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:

Enoch Aboh (ACLC), Jari Andersen (ILLC), Rob Belleman (IvI), Cindy van Boven (ACLC/ILLC), Marco Degano (ILLC), Lyke Esselink (ILLC), Lisa Gierman (ILLC), Jenia Khristoforova (ACLC), Ulrika Klomp (ILLC), Ellen Nauta (ILLC), Liberty Notarte Balanquit (ACLC), Marloes Oomen (ACLC), Gomèr Otterspeer (ILLC), Anna Palmann (ILLC), Ray Pelupessy (ILLC), Roland Pfau (ACLC), Oline Ranum (ILLC), Jos Ritmeester (ILLC), Floris Roelofsen (ILLC), Tobias de Ronde (ACLC/ILLC), Johan Ros (ILLC), Marijke Scheffener (ACLC), Annika Schiefner (ILLC), Marieke Schouwstra (ILLC), Galya Stern (ILLC), Beyza Sümer (ACLC), James Trujillo (ILLC), Dimitris Tzionas (IvI), Raquel Veiga Busto (ILLC), Dalene Venter (ILLC), Casper Wubbolts (ILLC).

And BA and MA students interested in sign language linguistics and/or AI technology.