Optimized Word Sense Disambiguation in Hindi using Genetic Algorithm
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2013, Vol 2, Issue 7
Abstract
Word Sense Disambiguation (WSD) is a problem of computationally determining which “sense” of a word is activated by the use of the word in particular context. Genetic Algorithm is used to figure out the appropriate meanings of polysemous nouns in the given context. To our knowledge this is the first attempt of using Genetic Algorithm for Hindi language. The work is to devise a Genetic Algorithm incorporating Elitism within it. Wordnet for Hindi developed at IIT Bombay, a lexical knowledge base for Hindi, is used. The main focus is on removing the ambiguity of the sense using the context by applying Genetic Algorithm. The work is implemented on Netbeans 7.3. The obtained results show the optimized disambiguation of the Hindi words.
Authors and Affiliations
Sabnam Kumari, Dr. Paramjit Singh
Keywords
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