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Enhancing Access to Online Education: Quality Machine Translation of MOOC Content.

, , , , , , , and . LREC, European Language Resources Association (ELRA), (2016)

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A tree does not make a well-formed sentence: Improving syntactic string-to-tree statistical machine translation with more linguistic knowledge., , and . Comput. Speech Lang., 32 (1): 27-45 (2015)Combined spoken language translation., , , , , , , , , and 6 other author(s). IWSLT (Evaluation Campaign), (2014)Edinburgh's Syntax-Based Systems at WMT 2014., , , , , and . WMT@ACL, page 207-214. The Association for Computer Linguistics, (2014)A Phrase Orientation Model for Hierarchical Machine Translation., , , and . WMT@ACL, page 452-463. The Association for Computer Linguistics, (2013)Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training., , , and . EAMT, page 69-78. European Association for Machine Translation, (2023)Enhancing Access to Online Education: Quality Machine Translation of MOOC Content., , , , , , , and . LREC, European Language Resources Association (ELRA), (2016)Findings of the 2020 Conference on Machine Translation (WMT20), , , , , , , , , and 11 other author(s). Proceedings of the Fifth Conference on Machine Translation, page 1--55. Online, Association for Computational Linguistics, (November 2020)Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing., , , and . CoRR, (2023)Edinburgh's Statistical Machine Translation Systems for WMT16., , , , , and . WMT, page 399-410. The Association for Computer Linguistics, (2016)Findings of the 2019 Conference on Machine Translation (WMT19)., , , , , , , , , and 5 other author(s). WMT (2), page 1-61. Association for Computational Linguistics, (2019)