1 Once Upon a Time... For years, the standard way to do statistical machine translation parameter tuning has been to use minimum error-rate training, or MERT (Och, 2003).
as researchers started using models with thousands of parameters, new scalable optimization algorithms such as MIRA (Watanabe et al., 2007;Chiang et al., 2008) and PRO (Hopkins and May, 2011) have emerged.