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dc.contributor.author Turchi, Marco
dc.contributor.author Chatterjee, Rajen
dc.contributor.author Negri, Matteo
dc.date.accessioned 2017-02-15T15:54:51Z
dc.date.available 2017-02-15T15:54:51Z
dc.date.issued 2017-02-15
dc.identifier.uri http://hdl.handle.net/11234/1-1966
dc.description Training data for the WMT 2017 Automatic post-editing task (the same used for the Sentence-level Quality Estimation task). They consist in 11,000 English-German triplets (source, target and post-edit) belonging to the IT domain and already tokenized. All data is provided by the EU project QT21 (http://www.qt21.eu/).
dc.language.iso eng
dc.language.iso deu
dc.publisher Fondazione Bruno Kessler, Trento, Italy
dc.rights AGREEMENT ON THE USE OF DATA IN QT21 APE Task
dc.rights.uri https://lindat.mff.cuni.cz/repository/xmlui/page/licence-TAUS_QT21
dc.source.uri http://www.statmt.org/wmt17/ape-task.html
dc.subject machine translation
dc.subject shared task
dc.subject post-editing
dc.subject automatic post-editing
dc.title WMT17 En-De APE Shared Task Data
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
dc.rights.label PUB
has.files yes
branding LINDAT / CLARIN
contact.person Marco Turchi turchi@fbk.eu FBK
contact.person Matteo Negri negri@fbk.eu FBK
sponsor European Union H2020-ICT-2014-1-645452 QT21: Quality Translation 21 euFunds info:eu-repo/grantAgreement/EC/H2020/645452
size.info 11,000 items
files.size 1101952
files.count 1


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