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Journals / Dil Eğitimi ve Araştırmaları Dergisi / 2025 / Cilt: 11 Sayı: 2

AI in Applied Linguistics: Implications, Limitations, and Issues

Uygulamalı Dilbilimde Yapay Zeka: Uygulamalar, Sınırlıklar ve Sorunlar

Engin Evrim Önem(Erciyes University)0000-0002-2711-7511
Pages
957–969
Publication Date
2025-10-29
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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, its responsible and knowledgeable implementation is key to advancing linguistic research and education.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:AI's transition from theory to practice has revolutionized many fields, and scientific research is no different.
📊
Key Findings & Data:AI is immensely influential in linguistics, changing language analysis, corpus development, and language learning.
💡
Conclusion & Impact: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, its responsible and knowledgeable implementation is key to advancing linguistic research and education.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:Yapay Zeka · Büyük Dil Modelleri · Derlem Dilbilim

Abstract

AI's transition from theory to practice has revolutionized many fields, and scientific research is no different. 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, its responsible and knowledgeable implementation is key to advancing linguistic research and education.

Özet

Yapay zekanın (YZ) kuramdan uygulamaya hızlı geçişi birçok alanda devrim yaratmıştır ve bilimsel araştırmalar da bundan etkilenmiştir. Dilbilimde YZ, dil incelemesi, derlem geliştirme ve dil öğrenimini değiştirerek son derece etkili olmuştur. Bu kısa makalede, alanyazın taraması yapılarak YZ'nin derlem dilbilimi ve uygulamalı dilbilimdeki uygulamaları aracılığıyla dilbilimsel araştırmalarda ki potansiyelini incelenmiştir. Ayrıca, YZ'nin kullanımındaki sınırlamaları ve etik sorunları ortaya konmuştur. Bu kapsamda makalede ilk olarak temel olan YZ kavramları açıklanmış, ardından YZ'nin derlem dilbilimindeki uygulamaları ve YZ'nin dil öğrenimi ve özellikle kişiselleştirilmiş öğrenme teknolojileri oluşturma ve dil edinimine yardımcı olma konusundaki rolü ile uygulamalı dilbilim üzerindeki etkisi ortaya konulmuştur. Son olarak, YZ'nin sınırlılıkları ve etik zorlukları içeren tartışmalı konuları ele alınmıştır.

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Cite This Article

Önem, E. E. (2025). AI in Applied Linguistics: Implications, Limitations, and Issues. Dil Eğitimi ve Araştırmaları Dergisi, Cilt: 11 Sayı: 2, 957–969. https://doi.org/10.31464/jlere.1671085

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