We propose two simple indices to classify journals published in the Arabic language and different Arabic researchers. These indices depend on the known impact factor and h-index. The new indices give an easy way to judge the ranking of any journal (output of any researcher) without reference to other non-Arabic journals (output of non-Arabic researchers).

In the current era of globalization, learning a foreign language has become necessity for everyone. Not only adults, but teenagers and children, ability to speak languages ​​really supports them understand other knowledge, especially those using languages. Learning in scope public schools under auspices Ministry National Education Religion such as Madrasah Ibtidaiyah like have differences both ...

Most tools and resources developed for natural language processing of Arabic are designed for Modern Standard Arabic (MSA) and perform terribly on Arabic dialects, such as Egyptian Arabic. Egyptian Arabic differs from MSA phonologically, morphologically and lexically and has no standardized orthography. We present a linguistically accurate, large-scale morphological analyzer for Egyptian Arabic...

Today Arabic is no longer the language of Islamic holy book but has become an international language, ministry religion revised curriculum by adding a special point, namely learning directed at communicative. The research method used content analysis with qualitative approach. data collection technique documentation, while aim to determine suitability MTs textbooks CEFR standard measuring instr...

Arabic diacritics are often missed in Arabic scripts. This feature is a handicap for new learner to read َArabic, text to speech conversion systems, reading and semantic analysis of Arabic texts. The automatic diacritization systems are the best solution to handle this issue. But such automation needs resources as diactritized texts to train and evaluate such systems. In this paper, we describe ...

The Arabic language is morphologically rich and syntactically complex with many differences from European languages, and this creates a challenge when porting existing annotation tools to Arabic. In this paper, we present an ongoing effort in lexical semantic analysis and annotation of Modern Standard Arabic (MSA) text, a semi automatic annotation tool concerned with the morphologic, syntactic,...

From the importance of knowledge in the speech, we knew the importance of oral exam. So in this paper we integrated BOW (Bag of Word), LSA(Latin Semantic Analysis), ASR (automatic speech recognition), zero crossing rate, and Ontology based approach to automate the online oral exam especially in Arabic language with take into consideration the authentication problem. Our proposal method faced ma...

This article focuses on the development of Natural Language Processing (NLP) tools for Computer Assisted Language Learning (CALL). First, we have developed some NLP tools: a labelled dictionary of Arabic (as complete as possible), a generator for morphological derivatives, a Conjugator and a morphological analyzer for Arabic. Second, we used these tools to create a number of educational applica...

Arabic is a morphologically rich and complex language, which presents significant challenges for natural language processing and machine translation. In this paper, we describe an ongoing effort to build our first Arabic-French phrase– based machine translation system using the Moses decoder among other linguistic tools. The results show an improvement in the quality of translation and a gain i...

This paper is not to compare between the Arabic language and the English language as natural languages. Instead, it focuses on the comparison among them in terms of their challenges in building text based Conversational Agents (CAs). A CA is an intelligent computer program that used to handle conversations among the user and the machine. Nowadays, CAs can play an important role in many aspects ...