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Monitoring in Language Perception

Bibliographic Data

ID4787694
AuthorsNan Van De Meerendonk (Radboud University Nijmegen, corresponding author), Herman H J Kolk (Radboud University Nijmegen), Dorothee J Chwilla (Radboud University Nijmegen), Constance Th W M Vissers, Constance Vissers (0000-0001-8773-7037, University Medical Center)
Year2009
Volume3
Issue5
Pages1211-1224
Publication date2009-09-01
Open AccessYes
TypeARTICLE
VenueLanguage and Linguistics Compass (JOURNAL)
Journal identifiersISSN: 1749-818X • E-ISSN: 1749-818X
PublisherWiley (PUBLISHER • GB)
DOI10.1111/j.1749-818x.2009.00163.x
OpenAlexW2165097107
LanguageEN
Citations received11
References cited51

Monitoring is an aspect of executive control that entails the detection of errors and the triggering of corrective actions when there is a mismatch between competing responses or representations. In the language domain, research of monitoring has mainly focused on errors made during language production. However, in language perception, for example while reading or listening, errors occur as well and people are able to detect them. A hypothesis that was developed to account for these errors is the monitoring hypothesis for language perception. According to this account, when a strong expectation conflicts with what is actually observed, a reanalysis is triggered to check the input for processing errors reflected by the P600 component. In contrast to what has been commonly assumed, the P600 is thought to reflect a general reanalysis and not a syntactic reanalysis. In this review, we will describe the different studies that led to this hypothesis and try to extend it beyond the language domain

Active listening · Cognition · Cognitive psychology · Corrective Feedback · Event-related potential · Linguistics · Natural language processing · P600 · Perception · Psycholinguistics · Advanced Algebra and Logic · Communication · Computer Science · Mathematics · Neurobiology of Language and Bilingualism · Philosophy · Psychology · Reading and Literacy Development · Artificial Intelligence

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Citations per year0.73
Citation span2011 - 2026 (16)
Highly citedNo

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