Volume : VII, Issue : IV, April - 2018

PARTS OF SPEECH TAGGING FOR HINDI LANGUAGES USING HMM

Rajesh Kumar, Sayar Singh Shekhawat

Abstract :

This paper describes the Part of Speech (POS) tagging for Indian Languages “HINDI”.Part of Speech tagging is the one of the most basic problems of Natural language processing NLP.Part of speech (POS) tagging is the process of assigning the part of speech tag or other lexical class marker to each and every word in a sentence.  A lot of POS tagging work has been done by the researchers for various languages using different approaches HMM (Hidden Marcov Model), SVM(Support Vector Machine), ME (Maximum Entropy). HMM approaches concerned for POS tagging of sentences written in Hindi languages are discussed in this paper. This paper also discussed a hyid based approach, for tagging hindi language.

Keywords :

Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

Rajesh Kumar, Sayar Singh Shekhawat, PARTS OF SPEECH TAGGING FOR HINDI LANGUAGES USING HMM, INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH : Volume-7 | Issue-4 | April-2018

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