Spatial intelligence from hindi language text for scene generation

Earlier we have presented an outline of the architecture of Preksha - a Hindi text visualizer - system for visualizing Hindi text. Preksha is an automatic text visulizer (ATV) for free-word order Hindi language. It consists of a computational process of understanding natural language, and scene generation by appropriate placement of objects in visual output using spatial relations. This paper discusses the importance and complexity of spatial relations as well as prepositions in the automatic scene generation. We discuss on semantic and syntactic relations of prepositions with the support of Karaka theory. Hindi postpositions are explored with illustrative examples. The natural language processing (NLP) engine of Preksha is structured with a syntactic notation to support in ATV. Knowledge representation (KR) uses Object Attribute Relation (OAR) Model.