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

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).

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-E22B-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-E22C-1
Genre: Conference Paper

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Dang_etal_2024.pdf (Publisher version), 393KB
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 Creators:
Dang, Anh1, 2, Author
Raviv, Limor1, 2, 3, Author           
Galke, Lukas1, 2, Author           
Affiliations:
1Language Evolution and Adaptation in Diverse Situations (LEADS), MPI for Psycholinguistics, Max Planck Society, ou_3368408              
2Language and Genetics Department, MPI for Psycholinguistics, Max Planck Society, Nijmegen, NL, ou_792549              
3University of Glasgow, Glasgow, UK, ou_persistent22              

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Language(s): eng - English
 Dates: 20242024
 Publication Status: Published online
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 Rev. Type: Peer
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Title: 13th edition of the Workshop on Cognitive Modeling and Computational Linguistics (CMCL 2024)
Place of Event: Bangkok, Thailand
Start-/End Date: 2024-08-15

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Title: CMCL 2024 - 13th Edition of the Workshop on Cognitive Modeling and Computational Linguistics, Proceedings of the Workshop
Source Genre: Proceedings
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Publ. Info: Kerrville, TX, USA : Association for Computational Linguistics (ACL)
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 177 - 188 Identifier: -