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Identification and Separation of Complex Sentences from Punjabi Language

by Navneet Kaur, Kamaldeep Garg, Sanjeev Kumar Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 13
Year of Publication: 2013
Authors: Navneet Kaur, Kamaldeep Garg, Sanjeev Kumar Sharma
10.5120/11902-7976

Navneet Kaur, Kamaldeep Garg, Sanjeev Kumar Sharma . Identification and Separation of Complex Sentences from Punjabi Language. International Journal of Computer Applications. 69, 13 ( May 2013), 21-24. DOI=10.5120/11902-7976

@article{ 10.5120/11902-7976,
author = { Navneet Kaur, Kamaldeep Garg, Sanjeev Kumar Sharma },
title = { Identification and Separation of Complex Sentences from Punjabi Language },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 13 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 21-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number13/11902-7976/ },
doi = { 10.5120/11902-7976 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:30:09.529141+05:30
%A Navneet Kaur
%A Kamaldeep Garg
%A Sanjeev Kumar Sharma
%T Identification and Separation of Complex Sentences from Punjabi Language
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 13
%P 21-24
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Complex sentences constitute major parts of the Punjabi language. All the large sentences are either of compound or of complex type. Detail analysis of complex sentences is helpful in processing the Punjabi language through computer. This study will be helpful in identifying and separating the complex sentences from Punjabi corpus. Also this study will be helpful in developing other NLP applications like converting a complex sentence in simple sentences, grammar checking of complex sentences, summarization and machine translation etc.

References
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  10. Mrs. M. Humera Khanam,Mr. Palli Suryachandra, Prof. K. V. MadhuMurthy "Dependency Parsing for Telugu", International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622,Vol. 1, Issue 4, pp. 1751-1754.
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Index Terms

Computer Science
Information Sciences

Keywords

Identification Separation

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