MC-TRISLAN: A Large 3D Motion Capture Sign Language Data-set

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F22%3A43966226" target="_blank" >RIV/49777513:23520/22:43966226 - isvavai.cz</a>
Result on the web
<a href="http://www.lrec-conf.org/proceedings/lrec2022/workshops/signlang/index.html" target="_blank" >http://www.lrec-conf.org/proceedings/lrec2022/workshops/signlang/index.html</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
MC-TRISLAN: A Large 3D Motion Capture Sign Language Data-set
Original language description
The new 3D motion capture data corpus expands the portfolio of existing language resources by a corpus of 18 hours ofCzech sign language. This helps to alleviate the current problem, which is a critical lack of high quality data necessary forresearch and subsequent deployment of machine learning techniques in this area. We currently provide the largest collection ofannotated sign language recordings acquired by state-of-the-art 3D human body recording technology for the successful futuredeployment in communication technologies, especially machine translation and sign language synthesis.
Czech name
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Czech description
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Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources
ISBN
979-10-95546-86-3
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
88-93
Publisher name
European Language Resources Association
Place of publication
Marseille
Event location
Marseille, France
Event date
Jun 20, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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