Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Trending Technologies: A Corpus-based Genre Analysis of Abstracts on ChatGPT
1
Zitationen
2
Autoren
2023
Jahr
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.
Ähnliche Arbeiten
BLEU
2001 · 21.096 Zit.
Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics
2023 · 14.139 Zit.
Enriching Word Vectors with Subword Information
2017 · 9.656 Zit.
A unified architecture for natural language processing
2008 · 5.179 Zit.
A new readability yardstick.
1948 · 5.101 Zit.