Findings of the third shared task on multimodal machine translation
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Findings of the third shared task on multimodal machine translation. / Barrault, Loic; Bougares, Fethi; Specia, Lucia; Lala, Chiraag; Elliott, Desmond; Frank, Stella.
Third Conference on Machine Translation, Proceedings. Bind 2 Association for Computational Linguistics, 2018. s. 308-327.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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TY - GEN
T1 - Findings of the third shared task on multimodal machine translation
AU - Barrault, Loic
AU - Bougares, Fethi
AU - Specia, Lucia
AU - Lala, Chiraag
AU - Elliott, Desmond
AU - Frank, Stella
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
M3 - Article in proceedings
SN - 978-1-948087-81-0
VL - 2
SP - 308
EP - 327
BT - Third Conference on Machine Translation, Proceedings
PB - Association for Computational Linguistics
T2 - Third Conference on Machine Translation
Y2 - 31 October 2018 through 1 November 2018
ER -
ID: 230797318