Advancing Morphological Analyser for Kannada Using NLP and Machine Learning Approaches

Abstract

The Morphological analysis tool recognizes and investigates the structure of the words given internally and provides the syntactical and morphological info related to words given as input. The Kannada language is morphologically much richer, inflectional and agglutinative dialect. Constructing the better placed morphological analysis tool for Kannada language is much challenging work. In this work, the Natural Language Processing is discussed to investigate the nouns and verbal words of the language. The Morphological analysis tool is for Kannada verbs and nouns is developed using machine learning approaches and presented the results using various types of eight input data sets. The analyser discussed is constructed making use of regulation-dependent, stripping of suffix based and paradigm-dependent methodologies.