Open Access   Article Go Back

Implementation of Sandhi Viccheda for Sanskrit Words/Sentences/Paragraphs

Bhagyashree Patil1 , Manoj Patil2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-9 , Page no. 355-360, Sep-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i9.355360

Online published on Sep 30, 2018

Copyright © Bhagyashree Patil, Manoj Patil . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Bhagyashree Patil, Manoj Patil, “Implementation of Sandhi Viccheda for Sanskrit Words/Sentences/Paragraphs,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.355-360, 2018.

MLA Style Citation: Bhagyashree Patil, Manoj Patil "Implementation of Sandhi Viccheda for Sanskrit Words/Sentences/Paragraphs." International Journal of Computer Sciences and Engineering 6.9 (2018): 355-360.

APA Style Citation: Bhagyashree Patil, Manoj Patil, (2018). Implementation of Sandhi Viccheda for Sanskrit Words/Sentences/Paragraphs. International Journal of Computer Sciences and Engineering, 6(9), 355-360.

BibTex Style Citation:
@article{Patil_2018,
author = {Bhagyashree Patil, Manoj Patil},
title = {Implementation of Sandhi Viccheda for Sanskrit Words/Sentences/Paragraphs},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2018},
volume = {6},
Issue = {9},
month = {9},
year = {2018},
issn = {2347-2693},
pages = {355-360},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2872},
doi = {https://doi.org/10.26438/ijcse/v6i9.355360}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i9.355360}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2872
TI - Implementation of Sandhi Viccheda for Sanskrit Words/Sentences/Paragraphs
T2 - International Journal of Computer Sciences and Engineering
AU - Bhagyashree Patil, Manoj Patil
PY - 2018
DA - 2018/09/30
PB - IJCSE, Indore, INDIA
SP - 355-360
IS - 9
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
592 375 downloads 264 downloads
  
  
           

Abstract

Sandhi is a technique in which joining of two or more words happens. Sandhi viccheda means splitting of word or sentences into its constituents. Languages like Hindi, Urdu, Marathi, Kannada, and Malayalam are used to implement the sandhi viccheda concept. Sanskrit is a language in which rules are used to form a word. These rules play an important role in sandhi viccheda process. So, to split the word or sentence rules are used in the system. As everyone knows BHAGWAT GEETA is a religious book which contains more complex words, sentences, which user can’t understand. The proposed system uses those words, sentences from BHAGWAT GEETA for splitting purpose. For this, rules of sandhi viccheda like (vowels, consonant, and visarga) are used. The representation of the splits is shown using the directed acyclic graph to get a number of possible outputs.

Key-Words / Index Term

Sandhi splitting, lexical analysis, rules, sandhi viccheda algorithm, DAG

References

[1] Rupali Deshmukh and Varunakshi Bhojane, “Building Vowel Sandhi Viccheda System for Sanskrit”, International Journal of Innovations and Advancement in Computer Science, Vol. 4, December 2015.
[2] Mrs. Namrata Tapaswi, Dr. Suresh Jain and Mrs. Vaishali Chourey, “Parsing Sanskrit Sentences Using Lexical Functional Grammar”, Proceedings of the International Conference on Systems and Informatics, IEEE, pp 2636-2640, 2012.
[3] Priyanka Gupta, Vishal Goyal, “Implementation of Rule-Based Algorithm for Sandhi-Viccheda of Compound Hindi Words”, IJCSI International Journal of Computer Science Issues, Vol. 3, 2009.
[4] Joshi Shripad S., “Sandhi Splitting of Marathi Compound Words”, International Journal on Advanced Computer Theory and Engineering (IJACTE), Vol. 2, no. 02, 2012.
[5] Latha R. Nair, S. David Peter, “Development of a Rule-Based Learning System for Splitting Compound Words in Malayalam Language”, Proceedings of the Recent Advances in Intelligent Computational Systems, IEEE, pp 751-755, 2011.
[6] Devadath V V, Litton J Kurisinkel, Dipti Misra Sharma, and Vasudeva Varma, “A Sandhi Splitter for Malayalam”, Proceedings of the 11th International Conference on Natural Language Processing, 2014.
[7] M. Rajani Shree, Sowmya Lakshmi, “A novel approach to Sandhi splitting at Character level for Kannada Language”, Proceedings of the 2016 International Conference on Computational Systems and Information Systems for Sustainable Solutions, IEEE, pp 17-20, 2016.
[8] Sachin Kumar, “Sandhi Splitter and Analyzer for Sanskrit”, With Special Reference to aC Sandhi, Special Centre for Sanskrit Studies, Jawaharlal Nehru University, New Delhi, 2007.
[9] Shubham Bhardwaj, Neelamadhav Gantayat, Nikhil Chaturvedi, Rahul Garg, Sumeet Agarwal, “SandhiKosh: A Benchmark Corpus for Evaluating Sanskrit Sandhi Tools”, Language Resources and Evaluation Conference, 2018.
[10] Amba Kulkarni, Sheetal Pokar and Devanand Shukl, “Designing a Constraint-Based Parser for Sanskrit”, Proceedings of the International Sanskrit Computational Linguistics Symposium, SpringerLink, vol. 6465, pp 70-90, 2010.
[11] Vaishali Gupta, Nisheeth Joshi, Iti Mathur, “Rule-Based Stemmer in Urdu”, Proceedings of the 2013 4th International Conference on Computer and Communication Technology, IEEE, pp 129-132, 2013.
[12] Anil Kumar, V.Sheebasudheer, Amba Kulkarni, “Sanskrit Compound Paraphrase Generator”, Proceedings of the ICON, 2009.
[13] Pawan Goyal, Vipul Arora, and Laxmidhar Behera, “Analysis of Sanskrit Text: parsing and Semantic Nets”, Springerlink, Proceedings of the Sanskrit Computational Linguistics, Vol. 5402, pp 200-218, 2009.
[14] Bhagyashree D. Patil and Manoj E. Patil, “A Review on Implementation of Sandhi Viccheda for Sanskrit Words”, Proceedings of the International Conference in ICGTETM, IJCRT, vol.5, no. 12, pp 489-493, December 2017.