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Now, never, or coming soon

Prediction and efficient language processing

Bibliographic Data

ID20484694
AuthorsSofiia Rappe (0000-0003-3343-7025, Ludwig-Maximilians-Universitat Munich, corresponding author)
Year2019
Volume26
Issue2-3
Pages357-385
Publication date2019-12-31
Open AccessYes
TypeARTICLE
VenuePragmatics & Cognition (JOURNAL)
Journal identifiersISSN: 0929-0907 • E-ISSN: 1569-9943
PublisherJohn Benjamins Publishing Company (PUBLISHER • NL)
DOI10.1075/pc.19001.rap
OpenAlexW3133355047
LanguageEN
Citations received3
References cited74

The general principles of perceptuo-motor processing and memory give rise to the Now-or-Never bottleneck constraint imposed on the organization of the language processing system. In particular, the Now-or-Never bottleneck demands an appropriate structure of linguistic input and rapid incorporation of both linguistic and multisensory contextual information in a progressive, integrative manner. I argue that the emerging predictive processing framework is well suited for the task of providing a comprehensive account of language processing under the Now-or-Never constraint. Moreover, this framework presents a stronger alternative to the Chunk-and-Pass account proposed by Christiansen and Chater (2016), as it better accommodates the available evidence concerning the role of context (in both the narrow and wider senses) in language comprehension at various levels of linguistic representation. Furthermore, the predictive processing approach allows for treating language as a special case of domain-general processing strategies, suggesting deep parallels with other cognitive processes such as vision

Bottleneck · Cognition · Cognitive psychology · Cognitive science · Comprehension · Deep linguistic processing · Linguistics · Natural language processing · Parallels · Categorization, perception, and language · Computer Science · History · Language, Metaphor, and Cognition · Multisensory perception and integration · Psychology · Artificial Intelligence

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Citations per year0.75
Citation span2022 - 2026 (5)
Highly citedNo

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