Proceedings of the 2024 International Conference on Humanities, Arts, Education and Social Development (HAESD 2024)

Analysis Of Double-Word Tone Bias

Authors
Zunan Fan1, *
1No. 21, Luntou Road, Haizhu District, Guangzhou City, Guangdong Province, 510000, China
*Corresponding author. Email: 2285657489@qq.com
Corresponding Author
Zunan Fan
Available Online 31 December 2024.
DOI
10.2991/978-2-38476-344-3_45How to use a DOI?
Keywords
tone of words; connected speech processes; bias analysis; preschool children
Abstract

Tone is an indispensable part of the Chinese phonetic system. It is a pitch change that runs through the whole syllable to distinguish the meaning of words and part of speech. This characteristic presents a unique challenge for preschool children, who are in the early stages of language acquisition [1][2].Inaccuracy of tone often leads to semantic confusion. In this study, the corpus audio is extracted and processed using Praat software and t-value analysis, and the tone bias shown by learners in the test is sorted out and analyzed. The results show that the word with the first word with the falling-rising tone has the highest bias rate, and the word with the rising tone as the first word has the lowest error rate. The main reasons for bias include ignoring the voice change of the flow and the negative migration of the mother tongue.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2024 International Conference on Humanities, Arts, Education and Social Development (HAESD 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
31 December 2024
ISBN
978-2-38476-344-3
ISSN
2352-5398
DOI
10.2991/978-2-38476-344-3_45How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Zunan Fan
PY  - 2024
DA  - 2024/12/31
TI  - Analysis Of Double-Word Tone Bias
BT  - Proceedings of the 2024 International Conference on Humanities, Arts, Education and Social Development (HAESD 2024)
PB  - Atlantis Press
SP  - 379
EP  - 385
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-344-3_45
DO  - 10.2991/978-2-38476-344-3_45
ID  - Fan2024
ER  -