Though dialectal language is increasingly abundant on social media, few resources exist for
developing NLP tools to handle such language. We conduct a case study of dialectal …

Abstract Language is a social phenomenon and variation is inherent to its social nature.
Recently, there has been a surge of interest within the computational linguistics (CL) …

To determine whether a document or a sentence expresses a positive or negative sentiment,
three main approaches are commonly used: the lexicon-based approach, corpus-based …

Natural Language Processing for Arabic dialects has grown widely these last years. Indeed,
several works were proposed dealing with all aspects of Natural Language Processing …

In this paper, we propose a semi-supervised approach for sentiment analysis of Arabic and
its dialects. This approach is based on a sentiment corpus, constructed automatically and …

Nowadays, sentiment analysis research is widely applied in a variety of applications such as
marketing and politics. Several studies on the Arabic sentiment analysis have been carried …

Natural language processing (NLP) systems are now ubiquitous. Yet the benefits of these
language technologies do not accrue evenly to all users, and indeed they can be harmful; …

Recent impressive improvements in NLP, largely based on the success of contextual neural
language models, have been mostly demonstrated on at most a couple dozen high-resource …

In this paper, we present the latest version of our system for identifying linguistic code
switching in Arabic text. The system relies on Language Models and a tool for morphological …

Most automatic speech recognition (ASR) systems are optimised for one specific language
and their performance consequently deteriorates drastically when confronted with …