Mining Association Rules Based Approach to Word Sense Disambiguation for Hindi Language

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. Keywords--Word Sense Disambiguation, WSD Approaches, Hindi WordNet, Mining assosiation rules. I. WORD SENSE DISAMBIGUATION In natural language processing, word sense disambiguation (WSD) is the problem of determining which "sense" (meaning) of a word is activated by the use of the word in a particular context, a process which appears to be largely unconscious in people. WSD is to make the computer automatically choose the correct meaning of each word, and it is still the biggest problem at vocabulary level in NLP. Words can have different senses. Some words have multiple meanings called Polysemy.[1] Word sense disambiguation (WSD) is the problem of determining in which sense a word having a number of distinct senses is used in a given sentence. Take example, Ambiguity for Humans and Computers: Ambiguity for Humans e.g. भहिरा एक छाता के साथ आदभी को भाया. (भहिरा एक छाता उऩमोग कयके आदभी को भाया मा वि एक आदभी जो एक छाता रे जा यिा िै उसे भाया) Ambiguity for computer in their day to day communication e.g.[2] आभ आभ आदभी की ऩरयधध से फािय िै (मिॉ आभ के दो भतरफ िै् पर औय साभान्म आदभी)