In Arabic, the language used for everyday conversation ('spoken Arabic' - SA) differs markedly from literary Arabic (LA), which is used for written communication and formal functions. This fact raises questions regarding the cognitive status of the two varieties and their processing in the brain. Previous studies using auditory stimuli suggested that LA is processed by Arabic native speakers as...

In this paper, a supervised learning technique for extracting keyphrases of Arabic documents is presented. The extractor is supplied with linguistic knowledge to enhance its efficiency instead of relying only on statistical information such as term frequency and distance. During analysis, an annotated Arabic corpus is used to extract the required lexical features of the document words. The know...

This paper presents an interlingua-based framework that facilitates semantic processing of natural languages by a computer called Universal Networking Language (UNL). It is an artificial language that describes the meaning of sentences in terms of the schema of semantic nets. This framework focuses on representing all sentences that have the same meaning in all natural languages using a single ...

Arabic Person Name Recognition has been tackled mostly using either of two approaches: a rule-based or Machine Learning (ML) based approach, with their strengths and weaknesses. In this paper, the problem of Arabic Person Name Recognition is tackled through integrating the two approaches together in a pipelined process to create a hybrid system with the aim of enhancing the overall performance ...

This study was an investigation of several Arabic reading measures among dyslexics and normal Arabic readers across different ages (grades 3, 6, 9, and 12): the role of morphology, short vowelization (phonological and syntactic skills), spelling, reading isolated words, and reading comprehension. The results of the one-way ANOVAs indicated clear differences between the dyslexic readers and the ...

Although a number of attempts have been made to develop a stemming formalism for the Arabic language, most of these attempts have focused merely on the lexical structure of words as modeled by the Arabic grammatical and morphological lexical rules. This paper discusses the merits of light stemming for Arabic data and presents a simple light stemming strategy that has been developed on the basis...

Most, if not all, dialects of the Arabic language are characterized by features of pharyngealization – traditionally called emphasis. This phenomenon has triggered a great amount of research as early as the eighth century AD. Classical Arab linguists have described emphasis in terms of production with scattered attempts to describe the vocal tract configuration during the production of emphatic...

A community of practice may shape and reshape the identity of members of the community through providing them with situated learning or learning environment. This study, therefore, is to clarify the salient learning-based features of the language teaching community of practice that might formulate the identity of language teachers. To this end, the study examined how learning situations in two ...

The paper describes some of the work carried out within the European funded project MEDAR. The project has three streams of activity: the technical stream, the cooperation stream and the dissemination stream. MEDAR has first updated the existing surveys and BLARK for Arabic, and then the technical stream focused on machine translation. The consortium identified a number of freely available MT s...

In this paper, we propose a new font and size identification method for ultra-low resolution Arabic word images using a stochastic approach. The literature has proved the difficulty for Arabic text recognition systems to treat multi-font and multi-size word images. This is due to the variability induced by some font family, in addition to the inherent difficulties of Arabic writing including cu...