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Cross-linguistic regularities and learner biases reflect “core” mechanics

Recent research in infant cognition and adult vision suggests that the mechanical object relationships may be more salient and naturally attention grabbing than similar but non-mechanical relationships. Here we examine two novel sources of evidence from language related to this hypothesis. In Experi...

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Detalles Bibliográficos
Autores principales: Strickland, Brent, Chemla, Emmanuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5764231/
https://www.ncbi.nlm.nih.gov/pubmed/29324761
http://dx.doi.org/10.1371/journal.pone.0184132
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author Strickland, Brent
Chemla, Emmanuel
author_facet Strickland, Brent
Chemla, Emmanuel
author_sort Strickland, Brent
collection PubMed
description Recent research in infant cognition and adult vision suggests that the mechanical object relationships may be more salient and naturally attention grabbing than similar but non-mechanical relationships. Here we examine two novel sources of evidence from language related to this hypothesis. In Experiments 1 and 2, we show that adults preferentially infer that the meaning of a novel preposition refers to a mechanical as opposed to a non-mechanical relationship. Experiments 3 and 4 examine cross-linguistic adpositions obtained on a large scale from machines or from experts, respectively. While these methods differ in the ease of data collection relative to the reliability of the data, their results converge: we find that across a range of diverse and historically unrelated languages, adpositions (such as prepositions) referring to the mechanical relationships of containment (e.g “in”) and support (e.g. “on”) are systematically shorter than closely matched but not mechanical words such as “behind,” “beside,” “above,” “over,” “out,” and “off.” These results first suggest that languages regularly contain traces of core knowledge representations and that cross-linguistic regularities can therefore be a useful and easily accessible form of information that bears on the foundations of non-linguistic thought.
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spelling pubmed-57642312018-01-23 Cross-linguistic regularities and learner biases reflect “core” mechanics Strickland, Brent Chemla, Emmanuel PLoS One Research Article Recent research in infant cognition and adult vision suggests that the mechanical object relationships may be more salient and naturally attention grabbing than similar but non-mechanical relationships. Here we examine two novel sources of evidence from language related to this hypothesis. In Experiments 1 and 2, we show that adults preferentially infer that the meaning of a novel preposition refers to a mechanical as opposed to a non-mechanical relationship. Experiments 3 and 4 examine cross-linguistic adpositions obtained on a large scale from machines or from experts, respectively. While these methods differ in the ease of data collection relative to the reliability of the data, their results converge: we find that across a range of diverse and historically unrelated languages, adpositions (such as prepositions) referring to the mechanical relationships of containment (e.g “in”) and support (e.g. “on”) are systematically shorter than closely matched but not mechanical words such as “behind,” “beside,” “above,” “over,” “out,” and “off.” These results first suggest that languages regularly contain traces of core knowledge representations and that cross-linguistic regularities can therefore be a useful and easily accessible form of information that bears on the foundations of non-linguistic thought. Public Library of Science 2018-01-11 /pmc/articles/PMC5764231/ /pubmed/29324761 http://dx.doi.org/10.1371/journal.pone.0184132 Text en © 2018 Strickland, Chemla http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Strickland, Brent
Chemla, Emmanuel
Cross-linguistic regularities and learner biases reflect “core” mechanics
title Cross-linguistic regularities and learner biases reflect “core” mechanics
title_full Cross-linguistic regularities and learner biases reflect “core” mechanics
title_fullStr Cross-linguistic regularities and learner biases reflect “core” mechanics
title_full_unstemmed Cross-linguistic regularities and learner biases reflect “core” mechanics
title_short Cross-linguistic regularities and learner biases reflect “core” mechanics
title_sort cross-linguistic regularities and learner biases reflect “core” mechanics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5764231/
https://www.ncbi.nlm.nih.gov/pubmed/29324761
http://dx.doi.org/10.1371/journal.pone.0184132
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