The purpose of the study was to lower the annotation cost for supervised WSD, as suggested earlier by Resnik and Yarowsky (1999).
this result is also encouraging for the integration of WSD in SMT, since it suggests that accurate WSD can be achieved using training data of the kind needed for SMT.