Identifying irony in user-generated social media content has a wide range of applications;
however to date Arabic content has received limited attention. To bridge this gap, this study …

We present an approach to Arabic automatic diacritization that integrates syntactic analysis
with morphological tagging through improving the prediction of case and state features. Our …

We present an analysis of diacritic recognition performance in Arabic Automatic Speech
Recognition (ASR) systems. As most existing Arabic speech corpora do not contain all …

Abstract Modern Standard Arabic, as well as other languages based on the Arabic script, are
usually written without diacritics, which complicates many language processing tasks …

Lexical ambiguity, a challenging phenomenon in all natural languages, is particularly
prevalent for languages with diacritics that tend to be omitted in writing, such as Arabic …

The diacritical marks of Arabic language are characters other than letters and are in the
majority of cases absent from Arab writings. This paper presents a hybrid system for …

This paper describes our approach to detecting Sentiment and Sarcasm for Arabic in the
ArSarcasm 2021 shared task. Data preprocessing is a crucial task for a successful learning …

Diacritization of written text has a significant impact on Arabic NLP applications. We present
an approach to Arabic automatic diacritization that integrates morphological analysis with …

Modern Standard Arabic, as well as Arabic dialect languages, are usually written without
diacritics. The absence of these marks constitute a real problem in the automatic processing …

We suggest a model for partial diacritization of deep orthographies. We focus on Arabic,
where the optional indication of selected vowels by means of diacritics can resolve …