Publication:

Machine translation from signed to spoken languages: state of the art and challenges

Date

2024
Journal Article Review
https://doi.org/10.1007/s10209-023-00992-1
Simple item page Full metadata Statistics
 
dc.contributor.authorDe Coster, Mathieu
dc.contributor.authorShterionov, Dimitar
dc.contributor.authorVan Herreweghe, Mieke
dc.contributor.authorDambre, Joni
dc.contributor.imecauthorDe Coster, Mathieu
dc.contributor.imecauthorDambre, Joni
dc.contributor.orcidimecDe Coster, Mathieu::0000-0002-1103-2441
dc.contributor.orcidimecDambre, Joni::0000-0002-9373-1210
dc.date.accessioned2024-09-25T12:01:00Z
dc.date.available2023-04-22T04:04:28Z
dc.date.available2023-04-24T07:47:34Z
dc.date.available2024-09-25T12:01:00Z
dc.date.embargo2023-04-21
dc.date.issued2024
dc.description.wosFundingTextAcknowledgmentsThe authors wish to thank the anonymous reviewers for their detailed evaluation of our manuscript.
dc.identifier.doi10.1007/s10209-023-00992-1
dc.identifier.issn1615-5289
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41476
dc.publisherSPRINGER HEIDELBERG
dc.source.beginpage1305
dc.source.endpage1331
dc.source.issue3
dc.source.journalUNIVERSAL ACCESS IN THE INFORMATION SOCIETY
dc.source.numberofpages27
dc.source.volume23
dc.subject.keywordsSYSTEM
dc.subject.keywordsRECOGNITION
dc.subject.keywordsKINECT
dc.title

Machine translation from signed to spoken languages: state of the art and challenges

dc.typeJournal article review
dspace.entity.typePublication
Files

Original bundle

Name:
DS618.pdf
Size:
1.2 MB
Format:
Unknown data format
Description:
Published version
Download
Name:
Correction to the article.pdf
Size:
1.77 MB
Format:
Adobe Portable Document Format
Description:
Download
Publication available in collections:
Articles