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) …

State-of-the-art natural language processing (NLP) models are trained on massive training
corpora, and report a superlative performance on evaluation datasets. This survey delves …

The Arabic language is a morphologically rich language with relatively few resources and a
less explored syntax compared to English. Given these limitations, Arabic Natural Language …

It is becoming increasingly difficult to know who is working on what and how in
computational studies of Dialectal Arabic. This study comes to chart the field by conducting a …

Automatic categorization of short texts, such as news headlines and social media posts, has
many applications ranging from content analysis to recommendation systems. In this paper …

Neural networks have become the state-of-the-art approach for machine translation (MT) in
many languages. While linguistically-motivated tokenization techniques were shown to have …

Dialectal Arabic (DA) refers to varieties of everyday spoken languages in the Arab world.
These dialects differ according to the country and region of the speaker, and their textual …

Social media attracts a lot of users around the world. Many reasons drive people to use
social media sites such as expressing opinions and ideas, displaying their diaries and …

Offensive content, such as verbal attacks, demeaning comments, or hate speech, has
become widespread on social media. Automatic detection of this content is considered an …

Text normalization is an important enabling technology for several NLP tasks. Recently,
neural-network-based approaches have outperformed well-established models in this task …