We thus estimate the value of P (h i |W, S) empirically from the Hindi sense marked corpus by making the following independence assumption: The rationale behind the above independence assumption becomes clear if we represent words and synsets using the Bayesian network of Figure 1.
here, the hindi word h i and the Marathi word W Figure 1: Bayesian network formed by a synset S and the constituent hindi and Marathi words are considered to be derived from the same parent concept S. they represent two different manifestations-one in hindi and one in Marathi-of the same synset S. Given the above representation, it is easy to see that given the parent synset S, the hindi word h i is independent of the Marathi word W .