CFP last date
20 January 2025
Reseach Article

POS Tagging Approaches: A Comparison

by Deepika Kumawat, Vinesh Jain
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 6
Year of Publication: 2015
Authors: Deepika Kumawat, Vinesh Jain
10.5120/20752-3148

Deepika Kumawat, Vinesh Jain . POS Tagging Approaches: A Comparison. International Journal of Computer Applications. 118, 6 ( May 2015), 32-38. DOI=10.5120/20752-3148

@article{ 10.5120/20752-3148,
author = { Deepika Kumawat, Vinesh Jain },
title = { POS Tagging Approaches: A Comparison },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 6 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number6/20752-3148/ },
doi = { 10.5120/20752-3148 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:00:59.347086+05:30
%A Deepika Kumawat
%A Vinesh Jain
%T POS Tagging Approaches: A Comparison
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 6
%P 32-38
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Part of speech (POS) cataloguing is the process of allocating the part of speech tag or other philological class sign to each and every word in a sentence. In many Natural Language Processing presentations such as word intellect disambiguation, information recovery, information handling, analyzing, interrogating, and machine interpretation, POS tagging is reflected as the one of the basic obligatory tool. Categorizing the uncertainties in language philological items is the puzzling objective in the procedure of emerging an effectual and correct POS Tagger. Works survey displays that, for Indian lingoes, POS taggers were established only in Hindi, Punjabi, Bengali and Dravidian languages. Some POS taggers were also established generic to the Hindi, Telugu and Bengali tongues. All scheduled POS taggers were grounded on diverse Tag-set, established by diverse organization and individuals. This paper speaks the various developments in POS-taggers and POS-tag-set for Indian language, which is very essential computational verbal tool needed for many natural language processing (NLP) presentation [15].

References
  1. Jyoti Singh, Nisheeth Joshi, Iti Mathure, "Development of Marathi Part of Speech Tagger Using Statistical Approch"
  2. Dhanalakshmi V, Anand Kumar1, Shivapratap G, Soman KP and Rajendran S, "Tamil POS Tagging using Linear Programming", International Journal of Recent Trends in Engineering, Vol. 1, No. 2, May 2009.
  3. Gurleen Kaur Sidhu, Navjot Kaur, "Role of Machine Translation and Word Sense Disambiguation in Natural Language Processing", IOSR Journal of Computer Engineering (IOSR-JCE), May. - Jun. 2013.
  4. Asif Ekbal and Shivaji Bandyopdhyay, (2008) "Web-based Bengali News Corpus for Lexicon Development and POS Tagging", In Proceeding of Language Resource and Evaluation.
  5. Siva Reddy, Serge Sharoff, (2011) "Cross Language POS Taggers (and other Tools) for Indian Languages: An Experiment with Kannada using Telugu Resources". In Proceeding of IJCNLP workshop on Cross Lingual Information Access: Computational Linguistics and the Information Need of Multilingual Societies.
  6. Dinesh Kumar and Gurpreet Singh Josan, (2010) "Part of Speech Tagger for Morphologically rich Indian Language: A survey". International Journal of Computer Application. Vol. 6(5).
  7. Singh Thoudam Doren and Bandyopadhyay Sivaji, (2008) "Morphology Driven Manipuri POS Tagger", Proceeding of Proceedings of the IJCNLP-08 Workshop on NLP for Less Privileged Languages, pages 91–98, Hyderabad, India.
  8. Nisheeth Joshi, Hemant Darbari, Iti Mathure, (2013) "HMM based Pos Tagger for Hindi". In Processing of 2013 International Conference on Artificial Intelligence and Soft Computing.
  9. Hasan Fahim Muhammad, Zaman Naushad Uz and Mumit Khan, (2007) "Comparison of Unigram, Bigram, HMM and Brill's POS Tagging Approaches for some South Asian Languages", In proceeding of Center for Research on Bangla Language Processing.
  10. Aniket Dalal, Nagraj Kumar, Uma Sawant, Sandeep Shelke and Pushpak Bhattacharyya, (2007) "Building Feature Rich POS Tagger for Morphologically Rich Languages: Experiences in Hindi". In Proceeding of International Conference on Natural Language Processing (ICON).
  11. Chirag Patel, Karthik Gali, (2008) "Part of Speech Tagging for Gujarati Using Conditional Random Feilds", In Proceeding of IJCNLP-08 Workshop on NLP for Less Privileged Language, pp 117-122.
  12. Mandeep Singh, Gurpreet Lehal, and shiv Sharma, (2009) "Part-of-Speech Tagging for Grammar Checking of Panjabi" in Proceeding of The Linguistics Journal Volume 4 Issue.
  13. Manju K, Soumya S, Idicul S. M. , (2009) "A Development of A POS Tagger for Malayalam – An Experience" In Proceeding of International Conference on Advance in Recent Technologies in Communication and Computing.
  14. Akshar Bharti, Dipti Misra Sharma, Lakshmi bai, Rajeev Sangal. AnnCorra: Annotating Corpora Guidelines for POS and Chunk with Annotation For Indian Languages , Language Technologies Research Centre IIT, Hyderabad.
  15. Antony P J, Amrita, Dr. K P Soman, "Parts Of Speech Tagging for Indian Languages: A Literature Survey", IJCA (0975-8887) Volume 34-no. 8, November 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Tag-set Ambiguity Trigram HMM NPL Tokenized Indian Languages.