Abstract
Various research works have tried to connect Natural Language Processing NLP to computer graphics, as this connection would lay the ground for an automatic generation of computer animations. In this research we aim to provide a novel approach for connecting graphics to NLP by using OpenNLP and the Unity 3D game engine. We rely on two linguistic approaches—Vendler’s verb classification and Jackendoff’s Lexical Conceptual Structure LCS—and present how the technology enablers and the linguistic approaches chosen collaborate to provide the animation generation capability. We describe the overall architecture of AUI Story Maker, a system built to illustrate the feasibility of our approach, and discuss the future work required to make it a reliable tool in a modern classroom setting. We also present some writing samples gathered during field work with 1st graders at Al Akhawayn School in Ifrane (ASI), and provide sample outputs of AUI Story Maker.
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Bouali, N., Cavalli-Sforza, V. (2018). AUI Story Maker: Animation Generation from Natural Language. In: Penstein Rosé, C., et al. Artificial Intelligence in Education. AIED 2018. Lecture Notes in Computer Science(), vol 10948. Springer, Cham. https://doi.org/10.1007/978-3-319-93846-2_79
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DOI: https://doi.org/10.1007/978-3-319-93846-2_79
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