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

, , , и . EMNLP (Findings), стр. 3464-3477. Association for Computational Linguistics, (2021)

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