An Intelligent Arabic Chatbot System Proposed Framework
Nagham A. Al-Madi, Khulood Abu Maria, Mohammad Al-Madi, Mohammad Alia, Eman Abu Maria
Abstract
Recently, several types of research in Chatbot systems have been developed in the literature by their means of having a considerable number of languages such as English, French, and other languages, which serve in various fields of a number of real-life cases. Chatbots are considered unfamiliar besides their little usage. To the best knowledge of the research, no previous research has been conducted in improving an Arabic Chatbot in Jordanian universities. With the outbreak of the COVID-19 pandemic and its global effects, the need to reduce the load on the admissions director and possibly other users became critical. Hence, this paper aims to develop an Intelligent Arabic Chatbot System that can reduce such a load. In particular, this system supports an Arabic spoken by using a Jordanian dialect with students, particularly at the Al-Zaytoonah Private University of Jordan. Therefore, the proposed system represents a primary Jordan chatbot that uses a Jordanian dialect.