  Arabic is recognised as the 4th most used language of the Internet. Arabic
has three main varieties: (1) classical Arabic (CA), (2) Modern Standard Arabic
(MSA), (3) Arabic Dialect (AD). MSA and AD could be written either in Arabic or
in Roman script (Arabizi), which corresponds to Arabic written with Latin
letters, numerals and punctuation. Due to the complexity of this language and
the number of corresponding challenges for NLP, many surveys have been
conducted, in order to synthesise the work done on Arabic. However these
surveys principally focus on two varieties of Arabic (MSA and AD, written in
Arabic letters only), they are slightly old (no such survey since 2015) and
therefore do not cover recent resources and tools. To bridge the gap, we
propose a survey focusing on 90 recent research papers (74% of which were
published after 2015). Our study presents and classifies the work done on the
three varieties of Arabic, by concentrating on both Arabic and Arabizi, and
associates each work to its publicly available resources whenever available.
