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Articles

POS tagger model for Kannada text with CRF++ and deep learning approaches

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References

  • Ketan Kumar Todi, Pruthwik Mishra and Dipti Misra, “Building a Kannada POSTagger Using Machine Learning and Neural Network Models”, August 2018, arXiv:1808.03175.
  • Pallavi, Dr. Anitha S Pillai, “Parts Of Speech (POS) Tagger for Kannada Using Conditional Random Fields (CRFs)”, August 2015, DOI: 10.1007/978-81-322-2553-9_43.
  • Ajeeth Ram Pathak, Manjusha Pandey and Siddharth, “Empirical Evaluation of deep learning models for sentiment analysis”, June 2019, DOI:10.1080/09720510.2019.1609554.
  • Shambhavi B R, Ramakanth Kumar P, “Kannada Part-Of-Speech Tagging with Probabilistic Classifiers”, International Journal of Computer Applications (0975 – 888) Volume 48– No.17, June 2012.
  • Shriya Atmakuri, Bhavya Shahi, Ashwath Rao B and Muralikrishna SN, “A comparison of features for POS tagging in Kannada”, International Journal of Engineering & Technology, 2018, DOI: 10.14419/ijet.v7i4.14900
  • Bertus van Rooy and Lande Schafer, “The effect of Learner errors on POS tag errors during automatic POS tagging”, Nov 2009, DOI:10.2989/16073610209486319.
  • Data set - http://ildc.in/Kannada/Kindex.aspx

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