Ongoing Development of Online Tone and Intonation Recognition in Mandarin During Late Childhood.

  • Published In: Journal of Speech, Language & Hearing Research, 2026, v. 69, n. 1. P. 97 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Xiaohe Xie; Shiting Yang; Yi-Chen Zhang; Qi Dong; Yun Nan 3 of 3

Abstract

Purpose: In tonal languages such as Chinese, the processing of lexical tone and speech intonation inevitably interact due to their shared reliance on fundamental frequency (F0). However, the developmental trajectory of this interaction remains unclear. The present study aimed to examine the development and maturation of online tone-intonation recognition during late childhood in native Mandarin-speaking children. Method: We conducted a longitudinal study tracking a group of Mandarinspeaking children (n = 66) from ages 9 to 11 years, and cross-sectionally compared their performance to that of adults (n = 21) on intonation (question vs. statement) and lexical tone (rising Tone 2 vs. falling Tone 4) identification, using the same set of sentences. Results: Children showed improvement over the 2-year period, particularly for stimuli with conflicting tone-intonation F0 contours (Tone 4 with question intonation and Tone 2 with statement intonation). Nonetheless, even at age 11 years, children still lagged behind adults in all conditions. Conclusion: These findings suggest that online recognition of tone and intonation in Mandarin continues to develop throughout late childhood. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Speech, Language & Hearing Research. 2026/01, Vol. 69, Issue 1, p97
  • Document Type:Article
  • Subject Area:Language and Linguistics
  • Publication Date:2026
  • ISSN:1092-4388
  • DOI:10.1044/2025_JSLHR-24-00922
  • Accession Number:190839087
  • Copyright Statement:Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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