Neural machine translation has become a major alternative to widely used phrase-based
statistical machine translation. We notice however that much of research on neural machine
translation has focused on European languages despite its language agnostic nature. In this
paper, we apply neural machine translation to the task of Arabic translation (Ar<-> En) and
compare it against a standard phrase-based translation system. We run extensive
comparison using various configurations in preprocessing Arabic script and show that the …