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AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models.

, , , and . EMNLP (Findings), page 3464-3477. Association for Computational Linguistics, (2021)

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Sample Efficient Approaches for Idiomaticity Detection., , , , , and . MWE@LREC2022, page 105-111. European Language Resources Association, (2022)Use of Transformer-Based Models for Word-Level Transliteration of the Book of the Dean of Lismore., , , , and . CoRR, (2022)SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding., , , , , and . SemEval@NAACL, page 107-121. Association for Computational Linguistics, (2022)NAVER LABS Europe's Multilingual Speech Translation Systems for the IWSLT 2023 Low-Resource Track., , , and . IWSLT@ACL, page 144-158. Association for Computational Linguistics, (2023)AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models., , , and . EMNLP (Findings), page 3464-3477. Association for Computational Linguistics, (2021)Improving Tokenisation by Alternative Treatment of Spaces., , , and . EMNLP, page 11430-11443. Association for Computational Linguistics, (2022)Sheffield's Submission to the AmericasNLP Shared Task on Machine Translation into Indigenous Languages., and . CoRR, (2023)Word Boundary Information Isn't Useful for Encoder Language Models., , , , and . CoRR, (2024)