Effects of individual differences in text exposure on sentence comprehension.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
05 10 2023
Historique:
received: 21 04 2023
accepted: 28 09 2023
medline: 2 11 2023
pubmed: 6 10 2023
entrez: 5 10 2023
Statut: epublish

Résumé

Linguistic experience plays a clear role in accounting for variability in sentence comprehension behavior across individuals and across sentence types. We aimed to understand how individual differences in reading experience predict reading behavior. Corpus analyses revealed the frequencies with which our experimental items appeared in written and spoken language. We hypothesized that reading experience should affect sentence comprehension most substantially for sentence types that individuals primarily encounter through written language. Readers with more text exposure were faster and more accurate readers overall, but they read sentence types biased to written language particularly faster than did readers with less text exposure. We see clear effects of text exposure on sentence comprehension in ways that allow explicit links between written and spoken corpus statistics and behavior. We discuss theoretical implications of effects of text exposure for experience-based approaches to sentence processing.

Identifiants

pubmed: 37798346
doi: 10.1038/s41598-023-43801-8
pii: 10.1038/s41598-023-43801-8
pmc: PMC10556088
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

16812

Subventions

Organisme : National Science Foundation (NSF), United States
ID : BCS-1749594

Informations de copyright

© 2023. Springer Nature Limited.

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Auteurs

Anastasia Stoops (A)

Psychology Department, University of Illinois Urbana-Champaign, Champaign, 61821, USA. agusico2@illinois.edu.

Jessica L Montag (JL)

Psychology Department, University of Illinois Urbana-Champaign, Champaign, 61821, USA.

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Classifications MeSH