SignLab Amsterdam
SignLab Amsterdam is a cross-faculty research lab at the University of Amsterdam. It brings together a long tradition of sign language linguistics in Amsterdam with recent advances in artificial intelligence.
Key objectives
- Investigate the structure of signs and signed sentences, paying special attention to cross-modal and intra-modal variation and similarities;
- Develop new methods making use of computer vision and machine learning techniques to investigate sign language structure;
- Contribute to diminishing the communication barrier between deaf and hearing people by integrating novel insights into the grammar of sign languages in new sign language applications and technology.
Impact
SignLab Amsterdam aims to contribute to diminishing the communication barrier between deaf and hearing people by gaining deeper insight into the grammar of sign languages and integrating this knowledge in newly developed sign language applications and technology.
Events
We have regular (every 3-4 weeks) seminars at which team members or visitors present their work; for the most part, these seminars take place at the Bushuis. If you would like to be put on the mailing list, please contact Marloes Oomen at m.oomen2@uva.nl.
Coordinators and group members
Coordinators ACLC: Marloes Oomen & Roland Pfau
Coordinator ILLC: Floris Roelofsen
Group members:
- Roland Pfau (ACLC)
- Marloes Oomen (ACLC)
- Floris Roelofsen (ILLC)
- Tobias de Ronde (ACLC)
- Beyza Sümer (ACLC)
- James Trujillo (ILLC)
- Cindy van Boven (ILLC)
- Wout Damen (ACLC)
- Lyke Esselink (ILLC)
- Liberty Notarte Balanquit (ACLC)
- Anna Palmann (ILLC)
- Jos Ritmeester (ILLC)
- Eva Prevaes (ILLC)
- Galya Stern (ILLC)
- Mabel Traube (ILLC)
- Zhengdan Xia (ILLC)
- Jari Andersen (ILLC)
- Gomèr Otterspeer (ILLC)
- Jose Durado (ILLC)
And BA and MA students interested in sign language linguistics and/or AI technology.