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dc.contributor.authorFormiga Fanals, Lluís
dc.contributor.authorMàrquez Villodre, Lluís
dc.contributor.authorPujantell Traserra, Jaume
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2014-02-14T16:54:22Z
dc.date.available2014-02-14T16:54:22Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationFormiga, L.; Marquez, L.; Pujantell, J. Real-life translation quality estimation for MT system selection. A: Machine Translation Summit. "Proceedings of Machine Translation Summit XIV". Niça: 2013, p. 69-76.
dc.identifier.urihttp://hdl.handle.net/2117/21591
dc.description.abstractResearch on translation quality annotation and estimation usually makes use of standard language, sometimes related to a specific language genre or domain. However, real-life machine translation (MT), performed for instance by on-line translation services, has to cope with some extra dif- ficulties related to the usage of open, non-standard and noisy language. In this paper we study the learning of quality estimation (QE) models able to rank translations from real-life input according to their goodness without the need of translation references. For that, we work with a corpus collected from the 24/7 Reverso.net MT service, translated by 5 different MT systems, and manually annotated with quality scores. We define several families of features and train QE predictors in the form of regressors or direct rankers. The predictors show a remarkable correlation with gold standard rankings and prove to be useful in a system combination scenario, obtaining better results than any individual translation system.
dc.format.extent8 p.
dc.language.isoeng
dc.rightsAttribution-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Ensenyament i aprenentatge::Aprenentatge de llengües
dc.subject.lcshTranslations
dc.titleReal-life translation quality estimation for MT system selection
dc.typeConference lecture
dc.subject.lemacTraducció -- Investigació
dc.contributor.groupUniversitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
drac.iddocument12610217
dc.description.versionPostprint (published version)
upcommons.citation.authorFormiga, L.; Marquez, L.; Pujantell, J.
upcommons.citation.contributorMachine Translation Summit
upcommons.citation.pubplaceNiça
upcommons.citation.publishedtrue
upcommons.citation.publicationNameProceedings of Machine Translation Summit XIV
upcommons.citation.startingPage69
upcommons.citation.endingPage76


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NoDerivs 3.0 Spain