CONSTRAINT BASED NLP ENGINE

Abstract

Visual representations are always better than narrations in accordance to children, for better understanding. This is quite advantageous in learning school lessons and it eventually helps in engaging the children and enhancing their imaginative skills. Using natural language processing techniques and along the computer graphics it is possible to bridge the gap between these two individual fields, it will not only eliminate the existing manual labor involved instead it can also give rise to efficient and effective system frameworks that can form a foundation for complex applications. In this paper we present an architecture to design for a NLP engine that can be used for 3D scene generation, the input would be in textual form that would be processed by each module of the natural language processing (NLP) engine. This text would be restricted in terms of the constraint based grammar (CBG), eliminating the maximum occurrence of any ambiguity and easing the noun fragmentation process. Eventually, the output of the NLP engine would be a sentence that fulfills the custom grammatical rules.