@inproceedings{lala-etal-2018-sheffield,
title = "{S}heffield Submissions for {WMT}18 Multimodal Translation Shared Task",
author = "Lala, Chiraag and
Madhyastha, Pranava Swaroop and
Scarton, Carolina and
Specia, Lucia",
booktitle = "Proceedings of the Third Conference on Machine Translation: Shared Task Papers",
month = oct,
year = "2018",
address = "Belgium, Brussels",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-6442",
doi = "10.18653/v1/W18-6442",
pages = "624--631",
abstract = "This paper describes the University of Sheffield{'}s submissions to the WMT18 Multimodal Machine Translation shared task. We participated in both tasks 1 and 1b. For task 1, we build on a standard sequence to sequence attention-based neural machine translation system (NMT) and investigate the utility of multimodal re-ranking approaches. More specifically, n-best translation candidates from this system are re-ranked using novel multimodal cross-lingual word sense disambiguation models. For task 1b, we explore three approaches: (i) re-ranking based on cross-lingual word sense disambiguation (as for task 1), (ii) re-ranking based on consensus of NMT n-best lists from German-Czech, French-Czech and English-Czech systems, and (iii) data augmentation by generating English source data through machine translation from French to English and from German to English followed by hypothesis selection using a multimodal-reranker.",
}
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%0 Conference Proceedings
%T Sheffield Submissions for WMT18 Multimodal Translation Shared Task
%A Lala, Chiraag
%A Madhyastha, Pranava Swaroop
%A Scarton, Carolina
%A Specia, Lucia
%S Proceedings of the Third Conference on Machine Translation: Shared Task Papers
%D 2018
%8 oct
%I Association for Computational Linguistics
%C Belgium, Brussels
%F lala-etal-2018-sheffield
%X This paper describes the University of Sheffield’s submissions to the WMT18 Multimodal Machine Translation shared task. We participated in both tasks 1 and 1b. For task 1, we build on a standard sequence to sequence attention-based neural machine translation system (NMT) and investigate the utility of multimodal re-ranking approaches. More specifically, n-best translation candidates from this system are re-ranked using novel multimodal cross-lingual word sense disambiguation models. For task 1b, we explore three approaches: (i) re-ranking based on cross-lingual word sense disambiguation (as for task 1), (ii) re-ranking based on consensus of NMT n-best lists from German-Czech, French-Czech and English-Czech systems, and (iii) data augmentation by generating English source data through machine translation from French to English and from German to English followed by hypothesis selection using a multimodal-reranker.
%R 10.18653/v1/W18-6442
%U https://aclanthology.org/W18-6442
%U https://doi.org/10.18653/v1/W18-6442
%P 624-631
Markdown (Informal)
[Sheffield Submissions for WMT18 Multimodal Translation Shared Task](https://aclanthology.org/W18-6442) (Lala et al., 2018)
ACL