Rules and Natural Language Pattern in Extracting Quranic Knowledge

The extraction of Quranic knowledge is a challenging task since the Quran is different from human literature. The unique arrangement of its texts has made the task of directly accessing its meaning, which is rich in its linguistics and multi-layered meanings, difficult if done without the use of other resources such as the Hadith. Hence, this paper describes the extraction of the first layer and the use of natural language pattern in extracting the knowledge of Quranic English translation texts using natural language processing techniques. Evaluation is performed using the true positive, false positive and false negative metrics and encouraging results have been obtained.