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All Journal ELT Worldwide: Journal of English Language Teaching Linguistics Initiative
Dorah Kwakyewaa Adusei
University of Cape Coast
Humanities Education Languange, Linguistic, Communication & Media

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A Genre Analysis of Research Article Abstracts in Forensic Linguistics Isaac Essoun; Dorah Kwakyewaa Adusei; Emmanuel Mensah Bonsu
ELT Worldwide: Journal of English Language Teaching Vol 9, No 2 (2022)
Publisher : Pascasarjana Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/eltww.v9i2.34524

Abstract

As a key genre in the academic discourse community, research articles (RA) have enjoyed great popularity over the years. A key component of the RA is the RA abstract. Its essence is seen in its objective of giving an overview of the study. Given the dearth of genre analysis in the Forensic Linguistics discipline, the study aimed at exploring the move structure and lexico-grammatical features of RA abstracts published in Forensic Linguistics. Adopting Hyland’s five-move model for analysing abstracts, the study randomly sampled ninety (90) RA abstracts from three different Forensic Linguistics journals. Guided by Hüttner’s classification model, the study identified the Purpose move as an obligatory move with 100%. It was revealed that the abstracts follow the semi-linear move sequence, i.e., M1>M2>M3>M4, which was the preferred pattern. The highest textual space was allocated to the Introduction move, and the average number of words in the abstract was 264. With the linguistic realisation of the moves, the present verb tense was preferred, occurring frequently in the Introduction, Purpose, Product and Conclusion moves. Adjunct adverbials were found to dominate the Introduction move, while disjunct adverbials never occurred in any of the moves. The study has insightful implications for language pedagogy, knowledge in the field of Forensic linguistics, and further research.
Trending Technologies: A Corpus-based Genre Analysis of Abstracts on ChatGPT Emmanuel Mensah Bonsu; Dorah Kwakyewaa Adusei
Linguistics Initiative Vol. 3 No. 2 (2023)
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/27753719.3283

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 ‘Product’ and ‘Purpose’ moves were the most frequent in the abstracts. The ‘Product’ move was afforded much textual space. Concerning the lexicogrammatical features, chatgpt was typified in all the abstracts, occurring frequently at the ‘Introduction’ and ‘Purpose’ moves. Furthermore, the potential and use of ChatGPT, as well as its educational implications, were themes developed from the lexicogrammatical characteristics. Based on these findings, the study provides recommendations for practice and further research.
Co-Authors Emmanuel Mensah Bonsu Isaac Essoun