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This paper introduces TatBLiMP, the first linguistic minimal pairs benchmark for the Tatar language, evaluating 16 morphosyntactic phenomena across models from from-scratch Tatar models to frontier multilingual LLMs.
This paper rethinks the linguistic notion of 'state' as a systemic morphosyntactic mechanism across synthetic languages, formalizing it as a set-valued function over grammatical templates within a Template-Based Modular Cognitive framework and offering a unified computational learning theory account.