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    Trending Technologies: A Corpus-based Genre Analysis of Abstracts on ChatGPT

    		 
     
         
    ISSN: 2775 - 3719

    Publisher: author   

Trending Technologies: A Corpus-based Genre Analysis of Abstracts on ChatGPT
Indexed in Technology and Engineering
ARTICLE-FACTOR
 1.3
Article Basics Score: 3
Article Transparency Score: 2
Article Operation Score: 3
Article Articles Score: 2
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International Category Code (ICC):
ICC-1802
Publisher: Pusat Studi Bahasa Dan Publikasi Ilmiah
Authors: Emmanuel Mensah Bonsu, Dorah Kwakyewaa Adusei
International Journal Address (IAA):
IAA.ZONE/2775403803719
eISSN : 2775 - 3719 VALID ISSN Validator
Abstract Genre studies have dominated academic contexts, with a particular focus on research article abstracts. Such studies have focused on single and cross-discipline discourse practices, rather than how different disciplines address a common subject based on its communicative purpose. Against this backdrop, this study conducted a corpus-based genre analysis of RA abstracts on ChatGPT. Synergising ESP textual analysis, and corpus-based analysis, the study analysed 72 abstracts. The analyses revealed the
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