Kannada Part-Of-Speech Tagging with Probabilistic Classifiers

@inproceedings{ShambhaviB2012KannadaPT,
  title={Kannada Part-Of-Speech Tagging with Probabilistic Classifiers},
  author={R ShambhaviB and Ramakanth Kumar},
  year={2012}
}
Part-Of-Speech (POS) tagging is defined as the Natural Language Processing (NLP) task in which each word in a sentence is labeled with a tag indicating its appropriate part of speech. Of the entire supervised machine learning classification algorithms, second order Hidden Markov Model (HMM) and Conditional Random Fields (CRF) is chosen in this work for POS tagging of Kannada language. Training data includes 51,269 words and test data consists of around 2932 tokens. Both set being disjoint and… CONTINUE READING

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