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Evaluating MT for massive open online courses - A multifaceted comparison between PBSMT and NMT systems.

, , , , , and . Machine Translation, 32 (3): 255-278 (2018)

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Improving Machine Translation of Educational Content via Crowdsourcing., , , , , , , , , and 4 other author(s). LREC, European Language Resources Association (ELRA), (2018)DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues., , , and . WMT@EMNLP, page 566-577. Association for Computational Linguistics, (2021)Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation., , , and . WMT, page 113-123. Association for Computational Linguistics, (2018)Translation Crowdsourcing: Creating a Multilingual Corpus of Online Educational Content., , , , , , , , , and . LREC, European Language Resources Association (ELRA), (2018)Editors' foreword to the special issue on human factors in neural machine translation., , , , and . Machine Translation, 33 (1-2): 1-7 (2019)Is Neural Machine Translation the New State of the Art?, , , , , and . Prague Bull. Math. Linguistics, (2017)Large-scale Machine Translation Evaluation of the iADAATPA Project., , , , , , , , , and 2 other author(s). MTSummit (2), page 179-185. European Association for Machine Translation, (2019)Evaluating the Impact of Light Post-Editing on Usability., and . LREC, European Language Resources Association (ELRA), (2016)PET: a Tool for Post-editing and Assessing Machine Translation., , and . LREC, page 3982-3987. European Language Resources Association (ELRA), (2012)Using Images to Improve Machine-Translating E-Commerce Product Listings., , , , , and . EACL (2), page 637-643. Association for Computational Linguistics, (2017)