@inproceedings{patry-etal-2006-mood,
title = "{MOOD}: A Modular Object-Oriented Decoder for Statistical Machine Translation",
author = "Patry, Alexandre and
Gotti, Fabrizio and
Langlais, Philippe",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Gangemi, Aldo and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Tapias, Daniel",
booktitle = "Proceedings of the Fifth International Conference on Language Resources and Evaluation ({LREC}{'}06)",
month = may,
year = "2006",
address = "Genoa, Italy",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2006/pdf/542_pdf.pdf",
abstract = "We present an Open Source framework called MOOD developed in order tofacilitate the development of a Statistical Machine Translation Decoder.MOOD has been modularized using an object-oriented approach which makes itespecially suitable for the fast development of state-of-the-art decoders. Asa proof of concept, a clone of the pharaoh decoder has been implemented andevaluated. This clone named ramses is part of the current distribution of MOOD.",
}
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<abstract>We present an Open Source framework called MOOD developed in order tofacilitate the development of a Statistical Machine Translation Decoder.MOOD has been modularized using an object-oriented approach which makes itespecially suitable for the fast development of state-of-the-art decoders. Asa proof of concept, a clone of the pharaoh decoder has been implemented andevaluated. This clone named ramses is part of the current distribution of MOOD.</abstract>
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%0 Conference Proceedings
%T MOOD: A Modular Object-Oriented Decoder for Statistical Machine Translation
%A Patry, Alexandre
%A Gotti, Fabrizio
%A Langlais, Philippe
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Gangemi, Aldo
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Tapias, Daniel
%S Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
%D 2006
%8 May
%I European Language Resources Association (ELRA)
%C Genoa, Italy
%F patry-etal-2006-mood
%X We present an Open Source framework called MOOD developed in order tofacilitate the development of a Statistical Machine Translation Decoder.MOOD has been modularized using an object-oriented approach which makes itespecially suitable for the fast development of state-of-the-art decoders. Asa proof of concept, a clone of the pharaoh decoder has been implemented andevaluated. This clone named ramses is part of the current distribution of MOOD.
%U http://www.lrec-conf.org/proceedings/lrec2006/pdf/542_pdf.pdf
Markdown (Informal)
[MOOD: A Modular Object-Oriented Decoder for Statistical Machine Translation](http://www.lrec-conf.org/proceedings/lrec2006/pdf/542_pdf.pdf) (Patry et al., LREC 2006)
ACL