Challenges Related to Grammatical and Morphological Processing of Arabic Texts by Means of Artificial Intelligence

Abstract

This research aims to study the challenges facing artificial intelligence in processing Arabic texts grammatically and morphologically, by conducting a survey on a random sample of Microsoft Word 2010 users. The research provided a theoretical framework for the subject of the study, as it addressed the concept of artificial intelligence, as well as the general challenges facing artificial intelligence and some challenges specific to processing Arabic texts. The research relied on the descriptive approach, and this helped highlight the importance of the study and provide a comprehensive vision of its subject. The study concluded a set of results, the most important of which are: - There are many challenges facing users in processing Arabic texts grammatically and morphologically, such as derivation, morphology, and the breadth and comprehensiveness of the Arabic language. - The inability of artificial intelligence so far to reach a high degree of quality and efficiency in processing Arabic texts grammatically and morphologically. - The possibility of processing the Arabic language in the future by adding some software operations that help develop the machine’s capabilities to understand the Arabic language and the ability to express it effectively, through the use of new artificial intelligence methods, such as deep learning and machine learning. The study recommended a number of important recommendations, which are: - Microsoft Word is constantly updated by Microsoft, in order to ensure the quality and efficiency of the program in processing Arabic texts grammatically and morphologically. - Encouraging students and researchers to conduct more scientific research in the field of automated processing of linguistic texts, in order to enhance the progress and development of this vital field.