This paper aims to fill these gaps by applying various class-based LM techniques to the challenging problem of translating into a morphologically rich language.
we focus on English-Russian, a language pair for which a fair amount of both parallel data and monolingual data has been provided by the Workshop of Machine Translation (Bojar et al., 2013).