Abstract
Computational linguistic began more than sixty years ago. The development of unambiguous knowledge representation systems for processing natural language is more fascinating and challenging task. As a being structured and word-order free language, Sanskrit seems to be a good solution. Maharshi Panini laid foundation of complete Sanskrit grammar in his book Ashtadhyayi. One of the four components of Ashtadhyayi is dhAtupatha—the verbal roots. There are more than 2000 verbal roots with sub-classification and diacritic markers encoding their morphological and syntactic properties. The usage of dhAtupatha gives significant contribution in knowledge representation. The work mainly focuses on the development of NLP grammar for parsing Sanskrit words and derives the meaning of unknown words using Paninian concept of dhAtupatha.
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Acknowledgements
I would like to express my heart full gratitude to the department of computer engineering for providing continues support as an when needed. In addition, I also express sincere and heartfelt thanks to Dr. Madhav Gopal, JNU, Delhi for providing support in basic understating of Sanskrit language.
Last but not the least, I would like to thank Ms. Kinjal Mistree, Assistant Professor, C.G. Patel Institute of Technology and Mr. Ishank Sharma, Research Assistant, IIT-Delhi for providing necessary and fundamental knowledge about natural language processing tools and their working.
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Panchal, B., Bakrola, V., Dabhi, D. (2018). An Efficient Approach of Knowledge Representation Using Paninian Rules of Sanskrit Grammar. In: Sa, P., Bakshi, S., Hatzilygeroudis, I., Sahoo, M. (eds) Recent Findings in Intelligent Computing Techniques . Advances in Intelligent Systems and Computing, vol 709. Springer, Singapore. https://doi.org/10.1007/978-981-10-8633-5_21
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DOI: https://doi.org/10.1007/978-981-10-8633-5_21
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