The aim of this paper is to evaluate three public Arabic speech corpora, namely the West Point (WP), Saudi Accented Arabic Voice Bank (SAAVB) and the BBN Technologies/American University at Beirut (BBN/AUB) corpus by referring the TIMIT English speech corpus as benchmark. Weaknesses, strengths, and discrepancies of these Arabic corpora regarding their design and content are covered in this pape...

1. Gum arabic is a water-soluble polysaccharide resistant to human gut enzymes and thus can be described as dietary fibre. 2. Using a most-probable-number technique, estimates were made of total anaerobes and of gum-arabic fermenters in the faeces of a volunteer during a control period and during addition of 10 g gum arabic/d to the diet. Using an enrichment technique, the principal bacteria ab...

Handwriting recognition is a challenging task for many real-world applications such as document authentication, form processing, historical documents. This paper focuses on the comparative study on off-line handwriting recognition system and Printed Characters by taking Arabic handwriting. The off-line Handwriting Recognition methods for Arabic words which being often used among then across the...

This paper describes the process of creating a novel resource, a parallel Arabizi-Arabic script corpus of SMS/Chat data. The language used in social media expresses many differences from other written genres: its vocabulary is informal with intentional deviations from standard orthography such as repeated letters for emphasis; typos and nonstandard abbreviations are common; and nonlinguistic co...

This paper presents a preliminary study of intra-speaker and inter-speaker variability in speech production and perception with an inter-dialect investigation of acoustic vocalic space according to different phonological systems. This work aims at providing an analytic study based on individual data that might account for individual strategies. We have studied variability in vowel production an...

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...