Sentiment analysis is a task of natural language processing that has recently attracted
increasing attention. However, sentiment analysis research has mainly been carried out for …

Pre-trained language models (LMs) are currently integral to many natural language
processing systems. Although multilingual LMs were also introduced to serve many …

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 …

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 …

ChatGPT's emergence heralds a transformative phase in NLP, particularly demonstrated
through its excellent performance on many English benchmarks. However, the model's …

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 …

Arabic dialect identification is a complex problem for a number of inherent properties of the
language itself. In this paper, we present the experiments conducted, and the models …

Language identification (LID) is a fundamental step in many natural language processing
pipelines. However, current LID systems are far from perfect, particularly on lower-resource …

There has been a lot of recent interest in the natural language processing (NLP) community
in the computational processing of language varieties and dialects, with the aim to improve …