Before discussing the parameter estimation algorithms, recall from the introduction that one of the distinguishing features of our approach is that we build genre-specific resolvers.
for each genre of each language, we (1) learn the lexical probabilities from the corresponding training set; (2) obtain optimal parameter values Θ 1 and Θ 2 for the development set using parameter estimation algorithms 1 and 2 respectively; and (3) among Θ 1 and Θ 2 , take the one that yields better performance on the development set to be the final set of parameter estimates for the resolver.