SMILE: Automated sign language recognition for sign language tests
Category Project
Ausgangslage und Ziele
SMILE (Scalable Multimodal Sign Language Technology for Sign Language Learning and Assessment) is a project set up to develop a sign language test system that draws on automated sign language recognition.
Project Management
Sarah Ebling Title Dr.
Facts
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Duration03.201602.2020
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Project number
4_32
Project Team
Cooperations
Financial support
Publications
- (2019).Sign language learning and assessment in German Switzerland: Exploring the potential of vocabulary size tests for Swiss German sign language.Language Education & Assessment,2(1),20–40.
- (2020).Zuordnung von Vokabeln der Deutschschweizerischen Gebärdensprache (DSGS) zum GER: Ergebnisse einer explorativen Studie.Abstract zum eingeladenen Vortrag.
- (2019).Using open-source software for sign language learning and assessment: The case of a web-delivered Yes/No vocabulary test for Swiss German Sign Language.International Journal of Emerging Technologies in Learning,14(19),188–196.
- (2021).Überprüfen von Gebärdensprachkompetenz mittels automatischer Gebärdenspracherkennung.In P. Klaver (Hrsg.),Heilpädagogische Forschung: Bildung für Alle (Forschungsbericht 2021)Interkantonale Hochschule für Heilpädagogik (HfH).
- (2022).Development of a Technology-Assisted Assessment for Sign Language Learning.International Journal of Emerging Technologies in Learning (IJET),17(6),39–56.
- Aligning lexical concepts across languages and language-modalities to the CEFR[Konferenzvortrag].Language Testing Research Colloquium,online.
- Modalitätsspezifische Aspekte von Gebärdensprachen: Lernen, Testen und Ressourcen.Ringvorlesung Universität Bern, Institut für Allgemeine Sprachwissenschaften,Bern, Schweiz.
- (2022).Challenges in rating signed production: A mixed-methods study of a Swiss German Sign Language form-recall vocabulary test.Language Testing.
- What is “correct?” Challenges in rating minority sign languages[Konferenzvortrag].44th Language Testing and Research Colloquium: Language Assessment for a Global, Digital, and More Equitable Era,New York City, USA.