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Combining Local and Document-Level Context: The LMU Munich Neural Machine Translation System at WMT19.

, и . WMT (2), стр. 400-406. Association for Computational Linguistics, (2019)

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Другие публикации лиц с тем же именем

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