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What corpus-based Cognitive Linguistics can and cannot expect from neurolinguistics

Bibliographic Data

ID12197046
AuthorsAlice Blumenthal‐dramé (0009-0003-0132-7443, University of Freiburg, corresponding author), Alice Blumenthal-Dramé (Freiburg Institute for Advanced Studies, Albert-Ludwigs-Universität Freiburg, Freiburg im Breisgau, Germany)
Year2016
Volume27
Issue4
Pages493-505
Publication date2016-09-24
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCognitive Linguistics (JOURNAL)
Journal identifiersISSN: 0936-5907 • E-ISSN: 1613-3641
PublisherDe Gruyter Mouton (PUBLISHER • DE)
DOI10.1515/cog-2016-0062
OpenAlexW2555716320
LanguageEN
Citations received7
References cited74

This paper argues that neurolinguistics has the potential to yield insights that can feed back into corpus-based Cognitive Linguistics. It starts by discussing how far the cognitive realism of probabilistic statements derived from corpus data currently goes. Against this background, it argues that the cognitive realism of usage-based models could be further enhanced through deeper engagement with neurolinguistics, but also highlights a number of common misconceptions about what neurolinguistics can and cannot do for linguistic theorizing

Cognition · Cognitive linguistics · Cognitive psychology · Cognitive science · Linguistics · Natural language processing · Neurolinguistics · Psycholinguistics · Computer Science · Language, Metaphor, and Cognition · Natural Language Processing Techniques · Philosophy · Psychology · Syntax, Semantics, Linguistic Variation

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Unique citing works7
Citations per year0,7
Citation span2016 - 2021 (6)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 7

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