1. A method for estimating parameters for features of a translation scoring function for scoring candidate translations in a target domain comprising: receiving a source corpus for a target domain; generating a multi-model for the target domain based on a phrase table for each of a set of comparative domains and a measure of similarity between the source corpus for the target domain and the phrase tables for the comparative domains; for the target domain, computing a measure of similarity between the source corpus and the target domain multi-model; for each of a plurality of the comparative domains, computing a measure of similarity between a source corpus for the comparative domain and a respective comparative domain multi-model that is derived from phrase tables for others of the set of the comparative domains, each of the plurality of comparative domains being associated with parameters for at least some of the features of the translation scoring function; and estimating the parameters of the translation scoring function for the target domain based on the computed measure of similarity between the source corpus and the target domain multi-model, the computed measures of similarity for the comparative domains, and the parameters for the scoring function for the comparative domains, wherein at least one of the generating of the target domain multi-model, computing the measure of similarity between the source corpus and the target domain multi-model, computing the measure of similarity between a source corpus for the comparative domains and the respective comparative domain multi-models, and the estimating the parameters for the translation scoring function is performed with a computer processor.