Two New Models of Target Language Morphology in Translation

This proposal addresses the problem of translation into morphologically rich languages with two new models. In the first, we generate new word types that that are compositional translations of multiple source words (e.g., compounds in German) and augment existing translation models with these. In the second, we propose using automatically learned distributed representations of morphemes and their contexts instead of hand-engineered feature sets.