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dc.contributor.author Galuščáková, Petra
dc.contributor.author Bojar, Ondřej
dc.date.accessioned 2012-05-15T13:59:24Z
dc.date.available 2012-05-15T13:59:24Z
dc.date.issued 2012-05-15
dc.identifier.uri http://hdl.handle.net/11858/00-097C-0000-0006-AADC-5
dc.description Manual classification of errors of English-Slovak translation according to the classification introduced by Vilar et al. [1]. 50 sentences randomly selected from WMT 2011 test set [2] were translated by 3 MT systems described in [3] and MT errors were manually marked and classified. 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://www.statmt.org/wmt11/evaluation-task.html [3] Petra Galuščáková and Ondřej Bojar. Improving SMT by Using Parallel Data of a Closely Related Language. In Human Language Technologies - The Baltic Perspective - Proceedings of the Fifth International Conference Baltic HLT 2012, volume 247 of Frontiers in AI and Applications, pages 58-65, Amsterdam, Netherlands, October 2012. IOS Press.
dc.description.sponsorship This work has been supported by the grant Euro-MatrixPlus (FP7-ICT-2007-3-231720 of the EU and 7E09003 of the Czech Republic)
dc.language.iso slk
dc.language.iso eng
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 EN-SK translation
dc.title Manually Classified Errors in En->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 17723
files.count 1


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