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Real-life translation quality estimation for MT system selection
dc.contributor.author | Formiga Fanals, Lluís |
dc.contributor.author | Màrquez Villodre, Lluís |
dc.contributor.author | Pujantell Traserra, Jaume |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics |
dc.date.accessioned | 2014-02-14T16:54:22Z |
dc.date.available | 2014-02-14T16:54:22Z |
dc.date.created | 2013 |
dc.date.issued | 2013 |
dc.identifier.citation | Formiga, 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.uri | http://hdl.handle.net/2117/21591 |
dc.description.abstract | Research 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.extent | 8 p. |
dc.language.iso | eng |
dc.rights | Attribution-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Ensenyament i aprenentatge::Aprenentatge de llengües |
dc.subject.lcsh | Translations |
dc.title | Real-life translation quality estimation for MT system selection |
dc.type | Conference lecture |
dc.subject.lemac | Traducció -- Investigació |
dc.contributor.group | Universitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural |
dc.description.peerreviewed | Peer Reviewed |
dc.rights.access | Open Access |
local.identifier.drac | 12610217 |
dc.description.version | Postprint (published version) |
local.citation.author | Formiga, L.; Marquez, L.; Pujantell, J. |
local.citation.contributor | Machine Translation Summit |
local.citation.pubplace | Niça |
local.citation.publicationName | Proceedings of Machine Translation Summit XIV |
local.citation.startingPage | 69 |
local.citation.endingPage | 76 |