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Random Language Model

E. DeGiuli
Phys. Rev. Lett. 122, 128301 – Published 29 March 2019
Physics logo See Focus story: Learning Language Requires a Phase Transition

Abstract

Many complex generative systems use languages to create structured objects. We consider a model of random languages, defined by weighted context-free grammars. As the distribution of grammar weights broadens, a transition is found from a random phase, in which sentences are indistinguishable from noise, to an organized phase in which nontrivial information is carried. This marks the emergence of deep structure in the language, and can be understood by a competition between energy and entropy.

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  • Revised 5 February 2019
  • Received 11 September 2018

DOI:https://doi.org/10.1103/PhysRevLett.122.128301

© 2019 American Physical Society

Physics Subject Headings (PhySH)

  1. Research Areas
  1. Physical Systems
Statistical PhysicsGeneral Physics

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Learning Language Requires a Phase Transition

Published 29 March 2019

The transition a young child makes in acquiring complex language might be a kind of phase transition.

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Authors & Affiliations

E. DeGiuli

  • Institut de Physique Théorique Philippe Meyer, École Normale Supérieure, PSL University, Sorbonne Universités, CNRS, 75005 Paris, France

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Issue

Vol. 122, Iss. 12 — 29 March 2019

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