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dc.contributor.authorIlisei, Iustina
dc.contributor.authorInkpen, Diana
dc.contributor.authorCorpas Pastor, Gloria
dc.contributor.authorMitkov, Ruslan
dc.contributor.editorGelbukh, A
dc.date.accessioned2019-07-15T12:02:22Z
dc.date.available2019-07-15T12:02:22Z
dc.date.issued2010
dc.identifier.citationIlisei I., Inkpen D., Corpas Pastor G., Mitkov R. (2010) Identification of Translationese: A Machine Learning Approach. In: Gelbukh A. (Ed.) Computational Linguistics and Intelligent Text Processing: 11th International Conference, CICLing 2010, Iasi, Romania, March 21-27, 2010, Proceedings. Berlin, Heidelberg: Springer Verlag, pp. 503-511.en
dc.identifier.issn0302-9743en
dc.identifier.doi10.1007/978-3-642-12116-6_43en
dc.identifier.urihttp://hdl.handle.net/2436/622559
dc.description.abstractThis paper presents a machine learning approach to the study of translationese. The goal is to train a computer system to distinguish between translated and non-translated text, in order to determine the characteristic features that influence the classifiers. Several algorithms reach up to 97.62% success rate on a technical dataset. Moreover, the SVM classifier consistently reports a statistically significant improved accuracy when the learning system benefits from the addition of simplification features to the basic translational classifier system. Therefore, these findings may be considered an argument for the existence of the Simplification Universal.en
dc.formatapplication/PDFen
dc.language.isoenen
dc.publisherSpringeren
dc.relation.ispartofseriesLecture Notes in Computer Science, vol. 6008
dc.relation.urlhttps://link.springer.com/chapter/10.1007%2F978-3-642-12116-6_43en
dc.subjectlearning systemen
dc.subjectmachine learn approachen
dc.subjectclass instanceen
dc.subjecttranslation studyen
dc.subjectsentence lengthen
dc.titleIdentification of translationese: a machine learning approachen
dc.typeConference contributionen
dc.date.updated2019-06-27T12:02:20Z
dc.conference.name11th International Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2010
pubs.place-of-publicationBerlin, Heidelberg
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW150719GCPen
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2019-07-15en
dc.source.booktitleComputational Linguistics and Intelligent Text Processing 11th International Conference, CICLing 2010, Iasi, Romania, March 21-27, 2010, Proceedings
dc.source.volume6008
dc.source.beginpage503
dc.source.endpage511
refterms.dateFCD2019-07-15T12:01:28Z
refterms.versionFCDAM
refterms.dateFOA2019-07-15T12:02:22Z


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