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The LMU Munich Unsupervised Machine Translation System for WMT19.

, , , and . WMT (2), page 393-399. Association for Computational Linguistics, (2019)

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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)Enhancing Access to Online Education: Quality Machine Translation of MOOC Content., , , , , , , and . LREC, European Language Resources Association (ELRA), (2016)Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing., , , and . CoRR, (2023)Findings of the 2019 Conference on Machine Translation (WMT19)., , , , , , , , , and 5 other author(s). WMT (2), page 1-61. Association for Computational Linguistics, (2019)Edinburgh's Statistical Machine Translation Systems for WMT16., , , , , and . WMT, page 399-410. The Association for Computer Linguistics, (2016)Advancements in Arabic-to-English Hierarchical Machine Translation., , , and . EAMT, European Association for Machine Translation, (2011)Discriminative Reordering Extensions for Hierarchical Phrase-Based Machine Translation., , , and . EAMT, page 313-320. European Association for Machine Translation, (2012)Analyzing Challenges in Neural Machine Translation for Software Localization., , , and . EACL, page 2434-2446. Association for Computational Linguistics, (2023)Statistical machine translation with the Moses toolkit., , and . AMTA (Tutorials), Association for Machine Translation in the Americas, (2014)Pivot Lightly-Supervised Training for Statistical Machine Translation., and . AMTA, Association for Machine Translation in the Americas, (2020)