Information (Jul 2023)

Natural Syntax, Artificial Intelligence and Language Acquisition

  • William O’Grady,
  • Miseon Lee

DOI
https://doi.org/10.3390/info14070418
Journal volume & issue
Vol. 14, no. 7
p. 418

Abstract

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In recent work, various scholars have suggested that large language models can be construed as input-driven theories of language acquisition. In this paper, we propose a way to test this idea. As we will document, there is good reason to think that processing pressures override input at an early point in linguistic development, creating a temporary but sophisticated system of negation with no counterpart in caregiver speech. We go on to outline a (for now) thought experiment involving this phenomenon that could contribute to a deeper understanding both of human language and of the language models that seek to simulate it.

Keywords