Non-linear Learning for Statistical Machine Translation
Table 2: BLEU4 in percentage on different training criteria (”BR”, ”BW” and ”PW” refer to experiments with ”Best v.s. Rest”, ”Best v.s. Worst” and ”Pairwise” training criteria, respectively. ”BRc” indicates generate hypothesis pairs from n-best set of current iteration only presented in Section 4.3.
['Criteria', 'MT03(train)', 'MT02(dev)', 'MT04', 'MT05']
As the result suggested, with the weighted combination of hypothesis pairs from previous iterations, the performance improves significantly on both test sets.