State-of-the-art natural language processing (NLP) models are trained on massive training
corpora, and report a superlative performance on evaluation datasets. This survey delves …

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 …

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 …

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 …

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 …

Large language models (LLMs) finetuned to follow human instruction have recently
exhibited significant capabilities in various English NLP tasks. However, their performance …

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 …