Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24–26, 2023, Zhengzhou, China

Research Article

A Study on the Relationship between Syntactic Complexity and Quality of English Argumentative Writing Based on Syntactic Analysis Tool TAASSC

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  • @INPROCEEDINGS{10.4108/eai.24-11-2023.2343562,
        author={Yue  Dong and Xianwei  Pu},
        title={A Study on the Relationship between Syntactic Complexity and Quality of English Argumentative Writing Based on Syntactic Analysis Tool TAASSC},
        proceedings={Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24--26, 2023, Zhengzhou, China},
        publisher={EAI},
        proceedings_a={ITEI},
        year={2024},
        month={4},
        keywords={argumentative writing quality syntactic complexity task types taassc},
        doi={10.4108/eai.24-11-2023.2343562}
    }
    
  • Yue Dong
    Xianwei Pu
    Year: 2024
    A Study on the Relationship between Syntactic Complexity and Quality of English Argumentative Writing Based on Syntactic Analysis Tool TAASSC
    ITEI
    EAI
    DOI: 10.4108/eai.24-11-2023.2343562
Yue Dong1, Xianwei Pu1,*
  • 1: Nanjing University of Science and Technology
*Contact email: phil667@njust.edu.cn

Abstract

The study explored the relationship between 22 syntactic complexity indices generated by TAASSC (Tool for the Automatic Analysis of Syntactic Sophistication and Complexity) and the quality of argumentative essays and the effects of task type (independent and source-based writing task) on the relationship. 126 argumentative written texts by sophomore English majors from Nanjing University of Science and Technology were collected during regular writing classes. The research results are as follows: (1) there was a statistically significant correlation between syntactic complexity and the quality of the argumentative writings; (2) T (normed frequency of T-units) and CN/C (complex nominals per clause) were able to predict the writing quality of the independent and source-based writing tasks, respectively; (3) the predictive power of TAASSC indices for the quality of independent writing (5.7%) was much lower than that for the source-based writing task (27.3%).