Research on the Standardization of Chinese Educational Terminology Assisted by Artificial Intelligence.

This paper defines the commonly used terms in the current field of Chinese education and further clarifies the intrinsic connection between artificial intelligence and terminology norms in aspects such as data processing, pattern recognition, and knowledge services. Moreover, this paper analyzes the...

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Publicado en:China Terminology Vol. 28; no. 2; pp. 127 - 130
Autor principal: JI, Yinuo
Formato: Artículo
Publicado: China Terminology Magazine 2026
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        192169459
        10.12339/j.issn.1673-8578.2026.02.032
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        atl: Research on the Standardization of Chinese Educational Terminology Assisted by Artificial Intelligence.
      aug:
        au: JI, Yinuo
      su:
        Standardization
        Artificial intelligence
        Pattern perception
        Information services
        Electronic data processing
        Human-machine systems
      sug:
        subj:
          Standardization
          Artificial intelligence
          Pattern perception
          Information services
          Electronic data processing
          Human-machine systems
      keyword:
        artificial intelligence
        Chinese education
        terminology specification
      ab: This paper defines the commonly used terms in the current field of Chinese education and further clarifies the intrinsic connection between artificial intelligence and terminology norms in aspects such as data processing, pattern recognition, and knowledge services. Moreover, this paper analyzes the challenges currently faced by Chinese educational terms and explores from four perspectives how to utilize intelligent technologies to assist in the standardization of Chinese educational terms, including automatic recognition and extraction of terms, consistency detection, standardization processing, and knowledge base construction. Based on this, a new model for standardizing Chinese educational terms with human-machine collaboration supported by artificial intelligence is proposed. The main paths are to build an intelligent management platform, establish dynamic standards, develop application scenarios and improve evaluation feedback.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: Chinese
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