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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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Findings of the WMT 2022 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MT., and . WMT, page 801-805. Association for Computational Linguistics, (2022)Multilingual Word Embeddings for Low-Resource Languages using Anchors and a Chain of Related Languages., , , , and . CoRR, (2023)Cross-Lingual Transfer Learning for Hate Speech Detection., , and . LT-EDI@EACL, page 15-25. Association for Computational Linguistics, (2021)A Comparison of Sentence-Weighting Techniques for NMT., , and . MTSummit (1), page 176-187. Association for Machine Translation in the Americas, (2021)Speaking Multiple Languages Affects the Moral Bias of Language Models., , , , , , and . ACL (Findings), page 2137-2156. Association for Computational Linguistics, (2023)Exploring Anisotropy and Outliers in Multilingual Language Models for Cross-Lingual Semantic Sentence Similarity., , , and . ACL (Findings), page 7023-7037. Association for Computational Linguistics, (2023)Combining Static and Contextualised Multilingual Embeddings., , and . ACL (Findings), page 2316-2329. Association for Computational Linguistics, (2022)God Wat Þæt Ic Eom God - An Exploratory Investigation Into Word Sense Disambiguation in Old English., , and . GSCL, page 39-48. GSCL e.V., (2015)Developing a Stemmer for German Based on a Comparative Analysis of Publicly Available Stemmers., and . GSCL, volume 10713 of Lecture Notes in Computer Science, page 81-94. Springer, (2017)A Study on Accessing Linguistic Information in Pre-Trained Language Models by Using Prompts., , and . EMNLP, page 7328-7336. Association for Computational Linguistics, (2023)