Automating natural language understanding is a lifelong quest addressed for decades. With
the help of advances in machine learning and particularly, deep learning, we are able to …

Automatic diacritization of Arabic text is a pivotal process that involves the addition of
diacritical marks to enhance the clarity and comprehension of the text. This task is crucial for …

Automatic text-based diacritic restoration models generally have high diacritic error rates
when applied to speech transcripts as a result of domain and style shifts in spoken …

Abstract Word Sense Disambiguation (WSD) is a pivotal challenge in natural language
processing (NLP), especially for languages with rich morphological features such as Arabic …

This paper describes a data augmentation technique for boosting the performance of
speech-based diacritic restoration. Our experiments demonstrate the utility of this appraoch …

This survey has explored the literature on the fields of Arabic NLP tasks and Arabic IE
applications to analyze the state-of-the-art trends, identify the research gaps in these …

This volume constitutes the refereed proceedings of the 8th International Conference on
Arabic Language Processing (ICALP 2023), formerly known as CITALA. The conference …

Despite the enormous increase in the number of Arabic posts on social networks, the
sentiment analysis research into extracting opinions from these posts lags behind that for the …