Many Natural Language Processing and Information Retrieval methods are based on the extensive use of text corpora. The credibility of the results can be heavily influenced by the underlying corpus quality. Much research has been utilizing Arabic corpora into various tasks of Arabic Information Processing. In this paper we discuss a suite of metrics that can be used to ascertain the quality of A...

OBJECTIVE To translate the Falls Efficacy Scale International (FES-I) into Arabic according to the World Health Organization`s (WHO) criteria and to evaluate the concurrent validity of the FES-I in persons living with balance and vestibular disorders. METHODS This cross-sectional descriptive study included 43 persons with balance and vestibular disorders presenting to an outpatient dizziness ...

Language features and cultural factors play key roles in the difficulties associated with dyslexia. Thus, addressing the combination of these elements is essential to obtain better coverage of dyslexia issues and a deeper understanding of the needs of Arabic speakers with dyslexia. There is a great deal of progress yet to be achieved in the area of Arabic dyslexia, as little is published about ...

Building Automatic Speech Recognition (ASR) systems for spoken languages usually suffer from the problem of limited available transcriptions. Automatic Speech Recognition (ASR) systems require large speech corpora that contain speech and their corresponding transcriptions for training acoustic models. In this paper, we target the Egyptian dialectal Arabic. As other spoken languages, it is mainl...

Overdose of acetaminophen, a widely used analgesic drug, can result in severe hepatotoxicity and is often fatal. This study was undertaken to examine the effects of arabic gum (AG), which is commonly used in processed foods, on acetaminophen-induced hepatotoxicity in mice. Mice were given arabic gum orally (100 g l(-1)) 5 days before a hepatotoxic dose of acetaminophen (500 mg kg(-1)) intraperi...

Morphological analyzers and part-of-speech taggers are key technologies for most text analysis applications. Our aim is to develop a part-of-speech tagger for annotating a wide range of Arabic text formats, domains and genres including both vowelized and non-vowelized text. Enriching the text with linguistic analysis will maximize the potential for corpus re-use in a wide range of applications....

Arabic language is one of the most popular languages in the world. Hundreds of millions of people in many countries around the world speak Arabic as their native speaking. However, due to complexity of Arabic language, recognition of printed and handwritten Arabic text remained untouched for a very long time compared with English and Chinese. Although, in the last few years, significant number ...

Text processing is a vital step in the information retrieval process, text mining, and natural language processing. It includes several stages, such as normalization, stop word removal, and stemming. Stemming is the process of reducing the lexicon to its root. Due to the different structures and rules in languages, the task of stemming is language-dependent. This research introduces a new stemm...

OBJECTIVES To develop a conceptually and semantically valid Arabic version of a validated disease-specific instrument of quality of life (QoL) for women with abnormal uterine bleeding (AUB). METHODS This is a prospective cohort study conducted at the Department of Obstetrics & Gynecology, King Saud University, Riyadh, Kingdom of Saudi Arabia between December 2010 and December 2011 following e...

Many methods have been proposed for Arabic font recognition, but none of them has considered the specialty of the Arabic writing system. Most of these methods are either general pattern recognition approaches or application of other methods which have been developed for languages other than Arabic. Therefore, this paper is the first attempt to present an alternative method for Arabic font recog...