Arabic language processing has not yet achieved the superiority and automated levels. We aim to utilize and design an automatic POS Tagger for Arabic based supervised neural network techniques, which automatic, accurate, speed, and use least data for training. Review the state of the art of POS tagging methodologies, the characteristics and challenges of Arabic language. The implementation of Artificial Neural Network techniques like MLP, FRNN, SLP, BPN, HOPN, and SRNN are illustrated. The Learning and training algorithms and Genetic Algorithms concepts are presented and implemented. The...