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The Shape of the Vocabulary Predicts the Shape of the Bias

Children acquire attentional biases that help them generalize novel words to novel objects. Researchers have proposed that these biases arise from regularities in the early noun vocabulary children learn and suggest that the specifics of the biases should be tied to the specifics of individual child...

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Autores principales: Perry, Lynn K., Samuelson, Larissa K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3222225/
https://www.ncbi.nlm.nih.gov/pubmed/22125547
http://dx.doi.org/10.3389/fpsyg.2011.00345
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author Perry, Lynn K.
Samuelson, Larissa K.
author_facet Perry, Lynn K.
Samuelson, Larissa K.
author_sort Perry, Lynn K.
collection PubMed
description Children acquire attentional biases that help them generalize novel words to novel objects. Researchers have proposed that these biases arise from regularities in the early noun vocabulary children learn and suggest that the specifics of the biases should be tied to the specifics of individual children’s vocabularies. However, evidence supporting this proposal to date comes from studies of group means. The current study examines the relations between the statistics of the nouns young children learn and the similarities and differences in the biases they demonstrate. We show that individual differences in vocabulary structure predict individual differences in novel noun generalization. Thus, these data support the proposal that word learning biases emerge from the regularities present in individual children’s vocabularies and, importantly, that children’s on-line attention during an experiment is mediated by instances of past learning.
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spelling pubmed-32222252011-11-28 The Shape of the Vocabulary Predicts the Shape of the Bias Perry, Lynn K. Samuelson, Larissa K. Front Psychol Psychology Children acquire attentional biases that help them generalize novel words to novel objects. Researchers have proposed that these biases arise from regularities in the early noun vocabulary children learn and suggest that the specifics of the biases should be tied to the specifics of individual children’s vocabularies. However, evidence supporting this proposal to date comes from studies of group means. The current study examines the relations between the statistics of the nouns young children learn and the similarities and differences in the biases they demonstrate. We show that individual differences in vocabulary structure predict individual differences in novel noun generalization. Thus, these data support the proposal that word learning biases emerge from the regularities present in individual children’s vocabularies and, importantly, that children’s on-line attention during an experiment is mediated by instances of past learning. Frontiers Research Foundation 2011-11-22 /pmc/articles/PMC3222225/ /pubmed/22125547 http://dx.doi.org/10.3389/fpsyg.2011.00345 Text en Copyright © 2011 Perry and Samuelson. http://www.frontiersin.org/licenseagreement This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with.
spellingShingle Psychology
Perry, Lynn K.
Samuelson, Larissa K.
The Shape of the Vocabulary Predicts the Shape of the Bias
title The Shape of the Vocabulary Predicts the Shape of the Bias
title_full The Shape of the Vocabulary Predicts the Shape of the Bias
title_fullStr The Shape of the Vocabulary Predicts the Shape of the Bias
title_full_unstemmed The Shape of the Vocabulary Predicts the Shape of the Bias
title_short The Shape of the Vocabulary Predicts the Shape of the Bias
title_sort shape of the vocabulary predicts the shape of the bias
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3222225/
https://www.ncbi.nlm.nih.gov/pubmed/22125547
http://dx.doi.org/10.3389/fpsyg.2011.00345
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