SVM based Manipuri POS tagging using SVM based identified reduplicated MWE (RMWE)

  • Authors:
  • Kishorjit Nongmeikapam;Sivaji Bandyopadhyay

  • Affiliations:
  • Manipur University, Imphal, India;Jadavpur University, Jadavpur, Kolkata, India

  • Venue:
  • Proceedings of the CUBE International Information Technology Conference
  • Year:
  • 2012

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Abstract

The Reduplicated Multiword Expression (RMWE) is identified using Support Vector Machine (SVM) and these identified RMWE is used as a feature for the SVM based POS tagging of Manipuri, which is a very highly agglutinative Indian Schedule Language. A common features approach for both RMWE identification and POS tagging is tried. Identification of RMWE using SVM shows the Recall of 86.11%, Precision of 92.08% and F-measure of 88.99%. The identified RMWE is used as a feature in the SVM based POS tagger which results with the Recall of 71.15%, Precision of 83.15% and F-measure of 76.68%.