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Reseach Article

Identification and Separation of Complex Sentences from Punjabi Language

by Navneet Kaur, Kamaldeep Garg, Sanjeev Kumar Sharma
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
  1. Poornima C, Dhanalakshmi V, Anand Kumar M and Soman K P (2011) "Rule based Sentence Simplification for English to Tamil Machine Translation System", International Journal of Computer Applications (0975 – 8887)Volume 25– No. 8.
  2. Zhemin Zhu, Delphine Bernhard and Iryna Gurevych 2010. "A Monolingual Tree based Translation Model for Sentence Simplification", Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010).
  3. Ani Thomas, M K Kowar, Sanjay Sharma. and H R Sharma. (2011) "Extracting Noun Phrases in Subject and Object Roles for Exploring Text Semantics", International Journal on Computer Science and Engineering (IJCSE) vol-3.
  4. Akshar Bharati, Dipti Misra Sharma, Sukhada (2009) Adapting Link Grammar Parser (LGP) to Paninian Framework Mapping of Parser Relations for Indian Languages', National Seminar on Computer Science and its Applications in Traditional Shastras (CSATS'09).
  5. Katsuhito Sudoh et al. 2010. "Divide and Translate:Improving Long Distance Reordering in Statistical Machine translation".
  6. Kamaljeet Kaur Batra and G S Lehal "Rule Based Machine Translation of Noun Phrases from Punjabi to English".
  7. Naushad UzZaman, Jeffrey P. Bigham and James F. Allen (2011) "Multimodal Summarization of Complex Sentences", IUI 2011, February pp. 13-16.
  8. Amitabha Mukerjee, Ankit Soni and Achla M Raina(2006) "Detecting Complex Predicates in Hindi using POS Projection across Parallel Corpora".
  9. Daraksha Parveen, Ratna Sanyal and Afreen Ansari (2011) "Clause Boundary Identification using Classifier and Clause Markers in Urdu Language".
  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.
  11. "Introduction to Punjabi Grammer" InternetSource: http://punjabi. aglsoft. com/punjabi/learngrammar/
Index Terms

Computer Science
Information Sciences

Keywords

Identification Separation