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dc.contributor.author Turchi, Marco
dc.contributor.author Negri, Matteo
dc.contributor.author Chatterjee, Rajen
dc.date.accessioned 2018-02-12T15:27:42Z
dc.date.available 2018-02-12T15:27:42Z
dc.date.issued 2018-02-12
dc.identifier.uri http://hdl.handle.net/11372/LRT-2613
dc.description Training and development data for the WMT 2018 Automatic post-editing task. They consist in English-German triplets (source, target and post-edit) belonging to the information technology domain and already tokenized. Training and development respectively contain 13,442 and 1,000 triplets. A neural machine translation system has been used to generate the target segments. 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.relation info:eu-repo/grantAgreement/EC/H2020/645452
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/wmt18/ape-task.html
dc.subject machine translation
dc.subject shared task
dc.subject post-editing
dc.subject automatic post-editing
dc.title WMT18 APE Shared Task: En-DE NMT Train and Dev Data
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
dc.rights.label PUB
has.files yes
branding LRT + Open Submissions
contact.person Marco Turchi turchi@fbk.eu Fondazione Bruno Kessler, Trento, Italy
contact.person Matteo Negri negri@fbk.eu Fondazione Bruno Kessler, Trento, Italy
sponsor European Union H2020-ICT-2014-1-645452 QT21: Quality Translation 21 euFunds info:eu-repo/grantAgreement/EC/H2020/645452
size.info 15000 items
files.size 1545440
files.count 1


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En-De NMT data for the 2018 APE shared task
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