One possibility is to just apply the models tuned for the individual translation tasks, which is suboptimal.
we also introduce a global tuning approach, in which we generate k-best lists for the combined cascaded translation model and we tune corresponding end-to-end weights using MERT (Och, 2003) or PRO (Hopkins and May, 2011).