Log-linear Combinations of Monolingual and BilingualNeural Machine Translation Models for Automatic Post-Editing
Table 2: Results on provided development set. Best-performing models have been chosen based on this development set. Systems marked with ∗ have weights tuned on the same development set.
['System', 'TER', 'BLEU']
Models for ensembling are selected among the periodically saved parameter dumps of one training run. An ensemble mt→pe×4 consisting of the four best models shows only modest improvements over the single model. The same development set has been used to select the best-performing models, results may therefore be slightly skewed.