Survey of the Arabic Machine Translation Corpora
Baligh Babaali, Mohammed Salem · Lecture notes in networks and systems · 2022
Machine translation (henceforward referred to as MT) is one of the important areas of Natural language processing (NLP) that is necessary for cracking the language obstacle and easing inter-lingual communication. This paper sheds light on the approaches used in MT, available in the literature, to encourage researchers to study these techniques. In the last years, the neural approach is dominating the field of MT. Such a technique is based on datasets with a large number of parallel sentences, that, contrarily, Arabic MT is lacking such prestige. Thus, this paper summarizes the major Arabic MT corpora, with both sides the Standard Arabic and Dialectal Arabic, and discusses their characteristics, which we feel is a key concept in MT and may provide a better solution to these open challenges in Arabic MT.