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Linguistic-based evaluation criteria to identify statistical machine translation errors

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dc.contributor.author Farrús, Mireia
dc.contributor.author Costa-jussà, Marta R.
dc.contributor.author Mariño Acebal, José B.
dc.contributor.author Fonollosa, José A Rodriguez
dc.date.accessioned 2018-04-26T14:41:57Z
dc.date.available 2018-04-26T14:41:57Z
dc.date.issued 2010
dc.identifier.citation Farrús M, Costa-Jussà MR, Mariño JB, Fonollosa JAR. Linguistic-based evaluation criteria to identify statistical machine translation errors. In: Yvon F, Hansen V, editors. Proceedings of the 14th annual conference of the European Association for Machine Translation; 2010 May 27-28; Saint-Raphaël (France). [Allschwil]: European Association for Machine Translation, 2010. [7 p.].
dc.identifier.uri http://hdl.handle.net/10230/34496
dc.description Comunicació presentada a: the 14th annual Conference of the European Association for Machine Translation,, celebrada del 27 al 28 de maig de 2010 a Saint-Raphaël, França.
dc.description.abstract Machine translation evaluation methods are highly necessary in order to analyze the performance of translation systems. Up to now, the most traditional methods are the use of automatic measures such as BLEU or the quality perception performed by native human evaluations. In order to complement these traditional procedures, the current paper presents a new human evaluation based on the expert knowledge about the errors encountered at several linguistic levels: orthographic, morphological, lexical, semantic and syntactic. The results obtained in these experiments show that some linguistic errors could have more influence than other at the time of performing a perceptual evaluation.
dc.description.sponsorship The N-II machine translation system developed at the UPC has been funded by the European Union under the integrated project TC-STAR: Technology and Corpora for Speech to Speech Translation (IST-2002-FP6-506738), the Spanish Government under the BUCEADOR project (TEC2009-14094-C04-01), and partially funded by the Spanish Department of Education and Science through the Juan de la Cierva fellowship program.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher European Association for Machine Translation
dc.relation.ispartof Yvon F, Hansen V, editors. Proceedings of the 14th annual conference of the European Association for Machine Translation; 2010 May 27-28; Saint-Raphaël (France). [Allschwil]: European Association for Machine Translation, 2010. [7 p.].
dc.rights © European Association for Machine Translation.
dc.title Linguistic-based evaluation criteria to identify statistical machine translation errors
dc.type info:eu-repo/semantics/conferenceObject
dc.subject.keyword Machine translation
dc.subject.keyword MT evaluation
dc.subject.keyword Linguistic level
dc.subject.keyword Automatic evaluation metrics
dc.subject.keyword Perceptual evaluation
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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