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The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared Task.

, , , and . WMT@EMNLP, page 1084-1091. Association for Computational Linguistics, (2020)

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The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared Task., , , and . WMT@EMNLP, page 1084-1091. Association for Computational Linguistics, (2020)Hand Gesture Recognition Using Deep Convolutional Neural Networks., , , and . ICT Innovations, volume 665 of Advances in Intelligent Systems and Computing, page 49-58. Springer, (2016)Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation., , and . NAACL-HLT, page 173-180. Association for Computational Linguistics, (2021)Language-Family Adapters for Multilingual Neural Machine Translation., , and . CoRR, (2022)Modeling contextual information in neural machine translation.. Ludwig Maximilian University of Munich, Germany, (2021)ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation., , , and . COLING, page 4732-4749. International Committee on Computational Linguistics, (2020)Improving Machine Translation of Rare and Unseen Word Senses., , , , and . WMT@EMNLP, page 614-624. Association for Computational Linguistics, (2021)Improving Anaphora Resolution in Neural Machine Translation Using Curriculum Learning., and . MTSummit (1), page 140-150. European Association for Machine Translation, (2019)Combining Local and Document-Level Context: The LMU Munich Neural Machine Translation System at WMT19., and . WMT (2), page 400-406. Association for Computational Linguistics, (2019)The LMU Munich Unsupervised Machine Translation System for WMT19., , , and . WMT (2), page 393-399. Association for Computational Linguistics, (2019)