@inproceedings{Gemert:22,
	abstract = {{Communication between healthcare professionals and deaf
patients is challenging, and the current COVID-19 pandemic makes this
issue even more acute. Sign language interpreters can often not enter
hospitals and face masks make lipreading impossible. To address this urgent problem, we developed a system which allows healthcare professionals to translate sentences that are frequently used in the diagnosis and
treatment of COVID-19 into Sign Language of the Netherlands (NGT).
Translations are displayed by means of videos and avatar animations.
The architecture of the system is such that it could be extended to other
applications and other sign languages in a relatively straightforward way.}},
	author = {Britt van Gemert and Richard Cokart and Lyke Esselink and Maartje de Meulder and Nienke Sijm and Floris Roelofsen},
	booktitle = {Sign Language Translation and Avatar Technology},
	editor = {},
	keywords = {sign language, machine translation},
	mendeley-tags = {sign language, machine translation},
	pages = {109-116},
	title = {First Steps Towards a Signing Avatar for Railway Travel Announcements in the Netherlands},
	url = {https://www.signlab-amsterdam.nl/publications/SLTAT2022Proceedings.pdf},
	year = {2022},
	Bdsk-Url-1 = {}}

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