Mining Association Rules Based Approach to Word Sense Disambiguation for Hindi Language
Preeti Yadav, Sandeep Kumar Vishwakarma · 2013
These days, the language is making hindrances in the advantages of Information Technology revolution in India. So, there is the need of the adequate measures to perform natural language processing (NLP) through computer processing so that computer based system can be interacted by users through natural language like Hindi. This paper presents a new Word Sense Disambiguation method associated with mining association rules. This method can mine the association rules between the sense of the ambiguous word and its context using its various senses present in the Hindi WordNet. The sense of the ambiguous word assigned by choosing the sense which the most association rules refer. In this paper, we are concerned with association rule mining for word sense disambiguation for Hindi language and finding the correct sense for given Hindi word. We explore the multiple meanings of Hindi word with the help of Hindi Word net prepared by IIT Bombay. The experiment result shows that the method has high precision.