IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v14y2024i3p21582440241268641.html
   My bibliography  Save this article

Quantitative Research on Chinese Sentences Structure Based on Pattern Grammar

Author

Listed:
  • Jie Song
  • Congcong Yang
  • Yichu Sun
  • Yunhua Qu
  • Kuizi Ma
  • Huiying Cai

Abstract

With the proliferation of corpora, various syntactic analysis methodologies have been developed. However, syntactic analysis of Chinese sentences demands a theory that focuses more on word order and the interaction between content and function words, which is satisfied by pattern grammar theory. This study investigates the effectiveness of pattern grammar theory in the analysis of Chinese sentence structure and explores the linguistic characteristics of official documents by establishing a description system for structural complexity in Chinese. Statistical methods such as skewness, kurtosis, and correlation analyses were employed to evaluate the system’s performance. The findings confirm the effectiveness of pattern grammar in analyzing Chinese sentence structure by showing that it can accurately reflect the unique properties of Chinese official documents, such as the preference for fixed collocations, declarative sentences, and flat structures. Based on the above findings, this study provides a semantically compatible and innovative theoretical system for analyzing Chinese sentence structures.

Suggested Citation

  • Jie Song & Congcong Yang & Yichu Sun & Yunhua Qu & Kuizi Ma & Huiying Cai, 2024. "Quantitative Research on Chinese Sentences Structure Based on Pattern Grammar," SAGE Open, , vol. 14(3), pages 21582440241, August.
    • Handle: RePEc:sae:sagope:v:14:y:2024:i:3:p:21582440241268641
    DOI: 10.1177/21582440241268641
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440241268641
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440241268641?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:sagope:v:14:y:2024:i:3:p:21582440241268641. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.