Ensemble Sequence Level Training for Multimodal MT: OSU-Baidu WMT18 Multimodal Machine Translation System Report
Table 2: BLEU scores of different approaches on the validation set. Details of the ensemble models are described in Table 9.
['[EMPTY]', 'En-De', 'En-Fr', 'En-Cs']
To study the performance of different approaches, we conduct an ablation study. Generally, models with scheduled sampling perform better than baseline models, and reinforcement learning further improves the performance. Ensemble models lead to substantial improvements over the best single model by about +2 to +3 BLEU scores. However, by including image information, MNMT performs better than NMT only on the En-Fr task with scheduled sampling.