National Seminar on Information Revolution and Indian Languages
Title: National Seminar on Information Revolution and Indian Languages
Research Question: How can Indian languages be integrated into the information revolution?
Methodology: The study used a national seminar format to bring together experts and scholars in the fields of information technology, linguistics, and education. The seminar discussed various aspects of the information revolution, including digital content, machine translation, speech recognition, optical character recognition, and search and knowledge organization. The participants also explored the affordability of computers, the status of Indian language content in electronic form, and the potential benefits of collaborative methods for creating digital content.
Results: The seminar highlighted the importance of integrating Indian languages into the information revolution. It was found that various technologies, such as digital content, machine translation, and speech recognition, could be used to make information more accessible in Indian languages. Additionally, the seminar discussed innovative solutions for making computers more affordable, such as shared computer usage and cost-effective technology choices. The participants also discussed the status of Indian language content in electronic form and how it could be improved.
Implications: The seminar's findings suggest that the information revolution can be made more inclusive by integrating Indian languages. By developing digital content in Indian languages and using collaborative methods to create this content, more people can benefit from the advantages of the information revolution, such as cost-effective reproduction, storage, and distribution of information. Furthermore, the seminar's focus on affordability highlights the importance of making technology accessible to a wider audience. By exploring innovative solutions for making computers more affordable, more people can participate in the information revolution and reap its benefits.
Link to Article: https://arxiv.org/abs/0308017v1 Authors: arXiv ID: 0308017v1