@inproceedings{lamel-etal-2011-speech,
title = "Speech recognition for machine translation in Quaero",
author = {Lamel, Lori and
Courcinous, Sandrine and
Despres, Julien and
Gauvain, Jean-Luc and
Josse, Yvan and
Kilgour, Kevin and
Kraft, Florian and
Le, Viet-Bac and
Ney, Hermann and
Nu{\ss}baum-Thom, Markus and
Oparin, Ilya and
Schlippe, Tim and
Schl{\"u}ter, Ralf and
Schultz, Tanja and
Fraga da Silva, Thiago and
St{\"u}ker, Sebastian and
Sundermeyer, Martin and
Vieru, Bianca and
Vu, Ngoc Thang and
Waibel, Alexander and
Woehrling, C{\'e}cile},
editor = {Federico, Marcello and
Hwang, Mei-Yuh and
R{\"o}dder, Margit and
St{\"u}ker, Sebastian},
booktitle = "Proceedings of the 8th International Workshop on Spoken Language Translation: Evaluation Campaign",
month = dec # " 8-9",
year = "2011",
address = "San Francisco, California",
url = "https://aclanthology.org/2011.iwslt-evaluation.16",
pages = "121--128",
abstract = "This paper describes the speech-to-text systems used to provide automatic transcriptions used in the Quaero 2010 evaluation of Machine Translation from speech. Quaero (www.quaero.org) is a large research and industrial innovation program focusing on technologies for automatic analysis and classification of multimedia and multilingual documents. The ASR transcript is the result of a Rover combination of systems from three teams ( KIT, RWTH, LIMSI+VR) for the French and German languages. The casesensitive word error rates (WER) of the combined systems were respectively 20.8{\%} and 18.1{\%} on the 2010 evaluation data, relative WER reductions of 14.6{\%} and 17.4{\%} respectively over the best component system.",
}
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<abstract>This paper describes the speech-to-text systems used to provide automatic transcriptions used in the Quaero 2010 evaluation of Machine Translation from speech. Quaero (www.quaero.org) is a large research and industrial innovation program focusing on technologies for automatic analysis and classification of multimedia and multilingual documents. The ASR transcript is the result of a Rover combination of systems from three teams ( KIT, RWTH, LIMSI+VR) for the French and German languages. The casesensitive word error rates (WER) of the combined systems were respectively 20.8% and 18.1% on the 2010 evaluation data, relative WER reductions of 14.6% and 17.4% respectively over the best component system.</abstract>
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%0 Conference Proceedings
%T Speech recognition for machine translation in Quaero
%A Lamel, Lori
%A Courcinous, Sandrine
%A Despres, Julien
%A Gauvain, Jean-Luc
%A Josse, Yvan
%A Kilgour, Kevin
%A Kraft, Florian
%A Le, Viet-Bac
%A Ney, Hermann
%A Nußbaum-Thom, Markus
%A Oparin, Ilya
%A Schlippe, Tim
%A Schlüter, Ralf
%A Schultz, Tanja
%A Fraga da Silva, Thiago
%A Stüker, Sebastian
%A Sundermeyer, Martin
%A Vieru, Bianca
%A Vu, Ngoc Thang
%A Waibel, Alexander
%A Woehrling, Cécile
%Y Federico, Marcello
%Y Hwang, Mei-Yuh
%Y Rödder, Margit
%Y Stüker, Sebastian
%S Proceedings of the 8th International Workshop on Spoken Language Translation: Evaluation Campaign
%D 2011
%8 dec 8 9
%C San Francisco, California
%F lamel-etal-2011-speech
%X This paper describes the speech-to-text systems used to provide automatic transcriptions used in the Quaero 2010 evaluation of Machine Translation from speech. Quaero (www.quaero.org) is a large research and industrial innovation program focusing on technologies for automatic analysis and classification of multimedia and multilingual documents. The ASR transcript is the result of a Rover combination of systems from three teams ( KIT, RWTH, LIMSI+VR) for the French and German languages. The casesensitive word error rates (WER) of the combined systems were respectively 20.8% and 18.1% on the 2010 evaluation data, relative WER reductions of 14.6% and 17.4% respectively over the best component system.
%U https://aclanthology.org/2011.iwslt-evaluation.16
%P 121-128
Markdown (Informal)
[Speech recognition for machine translation in Quaero](https://aclanthology.org/2011.iwslt-evaluation.16) (Lamel et al., IWSLT 2011)
ACL
- Lori Lamel, Sandrine Courcinous, Julien Despres, Jean-Luc Gauvain, Yvan Josse, Kevin Kilgour, Florian Kraft, Viet-Bac Le, Hermann Ney, Markus Nußbaum-Thom, Ilya Oparin, Tim Schlippe, Ralf Schlüter, Tanja Schultz, Thiago Fraga da Silva, Sebastian Stüker, Martin Sundermeyer, Bianca Vieru, Ngoc Thang Vu, et al.. 2011. Speech recognition for machine translation in Quaero. In Proceedings of the 8th International Workshop on Spoken Language Translation: Evaluation Campaign, pages 121–128, San Francisco, California.