Papers with distributional model of syntactic acquisition

1 papers
Character-based PCFG Induction for Modeling the Syntactic Acquisition of Morphologically Rich Languages (2021.findings-emnlp)

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Challenge: Existing models for syntactic acquisition are word-based and do not inspect functional affixes.
Approach: They propose a computer-based induction model that allows a clean ablation of the influence of subword information in grammar induction.
Outcome: The proposed model is more accurate in morphologically richer languages with subword information than word-based models.

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