We recently witnessed an exponential growth in dialectal Arabic usage in both textual data and speech recordings especially in social media. Processing such media is of great utility for all kinds of applications ranging from information extraction to social media analytics for political and commercial purposes to building decision support systems. Compared to other languages, Arabic, especiall...

Memory-based learning has been successfully applied to morphological analysis and part-ofspeech tagging in Western and Eastern-European languages (Daelemans et al., 1996; Van den Bosch and Daelemans, 1999; Zavrel and Daelemans, 1999). With the release of the Arabic Treebank by the Linguistic Data Consortium, a large corpus has become available for Arabic that can act as training material for ma...

We present a new and improved part of speech tagger for Arabic text that incorporates a set of novel features and constraints. This framework is presented within the MADAMIRA software suite, a state-of-the-art toolkit for Arabic language processing. Starting from a linear SVM model with basic lexical features, we add a range of features derived from morphological analysis and clustering methods...

This paper presents a new unsupervised learning approach with stacked autoencoder (SAE) for Arabic handwritten digits categorization. Recently, Arabic handwritten digits recognition has been an important area due to its applications in several fields. This work is focusing on the recognition part of handwritten Arabic digits recognition that face several challenges, including the unlimited vari...

Recently the rate of written colloquial text has increased dramatically. It is being used as a medium of expressing ideas especially across the WWW, usually in the form of blogs and partially colloquial articles. Most of these written colloquial has been in the Egyptian colloquial dialect, which is considered the most widely dialect understood and used throughout the Arab world. Modern Standard...

We introduce a list of Arabic multiword expressions (MWE) collected from various dictionaries. The MWEs are grouped based on their syntactic type. Every constituent word in the expressions is manually annotated with its full context-sensitive morphological analysis. Some of the expressions contain semantic variables as place holders for words that play the same semantic role. In addition, we ha...

We introduce a list of Arabic multiword expressions (MWE) collected from various dictionaries. The MWEs are grouped based on their syntactic type. Every constituent word in the expressions is manually annotated with its full context-sensitive morphological analysis. Some of the expressions contain semantic variables as place holders for words that play the same semantic role. In addition, we ha...

We present a novel technique for Arabic morphological annotation. The technique utilizes diacritization to produce morphological annotations of quality comparable to human annotators. Although Arabic text is generally written without diacritics, diacritization is already available for large corpora of Arabic text in several genres. Furthermore, diacritization can be generated at a low cost for ...

The Reduplications are made by repeating part of the base. The repeated part does not make sense and will never be used alone and is just popular in spoken language. In recent times, they have been used in some texts of poetry and prose, in particular, in stories written in vernacular. This research, with a historical approach, and with an analytical-explanatory method, examines the information...

This study reports the reading of 11 Arabic-speaking individuals with letter position dyslexia (LPD), and the effect of letter form on their reading errors. LPD is a peripheral dyslexia caused by a selective deficit to letter position encoding in the orthographic-visual analyzer, which results in migration of letters within words, primarily of middle letters. The Arabic orthography is especiall...