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dc.contributor.authorVOGEL, CARLen
dc.contributor.editorChris Callison-Burch, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, and Lucia Speciaen
dc.date.accessioned2012-07-09T13:02:36Z
dc.date.available2012-07-09T13:02:36Z
dc.date.createdJune 7-8, 2012en
dc.date.issued2012en
dc.date.submitted2012en
dc.identifier.citationErwan Moreau and Carl Vogel, Quality Estimation: an experimental study using unsupervised similarity measures, Proceedings of the 7th Workshop on Statistical Machine Translation, Montreal, June 7-8, 2012, Chris Callison-Burch, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, and Lucia Specia, The Association for Computational Linguistics (ACL), 2012, 120 - 126en
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/64203
dc.descriptionPUBLISHEDen
dc.descriptionMontrealen
dc.description.abstractWe present the approach we took for our participation to the WMT12 Quality Estimation Shared Task: our main goal is to achieve reasonably good results without appeal to supervised learning. We have used various similarity measures and also an external resource (Google N-grams). Details of results clarify the interest of such an approach.en
dc.description.sponsorshipScience Foundation Ireland 07/CE/I1142en
dc.format.extent120en
dc.format.extent126en
dc.language.isoenen
dc.publisherThe Association for Computational Linguistics (ACL)en
dc.rightsYen
dc.subjectcomputational linguisticsen
dc.subjecttext classificationen
dc.subjectquality estimationen
dc.subjectmachine learningen
dc.titleQuality Estimation: an experimental study using unsupervised similarity measuresen
dc.title.alternativeProceedings of the 7th Workshop on Statistical Machine Translationen
dc.typeConference Paperen
dc.contributor.sponsorScience Foundation Ireland (SFI)en
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/vogelen
dc.identifier.rssinternalid79905en
dc.contributor.sponsorGrantNumber07/CE/I1142en
dc.subject.TCDThemeCreative Technologiesen
dc.subject.TCDThemeDigital Humanitiesen
dc.subject.TCDThemeIntelligent Content & Communicationsen
dc.subject.TCDTagComputational linguisticsen
dc.identifier.orcid_id0000--000-8928-8546en


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