Publication:

Leveraging Frozen Pretrained Written Language Models for Neural Sign Language Translation

Date

2022
Journal article
https://doi.org/10.3390/info13050220
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dc.contributor.authorDe Coster, Mathieu
dc.contributor.authorDambre, Joni
dc.contributor.imecauthorDe Coster, Mathieu
dc.contributor.imecauthorDambre, Joni
dc.contributor.orcidimecDe Coster, Mathieu::0000-0002-1103-2441
dc.date.accessioned2022-06-30T14:13:28Z
dc.date.available2022-06-13T02:21:05Z
dc.date.available2022-06-13T08:25:52Z
dc.date.available2022-06-30T14:13:28Z
dc.date.issued2022
dc.description.wosFundingTextMathieu 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.
dc.identifier.doi10.3390/info13050220
dc.identifier.issn2078-2489
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39946
dc.publisherMDPI
dc.source.beginpage220
dc.source.issue5
dc.source.journalINFORMATION
dc.source.numberofpages17
dc.source.volume13
dc.title

Leveraging Frozen Pretrained Written Language Models for Neural Sign Language Translation

dc.typeJournal article
dspace.entity.typePublication
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