HOW EXISTING NLP TOOLS OF ARABIC LANGUAGE CAN SERVE HADITH PROCESSING
Abdelkarim Abdelkader, Moath Mustafa Ahmad Najeeb, MARWAN ALNAMARI, HAMID MALIK · INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY · 2019
The term Natural Language Processing (NLP) refers to all research and development aimed at modeling and reproducing, with the machines, the human capacity to produce and understand linguistic statements with the goal of communication.NLP, which is the crossroads of linguistics, computer science and artificial intelligence, sees its applications, its programs and many computer techniques, at the service of human language in order to apprehend the meaning of data in natural language.A high-level understanding for the human reasoning has long been sought and considered the extreme goal of the early work.for many natural languages such as English and French, and for all levels of analysis, many applications and tools have been developed.Also for Modern Standard Arabic there are several tools using new technologies like artificial intelligence, machine learning, have appeared for decades.These tools generally concern machine translation, information retrieval, ontologies, part of speech tagging, etc. Unfortunately for classical Arabic, language of Quran and Hadith things are just beginning.The purpose of this paper is to show how to benefit from existing tools for Hadih Science processing especially for evaluation and judgment of Hadith to distinguish between the accepted and rejected Hadith.