Open AccessKannada word sense disambiguation by finding the overlaps between the concepts
Author(s) -
B. Kumar,
M. Siddappa,
Jeena J. Prakash
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.6.10565
Subject(s) - wordnet , kannada , computer science , natural language processing , word sense disambiguation , artificial intelligence , word (group theory) , lexical database , adaptation (eye) , semantic similarity , linguistics , psychology , neuroscience , philosophy
We propose three approaches for disambiguating the Kannada word based on an adaptation of dictionary-based Lesk’s word sense disambiguation technique. Instead of making use of the regular dictionary as the repository of glosses, we used Indo – WordNet lexical database as the source of senses. Here we adopt a current method of measuring semantic relatedness between the concepts of the Kannada words taken from Indo – WordNet. This measure is dependent on identifying and counting the number of common words present between the glosses of a pair of concepts in accordance with Indo – WordNet.