Research project

Exploring new methods in comparing sign language corpora

Currently the focus of the project is the development of a tool that utilizes dimensionality reduction techniques in order to analyze and interpret the lexical and phonological variation between different sign languages. Additionally, the application of deep learning techniques for the extraction of phonological features from sign language videos is being explored. The project is in collaboration with the Leiden University Centre for Linguistics and the Leiden Univesrity Centre for Digital Humanities.