Linguistic Features of AI-Generated Scientific Manuscripts in Medical Fields: Writing Instruction in Perspective
سال انتشار: 1403
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 187
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ENGTECHTOOLS01_023
تاریخ نمایه سازی: 13 بهمن 1403
چکیده مقاله:
AI-generated scientific manuscripts and those written by humans exhibit several distinct linguistic features that can help in differentiating between the two. Some of these differences stem from the way AI processes language, its reliance on data patterns, and its lack of nuanced understanding of concepts and context. Some of the key linguistic features that often characterize AI-generated texts may include repetitiveness and redundancy, formulaic language, superficial argumentation, lack of personal engagement, lack of originality, inconsistent use of terminology, less metaphor or analogy, limited adaptation to audience, and problems with coherence. We would like to stress the integration of authentic insights, cultural context, emotional engagement, and critical thinking as characteristics of human writing which still remain crucial, signaling that written manuscripts are both informative and impactful.
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نویسندگان
Nematullah Shomoossi
Professor of Applied Linguistics; School of Medicine, Sabzevar University of Medical Sciences Sabzevar Iran
Abdurrashid Khazaei Feizabad
Assistant Professor of Applied Linguistics; Zahedan University of Medical Sciences, Zahedan, Iran
Fatemeh Baradaran Yazdi
Sabzevar Department of Education Sabzevar Iran (fbyazdi@yahoo.com)Farzaneh Shomoossi - Faculty of Science, Imam Khomeini International University Qazvin Iran