Impact of Artificial Intelligence on the Quality of Arabic Language

Abstract

This research aims to study the impact of the generative artificial intelligence model, ChatGPT, on the quality of the Arabic language by analyzing the texts it generates in terms of accuracy, coherence, and linguistic diversity, comparing them with naturally written human texts.

The study also addresses the major challenges the model faces in processing the Arabic language, such as grammatical errors, structural inaccuracies, and reliance on limited data sources.

Due to the nature of the research, a descriptive, analytical, and experimental methodology has been adopted. Experiments will be conducted on a sample of texts generated by ChatGPT and compared with natural texts using specialized linguistic analysis tools.

Additionally, the results will be evaluated by a group of Arabic language experts to assess text quality, adherence to grammatical and morphological rules, as well as vocabulary diversity and semantic coherence.