International Journal of Computational Linguistics Research Prathibha, R J, Padma, M C 7 4 2016 http://www.dline.info/jcl/fulltext/v7n4/jclv7n4_3.pdf Morphological analyzer is a tool which extracts morphological features and grammatical categories associated with the given inflectional word. Kannada is an inflectional and morphologically rich language. This paper presents the design of morphological analyzer for Kannada inflectional words using affix-stripping, rule-based, paradigm-based and questionnaire-based approaches. The proposed model comprises of text normalizer, morphological stemmer, morphological analyzer and a module for semi-automatic insertion of lexical details of unanalyzed words into Kannada monolingual lexicon. The performance of proposed model is tested on 7 different data sets that are manually created by collecting Kannada text from government official circular documents Kannada newspapers, legal documents and news from All India Radio. The experimental result shows that the accuracy of proposed model on these 7 different data sets is around 90%.