@inproceedings{barrault-etal-2018-findings,
title = "Findings of the Third Shared Task on Multimodal Machine Translation",
author = {Barrault, Lo{\"\i}c and
Bougares, Fethi and
Specia, Lucia and
Lala, Chiraag and
Elliott, Desmond and
Frank, Stella},
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/W18-6402",
doi = "10.18653/v1/W18-6402",
pages = "304--323",
abstract = "We present the results from the third shared task on multimodal machine translation. In this task a source sentence in English is supplemented by an image and participating systems are required to generate a translation for such a sentence into German, French or Czech. The image can be used in addition to (or instead of) the source sentence. This year the task was extended with a third target language (Czech) and a new test set. In addition, a variant of this task was introduced with its own test set where the source sentence is given in multiple languages: English, French and German, and participating systems are required to generate a translation in Czech. Seven teams submitted 45 different systems to the two variants of the task. Compared to last year, the performance of the multimodal submissions improved, but text-only systems remain competitive.",
}
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%0 Conference Proceedings
%T Findings of the Third Shared Task on Multimodal Machine Translation
%A Barrault, Loïc
%A Bougares, Fethi
%A Specia, Lucia
%A Lala, Chiraag
%A Elliott, Desmond
%A Frank, Stella
%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 barrault-etal-2018-findings
%X We present the results from the third shared task on multimodal machine translation. In this task a source sentence in English is supplemented by an image and participating systems are required to generate a translation for such a sentence into German, French or Czech. The image can be used in addition to (or instead of) the source sentence. This year the task was extended with a third target language (Czech) and a new test set. In addition, a variant of this task was introduced with its own test set where the source sentence is given in multiple languages: English, French and German, and participating systems are required to generate a translation in Czech. Seven teams submitted 45 different systems to the two variants of the task. Compared to last year, the performance of the multimodal submissions improved, but text-only systems remain competitive.
%R 10.18653/v1/W18-6402
%U https://aclanthology.org/W18-6402
%U https://doi.org/10.18653/v1/W18-6402
%P 304-323
Markdown (Informal)
[Findings of the Third Shared Task on Multimodal Machine Translation](https://aclanthology.org/W18-6402) (Barrault et al., 2018)
ACL