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What naturalistic stimuli tell us about pronoun resolution in real-time processing

Studies on pronoun resolution have mostly utilized short texts consisting of a context and a target sentence. In the current study we presented participants with nine chapters of an audio book while recording their EEG to investigate the real-time resolution of personal and demonstrative pronouns in...

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Autores principales: Repp, Magdalena, Schumacher, Petra B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060885/
https://www.ncbi.nlm.nih.gov/pubmed/37009201
http://dx.doi.org/10.3389/frai.2023.1058554
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author Repp, Magdalena
Schumacher, Petra B.
author_facet Repp, Magdalena
Schumacher, Petra B.
author_sort Repp, Magdalena
collection PubMed
description Studies on pronoun resolution have mostly utilized short texts consisting of a context and a target sentence. In the current study we presented participants with nine chapters of an audio book while recording their EEG to investigate the real-time resolution of personal and demonstrative pronouns in a more naturalistic setting. The annotation of the features of the pronouns and their antecedents registered a surprising pattern: demonstrative pronouns showed an interpretive preference for subject/agent antecedents, although they are described to have an anti-subject or anti-agent preference. Given the presence of perspectival centers in the audio book, this however confirmed proposals that demonstrative pronouns are sensitive to perspectival centers. The ERP results revealed a biphasic N400–Late Positivity pattern at posterior electrodes for the demonstrative pronoun relative to the personal pronoun, thereby confirming previous findings with highly controlled stimuli. We take the observed N400 for the demonstrative pronoun as an indication for more demanding processing costs that occur due to the relative unexpectedness of this referential expression. The Late Positivity is taken to reflect the consequences of attentional reorientation: since the demonstrative pronoun indicates a possible shift in the discourse structure, it induces updating of the discourse structure. In addition to the biphasic pattern, the data showed an enhanced positivity at frontal electrode sites for the demonstrative pronoun relative to the personal pronoun. We suggest that this frontal positivity reflects self-relevant engagement and identification with the perspective holder. Our study suggests that by using naturalistic stimuli, we get one step closer to understanding the implementation of language processing in the brain during real life language processing.
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spelling pubmed-100608852023-03-31 What naturalistic stimuli tell us about pronoun resolution in real-time processing Repp, Magdalena Schumacher, Petra B. Front Artif Intell Artificial Intelligence Studies on pronoun resolution have mostly utilized short texts consisting of a context and a target sentence. In the current study we presented participants with nine chapters of an audio book while recording their EEG to investigate the real-time resolution of personal and demonstrative pronouns in a more naturalistic setting. The annotation of the features of the pronouns and their antecedents registered a surprising pattern: demonstrative pronouns showed an interpretive preference for subject/agent antecedents, although they are described to have an anti-subject or anti-agent preference. Given the presence of perspectival centers in the audio book, this however confirmed proposals that demonstrative pronouns are sensitive to perspectival centers. The ERP results revealed a biphasic N400–Late Positivity pattern at posterior electrodes for the demonstrative pronoun relative to the personal pronoun, thereby confirming previous findings with highly controlled stimuli. We take the observed N400 for the demonstrative pronoun as an indication for more demanding processing costs that occur due to the relative unexpectedness of this referential expression. The Late Positivity is taken to reflect the consequences of attentional reorientation: since the demonstrative pronoun indicates a possible shift in the discourse structure, it induces updating of the discourse structure. In addition to the biphasic pattern, the data showed an enhanced positivity at frontal electrode sites for the demonstrative pronoun relative to the personal pronoun. We suggest that this frontal positivity reflects self-relevant engagement and identification with the perspective holder. Our study suggests that by using naturalistic stimuli, we get one step closer to understanding the implementation of language processing in the brain during real life language processing. Frontiers Media S.A. 2023-03-16 /pmc/articles/PMC10060885/ /pubmed/37009201 http://dx.doi.org/10.3389/frai.2023.1058554 Text en Copyright © 2023 Repp and Schumacher. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Artificial Intelligence
Repp, Magdalena
Schumacher, Petra B.
What naturalistic stimuli tell us about pronoun resolution in real-time processing
title What naturalistic stimuli tell us about pronoun resolution in real-time processing
title_full What naturalistic stimuli tell us about pronoun resolution in real-time processing
title_fullStr What naturalistic stimuli tell us about pronoun resolution in real-time processing
title_full_unstemmed What naturalistic stimuli tell us about pronoun resolution in real-time processing
title_short What naturalistic stimuli tell us about pronoun resolution in real-time processing
title_sort what naturalistic stimuli tell us about pronoun resolution in real-time processing
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060885/
https://www.ncbi.nlm.nih.gov/pubmed/37009201
http://dx.doi.org/10.3389/frai.2023.1058554
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