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AuthorZakraoui, Jezia
AuthorAl Maadeed, Somaya
AuthorAbou El-Seoud, Mohamed Samir
AuthorAlja'am, Jihad M.
AuthorSalah, Moutaz
Available date2023-02-23T09:13:03Z
Publication Date2021
Publication NameACM International Conference Proceeding Series
ResourceScopus
URIhttp://dx.doi.org/10.1145/3512716.3512725
URIhttp://hdl.handle.net/10576/40320
AbstractEnriching 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.
SponsorThis 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.
Languageen
PublisherAssociation for Computing Machinery
SubjectCLIP
GAN
Story Understanding
Story visualization
Visual Language Learning
TitleA Generative Approach to Enrich Arabic Story Text with Visual Aids
TypeConference Paper
Pagination47-52
dc.accessType Abstract Only


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