About | Contact Us | Register | Login
ProceedingsSeriesJournalsSearchEAI
Machine Learning and Intelligent Communication. 8th EAI International Conference, MLICOM 2023, Beijing, China, December 17, 2023, Proceedings

Research Article

A Study on the Readability of Chinese Text from a Rhetorical Perspective

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-71716-1_17,
        author={Dong Su and Zhou Jianshe and Zhang Kai and Zhang Wenyan and Lu Yumei},
        title={A Study on the Readability of Chinese Text from a Rhetorical Perspective},
        proceedings={Machine Learning and Intelligent Communication. 8th EAI International Conference, MLICOM 2023, Beijing, China, December 17, 2023, Proceedings},
        proceedings_a={MLICOM},
        year={2024},
        month={9},
        keywords={Rhetorical features text readability text difficulty readability formula},
        doi={10.1007/978-3-031-71716-1_17}
    }
    
  • Dong Su
    Zhou Jianshe
    Zhang Kai
    Zhang Wenyan
    Lu Yumei
    Year: 2024
    A Study on the Readability of Chinese Text from a Rhetorical Perspective
    MLICOM
    Springer
    DOI: 10.1007/978-3-031-71716-1_17
Dong Su1, Zhou Jianshe1,*, Zhang Kai1, Zhang Wenyan2, Lu Yumei3
  • 1: Capital Normal University
  • 2: Research Center for Language Intelligence of China
  • 3: China Fire and Rescue Institute
*Contact email: 2210101038@cnu.edu.cn

Abstract

Text readability calculation is an important method to evaluate the difficulty of Chinese reading text. This paper based on rhetoric corpus, counted the rhetoric features related index, adopt quantitative means to analyze the correlation of rhetoric features and text readability and other level language features fusion, and then use the multiple linear regression analysis method, with each level text features related index as an independent variable, the text difficulty level as dependent variable, to construct text readability calculation formula model, and calculated the model effect fitting degree. The results of this paper show that there is a strong correlation between the proportion of common rhetorical features, rhetorical questions, references and the readability of the text, which are more than 90%. The model constructed in this paper has a high fitting degree (R2= 0.972). In addition, the text test performs well in low-level text, and the prediction accuracy of high-level text is not enough.

Keywords
Rhetorical features text readability text difficulty readability formula
Published
2024-09-20
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-71716-1_17
Copyright © 2023–2025 ICST
EBSCOProQuestDBLPDOAJPortico
EAI Logo

About EAI

  • Who We Are
  • Leadership
  • Research Areas
  • Partners
  • Media Center

Community

  • Membership
  • Conference
  • Recognition
  • Sponsor Us

Publish with EAI

  • Publishing
  • Journals
  • Proceedings
  • Books
  • EUDL