Zobrazit minimální záznam
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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AGREEMENT ON THE USE OF DATA IN QT21
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TrainDev.zip
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1.26
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application/zip
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Training and development data, WMT16 APE Task
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720a9ccb8b790aa87fafbb7a656ecd4f
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Test.zip
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Test data, WMT16 APE Task
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5e6ee45a3b3418b75ff6fa90fb780016
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test_pe.zip
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Gold standard sentences
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574b990a048e714014254c8a7d8c960d
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Zobrazit minimální záznam