Abstract
Automatically generating animation from natural language text finds application in a number of areas e.g. movie script writing, instructional videos, and public safety. However, translating natural language text into animation is a challenging task. Existing text-to-animation systems can handle only very simple sentences, which limits their applications. In this paper, we develop a text-to-animation system which is capable of handling complex sentences. We achieve this by introducing a text simplification step into the process. Building on an existing animation generation system for screenwriting, we create a robust NLP pipeline to extract information from screenplays and map them to the system’s knowledge base. We develop a set of linguistic transformation rules that simplify complex sentences. Information extracted from the simplified sentences is used to generate a rough storyboard and video depicting the text. Our sentence simplification module outperforms existing systems in terms of BLEU and SARI metrics.We further evaluated our system via a user study: 68% participants believe that our system generates reasonable animation from input screenplays. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000393920Publication status
publishedExternal links
Book title
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)Pages / Article No.
Publisher
Association for Computational LinguisticsEvent
Organisational unit
03420 - Gross, Markus / Gross, Markus
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ETH Bibliography
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