Other papers use margin methods such as MIRA (Watanabe et al., 2007;Chiang et al., 2008), updated somewhat to match the MT domain, to perform incremental training of potentially large numbers of features.
the global variable L stores hypotheses combination matrices, one matrix for each range of sentences (s, t) as shown in   where sent.-level costs E s,n := E(r s , e s,n ) output : optimal weight vectorŵ and its loss L 1 begin sort N -best lists by increasing losses: Fig.