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CATEGORIZATION OF NAMED ENTITIES IN INDIAN LANGUAGES USING HIDDEN MARKOV MODEL

Named Entity Recognition (NER) is the task in which proper nouns in a given document are discovered and then categorized into respective classes. The various classes of proper nouns may be name of location, name of person, Organization, River, Quantity, Time, Percentage etc. Today, there is a great need to perform NER in the Indian Languages, since not much work has been done in the field of Information retrieval in the Indian languages. In this paper, we have tried to explain NER, different approaches of NER and finally some results of NER in natural languages.