Knowledge engine for a Hindi text-to-scene generation system
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Priyanka Jain
Abstract
We have developed Preksha - a text-to-scene generation system for the Hindi language. Hindi is a morphologically rich free word order language. Preksha has three major engines: a language engine, a knowledge engine, and a scene engine. The input text is processed by the language engine using a rule-based approach with a layered contextual pre-parser and a language parser based on the tree-adjoining grammar formalism. The language engine transforms the input text into parsed derived trees represented in a language-independent Extensible Markup Language format. After a review of our earlier version of the language engine, this chapter mainly focuses on the knowledge engine of Preksha that takes these parsed trees as its input and generates output for further processing by the scene engine. The knowledge engine consists of a knowledge extraction module and a knowledge representation module. We introduce object visualization features which support these knowledge engine processes. An example of a scene having multiple objects with spatial relations generated using the knowledge engine is given.
Abstract
We have developed Preksha - a text-to-scene generation system for the Hindi language. Hindi is a morphologically rich free word order language. Preksha has three major engines: a language engine, a knowledge engine, and a scene engine. The input text is processed by the language engine using a rule-based approach with a layered contextual pre-parser and a language parser based on the tree-adjoining grammar formalism. The language engine transforms the input text into parsed derived trees represented in a language-independent Extensible Markup Language format. After a review of our earlier version of the language engine, this chapter mainly focuses on the knowledge engine of Preksha that takes these parsed trees as its input and generates output for further processing by the scene engine. The knowledge engine consists of a knowledge extraction module and a knowledge representation module. We introduce object visualization features which support these knowledge engine processes. An example of a scene having multiple objects with spatial relations generated using the knowledge engine is given.
Chapters in this book
- Frontmatter I
- Contents V
- Knowledge engineering for industrial expert systems 1
- Machine learning integrated blockchain model for Industry 4.0 smart applications 13
- Prototyping the expectancy disconfirmation theory model for quality service delivery in federal university libraries in Nigeria 26
- Design of chatbot using natural language processing 60
- Algorithm development based on an integrated approach for identifying cause and effect relationships between different factors 80
- Risk analysis and management in projects 96
- Assessing and managing risks in smart computing applications 122
- COVID-19 visualization and exploratory data analysis 145
- Business intelligence and decision support systems: business applications in the modern information system era 156
- Business intelligence implementation in different organizational setup evidence from reviewed literatures 173
- Conceptualization of a modern digital-driven health-care management information system (HMIS) 187
- Knowledge engine for a Hindi text-to-scene generation system 201
- Index 229
Chapters in this book
- Frontmatter I
- Contents V
- Knowledge engineering for industrial expert systems 1
- Machine learning integrated blockchain model for Industry 4.0 smart applications 13
- Prototyping the expectancy disconfirmation theory model for quality service delivery in federal university libraries in Nigeria 26
- Design of chatbot using natural language processing 60
- Algorithm development based on an integrated approach for identifying cause and effect relationships between different factors 80
- Risk analysis and management in projects 96
- Assessing and managing risks in smart computing applications 122
- COVID-19 visualization and exploratory data analysis 145
- Business intelligence and decision support systems: business applications in the modern information system era 156
- Business intelligence implementation in different organizational setup evidence from reviewed literatures 173
- Conceptualization of a modern digital-driven health-care management information system (HMIS) 187
- Knowledge engine for a Hindi text-to-scene generation system 201
- Index 229
