Titlebook: Arabic Language Processing: From Theory to Practice; 6th International Co Abdelmonaime Lachkar,Karim Bouzoubaa,Abdelhak Lekh Conference pro

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Erzeugung von Atom- und Ionenstrahleneat difficulty when a large amount of speech and written corpus is available. However, these technological resources are not available in a large part of languages called “Less Resourced Languages”. An alternative solution is to take advantage of the phonetic structures shared between the different

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Erzeugung von Krankheiten des Skelets,, we propose a computer-based game with a purpose (GWAP) for speech therapy of Egyptian speaking children suffering from Dyslalia. Our aim is to detect if a certain phoneme is pronounced correctly. An Egyptian Arabic speech corpus has been collected. A baseline acoustic model was trained using the E

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https://doi.org/10.1007/978-3-662-25817-0of the classification, when used with various stemming methods and classifiers. An experimental Arabic ATC system was developed and the effects of its main components on the classification accuracy are assessed. Firstly, variants of the standard Bag-of-Words model with different stemming methods are

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Handbook of Experimental Pharmacology. In this paper, we focus on sentiment analysis for Arabic language. Most of the previous works use machine learning techniques combined with hand engineering features to do Arabic sentiment analysis (ASA). More recently, Deep Neural Networks (DNNs) were widely used for this task especially for Engl

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Piero P. Foà,T. Adesanya Ige Grillo century, automatic text summarization has seen a great interest especially in English language. However, in Arabic language, few works have been done in this field. This paper intends to survey the most relevant approaches in Arabic text summarization, giving special emphasis to extractive techniqu