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Copredication in Context: A Predictive Processing Approach

We propose a cognitive‐psychological model of linguistic intuitions about copredication statements. In copredication statements, like “The book is heavy and informative,” the nominal denotes two ontologically distinct entities at the same time. This has been considered a problem for standard truth‐c...

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Detalles Bibliográficos
Autores principales: Löhr, Guido, Michel, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287088/
https://www.ncbi.nlm.nih.gov/pubmed/35488793
http://dx.doi.org/10.1111/cogs.13138
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author Löhr, Guido
Michel, Christian
author_facet Löhr, Guido
Michel, Christian
author_sort Löhr, Guido
collection PubMed
description We propose a cognitive‐psychological model of linguistic intuitions about copredication statements. In copredication statements, like “The book is heavy and informative,” the nominal denotes two ontologically distinct entities at the same time. This has been considered a problem for standard truth‐conditional semantics. In this paper, we discuss two questions that have so far received less attention: What kinds of word representations and cognitive mechanisms are responsible for judgments about the felicitousness of copredication statements? Relatedly, why can similar copredication statements have different degrees of felicitousness? We first propose a cognitive‐computational model of copredication within the predictive processing framework. We then suggest that certain asymmetries in felicitousness judgments can be modeled in terms of a set of expectations that are influenced by higher‐order priors associated with discourse context and world knowledge.
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spelling pubmed-92870882022-07-19 Copredication in Context: A Predictive Processing Approach Löhr, Guido Michel, Christian Cogn Sci Regular Articles We propose a cognitive‐psychological model of linguistic intuitions about copredication statements. In copredication statements, like “The book is heavy and informative,” the nominal denotes two ontologically distinct entities at the same time. This has been considered a problem for standard truth‐conditional semantics. In this paper, we discuss two questions that have so far received less attention: What kinds of word representations and cognitive mechanisms are responsible for judgments about the felicitousness of copredication statements? Relatedly, why can similar copredication statements have different degrees of felicitousness? We first propose a cognitive‐computational model of copredication within the predictive processing framework. We then suggest that certain asymmetries in felicitousness judgments can be modeled in terms of a set of expectations that are influenced by higher‐order priors associated with discourse context and world knowledge. John Wiley and Sons Inc. 2022-04-30 2022-05 /pmc/articles/PMC9287088/ /pubmed/35488793 http://dx.doi.org/10.1111/cogs.13138 Text en © 2022 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS). https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Regular Articles
Löhr, Guido
Michel, Christian
Copredication in Context: A Predictive Processing Approach
title Copredication in Context: A Predictive Processing Approach
title_full Copredication in Context: A Predictive Processing Approach
title_fullStr Copredication in Context: A Predictive Processing Approach
title_full_unstemmed Copredication in Context: A Predictive Processing Approach
title_short Copredication in Context: A Predictive Processing Approach
title_sort copredication in context: a predictive processing approach
topic Regular Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287088/
https://www.ncbi.nlm.nih.gov/pubmed/35488793
http://dx.doi.org/10.1111/cogs.13138
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