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ERP measures of semantic richness: the case of multiple senses

Semantic richness refers to the amount of semantic information that a lexical item possesses. An important measure of semantic richness is the number of related senses that a word has (e.g., TABLE meaning a piece of furniture, a table of contents, to lay aside for future discussion, etc.). We measur...

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Detalles Bibliográficos
Autores principales: Taler, Vanessa, Kousaie, Shanna, López Zunini, Rocío
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3560374/
https://www.ncbi.nlm.nih.gov/pubmed/23386817
http://dx.doi.org/10.3389/fnhum.2013.00005
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author Taler, Vanessa
Kousaie, Shanna
López Zunini, Rocío
author_facet Taler, Vanessa
Kousaie, Shanna
López Zunini, Rocío
author_sort Taler, Vanessa
collection PubMed
description Semantic richness refers to the amount of semantic information that a lexical item possesses. An important measure of semantic richness is the number of related senses that a word has (e.g., TABLE meaning a piece of furniture, a table of contents, to lay aside for future discussion, etc.). We measured electrophysiological response to lexical items with many and few related senses in monolingual English-speaking young adults. Participants performed lexical decision on each item. Overall, high-sense words elicited shorter response latencies and smaller N400 amplitudes than low-sense words. These results constitute further evidence of the importance of semantic richness in lexical processing, and provide evidence that processing of multiple related senses begins as early as 200 milliseconds after stimulus onset.
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spelling pubmed-35603742013-02-05 ERP measures of semantic richness: the case of multiple senses Taler, Vanessa Kousaie, Shanna López Zunini, Rocío Front Hum Neurosci Neuroscience Semantic richness refers to the amount of semantic information that a lexical item possesses. An important measure of semantic richness is the number of related senses that a word has (e.g., TABLE meaning a piece of furniture, a table of contents, to lay aside for future discussion, etc.). We measured electrophysiological response to lexical items with many and few related senses in monolingual English-speaking young adults. Participants performed lexical decision on each item. Overall, high-sense words elicited shorter response latencies and smaller N400 amplitudes than low-sense words. These results constitute further evidence of the importance of semantic richness in lexical processing, and provide evidence that processing of multiple related senses begins as early as 200 milliseconds after stimulus onset. Frontiers Media S.A. 2013-01-31 /pmc/articles/PMC3560374/ /pubmed/23386817 http://dx.doi.org/10.3389/fnhum.2013.00005 Text en Copyright © 2013 Taler, Kousaie and López Zunini. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Taler, Vanessa
Kousaie, Shanna
López Zunini, Rocío
ERP measures of semantic richness: the case of multiple senses
title ERP measures of semantic richness: the case of multiple senses
title_full ERP measures of semantic richness: the case of multiple senses
title_fullStr ERP measures of semantic richness: the case of multiple senses
title_full_unstemmed ERP measures of semantic richness: the case of multiple senses
title_short ERP measures of semantic richness: the case of multiple senses
title_sort erp measures of semantic richness: the case of multiple senses
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3560374/
https://www.ncbi.nlm.nih.gov/pubmed/23386817
http://dx.doi.org/10.3389/fnhum.2013.00005
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