When phonological neighbors cooperate during spoken sentence processing - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Quarterly Journal of Experimental Psychology Année : 2023

When phonological neighbors cooperate during spoken sentence processing

Résumé

The present study examined for the first time the impact of the presence of a phonological neighbor on word recognition when the target word and its neighbor co-occur in a spoken sentence. To do so, we developed a new task, the verb detection task, in which participants were instructed to respond as soon as they detected a verb in a sequence of words, thus allowing us to probe spoken word recognition processes in real time. We found that participants were faster at detecting a verb when it was phonologically related to the preceding noun than when it was phonologically unrelated. This effect was found with both correct sentences (Experiment 1) and with ungrammatical sequences of words (Experiment 2). The effect was also found in Experiment 3 where adjacent phonologically related words were included in the non-verb condition (i.e., word sequences not containing a verb), thus ruling out any strategic influences. These results suggest that activation persists across different words during spoken sentence processing such that processing of a word at position n+1 benefits from the sublexical phonology activated during processing of the word at position n. We discuss how different models of spoken word recognition might be able (or not) to account for these findings.
Fichier principal
Vignette du fichier
PourHal.pdf (687.24 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04183893 , version 1 (21-08-2023)

Identifiants

Citer

Sophie Dufour, Jonathan Mirault, Jonathan Grainger. When phonological neighbors cooperate during spoken sentence processing. Quarterly Journal of Experimental Psychology, In press, ⟨10.1177/17470218231196823⟩. ⟨hal-04183893⟩
41 Consultations
41 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More