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) …

In this paper, we explore the effects of language variants, data sizes, and fine-tuning task
types in Arabic pre-trained language models. To do so, we build three pre-trained language …

Background Corpora play a vital role when training machine learning (ML) models and
building systems that use natural language processing (NLP). It can be challenging for …

THE TERM NATURAL language refers to any system of symbolic communication (spoken,
signed, or written) that has evolved naturally in humans without intentional human planning …

Over the past few years, Twitter has experienced massive growth and the volume of its
online content has increased rapidly. This content has been a rich source for several studies …

This paper presents Nabra, a corpora of Syrian Arabic dialects with morphological
annotations. A team of Syrian natives collected more than 6K sentences containing about …

The processing of the Arabic language is a complex field of research. This is due to many
factors, including the complex and rich morphology of Arabic, its high degree of ambiguity …

We present a unified set of guidelines and resources for conventional orthography of
dialectal Arabic. While Standard Arabic has well defined orthographic standards, none of the …

Comparing Arabic to other languages, Arabic lacks large corpora for Natural Language
Processing (Assiri, Emam & Al-Dossari, 2018; Gamal et al., 2019). A number of scholars …

The Universal Morphology (UniMorph) project is a collaborative effort providing broad-
coverage instantiated normalized morphological inflection tables for hundreds of diverse …