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 …

In this paper, we present the results and findings of the MADAR Shared Task on Arabic Fine-
Grained Dialect Identification. This shared task was organized as part of The Fourth Arabic …

Dialect and standard language identification are crucial tasks for many Arabic natural
language processing applications. In this paper, we present our deep learning-based …

The usage of social media platforms has resulted in the proliferation of work on Arabic
Natural Language Processing (ANLP), including the development of resources. There is …

This paper presents our results for the Nuanced Arabic Dialect Identification (NADI) shared
task of the Fifth Workshop for Arabic Natural Language Processing (WANLP 2020). We …

In this paper, we discuss our team's work on the NADI Shared Task. The task requires
classifying Arabic tweets among 21 dialects. We tested out different approaches, and the …

This thesis explores the challenging task of fine-grained Arabic dialect identification, using
the MADAR parallel corpus. We investigate the potential of Transformer-based language …

Dialect and standard language identification are crucial tasks for many Arabic natural
language processing applications. In this paper, we present our deep learning-based …

Topic models for focused analysis aim to capture topics within the limiting scope of a
targeted aspect (which could be thought of as some inner topic within a certain domain). To …

Le traitement automatique des langues nécessite l'utilisation de ressources telles que les
corpus (monolingues et multilingues), les corpus vocaux, les lexiques et les dictionnaires …