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dc.contributor.author Galuščáková, Petra
dc.contributor.author Bojar, Ondřej
dc.date.accessioned 2012-05-15T13:42:49Z
dc.date.available 2012-05-15T13:42:49Z
dc.date.issued 2012-05-15
dc.identifier.uri http://hdl.handle.net/11858/00-097C-0000-0006-AADB-7
dc.description Manual classification of errors of Czech-Slovak translation according to the classification introduced by Vilar et al. [1]. First 50 sentences from WMT 2010 test set were translated by 5 MT systems (Česílko, Česílko2, Google Translate and two Moses setups) and MT errors were manually marked and classified. Classification was applied in MT systems comparison [3]. Reference translation is included. References: [1] David Vilar, Jia Xu, Luis Fernando D’Haro and Hermann Ney. Error Analysis of Machine Translation Output. In International Conference on Language Resources and Evaluation, pages 697-702. Genoa, Italy, May 2006. [2] http://matrix.statmt.org/test_sets/list [3] Ondřej Bojar, Petra Galuščáková, and Miroslav Týnovský. Evaluating Quality of Machine Translation from Czech to Slovak. In Markéta Lopatková, editor, Information Technologies - Applications and Theory, pages 3-9, September 2011
dc.description.sponsorship This work has been supported by the grants Euro-MatrixPlus (FP7-ICT-2007-3-231720 of the EU and 7E09003 of the Czech Republic)
dc.language.iso slk
dc.language.iso ces
dc.publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
dc.relation info:eu-repo/grantAgreement/EC/FP7/231720
dc.rights Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0)
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/
dc.subject machine translation
dc.subject errors classification
dc.subject CS-SK translation
dc.title Manually Classified Errors in Cs->Sk Translation
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
dc.rights.label PUB
has.files yes
branding LINDAT / CLARIAH-CZ
contact.person Petra Galuščáková galuscakova@ufal.mff.cuni.cz Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
sponsor European Union FP7-ICT-2007-3-231720 EuroMatrix Plus euFunds info:eu-repo/grantAgreement/EC/FP7/231720
sponsor Ministerstvo školství, mládeže a tělovýchovy České republiky 7E09003 EuroMatrixPlus – Bringing Machine Translation for European Languages to the User nationalFunds
files.size 9371
files.count 1


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Manual classification of errors of Cs-Sk translation according to the classification introduced by Vilar et al.
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