Arabic dialects present a special problem for natural language processing because there are few Arabic dialect resources, they have no standard orthography, and they have not been studied much. However, as more and more written dialectal Arabic is found on social media, natural language processing for Arabic dialects has become an important goal. We present a methodology for creating a morpholo...

Reformulating the user query is a technique that aims to improve the performance of an Information Retrieval System (IRS) in terms of precision and recall. This paper tries to evaluate the technique of query reformulation guided by an external resource for Arabic texts. To do this, various precision and recall measures were conducted and two corpora with different external resources like Arabic...

Algerian Arabic is an Arabic dialect spoken in Algeria characterized by the absence of writing resources and standardization, hence it is considered as an under-resourced language. It differs from Modern Standard Arabic on all levels of linguistic representation, from phonology and morphology to lexicon and syntax. In this paper, we present a conventional orthography for Algerian Arabic, follow...

Arabic characters illustrate intricate, multidimensional and cursive visual information. Developing a machine learning system for Arabic character recognition is an exciting research. This paper addresses a neural computing concept for Arabic Optical Character Recognition (OCR). The method is based on local image sampling of each character to a selected feature matrix and feeding these matrices...

Modern Standard Arabic (MSA) is the formal language in most Arabic countries. Arabic Dialects (AD) or daily language differs from MSA especially in social media communication. However, most Arabic social media texts have mixed forms and many variations especially between MSA and AD. This paper aims to bridge the gap between MSA and AD by providing a framework for the translation of texts of soc...

Vast volumes of digital video data are generated recently in our daily life. One of the most challenging problems is classifying and retrieving the desired information from huge collections of digital video. Consequently, the closed caption text has been utilized as an alternative to enhance the video retrieval and classification. Some systems are designed based on English closed caption howeve...

Building Arabic dialogue systems (Spoken or Written) has gained an increasing interest in the last few. For this reasons, there are more interest for Arabic dialogue acts classification task because it a key player in Arabic language understanding to building this systems. This paper describes the results of the recent approaches of Arabic dialogue acts classifications and covers Arabic dialogu...

This paper provides a novel model for English/Arabic Query Translation to search Arabic text, and then expands the Arabic query to handle Arabic OCR-Degraded Text. This includes detection and translation of word collocations, translating single words, transliterating names, and disambiguating translation and transliteration through different approaches. It also expands the query with the expect...

We propose two simple indices to classify journals published in the Arabic language and different Arabic researchers. These indices depend on the known impact factor and h-index. The new indices give an easy way to judge the ranking of any journal (output of any researcher) without reference to other non-Arabic journals (output of non-Arabic researchers).

In the field of Arabic sociolinguistics, diglossia has been an interesting linguistic inquiry since it was first discussed by Ferguson in 1959. Since then, diglossia has been discussed, expanded, and revisited by Badawi (1973), Hudson (2002), and Albirini (2016) among others. While the discussion of the Arabic diglossic situation highlights the existence of two separate codes (High and Lo...