dc.contributor.author |
Lebar Bajec, Iztok |
dc.contributor.author |
Repar, Andraž |
dc.contributor.author |
Bajec, Marko |
dc.contributor.author |
Bajec, Žan |
dc.contributor.author |
Rizvič, Mitja |
dc.date.accessioned |
2022-12-02T10:46:51Z |
dc.date.available |
2022-12-02T10:46:51Z |
dc.date.issued |
2022-12-01 |
dc.identifier.uri |
http://hdl.handle.net/11356/1739 |
dc.description |
Neural Machine Translation service for NeMo AAYN Base models. For more details about building such models, see the official NVIDIA NeMo documentation (https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/nlp/machine_translation/machine_translation.html) and NVIDIA NeMo GitHub (https://github.com/NVIDIA/NeMo). A model for language pair SL-EN can be downloaded from http://hdl.handle.net/11356/1736.
The service accepts the source language and target language, and either a single string or list of strings to be translated. The result will be in the same format as the request, either as a single string or list of strings. The maximal accepted text length is 5000c. Note that transcription of one 5000c text block on cpu will take advantage of all available cores, consume up to 3GB RAM and may take ~200s (on a system with 24 vCPU). See the service README.md for further details. |
dc.publisher |
Faculty of Computer and Information Science, University of Ljubljana |
dc.rights |
Apache License 2.0 |
dc.rights.uri |
https://opensource.org/licenses/Apache-2.0 |
dc.rights.label |
PUB |
dc.source.uri |
https://rsdo.slovenscina.eu/en/machine-translation |
dc.subject |
machine translation |
dc.subject |
NeMo |
dc.subject |
service |
dc.title |
NeMo Neural Machine Translation service RSDO-DS4-NMT-API 1.0 |
dc.type |
toolService |
metashare.ResourceInfo#ContentInfo.detailedType |
service |
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent |
false |
has.files |
yes |
branding |
CLARIN.SI data & tools |
demo.uri |
https://www.slovenscina.eu/en/prevajalnik |
contact.person |
Iztok Lebar Bajec ilb@fri.uni-lj.si Faculty of Computer and Information Science, University of Ljubljana |
sponsor |
Ministry of Culture C3340-20-278001 Development of Slovene in a Digital Environment Other |
files.count |
1 |
files.size |
40960 |