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  Communicative predictions can overrule linguistic priors

Kroczek, L. O. H., & Gunter, T. C. (2017). Communicative predictions can overrule linguistic priors. Scientific Reports, 7: 17581. doi:10.1038/s41598-017-17907-9.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002E-906D-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-5E94-D
Genre: Journal Article

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 Creators:
Kroczek, Leon O. H.1, Author              
Gunter, Thomas C.1, Author              
Affiliations:
1Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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Free keywords: Human behaviour; Language
 Abstract: Predictions allow for efficient human communication. To be efficient, listeners’ predictions need to be adapted to the communicative context. Here we show that during speech processing this adaptation is a highly flexible and selective process that is able to fine-tune itself to individual language styles of specific interlocutors. In a newly developed paradigm, speakers differed in the probabilities by which they used particular sentence structures. Probe trials were applied to infer participants’ syntactic expectations for a given speaker and to track changes of these expectations over time. The results show that listeners fine-tune their linguistic expectations according to the individual language style of a speaker. Strikingly, nine months after the initial experiment these highly specific expectations could be rapidly reactivated when confronted with the particular language style of a speaker but not merely on the basis of an association with speaker identity per se. These findings highlight that communicative interaction fine-tunes and consolidates interlocutor specific communicative predictions which can overrule strong linguistic priors.

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Language(s): eng - English
 Dates: 2017-05-252017-12-042017-12-14
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1038/s41598-017-17907-9
PMID: 29242511
PMC: PMC5730607
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Title: Scientific Reports
  Abbreviation : Sci. Rep.
Source Genre: Journal
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Publ. Info: London, UK : Nature Publishing Group
Pages: - Volume / Issue: 7 Sequence Number: 17581 Start / End Page: - Identifier: ISSN: 2045-2322
CoNE: /journals/resource/2045-2322