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A corpus-based interpretation of the discourse–cognitive–society triangle on Chinese court judgments

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  • Jingjing Wu

    (Guilin University of Technology)

  • Le Cheng

    (Zhejiang University)

  • Yi Yang

    (Guangxi University of Science and Technology)

Abstract

A court judgment is a common legal discourse and the final carrier of court trial activities. From the perspective of socio-cognitive discourse analysis, this study aims to describe and explore the Chinese court judgments in a corpus-based method, concentrating on the interactions among discourse, cognitive, and social dimensions. We have three key findings through an empirical qualitative analysis of the court judgments in China. First, the discourse dimension of Chinese court judgments is both society-oriented and cognition-oriented. The discourse components could mark the cognition sources in court judgments. Second, the cognitive source of faith is a part of social cognition on law and regulation, and induction and paraphrase provide the personal cognition to testimony, documentary, or hearsay evidence. Besides, the cognitive source of inference could change personal cognition into a social consensus through a reasoning process. Third, the social function of court judgments corresponds to the cognitive source and builds the surface structure with various discourse components. Moreover, a probe into the multi-dimensional relationship in court judgments can offer practical insights into the interpretation of legal texts in Chinese judicial decision-making.

Suggested Citation

  • Jingjing Wu & Le Cheng & Yi Yang, 2022. "A corpus-based interpretation of the discourse–cognitive–society triangle on Chinese court judgments," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-12, December.
    • Handle: RePEc:pal:palcom:v:9:y:2022:i:1:d:10.1057_s41599-022-01491-z
    DOI: 10.1057/s41599-022-01491-z
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    References listed on IDEAS

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    1. Daniyal Alghazzawi & Omaimah Bamasag & Aiiad Albeshri & Iqra Sana & Hayat Ullah & Muhammad Zubair Asghar, 2022. "Efficient Prediction of Court Judgments Using an LSTM+CNN Neural Network Model with an Optimal Feature Set," Mathematics, MDPI, vol. 10(5), pages 1-30, February.
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    Cited by:

    1. Le Cheng & Ming Xu & Guang Ma, 2023. "Tempo-spatial construction in human-law-society triangle from the perspective of cognitive semiotics," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.

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