CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks
Table 2: Results of experiments with the multimodal translation task on the validation data. At the time of the submission, the models were not tuned as well as our final models. The first six system are targeted for the translation task. They were trained against one reference – a German translation of one English caption. The last four systems are target to the cross-lingual captioning task. They were trained with 5 independent German captions (5 times bigger data).
['system', 'Multimodal translation BLEU', 'Multimodal translation METEOR', 'Cross-lingual captioning BLEU', 'Cross-lingual captioning METEOR']
Sample outputs of our multimodal translation (MMMT) system and cross-lingual captioning (CLC) system in comparison with phrase-based MT and the reference. Our system significantly improved since the competition submission, therefore we report both the performance of the current system and of the submitted systems.