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  Prediction during language comprehension: What is next?

Ryskin, R., & Nieuwland, M. S. (2023). Prediction during language comprehension: What is next? Trends in Cognitive Sciences, 27(11), 1032-1052. doi:10.1016/j.tics.2023.08.003.

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Ryskin_Nieuwland_2023_prediction during language comprehension.pdf (Publisher version), 2MB
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Ryskin_Nieuwland_2023_prediction during language comprehension.pdf
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2023
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© 2023 The Authors. Published by Elsevier Ltd. This article is available under the Creative Commons CC-BY-NC license and permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.

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Ryskin, Rachel1, Author
Nieuwland, Mante S.2, 3, Author           
Affiliations:
1University of California Merced, Merced, CA, USA, ou_persistent22              
2Neurobiology of Language Department, MPI for Psycholinguistics, Max Planck Society, ou_792551              
3Donders Institute for Brain, Cognition and Behaviour, External Organizations, ou_55236              

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 Abstract: Prediction is often regarded as an integral aspect of incremental language comprehension, but little is known about the cognitive architectures and mechanisms that support it. We review studies showing that listeners and readers use all manner of contextual information to generate multifaceted predictions about upcoming input. The nature of these predictions may vary between individuals owing to differences in language experience, among other factors. We then turn to unresolved questions which may guide the search for the underlying mechanisms. (i) Is prediction essential to language processing or an optional strategy? (ii) Are predictions generated from within the language system or by domain-general processes? (iii) What is the relationship between prediction and memory? (iv) Does prediction in comprehension require simulation via the production system? We discuss promising directions for making progress in answering these questions and for developing a mechanistic understanding of prediction in language.

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Language(s): eng - English
 Dates: 2023-09-112023
 Publication Status: Issued
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.tics.2023.08.003
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Title: Trends in Cognitive Sciences
  Other : Trends Cogn. Sci.
Source Genre: Journal
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Publ. Info: Kidlington, Oxford, UK : Elsevier Current Trends
Pages: - Volume / Issue: 27 (11) Sequence Number: - Start / End Page: 1032 - 1052 Identifier: ISSN: 1364-6613
CoNE: https://pure.mpg.de/cone/journals/resource/954925620155