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  Can prediction and retrodiction explain whether frequent multi-word phrases are accessed ’precompiled’ from memory or compositionally constructed on the fly?

Onnis, L., & Huettig, F. (2021). Can prediction and retrodiction explain whether frequent multi-word phrases are accessed ’precompiled’ from memory or compositionally constructed on the fly? Brain Research, 1772: 147674. doi:10.1016/j.brainres.2021.147674.

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Onnis, Luca1, Author
Huettig, Falk2, 3, 4, Author           
Affiliations:
1University of Genoa, Genoa, Italy, ou_persistent22              
2Psychology of Language Department, MPI for Psycholinguistics, Max Planck Society, ou_792545              
3The Cultural Brain, MPI for Psycholinguistics, Max Planck Society, ou_2579693              
4Center for Language Studies, External Organizations, ou_55238              

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Free keywords: frequency effects, prediction, postdiction, retrodiction, stored sequences
 Abstract: An important debate on the architecture of the language faculty has been the extent to which it relies on a compositional system that constructs larger units from morphemes to words to phrases to utterances on the fly and in real time using grammatical rules; or a system that chunks large preassembled, stored units of language from memory; or some combination of both approaches. Good empirical evidence exists for both ’computed’ and ’large stored’ forms in language, but little is known about what shapes multi-word storage / access or compositional processing. Here we explored whether predictive and retrodictive processes are a likely determinant of multi-word storage / processing. Our results suggest that forward and backward predictability are independently informative in determining the lexical cohesiveness of multi-word phrases. In addition, our results call for a reevaluation of the role of retrodiction in contemporary language processing accounts (cf. Ferreira and Chantavarin 2018).

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Language(s): eng - English
 Dates: 2021-09-272021-10-022021-12-01
 Publication Status: Issued
 Pages: -
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 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.brainres.2021.147674
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Title: Brain Research
  Other : Brain Res.
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 1772 Sequence Number: 147674 Start / End Page: - Identifier: ISSN: 0006-8993
CoNE: https://pure.mpg.de/cone/journals/resource/954926250616