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A Survey on Parts of Speech Tagging for Indian Languages

Published on August 2015 by Neetu Aggarwal, Amandeep Kaur Randhawa
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International Conference on Advancements in Engineering and Technology
Foundation of Computer Science USA
ICAET2015 - Number 3
August 2015
Authors: Neetu Aggarwal, Amandeep Kaur Randhawa
25656ab2-9e2e-4a55-9e58-e7e6edf92c8d

Neetu Aggarwal, Amandeep Kaur Randhawa . A Survey on Parts of Speech Tagging for Indian Languages. International Conference on Advancements in Engineering and Technology. ICAET2015, 3 (August 2015), 29-31.

@article{
author = { Neetu Aggarwal, Amandeep Kaur Randhawa },
title = { A Survey on Parts of Speech Tagging for Indian Languages },
journal = { International Conference on Advancements in Engineering and Technology },
issue_date = { August 2015 },
volume = { ICAET2015 },
number = { 3 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 29-31 },
numpages = 3,
url = { /proceedings/icaet2015/number3/22224-4046/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology
%A Neetu Aggarwal
%A Amandeep Kaur Randhawa
%T A Survey on Parts of Speech Tagging for Indian Languages
%J International Conference on Advancements in Engineering and Technology
%@ 0975-8887
%V ICAET2015
%N 3
%P 29-31
%D 2015
%I International Journal of Computer Applications
Abstract

This paper describes the survey on POS (Part of Speech) tagging for various Indian Languages. Various approaches concerned for POS tagging of sentences written in Indian languages are discussed in this paper . Indian Languages have rich morphological effect so a no. of problems occur while tagging the sentences written in various languages. A lot of POS tagging work has been done by the researchers for various languages using different approaches HMM( Hidden Marcov Model) , SVM (Support Vector Machine) , ME (Maximum Entropy) etc.

References
  1. Antony P J, Vidyapeetham A. V and Dr. Soman K P . 2011 "Parts Of Speech Tagging for Indian Languages: A Literature Survey" International Journal of Computer Applications (0975 – 8887) Volume 34– No. 8
  2. Aggarwal H, Anirudh Amni. 2006 "Part of Speech Tagging and Chunking with Conditional Random Fields" in the proceedings of NLPAI Contest
  3. Kanwar S. , Ravishankar, Sharma S. K. 2011 "POS of Punjabi language by Hidden Marcov Model" An International Journal of Engineering Sciences ISSN: 2229-6913 Issue Vol. 1.
  4. Patel C. and Gali K . 2008 "Part-Of-Speech Tagging for Gujarati Using Conditional Random Fields" Proceedings of the IJCNLP-08 Workshop on NLP for Less Privileged Languages, pages 117–122
  5. Mittal. S, Sethi N. S. and Sharma S. K. . 2014 "Part of Speech Tagging of Punjabi Language using N Gram Model" International Journal of Computer Applications (0975 – 8887) Volume 100– No. 19.
  6. Murthy K. N. and Badugu S. 2013A "New Approach to Tagging inIndian Languages" Research in Computing Science 70, pp. 45–56
  7. Hasan F. M. , UzZaman N, Khan M. 2006 "Comparison of Different POS Tagging Techniques (n-grams, HMM and Brill's Tagger) for Bangla", International Conference on Systems, Computing Sciences and Software Engineering (SCS2 06) of International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering (CIS2E 06)
  8. Garg N. ,Goyal V. and Preet S. (2012 ) "Rule Based Hindi Part of Speech Tagger" Proceedings of COLING : Demonstration Papers, pages 163–174.
  9. Kaur M. , Aggerwal M. and Sharma S. K. ( 2015 ) " Improving Punjabi Part of Speech Tagger by Using Reduced Tag Set" International Journal of Computer Applications & Information Technology Vol. 7, Issue II (ISSN: 2278-7720).
  10. Ratnaparkhi, Adwait. 1996. A maximum entropy model for part-of-speech tagging. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, University of Pennsylvania, pp. 133–142.
Index Terms

Computer Science
Information Sciences

Keywords

Natural Language Processing Part Of Speech Tagging Tagset Indian Languages