Optimizing Arabic Information Retrieval: A Comprehensive Evaluation of Preprocessing Techniques

Arabic Information Retrieval faces distinct challenges stemming from the language’s morphology, script complexity, and contextual intricacies. The success of retrieval systems hinges significantly on the preprocessing steps applied to the textual data. These preprocessing techniques play a pivotal role in transforming raw text into a format that facilitates efficient indexing, retrieval, and enhances the overall performance of IR systems. By evaluating and comparing the performance of various preprocessing techniques, we aim to shed light on the best practices and methodologies that can be employed to enhance the accuracy, efficiency, and user satisfaction of Arabic Information Retrieval systems.