Sanskrit text recognition and translation
Abstract & Details
Research Area
Computer Engineering
Keywords
Sanskrit text recognition
ml
ai
text recognition
translation
Abstract
Vedic Sanskrit texts are wonderful supply of
information concerning Science, arithmetic,
Hindu mythology, Indian civilization, and
culture. It's necessary to access the texts
simply, to share this data with the soil and to
facilitate any analysis of those ancient texts.
Throughout this study we are going to analyze
the spread of ways and challenges concerning
the ways for recognizing the character of the
Indic and Nagari script. The popularity of Indic
texts is advanced compared to different
language scripts. However, many researchers
have provided totally different solutions for
Indic character recognition additionally, the
popularity of Indic texts language texts still
presents some different challenges for
researchers. This analysis provides variety of
solutions to the Indic and Nagari script texts to
acknowledge malpractice in some ways though
industrial and operational accuracy has not
been accomplished. So our objective of this
survey is to support Indic and Nagari character
recognition to make a degreed-related style
develop an academic degree of economic
recognition system for writing spiritual Indic
text within the future within the same approach
as a scientific style to assist and generate direct
access to those papers. Indic, to share this data.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Shubham Dhere | Zeal College of Engineering and Research |
| 2 | Ambar dhanave | Zeal College of Engineering and Research |
| 3 | Mahadev Mastud | Zeal College of Engineering and Research |
| 4 | Rohit Karne | Zeal College of Engineering and Research |
| 5 | Dipali Pawar | Zeal College of Engineering and Research |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Dhere, Shubham, dhanave, Ambar, Mastud, Mahadev, Karne, Rohit, & Pawar, Dipali (2023). Sanskrit text recognition and translation. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 3129-3135.
MLA Style
Dhere, Shubham, et al. "Sanskrit text recognition and translation." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 3129-3135.
IEEE Style
Shubham Dhere, Ambar dhanave, Mahadev Mastud, Rohit Karne, and Dipali Pawar, "Sanskrit text recognition and translation," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 3129-3135, 2023.
Vancouver Style
Dhere Shubham, dhanave Ambar, Mastud Mahadev, Karne Rohit, Pawar Dipali. Sanskrit text recognition and translation. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):3129-3135.
Harvard Style
Dhere, Shubham, dhanave, Ambar, Mastud, Mahadev, Karne, Rohit, & Pawar, Dipali (2023) 'Sanskrit text recognition and translation', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 3129-3135.
Chicago Style
Dhere, Shubham, et al. "Sanskrit text recognition and translation." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 3129-3135.
Turabian Style
Dhere, Shubham, et al. "Sanskrit text recognition and translation." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 3129-3135.
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