In this memory we made the design of an indexing model for Arabic language and adapting standards for describing learning resources used (the LOM and their application profiles) with learning conditions such as levels education of students, their levels of understanding... the pedagogical context with taking into account the representative elements of the text, text's length,... in particular, ...

Creating good stemming rules for the Arabic language comes from the importance of Arabic language as the sixth most used language in the word. Stemming is very important in information retrieval, data mining and language processing. With Arabic having complex morphology and grammatical properties, this poses a challenge for researchers in this field. In this paper, we try to use an online morph...

The demand for multilingual information is becoming perceptive as the users of the internet throughout the world are escalating and it creates a problem of retrieving documents in one language by specifying query in another language. This increasing demand can be addressed by designing automatic tools, which accepts the query in one language and retrieves the relevant documents in other languag...

some linguists believe that word in arabic language was initially based on one syllabus; orators have changed them according to the special countries, tribes and societies. they have contrived special acumen for any prefixes, suffixes and affixes addition. some other linguists believed that word was initially formed based on three letters, and thus different accents and languages were ramified ...

The Reduplications are made by repeating part of the base. The repeated part does not make sense and will never be used alone and is just popular in spoken language. In recent times, they have been used in some texts of poetry and prose, in particular, in stories written in vernacular. This research, with a historical approach, and with an analytical-explanatory method, examines the information...

This special issue of the Journal consists of nearly two dozen articles that address both methodological approaches to Arabic Natural Language Processing and Automatic Speech Recognition as well as pilot-tested applications that are of commercial value. In keeping with prior special issues of this Journal, published under the auspices of the current Editor-in-Chief, this issue will consider bot...

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...

This paper explains for the Arabic language, how to extract named entities and topics from news articles. Due to the lack of high quality tools for Named Entity Recognition (NER) and topic identification for Arabic, we have built an Arabic NER (RenA) and an Arabic topic extraction tool using the popular LDA algorithm (ALDA). NER involves extracting information and identifying types, such as nam...

The limited coverage of available Arabic language lexicons causes a serious challenge in Arabic cross language information retrieval. Translation in cross language information retrieval consists of assigning one of the semantic representation terms in the target language to the intended query. Despite the problem of the completeness of the dictionary, we also face the problem of which one of th...

In this paper we present the first application of Native Language Identification (NLI) to Arabic learner data. NLI, the task of predicting a writer’s first language from their writing in other languages has been mostly investigated with English data, but is now expanding to other languages. We use L2 texts from the newly released Arabic Learner Corpus and with a combination of three syntactic f...