@inproceedings{estrella-etal-2008-improving,
title = "Improving Contextual Quality Models for {MT} Evaluation Based on Evaluators{'} Feedback",
author = "Estrella, Paula and
Popescu-Belis, Andrei and
King, Maghi",
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/236_paper.pdf",
abstract = "The Framework for the Evaluation for Machine Translation (FEMTI) contains guidelines for building a quality model that is used to evaluate MT systems in relation to the purpose and intended context of use of the systems. Contextual quality models can thus be constructed, but entering into FEMTI the knowledge required for this operation is a complex task. An experiment has been set up in order to transfer knowledge from MT evaluation experts into the FEMTI guidelines, by polling experts about the evaluation methods they would use in a particular context, then inferring from the results generic relations between characteristics of the context of use and quality characteristics. The results of this hands-on exercise, carried out as part of a conference tutorial, have served to refine FEMTIs generic contextual quality model and to obtain feedback on the FEMTI guidelines in general.",
}
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<abstract>The Framework for the Evaluation for Machine Translation (FEMTI) contains guidelines for building a quality model that is used to evaluate MT systems in relation to the purpose and intended context of use of the systems. Contextual quality models can thus be constructed, but entering into FEMTI the knowledge required for this operation is a complex task. An experiment has been set up in order to transfer knowledge from MT evaluation experts into the FEMTI guidelines, by polling experts about the evaluation methods they would use in a particular context, then inferring from the results generic relations between characteristics of the context of use and quality characteristics. The results of this hands-on exercise, carried out as part of a conference tutorial, have served to refine FEMTIs generic contextual quality model and to obtain feedback on the FEMTI guidelines in general.</abstract>
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%0 Conference Proceedings
%T Improving Contextual Quality Models for MT Evaluation Based on Evaluators’ Feedback
%A Estrella, Paula
%A Popescu-Belis, Andrei
%A King, Maghi
%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 estrella-etal-2008-improving
%X The Framework for the Evaluation for Machine Translation (FEMTI) contains guidelines for building a quality model that is used to evaluate MT systems in relation to the purpose and intended context of use of the systems. Contextual quality models can thus be constructed, but entering into FEMTI the knowledge required for this operation is a complex task. An experiment has been set up in order to transfer knowledge from MT evaluation experts into the FEMTI guidelines, by polling experts about the evaluation methods they would use in a particular context, then inferring from the results generic relations between characteristics of the context of use and quality characteristics. The results of this hands-on exercise, carried out as part of a conference tutorial, have served to refine FEMTIs generic contextual quality model and to obtain feedback on the FEMTI guidelines in general.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/236_paper.pdf
Markdown (Informal)
[Improving Contextual Quality Models for MT Evaluation Based on Evaluators’ Feedback](http://www.lrec-conf.org/proceedings/lrec2008/pdf/236_paper.pdf) (Estrella et al., LREC 2008)
ACL