Domain Adaptation for SMT Training a SMT system using diverse data requires domain adaptation.
machine translation uses inherently multilingual data: an SMT system must translate a phrase or sentence from a source language to a different target language, so existing applications of topic models (Eidelman et al., 2012) are wilfully ignoring available information on the target side that could aid domain discovery.