Drem: The AFRL Submission to the WMT15 Tuning Task
نویسندگان
چکیده
We define a new algorithm, named “Drem”, for tuning the weighted linear model in a statistical machine translation system. Drem has two major innovations. First, it uses scaled derivative-free trust-region optimization rather than other methods’ line search or (sub)gradient approximations. Second, it interpolates the decoder output, using information about which decodes produced which translations.
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