Publication Type : Conference Paper
Publisher : 2017 International Conference on Intelligent Computing and Control
Source : 2017 International Conference on Intelligent Computing and Control (I2C2), IEEE (2018)
Url : https://ieeexplore.ieee.org/document/8321833
Keywords : CRFs (Conditional Random Fields), Hidden Markov model (HMM), POS (Part Of Speech), Support vector machine (SVM), TDIL (Technology Development for Indian Languages)
Campus : Mysuru
School : School of Arts and Sciences
Abstract : Parts of Speech tagging is consider as the second step in Natural Language Processing. In this paper we present Parts of Speech tagging and Chunking using Conditional Random Fields. We used Kannada corpus of 3000 sentences collected from newspaper. We train with 2500 sentences and tested with 500 sentences. The comparison between Machine output and Human tagging yield an accuracy of 96.86% in tagging and chunking. We propose the parsing model for Kannada sentences using Natural Language Tool Kit (NLTK). © 2017 IEEE.
Cite this Research Publication : Suraksha N. M., Reshma K., and M., S. Kumar K., “Part-of-speech tagging and parsing of Kannada text using Conditional Random Fields (CRFs)”, in 2017 International Conference on Intelligent Computing and Control (I2C2), 2018.