Open Access   Article Go Back

Marking Clause Boundary in Compound Sentences of Punjabi Language

S. K. Sharma1

  1. Dept. of Computer Science and Applications, DAV University, Jalandhar, India.

Correspondence should be addressed to: sanju3916@rediffmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-9 , Page no. 84-88, Sep-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i9.8488

Online published on Sep 30, 2017

Copyright © S. K. Sharma . 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: S. K. Sharma, “Marking Clause Boundary in Compound Sentences of Punjabi Language,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.84-88, 2017.

MLA Style Citation: S. K. Sharma "Marking Clause Boundary in Compound Sentences of Punjabi Language." International Journal of Computer Sciences and Engineering 5.9 (2017): 84-88.

APA Style Citation: S. K. Sharma, (2017). Marking Clause Boundary in Compound Sentences of Punjabi Language. International Journal of Computer Sciences and Engineering, 5(9), 84-88.

BibTex Style Citation:
@article{Sharma_2017,
author = {S. K. Sharma},
title = {Marking Clause Boundary in Compound Sentences of Punjabi Language},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2017},
volume = {5},
Issue = {9},
month = {9},
year = {2017},
issn = {2347-2693},
pages = {84-88},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1435},
doi = {https://doi.org/10.26438/ijcse/v5i9.8488}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i9.8488}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1435
TI - Marking Clause Boundary in Compound Sentences of Punjabi Language
T2 - International Journal of Computer Sciences and Engineering
AU - S. K. Sharma
PY - 2017
DA - 2017/09/30
PB - IJCSE, Indore, INDIA
SP - 84-88
IS - 9
VL - 5
SN - 2347-2693
ER -

VIEWS PDF XML
701 537 downloads 309 downloads
  
  
           

Abstract

Clause boundary identification for compound sentences in Punjabi language is one of the basic necessity for processing of compound sentences. For grammar checking of compound sentences, it is necessary to identify the structure of various independent clauses present in compound sentence. Once the sentence is identified as compound sentence, the next step is to identify its pattern. After identification of patterns, various clauses present in the sentence are extracted as it is the basic step for performing grammar checking. In this paper, author has explored a technique to identify the clause boundaries present in compound sentence. This study will be helpful in identifying and separating the compound sentences from Punjabi language corpus. Also this study will be helpful in developing other Natural Language Processing (NLP) applications like simplification compound sentence in simple sentences, Improving Machine translation system and grammar checking of compound sentences.

Key-Words / Index Term

NLP, Compound Sentences, Independent clause, grammar checking

References

[1]. Sobha, L. D., & Lakshmi, S. Malayalam. 2013. Clause Boundary Identifier: Annotation and Evaluation. WSSANLP-2013, p. 83.
[2]. Kaur, N., Garg, K., Sharma, Sanjeev. Kumar. 2013. Identification and Separation of Complex Sentences from Punjabi Language. International Journal of Computer Applications, 69(13), pp. 21-24.
[3]. Sharma, Sanjeev Kumar ‘Assigning the Correct Word Class to Punjabi Unknown Words using CRF’ International Journal of Computer Applications (0975 – 8887) Volume 142 – No.2, May 2016
[4]. Brill, E. 1992. A simple rule-based part of speech tagger. In Proceedings of the workshop on Speech and Natural Language. Association for Computational Linguistics. pp. 112-116
[5]. Brill, E. 1993. Automatic grammar induction and parsing free text: A transformation-based approach. In Proceedings of the workshop on Human Language Technology. Association for Computational Linguistics. pp. 237242
[6]. Kasbon, R., Amran, N., Mazlan, E., & Mahamad, S. 2011. Malay language sentence checker. World Appl. Sci. J. (Special Issue on Computer Applications and Knowledge Management), 12, pp. 19-25.
[7]. Kubon V., & Platek, M. 1994. A grammar based approach to a grammar checking of free word order languages. In Proceedings of the 15th conference on Computational linguistics-Volume 2. Association for Computational Linguistics. pp. 906-910
[8]. Leffa, V. J. 1998. Clause processing in complex sentences. In Proceedings of the First International Conference on Language Resources and Evaluation Vol. 1, pp. 937-943.
[9]. Narula, R., & Sharma, S. K. 2014. Identification and Separation of Simple, Compound and Complex Sentences in Punjabi Language. International Journal of Computer Applications & Information Technology. Vol. 6, Issue II Aug- September 2014.
[10]. Orasan, C. 2000. A hybrid method for clause splitting in unrestricted English texts. Proceedings of ACIDCA` 2000
[11]. Parveen, D., Sanyal, R., & Ansari, A. 2011. Clause Boundary Identification using Classifier and Clause Markers in Urdu Language. Polibits Research Journal on Computer Science, 43, pp. 61-65.