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Part of speech Tagging in Manipuri with Hidden Markov Model

Keywords: Part of Speech Tagging , Tokenization , Affix , Stochastic , Hidden Markov Model , IJCSI

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Abstract:

Part of Speech tagging in Manipuri is a very complex task as Manipuri is highly agglutinating in nature. There is no enough tagged corpus for Manipuri which can be used in any statistical analysis of the language. In this tagging model we are using tagged output of the Manipuri rule-based tagger as tagged corpus. The present paper expounds the Part of Speech Tagging in Manipuri by applying a stochastic model called Hidden Markov Model.

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