Part of speech Tagging in Manipuri with Hidden Markov Model
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.
Keywords: Part of Speech Tagging, Tokenization, Affix, Stochastic, Hidden Markov Model
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ABOUT THE AUTHORS
Kh Raju Singha
Kh Raju Singha is a Ph.D. student in the Department of Computer Science, Assam University, Silchar.
Bipul Syam Purkayastha
Bipul Syam Purkayastha is working as a Professor in the Department of Computer Science, Assam University, Silchar. He is a member of IEEE and ACM journal.
Kh Dhiren Singha
Kh Dhiren Singha is working as an Associate Professor in the Department of Linguistics, Assam University, Silchar. He is a member of the Linguistic Society of India and International journal of Dravidian Linguistics.
Kh Raju Singha
Kh Raju Singha is a Ph.D. student in the Department of Computer Science, Assam University, Silchar.
Bipul Syam Purkayastha
Bipul Syam Purkayastha is working as a Professor in the Department of Computer Science, Assam University, Silchar. He is a member of IEEE and ACM journal.
Kh Dhiren Singha
Kh Dhiren Singha is working as an Associate Professor in the Department of Linguistics, Assam University, Silchar. He is a member of the Linguistic Society of India and International journal of Dravidian Linguistics.
