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Conference Paper

Morphology matters: Probing the cross-linguistic morphological generalization abilities of large language models through a Wug Test

MPS-Authors

Dang,  Anh
Language Evolution and Adaptation in Diverse Situations (LEADS), MPI for Psycholinguistics, Max Planck Society;
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

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Raviv,  Limor
Language Evolution and Adaptation in Diverse Situations (LEADS), MPI for Psycholinguistics, Max Planck Society;
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;
University of Glasgow;

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Galke,  Lukas
Language Evolution and Adaptation in Diverse Situations (LEADS), MPI for Psycholinguistics, Max Planck Society;
Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society;

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Dang_etal_2024.pdf
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Citation

Dang, A., Raviv, L., & Galke, L. (2024). Morphology matters: Probing the cross-linguistic morphological generalization abilities of large language models through a Wug Test. In CMCL 2024 - 13th Edition of the Workshop on Cognitive Modeling and Computational Linguistics, Proceedings of the Workshop (pp. 177-188). Kerrville, TX, USA: Association for Computational Linguistics (ACL).


Cite as: https://hdl.handle.net/21.11116/0000-000F-E22B-2
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