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A method to integrate word sense disambiguation and translation memory for english to hindi machine translation system

Rawat Sunita

Computer Assisted Methods in Engineering and Science

2022

Vol. 29, no. 1-2 spec.

125--144

Word sense disambiguation deals with deciding the word’s precise meaning in a certainspecific context. One of the major problems in natural language processing is lexical-semantic ambiguity, where a word has more than one meaning. Disambiguating the senseof polysemous words is the most important task in machine translation. This researchwork aims to design and implement English to Hindi machine translation. The designmethodology addresses improving the speed and accuracy of the machine translation process. The algorithm and modules designed in this research work have been deployed on theHadoop infrastructure, and test cases are designed to check the feasibility and reliabilityof this process. The research work presented describes the methodologies to reduce datatransmission by adding a translation memory component to the framework. The speed ofexecution is increased by replacing the modules in the machine translation process withlightweight modules, which reduces infrastructure and execution time.