Arabic diacritization, which can be considered forms of text normalization, has received a number of neural efforts (Belinkov and Glass, 2015;Abandah et al., 2015).
state-of-the-art approaches for end-to-end text normalization rely on several additional models and rule-based approaches as hybrid models (Pasha et al., 2014;Nawar, 2015;Zalmout and Habash, 2017), which introduce direct human knowledge into the system, but are limited to correcting specific mistakes and rely on expert knowledge to be developed.