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Results: 106
Number of items: 106
  • Open Access
    van der Wal, O. D. (2026). Taking a step back: Measuring and mitigating bias in language models. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Suijkerbuijk, M., Prins, Z., de Heer Kloots, M., Zuidema, W., & Frank, S. L. (2025). BLiMP-NL: A Corpus of Dutch Minimal Pairs and Acceptability Judgments for Language Model Evaluation. Computational Linguistics, 51(4), 1267-1301. https://doi.org/10.31234/osf.io/mhjbx_v2, https://doi.org/10.1162/COLI_a_00559
  • Open Access
    Pouw, C., Alishahi, A., & Zuidema, W. (2025). A Linguistically Motivated Analysis of Intonational Phrasing in Text-to-Speech Systems: Revealing Gaps in Syntactic Sensitivity. In G. Boleda, & M. Roth (Eds.), The 29th Conference on Computational Natural Language Learning (CoNLL 2025) : Proceedings of the Conference: CoNLL 2025 : July 31-August 1, 2025 (pp. 126-140). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.conll-1.9
  • Open Access
    de Heer Kloots, M., Mohebbi, H., Pouw, C., Shen, G., Zuidema, W., & Bentum, M. (2025). What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 26, 256-260. https://doi.org/10.48550/arXiv.2506.00981, https://doi.org/10.21437/Interspeech.2025-1526
  • Suijkerbuijk, M., Prins, Z., de Heer Kloots, M. L. S., Zuidema, W. H., & Frank, S. (2025). BLiMP-NL: The Benchmark of Linguistic Minimal Pairs for Dutch [Data set]. Radboud Universiteit. https://doi.org/10.34973/tj4p-y007
  • de Heer Kloots, M., Mohebbi, H., Pouw, C., Shen, G., Zuidema, W., & Bentum, M. (2025, May 29). SSL-NL dataset [Data set]. Zenodo. https://doi.org/10.5281/zenodo.15548946
  • Open Access
    Jumelet, J., Zuidema, W., & Sinclair, A. (2024). Do Language Models Exhibit Human-like Structural Priming Effects? In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), The 62nd Annual Meeting of the Association for Computational Linguistics : Findings of the Association for Computational Linguistics: ACL 2024: ACL 2024 : August 11-16, 2024 (pp. 14727-14742). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-acl.877
  • Open Access
    de Heer Kloots, M., & Zuidema, W. (2024). Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0. Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 25, 4593-4597. https://doi.org/10.21437/Interspeech.2024-2490
  • Open Access
    Mohebbi, H., Jumelet, J., Hanna, M., Alishahi, A., & Zuidema, W. (2024). Transformer-specific Interpretability. In M. Mesgar, & S. Loáiciga (Eds.), The 18th Conference of the European Chapter of the Association for Computational Linguistics : Proceedings of Tutorial Abstracts: EACL : March 21, 2024 (pp. 21-26). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.eacl-tutorials.4
  • Open Access
    Jumelet, J. (2024). Finding structure in language models. [Thesis, fully internal, Universiteit van Amsterdam].
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