Author(s):
Bhavana Narain, Ankit Kumar
Email(s):
narainbhawna@gmail.com , sfytechltd@gmail.com
DOI:
10.5958/2231-3915.2020.00012.7 
Address:
Dr. Bhavana Narain1, Ankit Kumar2
1Associate Professor, MSIT, MATS University, Raipur, Chhattisgarh.
2MCA Student, MATS University, Raipur, Chhattisgarh.
*Corresponding Author
Published In:
Volume - 10,
Issue - 1,
Year - 2020
ABSTRACT:
Nowadays, we can see how much computer technology has been enhanced. We can see a lot of machines are available to help us and make easier for our work daily. As an example, we all be aware that how Computers and machines are interfering and interacting with our work and us? The Robots work according to program or instructions given. We can understand the importance of optimizing, “Programmatically Solution” for any problem. In the Field of CSE (AI, ANN, ML, and NLP) the researchers are trying to create machines more advanced thus the Topic of “Talking Computer” is fired up nowadays. A lot of languages have been used to create it. Peoples have found a lot of problems with it. Then they tried with Sanskrit Grammar logics. It has a good grammars structure than other languages. The talking walking computer (ROBOTs) may be able to understand the problems of people when they talked to them. As normal two persons do conversation it is still difficult to how to train the machines like that. Sanskrit as a programming language and even it is not necessary for everyone to learn Sanskrit. In past years researchers paid their attention to the logic of Sanskrit grammar to seek a way to solve NLP issues. In Sanskrit, peoples can complete the sentence with specific words related to it. Sanskrit has unique words pronunciation of words. According to the research Sanskrit can be the best language to solve NLP understanding problems. It can be useful for the training of neural networks. Vedic mathematics is also in Sanskrit, and it is easy to solve numerical problems while putting logic in codes. In this paper we have studied Sanskrit language in contest to machine learning.
Cite this article:
Bhavana Narain, Ankit Kumar. Sanskrit Language in Contest to Machine Learning. Int. J. Tech. 2020; 10(1):62-66. doi: 10.5958/2231-3915.2020.00012.7
Cite(Electronic):
Bhavana Narain, Ankit Kumar. Sanskrit Language in Contest to Machine Learning. Int. J. Tech. 2020; 10(1):62-66. doi: 10.5958/2231-3915.2020.00012.7 Available on: https://ijtonline.com/AbstractView.aspx?PID=2020-10-1-12
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