An Efficient Indexing Approach to Find Quranic Symbols in Large Texts

Abstract

The study presents an algorithm for precise index-based multiple pattern matching which detects Quranic verses in a text and pinpoints them. To be sufficiently precise, Arabic diacritical symbols are removed from the input text, and then a unique algorithm changes the detected strings into indices and detects Quranic verses by focusing on indices consecutiveness. To accelerate the function, the stored strings in databanks were decreased from 84845 to 13362 strings; therefore, the search speed increased. The proposed Quranic algorithm is used for text analysis, and information retrieval criteria such as recall and precision and F criteria have been used to evaluate it. The results suggest that they had a profound impact on the efficiency of the algorithm.