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Insight of Various Pos Tagging Techniques for Hindi Language
Author(s) -
Nidhi Jain
Publication year - 2017
Publication title -
international journal of computer science engineering and information technology research
Language(s) - English
Resource type - Journals
eISSN - 2249-6831
pISSN - 2249-7943
DOI - 10.24247/ijcseitroct20173
Subject(s) - hindi , computer science , natural language processing , artificial intelligence , linguistics , philosophy
Natural language processing (NLP), is the process of extracting meaningful information from natural language. Part of speech (POS) tagging is considered as one of the important tools, for Natural language processing. Part of speech is a process of assigning a tag to every word in the sentences, as a particular part of speech, such as Noun, pronoun, adjective, verb, adverb, preposition, conjunction etc. Hindi is a natural language, so there is a need to perform natural language processing on Hindi sentence. This paper discussed a hybrid based approach, for POS tagging on Hindi corpus. This paper discussed a review of different Techniques, for Part of Speech tagging of Hindi language.

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