AI in Applied Linguistics: Implications, Limitations, and Issues
AI in Applied Linguistics: Implications, Limitations, and Issues
Author(s): Engin Evrim OnemSubject(s): Education, Applied Linguistics, ICT Information and Communications Technologies, Pedagogy
Published by: T.C. MEHMET AKİF ERSOY ÜNİVERSİTESİ EĞİTİM FAKÜLTESİ
Keywords: Artificial Intelligence (AI); Large Language Models (LLMs); Corpus Linguistics; Applied Linguistics; Language Learning; Limitations of AI;
Summary/Abstract: AI's transition from theory to practice has revolutionized many fields, and scientific research is no different in this sense. AI is immensely influential in linguistics, changing language analysis, corpus development, and language learning. This paper reviews the literature and examines the potential of AI in linguistic research through its applications in corpus linguistics and applied linguistics. Also, the limitations and ethical issues inherent in AI's use are explained. This paper starts with describing traditional AI notions followed by the practical applications of AI in corpus linguistics and the impact of AI on language learning and applied linguistics, specifically its role in creating personalized learning technologies and assisting in language acquisition. Finally, this paper will cover the controversial topics of AI, including its inherent limitations and the ethical challenges it poses, concluding that while AI has potential, utilizing it responsibly is key to advancing linguistic research and education.
Journal: Dil Eğitimi ve Araştırmaları Dergisi
- Issue Year: 11/2025
- Issue No: 2
- Page Range: 957-969
- Page Count: 13
- Language: English
