Hindi Word Sense Disambiguation Using Lesk Approach on Bigram and Trigram Words
Word Sense Disambiguation (WSD) is a vital task which provides the definition of particular words according to their sense or according to given context. Lesk algorithm is originally based on the gloss overlap that can be observed as the measure, semantics relatedness. Lesk algorithm is used to find the correct sense of ambiguous words. In India, the Hindi language is widely used for communication both in verbal and scripting. In this, research paper the Lesk Approach is applied for finding bigrams and trigrams words sentences written in the Hindi language, which contains the verb words as the polysemy words. Manually 15 words of the verb are used which are ambiguous in nature from Hindi Wordnet. These verb words on evaluation, provide the overall average precision of bigram words as 52.98% and trigram words as 37.04% and an overall average recall of bigram word as 33.17% and trigram words as 18.56%