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المؤلفZakraoui, Jezia
المؤلفAl Maadeed, Somaya
المؤلفAbou El-Seoud, Mohamed Samir
المؤلفAlja'am, Jihad M.
المؤلفSalah, Moutaz
تاريخ الإتاحة2023-02-23T09:13:03Z
تاريخ النشر2021
اسم المنشورACM International Conference Proceeding Series
المصدرScopus
معرّف المصادر الموحدhttp://dx.doi.org/10.1145/3512716.3512725
معرّف المصادر الموحدhttp://hdl.handle.net/10576/40320
الملخصEnriching the script of a story with visual aids is an effective approach for promoting language learning and literacy development for young children and learners. In this paper, we propose a new system, that can generate short Arabic stories with generated images that accurately represent the story, scene and context of the given input. We use a text generation technique with a text-to-image synthesis network and minimize the human intervention. We build a corpus of Arabic stories with vocabulary and visualizations. The obtained results with various generative models to create text-image contents show the effectiveness of the proposed approach. The system can be used in education and assist the instructors to build stories on different domains. It can be used in distance learning to deliver online tutorials during COVID-19.
راعي المشروعThis work was made possible by NPRP grant #10-0205-170346 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
اللغةen
الناشرAssociation for Computing Machinery
الموضوعCLIP
GAN
Story Understanding
Story visualization
Visual Language Learning
العنوانA Generative Approach to Enrich Arabic Story Text with Visual Aids
النوعConference Paper
الصفحات47-52
dc.accessType Abstract Only


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