Natural Syntax, Artificial Intelligence and Language Acquisitionopen access
- Authors
- O’Grady, William; Lee, Miseon
- Issue Date
- Jul-2023
- Publisher
- MDPI
- Keywords
- artificial intelligence; language acquisition; language models; Natural Syntax
- Citation
- INFORMATION, v.14, no.7, pp.1 - 10
- Indexed
- SCOPUS
- Journal Title
- INFORMATION
- Volume
- 14
- Number
- 7
- Start Page
- 1
- End Page
- 10
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/189405
- DOI
- 10.3390/info14070418
- Abstract
- 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.
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Collections - 서울 인문과학대학 > 서울 영어영문학과 > 1. Journal Articles
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