtering strategy helped to improve both processing time and translation quality. To translate from English to French and German, we also investigated the use of the SOUL language model in Machine Translation and showed significant improvements with a 10-gram SOUL model. We also briefly report experiments with several alternatives to the standard n-best MERT procedure, leading to a significant speed-up.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing
URL: https://hal.archives-ouvertes.fr/hal-00644047/document
https://hal.archives-ouvertes.fr/hal-00644047
https://hal.archives-ouvertes.fr/hal-00644047/file/LIMSI_WMT11.pdf
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