Cortical algorithms (CA) inspired by and modeled after the human cortex, have shown superior accuracy in few machine learning applications. However, CA have not been extensively implemented for speech recognition applications, in particular the Arabic language. Motivated to apply CA to Arabic speech recognition, we present in this paper an improved CA that is efficiently trained using an entrop...

<span>Technological advancements are helping people with special needs overcome many communications’ obstacles. Deep learning and computer vision models innovative leaps nowadays in facilitating unprecedented tasks human interactions. The Arabic language is always a rich research area. In this paper, different deep were applied to test the accuracy efficiency obtained automatic sign recog...

Current Arabic lexicons, whether computational or otherwise, make no distinction between entries from Modern Standard Arabic (MSA) and Classical Arabic (CA), and tend to include obsolete words that are not attested in current usage. We address this problem by building a large-scale, corpus-based lexical database that is representative of MSA. We use an MSA corpus of 1,089,111,204 words, a pre-a...

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 ...

In order to construct a generic grammatical resource for Arabic language, we have chosen to develop an Arabic grammar based on TAG formalism. Our choice is, especially, justified by complementarities that we have noticed between Arabic syntax and this grammatical formalism. This paper consists of two comparative studies. The first is between a set of unification grammars. The second is between ...

linguistic/cultural differences of learners’ native language with english as a foreign language, gender and english proficiency level are among those numerous variables which affect english learning and its quality in iranian context. the present study was an attempt to illuminate the effects of these variables on performing integrative approach of general english tests (cloze test and recall t...

This paper describes an architecture to provide multilingual support for an exam Web environment with an emphasis on Arabic localization (or Arabization). Developing software products for populations with different cultures is a two-step process: internationalization followed by localization. Proper Arabization is particularly complex with many interesting challenges. In this context, we develo...

Language Engineering, including Information Retrieval, Machine Translation and other Natural Language-related disciplines, is showing in recent years more interest in the Arabic language. Suitable resources for Arabic are becoming a vital necessity for the progress of this research. Until recently, only two Arabic corpora were commonly available for researchers: the AFP Arabic newswire from LDC...