Al Merey M

In recent years, the widespread adoption of social media platforms, online forums, question-and-answer services, and instant messaging applications has fueled an explosive growth in short text data. These concise yet information-dense texts—encompassing tweets, user comments, news headlines, tags, and search queries—have emerged as critical data sources for tasks such as sentiment analysis, user behavior modeling, product recommendation, and risk monitoring (Wan & Huang, 2024; Lin & Bu, 2022).

Evaluating large language models’ Arabic grammar error corrections and explanations Computer Engineering Department, College of Engineering and Petroleum, Kuwait University, Al-Shadadiya, Kuwait DOI 10.7717/peerj-cs.3486 Academic Editor Nicole Nogoy Subject Areas Artificial Intelligence, Computational Linguistics, Data Mining and Machine Learning, Natural Language and Speech, Text Mining Keywords Grammar error correction and explanations, Natural language processing, Large language models,...