Abstract
Abstract Search algorithms play a crucial role in enabling effective and interactive retrieval and querying experiences. This research introduces a new search function designed specifically for retrieving Arabic names stored within databases. Dubbed the Modified Arabic Soundex Function, it is presented as a method to enhance the search and retrieval process for Arabic names. Inspired by the English Soundex Function, which originated in 1918, the Modified Soundex Function is designed to address the unique characteristics of Arabic names. By processing the first letter of names, the proposed algorithm evaluates the "degree of closeness" between compared names, allowing it to accommodate variations in spelling and pronunciation inherent to Arabic names. This research provides a detailed explanation of the steps involved in the proposed algorithm, demonstrating its effectiveness in improving the accuracy and efficiency of the search and retrieval process for Arabic names from databases. The analysis of the performance of the Arabic name classification system using the Soundex algorithm showed notable results, with an overall precision of 79.1% and a recall of 91.9%. These percentages indicate the system's high ability to classify names accurately, though there is a need to improve precision to reduce errors. Overall, these results enhance the system's potential in phonetic name classification applications, highlighting the necessity for ongoing algorithm improvements. Keywords: Arabic Soundex, Name Retrieval, Natural Language Processing, Soundex algorithm.