Abstract
Background: Sanskrit is claimed as the second oldest language of the world and in ancient days, Sanskrit was considered as mother tongue in the larger part of India. But now, it is struggling for its acceptance in common people.
Objective: Objective of the work is to develop algorithms for stemming of Sanskrit words, implement semantic analysis, discourse integration and pragmatic analysis. Another objective is to implement a translation tool that is able to translate Sanskrit text into Hindi.
Methods: Rule Based Method is used to prepare the corpora and implement the proposed work. Results: An interface is made available through which step by step translation can be seen and understood.
Conclusion: This tool will be helpful to those who are familiar in Hindi language but unable to learn Sanskrit due to the scarcity of language experts. More than 60 million people from India and abroad who are active Hindi users and work on computer, can get themselves connected with Sanskrit and also can learn the Sanskrit fundamentals by self.
Keywords: Machine translation, language translator, Sanskrit corpora, pragmatic analysis, discourse integration, semantic analysis, natural language translation.
Graphical Abstract