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.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/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 / CLARIAH-CZ |
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 |
11000 items |
files.size |
1101952 |
files.count |
1 |