The Arabic language is one of the oldest languages in the world that presents its own features and challenges while searching for Arabic-based content. The most search systems for the Holy Quran is organized around words (contained in the target verses) rather than the concepts which those words denote. As a word denote many concepts (polysemy) and a concept can be denoted by many words (synony...

This work presents a novel method for recognizing and extracting classical Arabic poems found in textual sources. The method utilizes the basic classical Arabic poem features such as structure, rhyme, writing style, and word usage. The proposed method achieves a precision of 96.94% while keeping a high recall value at 92.24%. The method was also used to build a prototype search engine for class...

We present a clustering algorithm for Arabic words sharing the same root. Root based clusters can substitute dictionaries in indexing for IR. Modifying Adamson and Boreham (1974), our Two-stage algorithm applies light stemming before calculating word pair similarity coefficients using techniques sensitive to Arabic morphology. Tests show a successful treatment of infixes and accurate clustering...

In the traditional Arabic NLP a root-pattern relationship has generally been considered as a simple relationship, whereas the potential aspect of considering it as a statistical measure has extensively been neglected and even never formally considered. This paper attempts therefore to explore some issues involved in considering the classical phenomenon of Arabic root-pattern relationships as pr...

The study tested the impact of the phonological and lexical distance between a dialect of Palestinian Arabic spoken in the north of Israel (SpA) and Modern Standard Arabic (StA or MSA) on word and non-word repetition in children with specific language impairment (SLI) and in typically developing (TD) age-matched controls. Fifty kindergarten children (25 SLI, 25 TD; mean age 5;5) and fifty first...

Arabic is a morphologically rich language, which presents a challenge for part of speech tagging. In this paper, we compare two novel methods for POS tagging of Arabic without the use of gold standard word segmentation but with the full POS tagset of the Penn Arabic Treebank. The first approach uses complex tags that describe full words and does not require any word segmentation. The second app...

One basic feature of the Arabic script is its semicursive style: some letters are connected to the next, but others are not, as in the Uyghur word [see text]/ya xʃi/ ("good"). None of the current orthographic coding schemes in models of visual-word recognition, which were created for the Roman script, assign a differential role to the coding of within letter "chunks" and between letter "chunks"...

Text mining techniques confront many challenges when dealing with the Arabic language including lexical disambiguation because Arabic is a highly inflectional and derivational language, most of the Arabic texts are devoid of diacritics especially Modern Standard Arabic (MSA), thus, it is a must to depend on the ambiguous word context under study. Two fuzzy logic classifiers have been built and ...

This paper discusses several issues in Arabic orthography that were encountered in the process of performing morphology analysis and POS tagging of 542,543 Arabic words in three newswire corpora at the LDC during 2002-2004, by means of the Buckwalter Arabic Morphological Analyzer. The most important issues involved variation in the orthography of Modern Standard Arabic that called for specific ...