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Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation.

, and . CoRR, (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)Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation., , and . NAACL-HLT, page 173-180. Association for Computational Linguistics, (2021)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)Addressing Zero-Resource Domains Using Document-Level Context in Neural Machine Translation., and . CoRR, (2020)Deep neural network architecture for sentiment analysis and emotion identification of Twitter messages., , , , and . Multim. Tools Appl., 77 (24): 32213-32242 (2018)LMU Munich's Neural Machine Translation Systems at WMT 2018., , , and . WMT (shared task), page 648-654. Association for Computational Linguistics, (2018)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)Content Based Image Retrieval for Large Medical Image Corpus., , , and . HAIS, volume 9121 of Lecture Notes in Computer Science, page 714-725. Springer, (2015)Language-Family Adapters for Multilingual Neural Machine Translation., , and . CoRR, (2022)