The MeMAD Submission to the WMT18 Multimodal Translation Task

Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Merialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphael Troncy, Raúl Vázquez


Abstract
This paper describes the MeMAD project entry to the WMT Multimodal Machine Translation Shared Task. We propose adapting the Transformer neural machine translation (NMT) architecture to a multi-modal setting. In this paper, we also describe the preliminary experiments with text-only translation systems leading us up to this choice. We have the top scoring system for both English-to-German and English-to-French, according to the automatic metrics for flickr18. Our experiments show that the effect of the visual features in our system is small. Our largest gains come from the quality of the underlying text-only NMT system. We find that appropriate use of additional data is effective.
Anthology ID:
W18-6439
Volume:
Proceedings of the Third Conference on Machine Translation: Shared Task Papers
Month:
October
Year:
2018
Address:
Belgium, Brussels
Venues:
EMNLP | WMT | WS
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
603–611
Language:
URL:
https://aclanthology.org/W18-6439
DOI:
10.18653/v1/W18-6439
Bibkey:
Cite (ACL):
Stig-Arne Grönroos, Benoit Huet, Mikko Kurimo, Jorma Laaksonen, Bernard Merialdo, Phu Pham, Mats Sjöberg, Umut Sulubacak, Jörg Tiedemann, Raphael Troncy, and Raúl Vázquez. 2018. The MeMAD Submission to the WMT18 Multimodal Translation Task. In Proceedings of the Third Conference on Machine Translation: Shared Task Papers, pages 603–611, Belgium, Brussels. Association for Computational Linguistics.
Cite (Informal):
The MeMAD Submission to the WMT18 Multimodal Translation Task (Grönroos et al., 2018)
Copy Citation:
PDF:
https://aclanthology.org/W18-6439.pdf
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