The Processing of Grammatical Gender Agreement in Brazilian Portuguese: ERP Evidence in Favor of a Single Route.


Journal

Journal of psycholinguistic research
ISSN: 1573-6555
Titre abrégé: J Psycholinguist Res
Pays: United States
ID NLM: 0333506

Informations de publication

Date de publication:
Feb 2019
Historique:
pubmed: 18 8 2018
medline: 31 5 2019
entrez: 18 8 2018
Statut: ppublish

Résumé

The present study used event-related potentials to investigate whether the processing of grammatical gender agreement involving gender regular and irregular forms recruit the same or distinct neurocognitive mechanisms and whether different grammatical gender agreement conditions elicit the same or diverse ERP signals. Native speakers of Brazilian Portuguese read sentences containing congruent and incongruent grammatical gender agreement between a determiner and a regular or an irregular form (condition 1) and between a regular or an irregular form and an adjective (condition 2). However, in condition 2, trials with incongruent regular forms elicited more positive ongoing waveforms than trial with incongruent irregular forms. We found a biphasic LAN/P600 effect for gender agreement violation involving regular and irregular forms in both conditions. Our findings suggest that gender agreement between determiner and nouns recruits the same neurocognitive mechanisms regardless of the nouns' form and that, depending on the grammatical class of the words involved in gender agreement, differences in ERP signals can emerge.

Identifiants

pubmed: 30116977
doi: 10.1007/s10936-018-9598-z
pii: 10.1007/s10936-018-9598-z
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

181-198

Subventions

Organisme : Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
ID : Projeto CAPES-NUFFIC 051/13 [23038.007129/2013-40
Organisme : Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
ID : Bolsa de Doutorado Sanduíche [11598/13-1]

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Auteurs

Natália Carolina Alencar de Resende (NCA)

ADAPT Centre, School of Computing, Dublin City University, Dublin, Ireland.

Mailce Borges Mota (MB)

Department of Foreign Languages and Literatures, Federal University of Santa Catarina (UFSC), Florianópolis, SC, Brazil. mailce.mota@ufsc.br.

Pieter Seuren (P)

Max Planck Institute for Psycholinguistics, P.O. Box 310, 6500 AH, Nijmegen, The Netherlands.

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Classifications MeSH