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Reseach Article

POS Tagging of Gujarati Text using VITERBI and SVM

by Manisha Prajapati, Archit Yajnik and
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 43
Year of Publication: 2019
Authors: Manisha Prajapati, Archit Yajnik and
10.5120/ijca2019918514

Manisha Prajapati, Archit Yajnik and . POS Tagging of Gujarati Text using VITERBI and SVM. International Journal of Computer Applications. 181, 43 ( Mar 2019), 32-35. DOI=10.5120/ijca2019918514

@article{ 10.5120/ijca2019918514,
author = { Manisha Prajapati, Archit Yajnik and },
title = { POS Tagging of Gujarati Text using VITERBI and SVM },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2019 },
volume = { 181 },
number = { 43 },
month = { Mar },
year = { 2019 },
issn = { 0975-8887 },
pages = { 32-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number43/30405-2019918514/ },
doi = { 10.5120/ijca2019918514 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:08:58.232834+05:30
%A Manisha Prajapati
%A Archit Yajnik and
%T POS Tagging of Gujarati Text using VITERBI and SVM
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 43
%P 32-35
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Grammatical feature (POS) Labeling is a testing undertaking to distinguish the significance of each word in a sentence. This paper shows the assignment of distinguishing Grammatical form TAG for each transform in a Guajarati sentence utilizing the system of support Vector Machine and Viterbi deciphering method. Guajarati corpus of 1700 words is taken and tried it precisely. Labeling is done utilizing Viterbi and SVM and the outcome is examined in four classifications. In every one of the classifications Viterbi based method gives much better correctness’s.

References
  1. Ȧ M. T. M. and Ḃ D. C. V., “Survey : Natural Language Parsing For Indian Languages,” 2015.
  2. R. Abstract, P. O. Speech, N. L. Processing, E. Schedule, I. Constitution, and I. Constitution, “Parts Of Speech Tagger for Maithili Language Using HMM,” vol. 7, no. 4, pp. 206–211, 2018.
  3. P. J. Antony and K. P. Soman, “KeP. J. Antony and K. P. Soman, ‘Kernel based part of speech tagger for Kannada,’ 2010 Int. Conf. Mach. Learn. Cybern. ICMLC 2010, vol. 4, no. July, pp. 2139–2144, 2010.rnel based part of speech tagger for Kannada,” 2010 Int. Conf. Mach. Learn. Cybern. ICMLC 2010, vol. 4, no. July, pp. 2139–2144, 2010.
  4. A. Bharati, M. Gupta, V. Yadav, K. Gali, and D. M. Sharma, “Simple parser for Indian languages in a dependency framework,” Proc. Third Linguist. Annot. Work., no. August, pp. 162–165, 2009.
  5. B. R. Das, S. Sahoo, C. S. Panda, and S. Patnaik, “Part of speech tagging in odia using support vector machine,” Procedia Comput. Sci., vol. 48, no. C, pp. 507–512, 2015.
  6. P. S. Dholakia and M. M. Yoonus, “Rule Based Approach for the Transition of Tagsets to Build the {POS} Annotated Corpus,” Int. {J}ournal {A}dvanced {R}esearch {C}omputer {C}ommunication {E}ngineering, vol. 3, no. 7, pp. 7417–7422, 2014.
  7. A. Ekbal and S. Bandyopadhyay, “Part of speech tagging in Bengali using Support vector Machine,” Proc. - 11th Int. Conf. Inf. Technol. ICIT 2008, pp. 106–111, 2008.
  8. S. Haykin, Neural Networks and Learning Machines, vol. 3. 2008.
  9. S. Journal and I. Factor, “International Journal of Advance Engineering and Research Development,” pp. 464–467, 2015.
  10. M. T. Makwana and D. C. Vegda, “Survey:Natural Language Parsing For Indian Languages.”
  11. G. Mcdonald and C. Macdonald, “A Study of SVM Kernel Functions for Sensitivity Classification Ensembles with POS Sequences,” no. June, pp. 7–11, 2017.
  12. A. Mukherjee, S. Kübler, and M. Scheutz, “POS Tagging Experts via Topic Modeling,” Proc. 13th Int. Conf. Nat. Lang. Process., pp. 120–128, 2016.
  13. A. Nietzio, “Support Vector Machines for Part-of-Speech Tagging,” pp. 5–8, 2002.
  14. K. Nongmeikapam, “Manipuri Chunking : An Incremental Model with POS and RMWE,” no. December, pp. 277–286, 2014.
  15. K. Nongmeikapam and S. Bandyopadhyay, “Genetic Algorithm (GA) Implementation for Feature Selection in Manipuri POS Tagging,” Proc. 13th Int. Conf. Nat. Lang. Process., no. December, pp. 267–274, 2016.
  16. C. Patel and K. Gali, “Part-Of-Speech Tagging for {G}ujarati Using Conditional Random Fields,” Proc. IJCNLP-08 Work. NLP Less Privil. Lang., no. January, pp. 117–122, 2008.
  17. B. Plank, “Natural Language Processing : Introduction to Syntactic Parsing,” 2012.
  18. T. B. Shahi, “Support Vector Machines based Part of Speech Tagging for Nepali Text,” vol. 70, no. 24, pp. 38–42, 2013.
  19. Manisha prajapati Yajnik Archit, “Part of Speech Tagging Using Statistical Approach for Gujrati Text,” vol. 11, no. 1, pp. 76–79, 2017.
  20. A. Yajnik, “Part of Speech Tagging Using Statistical Approach for Nepali Text,” vol. 11, no. 1, pp. 76–79, 2017.
  21. Shigeo Abe ,Yasuyuki Tajiri, Ryosuke Yabuwaki and Takuya Kitamura, “Feature extrction using SVM.” ICON NIP, pp. 1–8, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

SVM Tagged Corpus BISTag set Viterbi.