dc.contributor.author | De Coster, Mathieu | |
dc.contributor.author | Dambre, Joni | |
dc.date.accessioned | 2022-06-30T14:13:28Z | |
dc.date.available | 2022-06-13T02:21:05Z | |
dc.date.available | 2022-06-13T08:25:52Z | |
dc.date.available | 2022-06-30T14:13:28Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 2078-2489 | |
dc.identifier.other | WOS:000804286100001 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/39946.3 | |
dc.source | WOS | |
dc.title | Leveraging Frozen Pretrained Written Language Models for Neural Sign Language Translation | |
dc.type | Journal article | |
dc.contributor.imecauthor | De Coster, Mathieu | |
dc.contributor.imecauthor | Dambre, Joni | |
dc.contributor.orcidimec | De Coster, Mathieu::0000-0002-1103-2441 | |
dc.identifier.doi | 10.3390/info13050220 | |
dc.source.numberofpages | 17 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 220 | |
dc.source.journal | INFORMATION | |
dc.source.issue | 5 | |
dc.source.volume | 13 | |
imec.availability | Published - open access | |
dc.description.wosFundingText | Mathieu De Coster's research is funded by the Research Foundation Flanders (FWO Vlaanderen): file number 77410. Work in this article is part of the SignON project. This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant No. 101017255. | |