Pre-pretraining on MP-STRUCT matches k-Shuffle Dyck baselines in efficiency while adding human-like resistance to implausible languages and challenges the need for C-RASP definability in effective PPT languages.
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2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Statistical grammar induction shows the GROWING (bottom-up) maturational account of syntactic category acquisition significantly outperforms the INWARD account across three metrics under identical input and learning conditions.
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Language Acquisition Device in Large Language Models
Pre-pretraining on MP-STRUCT matches k-Shuffle Dyck baselines in efficiency while adding human-like resistance to implausible languages and challenges the need for C-RASP definability in effective PPT languages.
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A Computational Operationalisation of Competing Maturational Theories of Syntactic Development via Statistical Grammar Induction
Statistical grammar induction shows the GROWING (bottom-up) maturational account of syntactic category acquisition significantly outperforms the INWARD account across three metrics under identical input and learning conditions.