Due to the vast volumes of newly streamed data on the Internet and social media, the use of
sentiment analysis (SA) to extract information and analyze people's opinions has become a …

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) …

Recent language models have shown impressive multilingual performance, even when not
explicitly trained for it. Despite this, there are concerns about the quality of their outputs …

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 …

Abstract We present CAMeL Tools, a collection of open-source tools for Arabic natural
language processing in Python. CAMeL Tools currently provides utilities for pre-processing …

Transfer learning with a unified Transformer framework (T5) that converts all language
problems into a text-to-text format was recently proposed as a simple and effective transfer …

We describe findings of the third Nuanced Arabic Dialect Identification Shared Task (NADI
2022). NADI aims at advancing state of the art Arabic NLP, including on Arabic dialects. It …

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 …

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 …

Previous work on the problem of Arabic Dialect Identification typically targeted coarse-
grained five dialect classes plus Standard Arabic (6-way classification). This paper presents …