Cai, Zhenguang, Gilbert, Rebecca, Davis, Matthew H. et al. (4 more authors) (2017) Accent modulates access to word meaning: Evidence for a speaker-model account of spoken word recognition. Cognitive Psychology. 73–101. ISSN 0010-0285
Abstract
Speech carries accent information relevant to determining the speaker’s linguistic and social background. A series of web-based experiments demonstrate that accent cues can modulate access to word meaning. In Experiments 1-3, British participants were more likely to retrieve the American dominant meaning (e.g., hat meaning of “bonnet”) in a word association task if they heard the words in an American than a British accent. In addition, results from a speeded semantic decision task (Experiment 4) and sentence comprehension task (Experiment 5) confirm that accent modulates on-line meaning retrieval such that comprehension of ambiguous words is easier when the relevant word meaning is dominant in the speaker’s dialect. Critically, neutral-accent speech items, created by morphing British- and American-accented recordings, were interpreted in a similar way to accented words when embedded in a context of accented words (Experiment 2). This finding indicates that listeners do not use accent to guide meaning retrieval on a word-by-word basis; instead they use accent information to determine the dialectic identity of a speaker and then use their experience of that dialect to guide meaning access for all words spoken by that person. These results motivate a speaker-model account of spoken word recognition in which comprehenders determine key characteristics of their interlocutor and use this knowledge to guide word meaning access.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Authors |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Psychology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 06 Sep 2017 09:00 |
Last Modified: | 16 Oct 2024 14:00 |
Published Version: | https://doi.org/10.17605/OSF.IO/5X3TB |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.17605/OSF.IO/5X3TB |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:120939 |