Idiap NMT System for WAT 2019 Multimodal Translation Task
Shantipriya Parida, Ondřej Bojar, Petr Motlíček · 2019
This paper describes the Idiap submission to WAT 2019 for the English-Hindi Multi-Modal Translation Task.We have used the state-of-the-art Transformer model and utilized the IITB English-Hindi parallel corpus as an additional data source.Among the different tracks of the multimodal task, we have participated in the "Text-Only" track for the evaluation and challenge test sets.Our submission tops in its track among the competitors in terms of both automatic and manual evaluation.Based on automatic scores, our text-only submission also outperforms systems that consider visual information in the "multimodal translation" task.