@inproceedings{junczys-dowmunt-birch-2016-university,
title = "The {U}niversity of {E}dinburgh{'}s systems submission to the {MT} task at {IWSLT}",
author = "Junczys-Dowmunt, Marcin and
Birch, Alexandra",
editor = {Cettolo, Mauro and
Niehues, Jan and
St{\"u}ker, Sebastian and
Bentivogli, Luisa and
Cattoni, Rolando and
Federico, Marcello},
booktitle = "Proceedings of the 13th International Conference on Spoken Language Translation",
month = dec # " 8-9",
year = "2016",
address = "Seattle, Washington D.C",
publisher = "International Workshop on Spoken Language Translation",
url = "https://aclanthology.org/2016.iwslt-1.26",
abstract = "This paper describes the submission of the University of Edinburgh team to the IWSLT MT task for TED talks. We took part in four translation directions, en-de, de-en, en-fr, and fr-en. The models have been trained with an attentional encoder-decoder model using Nematus, training data filtering and back-translation have been applied for domain-adaptation purposes.",
}
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<abstract>This paper describes the submission of the University of Edinburgh team to the IWSLT MT task for TED talks. We took part in four translation directions, en-de, de-en, en-fr, and fr-en. The models have been trained with an attentional encoder-decoder model using Nematus, training data filtering and back-translation have been applied for domain-adaptation purposes.</abstract>
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%0 Conference Proceedings
%T The University of Edinburgh’s systems submission to the MT task at IWSLT
%A Junczys-Dowmunt, Marcin
%A Birch, Alexandra
%Y Cettolo, Mauro
%Y Niehues, Jan
%Y Stüker, Sebastian
%Y Bentivogli, Luisa
%Y Cattoni, Rolando
%Y Federico, Marcello
%S Proceedings of the 13th International Conference on Spoken Language Translation
%D 2016
%8 dec 8 9
%I International Workshop on Spoken Language Translation
%C Seattle, Washington D.C
%F junczys-dowmunt-birch-2016-university
%X This paper describes the submission of the University of Edinburgh team to the IWSLT MT task for TED talks. We took part in four translation directions, en-de, de-en, en-fr, and fr-en. The models have been trained with an attentional encoder-decoder model using Nematus, training data filtering and back-translation have been applied for domain-adaptation purposes.
%U https://aclanthology.org/2016.iwslt-1.26
Markdown (Informal)
[The University of Edinburgh’s systems submission to the MT task at IWSLT](https://aclanthology.org/2016.iwslt-1.26) (Junczys-Dowmunt & Birch, IWSLT 2016)
ACL