Ensemble Sequence Level Training for Multimodal MT: OSU-Baidu WMT18 Multimodal Machine Translation System Report
Table 7: BLEU scores on validation set for task 1B
['[EMPTY]', 'En-Cs', 'Fr-Cs', 'De-Cs', '(En+Fr+De)-Cs']
En-Cs, Fr-Cs, De-Cs are models trained from one language to another. (En+Fr+De)-Cs models are trained using multiple source data. Similar to the Shuffle method discussed in multi-reference training Zheng et al. Since we do BPE on the whole training data, we can share the vocabulary of different languages during training. The results show that models trained using single English to Czech data perform much better than the rest.