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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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NTUA-SLP at SemEval-2018 Task 1: Predicting Affective Content in Tweets with Deep Attentive RNNs and Transfer Learning., , , , , , , and . SemEval@NAACL-HLT, page 245-255. Association for Computational Linguistics, (2018)Improving the Lexical Ability of Pretrained Language Models for Unsupervised Neural Machine Translation., , and . NAACL-HLT, page 173-180. Association for Computational Linguistics, (2021)Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing., , , , , and . CoRR, (2023)Findings of the IWSLT 2023 Evaluation Campaign., , , , , , , , , and 51 other author(s). IWSLT@ACL, page 1-61. Association for Computational Linguistics, (2023)Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization., , , , , and . CoRR, (2023)The LMU Munich System for the WMT 2020 Unsupervised Machine Translation Shared Task., , , and . WMT@EMNLP, page 1084-1091. Association for Computational Linguistics, (2020)Efficient Hierarchical Domain Adaptation for Pretrained Language Models., , and . NAACL-HLT, page 1336-1351. Association for Computational Linguistics, (2022)Online community detection for fused social network graphs., and . FUSION, page 1682-1686. IEEE, (2016)Domain Adversarial Fine-Tuning as an Effective Regularizer., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 3103-3112. Association for Computational Linguistics, (2020)Language-Family Adapters for Multilingual Neural Machine Translation., , and . CoRR, (2022)