Generating Scene Descriptor from Indonesian Narrative Text

Animation is one of media that are frequently used in the entertainment world. Production of animation starts from scripts which then used to create storyboards which in turn used to create animation scenes. This paper aims to find an automatic way to generate animation scenes from text input. No existing research has been conducted for generating animation automatically from Indonesian narrative text. As preliminary study, this paper focused on preprocessing component in automatic generating animation scenes from text input. Our system employs Constituency Parsing as the main Parsing technique, with supporting techniques such as Dependency Parsing and Word Embedding. Testing was conducted to the 420 narrative text datasets gained from Wattpad for Indonesian. The performance results show that this system can generate scene description from narrative text with F1 scores for object, object count, pose and relation are 0.9541, 0.8294, 0.8294 and 0.5216.