Supervised Word Sense Disambiguation for Urdu Using Bayesian Classification

In almost all languages words usually have multiple senses or meanings. WSD (Word Sense Disambiguation) is a task of recognizing the correct sense of a word in a particular context. Identifying correct sense of an ambiguous word becomes very vital when a language is needed to be translated into another language or information is needed to be extracted using ambiguous words. There is a massive work in English and other languages for resolving word ambiguity. So far as Urdu is concerned there is not any cited work for resolving ambiguity of words. In this paper a statistical approach i.e. “Bayesian Classification” is applied for resolving this peculiar type of lexical ambiguity, called Word Sense Disambiguation, for some URDU words.