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dc.contributor.author Turchi, Marco
dc.contributor.author Chatterjee, Rajen
dc.contributor.author Negri, Matteo
dc.date.accessioned 2016-02-21T22:48:13Z
dc.date.available 2016-02-21T22:48:13Z
dc.date.issued 2016-02-21
dc.identifier.uri http://hdl.handle.net/11372/LRT-1632
dc.description Training, development and text data (the same used for the Sentence-level Quality Estimation task) consist in English-German triplets (source, target and post-edit) belonging to the IT domain and already tokenized. Training and development respectively contain 12,000 and 1,000 triplets, while the test set 2,000 instances. 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/wmt16/ape-task.html
dc.subject machine translation
dc.subject machine learning
dc.subject automatic postediting
dc.subject shared task
dc.title WMT16 APE Shared Task Data
dc.type corpus
metashare.ResourceInfo#ContentInfo.mediaType text
dc.rights.label PUB
hidden false
hasMetadata false
has.files yes
branding LRT + Open Submissions
contact.person Marco Turchi turchi@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 1294 kb
files.size 1511088
files.count 3


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Training and development data, WMT16 APE Task
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Test data, WMT16 APE Task
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Gold standard sentences
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