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Word embeddings and discourse information for Quality Estimation.

, , , , and . WMT, page 831-837. The Association for Computer Linguistics, (2016)

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Quality estimation for asr k-best list rescoring in spoken language translation., , , , and . ICASSP, page 5226-5230. IEEE, (2015)QuEst - Design, Implementation and Extensions of a Framework for Machine Translation Quality Estimation., , , and . Prague Bull. Math. Linguistics, (2013)Parametric Weighting of Parallel Data for Statistical Machine Translation., , and . IJCNLP, page 1323-1331. The Association for Computer Linguistics, (2011)Groupwise learning for ASR k-best list reranking in spoken language translation., , , and . ICASSP, page 6120-6124. IEEE, (2016)Word embeddings and discourse information for Quality Estimation., , , , and . WMT, page 831-837. The Association for Computer Linguistics, (2016)Large-scale Multitask Learning for Machine Translation Quality Estimation., and . HLT-NAACL, page 558-567. The Association for Computational Linguistics, (2016)Model adaptation techniques in machine translation. (Techniques d'adaptation en traduction automatique).. University of Maine, Le Mans, France, (2012)Translation Model Adaptation by Resampling., , and . WMT@ACL, page 392-399. Association for Computational Linguistics, (2010)SHEF-Multimodal: Grounding Machine Translation on Images., , and . WMT, page 660-665. The Association for Computer Linguistics, (2016)An efficient and user-friendly tool for machine translation quality estimation., , and . LREC, page 3560-3564. European Language Resources Association (ELRA), (2014)