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Review Article

JCR. 2020; 7(4): 255-258


RULE BASED KANNADA NAMED ENTITY RECOGNITION

M. Pushpalatha, Antony Selvadoss Thanamani.

Abstract
The Objective of this research is to determine the names of individuals in Kannada text documents. The Kannada text document includes various Named Entities like Name of a person, Place, Organization, Designation and various other entities shall be determined from it. The method divides the collection of Kannada sentences into different sentences in the pre-processing stage, then dividing the sentence into different words in the second stage of pre-processing. Further, the words are annotated and then the rule based feature extraction is done to recognize the Kannada Named Entities. The multi-class SVM classification is employed to determine the Kannada Named Entities. The Rule based approach focuses on identifying the names of a person by applying the rules formulated, place, and designation of a person has been identified by recognizing the names then the word prior to the names has been considered as a designation of a person. The Rule based Kannada Named Entity Recognition recognizes the various words of the Kannada text document. It has yielded a good results of 89.32% from a proposed Rule based Kannada Named Entity Recognition.

Key words: Pre-processing, Rule based Approach, Multi-Class SVM Classification, Named Entity Recognition.


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