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 |