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BERTje: A Dutch BERT Model, , , , , and . (2019)cite arxiv:1912.09582.DUMB: A Benchmark for Smart Evaluation of Dutch Models., , and . CoRR, (2023)Cognitively Plausible Computational Models of Lexical Processing Can Explain Variance in Human Word Predictions and Reading Times.. BNAIC/BENELEARN (Selected Papers), volume 1196 of Communications in Computer and Information Science, page 51-69. Springer, (2019)As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages., and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 836-846. Association for Computational Linguistics, (2021)As good as new. How to successfully recycle English GPT-2 to make models for other languages., and . CoRR, (2020)A Multilingual Approach to Identify and Classify Exceptional Measures against COVID-19., , , , and . NLLP@EMNLP, page 46-62. Association for Computational Linguistics, (2021)Make the Best of Cross-lingual Transfer: Evidence from POS Tagging with over 100 Languages., , and . ACL (1), page 7676-7685. Association for Computational Linguistics, (2022)Neural representations for modeling variation in speech., , , , , and . J. Phonetics, (2022)Explaining Lexical Processing Times with Cognitively Plausible Computational Models.. BNAIC/BENELEARN, volume 2491 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)What's so special about BERT's layers? A closer look at the NLP pipeline in monolingual and multilingual models., , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 4339-4350. Association for Computational Linguistics, (2020)