Development of Morphological Stemmer Analyzer and

Authors: M C Padma R J Prathibha

Publish Date: 2014

Volume: , Issue: , Pages: 713-723

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Abstract

Kannada is an inflectional and morphologically rich language Developing a wellfledged morphological stemmer analyzer and generator MSAG model for Kannada is a challenging task In any natural language processing applications there is a great demand for MSAG model In this paper a hybrid MSAG model is proposed as a part of machine translation system from Kannada to any other language This model is developed using suffixstripping rulebased and paradigmbased approaches The performance of this model is tested against a set of nouns randomly taken from a wellknown dictionary called “Kannada Rathna Kosha” 1

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