A native Arabic eLearning mobile application to transpose Arabic text to illustrations

Mobile eLearning are capable to avail children in improving learning capabilities, self-consciousness living, and profession growth. They can inspire the perfection of eLearning with the diverse subservient smart handled devices. Most available software applications that are attainable by children are done without taking in consideration their needs and specific deficiency. We have investigated Arabic mobile educational system that presents illustrations automatically to characterize content of Arabic stories for children. In order to display these illustrations, different sections have been implemented which comprise: the processing of natural Arabic language, applying semantic queries on expanded multi-domain educational ontology, word-to-word based relationship extraction, and querying different online search-engines. The fundamental destination of our proposed work is to improve children educational skills which include observation, comprehension, realization, and deduction.