@inproceedings{kazi-etal-2016-mitll,
title = "The {MITLL}-{AFRL} {IWSLT} 2016 Systems",
author = "Kazi, Michaeel and
Salesky, Elizabeth and
Thompson, Brian and
Taylor, Jonathan and
Gwinnup, Jeremy and
Anderson, Timothy and
Erdmann, Grant and
Hansen, Eric and
Ore, Brian and
Young, Katherine and
Hutt, Michael",
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-1.21",
abstract = "This report summarizes the MITLL-AFRL MT and ASR systems and the experiments run during the 2016 IWSLT evaluation campaign. Building on lessons learned from previous years{'} results, we refine our ASR systems and examine the explosion of neural machine translation systems and techniques developed in the past year. We experiment with a variety of phrase-based, hierarchical and neural-network approaches in machine translation and utilize system combination to create a composite system with the best characteristics of all attempted MT approaches.",
}
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<title>Proceedings of the 13th International Conference on Spoken Language Translation</title>
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<abstract>This report summarizes the MITLL-AFRL MT and ASR systems and the experiments run during the 2016 IWSLT evaluation campaign. Building on lessons learned from previous years’ results, we refine our ASR systems and examine the explosion of neural machine translation systems and techniques developed in the past year. We experiment with a variety of phrase-based, hierarchical and neural-network approaches in machine translation and utilize system combination to create a composite system with the best characteristics of all attempted MT approaches.</abstract>
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<date>2016-dec 8-9</date>
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%0 Conference Proceedings
%T The MITLL-AFRL IWSLT 2016 Systems
%A Kazi, Michaeel
%A Salesky, Elizabeth
%A Thompson, Brian
%A Taylor, Jonathan
%A Gwinnup, Jeremy
%A Anderson, Timothy
%A Erdmann, Grant
%A Hansen, Eric
%A Ore, Brian
%A Young, Katherine
%A Hutt, Michael
%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 kazi-etal-2016-mitll
%X This report summarizes the MITLL-AFRL MT and ASR systems and the experiments run during the 2016 IWSLT evaluation campaign. Building on lessons learned from previous years’ results, we refine our ASR systems and examine the explosion of neural machine translation systems and techniques developed in the past year. We experiment with a variety of phrase-based, hierarchical and neural-network approaches in machine translation and utilize system combination to create a composite system with the best characteristics of all attempted MT approaches.
%U https://aclanthology.org/2016.iwslt-1.21
Markdown (Informal)
[The MITLL-AFRL IWSLT 2016 Systems](https://aclanthology.org/2016.iwslt-1.21) (Kazi et al., IWSLT 2016)
ACL
- Michaeel Kazi, Elizabeth Salesky, Brian Thompson, Jonathan Taylor, Jeremy Gwinnup, Timothy Anderson, Grant Erdmann, Eric Hansen, Brian Ore, Katherine Young, and Michael Hutt. 2016. The MITLL-AFRL IWSLT 2016 Systems. In Proceedings of the 13th International Conference on Spoken Language Translation, Seattle, Washington D.C. International Workshop on Spoken Language Translation.