Experiments on NIST Chinese-to-English translation tasks show that our local training method significantly gains over MERT, with the maximum improvements up to 2.0 BLEU, and its efficiency is comparable to that of the global training method.
it is inefficient since tuning requires iteratively decoding an entire development set, which is impractical for an online service.