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Mandarin speakers prefer explicit visual cues in learning Cantonese tones: an eye-tracking study

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

This study investigates the role of visual feedback on Mandarin speakers learning Cantonese tones using a high-variability perceptual learning paradigm. Thirty Mandarin speakers participated in a two-day experiment, completing pre-tests, training, post-tests, and generalization tests. Explicit (tone letters) and implicit (tone numbers) information related to tones were provided during training. Participants' eye movements were recorded during training. The testing results showed that the identification of Cantonese tones by Mandarin speakers improved significantly, demonstrating the effectiveness of the training procedure incorporating visual feedback. Eye-tracking data revealed that participants spent the most time fixating on tone letters, and their attention to these letters increased as the training progressed. These findings highlight the importance of explicit visual information in auditory perceptual learning of tones. The impact of Mandarin tone experience on learning Cantonese tones was also discussed.

Original languageEnglish
Title of host publicationProceedings of the 38th Pacific Asia Conference on Language, Information and Computation
EditorsNathaniel Oco, Shirley N. Dita, Ariane Macalinga Borlongan, Jong-Bok Kim
PublisherAssociation for Computational Linguistics (ACL)
Pages1251-1258
Number of pages8
Publication statusPublished - Dec 2024
Event38th Pacific Asia Conference on Language, Information and Computation, PACLIC 2024 - Hybrid, Tokyo, Japan
Duration: 7 Dec 2024 → 9 Dec 2024

Publication series

NamePACLIC - Pacific Asia Conference on Language Information and Computation
PublisherAssociation for Computational Linguistics

Conference

Conference38th Pacific Asia Conference on Language, Information and Computation, PACLIC 2024
Country/TerritoryJapan
CityHybrid, Tokyo
Period7/12/24 → 9/12/24

ASJC Scopus subject areas

  • Language and Linguistics
  • Computer Science (miscellaneous)

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