Named Entity Recognition is an important application area of Natural Language Processing. It is the process of identifying the designators which are present in a sentence called as named entities. Named Entity Recognition can be performed using rule based approaches, machine learning based approaches and hybrid approaches. This paper proposes a method for Named Entity Recognition of Malayalam language using one of the supervised machine learning approach called Conditional Random field approach.

Named Entity Recognition is the technique of identifying named entities which are present in documents like names of persons, percentage values, organization names, locations etc. Named Entity Recognition is used for information extraction. There are different approaches for performing the process of named entity recognition. This paper makes a comparative study of different approaches for named entity recognition applied to English and Hindi language corpus. This study is conducted with a view to extend the work and developing an efficient method for named entity recognition in Malayalam language. Keywords-Named entities, maximum entropy based models, conditional random field based models, support vector machinesI.

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