Linguistic-based evaluation criteria to identify statistical machine translation errors

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• dc.contributor.author Farrús, Mireiaca
• dc.contributor.author Costa-jussà, Marta R.ca
• dc.contributor.author Mariño Acebal, José B.ca
• dc.contributor.author Fonollosa, José A Rodriguezca
• dc.date.accessioned 2018-04-26T14:41:57Z
• dc.date.available 2018-04-26T14:41:57Z
• dc.date.issued 2010
• 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.ca
• 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.en
• 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.en
• dc.format.mimetype application/pdf
• 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.language.iso eng
• dc.publisher European Association for Machine Translationca
• 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.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Machine translationen
• dc.subject.keyword MT evaluationen
• dc.subject.keyword Linguistic levelen
• dc.subject.keyword Automatic evaluation metricsen
• dc.subject.keyword Perceptual evaluationen
• dc.title Linguistic-based evaluation criteria to identify statistical machine translation errorsca
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/publishedVersion