A Review Study for Arabic Machine Learning and Deep Learning Methods

Abstract

The fields of Natural Language Processing (NLP), Computer vision and speech processing witnessed great breakthroughs caused by the continuous advances in Deep Learning (DL). The implementation of DL techniques in Online Social Networking and Sentiment Analysis have proved to provide a state-of-the-art result in these areas. In this research, we survey the papers that claims to use the DL methods in NLP. We focus on the research that is related to the Arabic language due to the scares resources in Arabic NLP. We concluded that most of the early research in Arabic NLP focusses of OCR-Digitization and most recently is focusing on applying DL methods in Sentiment Analysis, diacrization and machine translation. We present this survey to provide the growing community of researchers in ANLP in the hope of bridging the gap between the ANLP and the English NLP.