Will the identification of reduplicated multiword expression (RMWE) improve the performance of SVM based manipuri POS tagging?

Authors:
Kishorjit Nongmeikapam;Aribam Umananda Sharma;Laishram Martina Devi;Nepoleon Keisam;Khangengbam Dilip Singh;Sivaji Bandyaopadhyay
Affiliations:
Department. of Computer Science and Engg., Manipur Institute of Technology, Manipur University, Imphal, India;Department. of Computer Science and Engg., Manipur Institute of Technology, Manipur University, Imphal, India;Department. of Computer Science and Engg., Manipur Institute of Technology, Manipur University, Imphal, India;Department. of Computer Science and Engg., Manipur Institute of Technology, Manipur University, Imphal, India;Department. of Computer Science and Engg., Manipur Institute of Technology, Manipur University, Imphal, India;Department. of Computer Science and Engg., Jadavpur University, Kolkata, India
Venue:
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Year:
2012

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Abstract

Reduplicated Multiword Expressions (RMWEs) are abundant in Manipuri, the highly agglutinative India language. The Part of Speech (POS) tagging of Manipuri using Support Vector Machine (SVM) has been developed and evaluated. The POS tagger has been updated with identified RMWEs as another feature. The performance of the SVM based POS tagger before and after adding RMWE as a feature have been compared. The SVM based POS tagger has been evaluated with the F-Score of 77.67% which has increased to 79.61% with RMWE as an additional feature. Thus the performance the POS tagger has improved after adding RMWE as an additional feature.