The nature of Arabic language structure exposes the need for fuzzy or vague concept to reveal dishonest practices in Arabic documents. In this paper, we present a statement-based plagiarism detection approach in Arabic scripts using fuzzy-set IR model. The degree of similarity is calculated and compared to a threshold value to judge whether two statements are the same or different. Our corpus c...

A significant portion of data generated on blogging and microblogging websites is non-credible as shown in many recent studies. To filter out such non-credible information, machine learning can be deployed to build automatic credibility classifiers. However, as in the case with most supervised machine learning approaches, a sufficiently large and accurate training data must be available. In thi...

This paper provides an analysis of Al-ibdaal 'substitution' phenomenon found in Modern Standard Arabic (MSA) derivational processes, particularly, in the pattern ftaʕal. Al-ibdaal 'substitution' is defined in many Arabic morphological books (Al-Raagihi, 1984; Al-Galaayiini, 1991) as removing a letter and replacing it by another. For example, the /t/ in ztaha: is replaced by /d/ resulting in zda...

This paper demonstrates how a (multi-tape) two-level formalism can be used to write two-level grammars for Arabic non-linear morphology using a high level, but computation-ally tractable, notation. Three illustrative grammars are provided based on CV-, moraic-and aaxational analyses. These are complemented by a proposal for handling the hitherto computationally untreated problem of the broken p...

This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an English stemmer and a small (10K sentences) parallel corpus as its sole training resources. No parallel text is needed after the training phase. Monolingual, unannotated text can be used to further improve the stemmer by ...

Crowdsourcing has been used recently as an alternative to traditional costly annotation by many natural language processing groups. In this paper, we explore the use of Amazon Mechanical Turk (AMT) in order to assess the feasibility of using AMT workers (also known as Turkers) to perform linguistic annotation of Arabic. We used a gold standard data set taken from the Quran corpus project annota...

â  examining the effects of teaching contemporary arabic literature through communicative approach â  â  â  maryam jalaei * â  narges ganji ** â  sardar aslani *** â  â  â  â  â  in order to make use of modern methods of teaching in the field of teaching arabic to non- native arab speakers, this study employed communicative approach for the teaching of contemporary arabic literature. thus, this...

The profession of teaching still lacks qualified cadres who meet specific requirements to lead the process effectively. Most those working in field education graduated from institutions, colleges, and universities which they did not receive educational sciences that are concerned with preparing, qualifying training them practice profession. That is why most lack foundations standards on this ba...

Our submission is a non-structural Example-Based Machine Translation system that translates text from Arabic to English, using a parallel corpus aligned at the paragraph / sentence level. Each new input sentence is fragmented into phrases and those phrases are matched to example patterns, using various levels of morphological information. Source-language synonyms were derived automatically and ...