In this regard, our own previous work demonstrated a potential step in the right direction by suggesting that incorporating the output from running WSD as contextual features in a maxent-based transfer model results in a slight improvement in the quality of machine translation (Neale et al., 2015).
to two other approaches we had experimented with -'projecting' word senses into source language input sentences prior to translation either by completely replacing source language lemmas with synset identifiers or appending those synset identifiers onto the source language lemmas -we showed that the reported gains were possible without having to reformulate the word senses themselves nor the algorithms used to retrieve them, as most of the successful marriages of WSD and machine translation reported in the literature had resorted to.