Identification of Coptic Dialects Using Supervised Machine Learning
Year: 2025
Type: article
Abstract: 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.
Author: Missael, Peter
Institution: University of Göttingen
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930609241
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