@inproceedings{patry-langlais-2008-mistral,
title = "{MISTRAL}: a Statistical Machine Translation Decoder for Speech Recognition Lattices",
author = "Patry, Alexandre and
Langlais, Philippe",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Tapias, Daniel",
booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
month = may,
year = "2008",
address = "Marrakech, Morocco",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/293_paper.pdf",
abstract = "This paper presents MISTRAL, an open source statistical machine translation decoder dedicated to spoken language translation. While typical machine translation systems take a written text as input, MISTRAL translates word lattices produced by automatic speech recognition systems. The lattices are translated in two passes using a phrase-based model. Our experiments reveal an improvement in BLEU when translating lattices instead of sentences returned by a speech recognition system.",
}
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<abstract>This paper presents MISTRAL, an open source statistical machine translation decoder dedicated to spoken language translation. While typical machine translation systems take a written text as input, MISTRAL translates word lattices produced by automatic speech recognition systems. The lattices are translated in two passes using a phrase-based model. Our experiments reveal an improvement in BLEU when translating lattices instead of sentences returned by a speech recognition system.</abstract>
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%0 Conference Proceedings
%T MISTRAL: a Statistical Machine Translation Decoder for Speech Recognition Lattices
%A Patry, Alexandre
%A Langlais, Philippe
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F patry-langlais-2008-mistral
%X This paper presents MISTRAL, an open source statistical machine translation decoder dedicated to spoken language translation. While typical machine translation systems take a written text as input, MISTRAL translates word lattices produced by automatic speech recognition systems. The lattices are translated in two passes using a phrase-based model. Our experiments reveal an improvement in BLEU when translating lattices instead of sentences returned by a speech recognition system.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/293_paper.pdf
Markdown (Informal)
[MISTRAL: a Statistical Machine Translation Decoder for Speech Recognition Lattices](http://www.lrec-conf.org/proceedings/lrec2008/pdf/293_paper.pdf) (Patry & Langlais, LREC 2008)
ACL