Research Article
Sentence Boundary Detection in Kannada Language
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 39 - Issue 9 |
| Published: February 2012 |
| Authors: Deepamala. N, Ramakanth Kumar. P |
10.5120/4852-7124
|
Deepamala. N, Ramakanth Kumar. P . Sentence Boundary Detection in Kannada Language. International Journal of Computer Applications. 39, 9 (February 2012), 38-41. DOI=10.5120/4852-7124
@article{ 10.5120/4852-7124,
author = { Deepamala. N,Ramakanth Kumar. P },
title = { Sentence Boundary Detection in Kannada Language },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 39 },
number = { 9 },
pages = { 38-41 },
doi = { 10.5120/4852-7124 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Deepamala. N
%A Ramakanth Kumar. P
%T Sentence Boundary Detection in Kannada Language%T
%J International Journal of Computer Applications
%V 39
%N 9
%P 38-41
%R 10.5120/4852-7124
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Sentence Boundary Detection is a pre-processing step for any Natural Language Processing application. Various algorithms have been used to achieve Sentence Boundary Detection or Disambiguation in different languages. In this paper, a rule based method is proposed and tested to achieve Sentence Boundary Detection for Kannada Language. Kannada being a grammatically rich Indian language is analyzed based on semantics and tested with a 227K bytes corpus. The code is written in C using wide characters, with support for Unicode. Results showed 99.2% success in detecting sentence boundary.
References
- Manning, C.D. and. Schütze., H. 2002. Foundations of statistical natural language processing. The MIT Press, London.
- J. Reynar, and Ratnaparkhi. A. 1997. A Maximum Entropy Approach to Identifying Sentence Boundaries, in Proceedings of the Fifth Conference on Applied Natural Language Processing, Washington D.C, pp. 16-19.
- Palmer, D.D. and Hearst, M.A..1997. Adaptive multilingual sentence boundary disambiguation. Computational Linguistics 23 241–267
- Mikheev, A. 2000. Tagging Sentence Boundaries. In: Proceedings of the NAACL, Seattle, pp 264-271.
- T. Kiss and Strunk, J. 2006. Unsupervised multilingual sentence boundary detection. Computational Linguistics, 32(4):485–525.
- Walker, Daniel J., David E. Clements, Maki, Darwin and Jan, W. Amtrup. 2001. Sentence boundary detection: a comparison of paradigms for improving MT quality. In: Proceedings of the MT Summit VIII, Santiago de Compostela, Spain.
- Akita, Y. 2006. Sentence Boundary Detection of Spontaneous Japanese Using Statistical Language Model and Support Vector Machines. In: Proceedings of. Interspeech-ICSLP, Pittsburgh, PA.
- Singh, Preetam, Negi, Rauthan M.M.S and Dhami, H.S. 2010. Sentence Boundary Disambiguation: a User Friendly Approach. IJCA. Vol, 7-No.8.
- Mona Parakh, Rajesha N. and Ramya M. 2011. Sentence Boundary Disambiguation in Kannada Texts, Language in India. www.languageinindia.com. 11:5 May 2011 Special Volume: Problems of Parsing in Indian Languages, pp. 17- 19.
- Gillick, D. 2009. Sentence Boundary Detection and the Problem with the U.S. In: Proceedings of the NAACL HLT: Short Papers, Boulder, Colorado.
- Agarwal N., Ford K., and Shneider M., Sentence Boundary Detection using a MaxEnt Classifier. citeseerx.ist.psu.edu
- Wang H. and Huang Y. 2003. Bondec - A sentence Boundary Detector. CS224N Project, Stanford, 2003
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