Emergence of Syntax Needs Minimal Supervision

Raphaël Bailly (1) , Kata Gábor (2)

1 SAMM - Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne)
2 ERTIM - Équipe de Recherche en Textes, Informatique, Multilinguisme

This paper is a theoretical contribution to the debate on the learnability of syntax from a corpus without explicit syntax-specific guidance. Our approach originates in the observable structure of a corpus, which we use to define and isolate grammaticality (syntactic information) and meaning/pragmatics information. We describe the formal characteristics of an autonomous syntax and show that it becomes possible to search for syntax-based lexical categories with a simple optimization process , without any prior hypothesis on the form of the model.

Domaines: Informatique [cs]; Informatique et langage [cs.CL]

Raphaël Bailly, Kata Gábor. Emergence of Syntax Needs Minimal Supervision. ACL 2020, Jul 2020, Seattle, United States. ⟨hal-02860316⟩