Zobrazit minimální záznam
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 |
Soubory tohoto záznamu
Licenční kategorie:
Publicly Available
Licence:
AGREEMENT ON THE USE OF DATA IN QT21
- Název
- en_de_NMT_train_dev.tgz
- Velikost
- 1.47
MB
- Formát
- application/x-gzip
- Popis
- En-De NMT data for the 2018 APE shared task
- MD5
- c34ad252e4f23f85e851e0a0cc7fb308
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Zobrazit minimální záznam