Modeling Overregularization in Children with Small Language Models (2024.findings-acl)
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| Challenge: | Existing research has analyzed regularization in language acquisition only by modeling word inflection directly, which is unnatural in light of human language acquisition. |
| Approach: | They hypothesize that language models that imitate errors children make during language acquisition have a learning process more similar to humans. |
| Outcome: | The proposed model shows child-like U-shaped learning curves clearly for certain verbs, but the preferences for types of overgeneralization did not fully match the observations in children. |
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Michal Štefánik, Timothee Mickus, Marek Kadlčík, Bertram Højer, Michal Spiegel, Raúl Vázquez, Aman Sinha, Josef Kuchař, Philipp Mondorf, Pontus Stenetorp
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