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) …

As language models grow ever larger, the need for large-scale high-quality text datasets has
never been more pressing, especially in multilingual settings. The BigScience workshop, a 1 …

Given that Arabic is one of the most widely used languages in the world, the task of Arabic
Machine Translation (MT) has recently received a great deal of attention from the research …

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 …

Pre-trained text encoders have drawn sustaining attention in natural language processing
(NLP) and shown their capability in obtaining promising results in different tasks. Recent …

In recent years, computer language area has witnessed important evolvement with
applications in different domains. Machine Translation MT technology, considered as a …

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 …

In this paper, we propose to build a morpho-semantic knowledge graph from Arabic
vocalized corpora. Our work focuses on classical Arabic as it has not been deeply …

In order to accurately represent the meaning and pronunciation of Arabic words and
sentences, the presence of diacritics plays a crucial role. Over the years, researchers have …

Arabic diacritization is a fundamental task for Arabic language processing. Previous studies
have demonstrated that automatically generated knowledge can be helpful to this task …