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dc.contributor.author Fomicheva, Marina
dc.contributor.author Bel Rafecas, Núria
dc.contributor.author da Cunha Fanego, Iria
dc.contributor.author Malinovskiy, Anton
dc.date.accessioned 2019-03-14T12:02:57Z
dc.date.available 2019-03-14T12:02:57Z
dc.date.issued 2015
dc.identifier.citation Fomicheva M, Bel N, Da Cunha I, Malinovskiy A. UPF-cobalt submission to WMT15 metrics task. In: Bojar O, Chatterjee R, Federmann C, Haddow B, Hokamp C, Huck M, Logacheva V, Pecina P, editors. Proceedings of the Tenth Workshop on Statistical Machine Translation; 2015 Sep 17-18; Lisboa, Portugal: Association for Computational Linguistics; 2015. p. 373-9.
dc.identifier.uri http://hdl.handle.net/10230/36827
dc.description Comunicació presentada a: 10th Workshop on Statistical Machine Translation, celebrat a Lisboa, Portugal, del 17 al 18 de setembre de 2015.
dc.description.abstract An important limitation of automatic evaluation metrics is that, when comparing Machine Translation (MT) to a human reference, they are often unable to discriminate between acceptable variation and the differences that are indicative of MT errors. In this paper we present UPF-Cobalt evaluation system that addresses this issue by penalizing the differences in the syntactic contexts of aligned candidate and reference words. We evaluate our metric using the data from WMT workshops of the recent years and show that it performs competitively both at segment and at system levels.
dc.description.sponsorship This work was supported by IULA (UPF) and the FIDGR grant program of the Generalitat de Catalunya.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ACL (Association for Computational Linguistics)
dc.relation.ispartof Bojar O, Chatterjee R, Federmann C, Haddow B, Hokamp C, Huck M, Logacheva V, Pecina P, editors. Proceedings of the Tenth Workshop on Statistical Machine Translation; 2015 Sep 17-18; Lisboa, Portugal: Association for Computational Linguistics; 2015. p. 373-9.
dc.rights © ACL, Creative Commons Attribution 3.0 License
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.title UPF-cobalt submission to WMT15 metrics task
dc.type info:eu-repo/semantics/conferenceObject
dc.subject.keyword Statistical Machine Translation
dc.subject.keyword Evaluation metrics
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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