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Online adaptation to post-edits for phrase-based statistical machine translation.

, , , , , and . Machine Translation, 28 (3-4): 309-339 (2014)

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Response-based Learning for Grounded Machine Translation., , and . ACL (1), page 881-891. The Association for Computer Linguistics, (2014)The HDU Discriminative SMT System for Constrained Data PatentMT at NTCIR10., , , , , and . NTCIR, National Institute of Informatics (NII), (2013)Measuring Immediate Adaptation Performance for Neural Machine Translation., , and . NAACL-HLT (1), page 2038-2046. Association for Computational Linguistics, (2019)Preference learning for machine translation.. University of Heidelberg, Germany, (2018)Multi-Task Learning for Improved Discriminative Training in SMT., and . WMT@ACL, page 292-300. The Association for Computer Linguistics, (2013)Online adaptation to post-edits for phrase-based statistical machine translation., , , , , and . Machine Translation, 28 (3-4): 309-339 (2014)A Post-editing Interface for Immediate Adaptation in Statistical Machine Translation., , and . COLING (Demos), page 16-20. ACL, (2016)Compact Personalized Models for Neural Machine Translation., , and . EMNLP, page 881-886. Association for Computational Linguistics, (2018)Multi-Task Minimum Error Rate Training for SMT., , and . Prague Bull. Math. Linguistics, (2011)A user-study on online adaptation of neural machine translation to human post-edits., , and . Machine Translation, 32 (4): 309-324 (2018)