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Part of Speech Tagging Using Statistical Approach for Nepali Text
Authors: Archit Yajnik
Abstract:Part of Speech Tagging has always been a challenging task in the era of Natural Language Processing. This article presents POS tagging for Nepali text using Hidden Markov Model and Viterbi algorithm. From the Nepali text, annotated corpus training and testing data set are randomly separated. Both methods are employed on the data sets. Viterbi algorithm is found to be computationally faster and accurate as compared to HMM. The accuracy of 95.43% is achieved using Viterbi algorithm. Error analysis where the mismatches took place is elaborately discussed.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1339808Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1220
 Prajadip Sinha et al. Enhancing the Performance of Part of Speech tagging of Nepali language through Hybrid approach, International Journal of Emerging Technology and Advanced Engineering.2015 Vol 5(5).
 Tej Bahadur Shai et al. 2013. Support Vector Machines based Part of Speech Tagging for Nepali Text, International Journal of Computer Applications, May 2013, Vol: 70-No. 24, pp. 0975-8887.
 Antony P J et al. 2011.Parts of Speech Tagging for Indian Languages: A Literature Survey, International Journal of Computer Applications, 2011, Vol. 34(8), pp. 0975-8887.
 Akshar Bharati, Dipti Misra Sharma, Rajeev Sangal et al., (15th December, 2006), AnnCorra: Annotating Corpora, Guidelines for POS and Chunk Annotation for Indian Languages. Retrieved from http://researchweb.iiit.ac.in/~rashid.ahmedpg08/ilmtdocs/chunk-pos-ann-guidelines-15-Dec-06.pdf
 Ben Langmead. (n.d.) Hidden Markov Models. Retrieved from http://www.cs.jhu.edu/~langmea/resources/lecture_notes/hidden_markov_models.pdf
 A part-of-speech tagger for Nepali. (17th May 2006). Retrieved from http://www.lancaster.ac.uk/staff/hardiea/nepali/postag.php
 PAN Localization.(n.d.). Retrieved from http://www.panl10n.net/english /Outputs%20 Phase%202/CCs/ Nepal /MPP/Papers/2008/Report% 20on% 20Nepali%20Computational%20Grammar.pdf
 Chirag Patel et. al., Part-Of- Speech Tagging for Gujarati Using Conditional Random Fields, Proc. Of the IJCNLP-08 Workshop on NLP for Less Privileged Languages, 2008, pp.117-122.