Identification of Coptic Dialects Using Supervised Machine Learning

Dialect identification plays a crucial role in understanding the linguistic and cultural nuances of the Coptic language, the last stage of Ancient Egyptian, an Afro-Asiatic language. Despite its historical significance, there has been limited research in this area. This study introduces a supervised machine learning approach to Coptic dialect identification, aiming to bridge this gap in linguistic research, by leveraging advanced feature engineering and multiple classification algorithms.