Dan Green
Research project title:
Representing Signed Language for Automated Understanding
Principal goal for project:
To robustly represent signed language in a machine readable form in order to examine signed language within NLP.
Research project:
Sign languages have no written form and are typically fed into machines as 2D videos which are extremely difficult to analyse directly. By creating a robust representation schema for signed language it will be possible to better define the computer vision problem of working with videos and allow well-founded NLP projects to work with signed language.
About me:
At undergraduate level I have degrees in both Computer Science (University of Cambridge) and Sign Language Interpreting (Heriot-Watt). I combined these both in my Data Science MSc (Heriot-Watt) where my research project examined automated sign language recognition.
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Student type:
Current student
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