2. The method of claim 1 , wherein the estimating of the parameters comprises: learning a function which maps values of at least one parameter of the translation scoring function to the computed measures of similarity for the comparative domains; and where the learned function indicates a correlation between the at least one parameter and the computed measures of similarity, estimating the at least one parameter for the target domain based on the learned function.
2. The method of claim 1 , wherein the estimating of the parameters comprises: learning a function which maps values of at least one parameter of the translation scoring function to the computed measures of similarity for the comparative domains; and where the learned function indicates a correlation between the at least one parameter and the computed measures of similarity, estimating the at least one parameter for the target domain based on the learned function. 4. The method of claim 2 , wherein when a predefined correlation is not found, estimating the at least one parameter for the translation scoring function based on the corresponding at least one parameter of one of the comparative domains that has a computed similarity with the respective comparative domain multi-model which is closest to the computed similarity with the target domain multi-model.