Communication and accessibility tools
Support new interfaces that help Deaf BSL users access or exchange information across signed and written formats.
Language and accessibility technology
Work on AI methods for British Sign Language translation, including ways to represent and assess visual, temporal and linguistic information.
Current position
The research question
This programme investigates AI methods for understanding and translating British Sign Language. BSL is visual and spatial: hand shape, movement, body position, facial expression, timing and the relationships between them can all carry meaning.
That makes the problem different from translating one written language into another. A useful system must represent information across video and time, learn from carefully described data and be evaluated with the people and contexts it is intended to support.
42able is interested in the problem because it brings language, computer vision and accessibility together around a clear need: better ways for services and information to support BSL users.
What we’re investigating
The work brings video representation, sequence modelling, language data and human-centred evaluation into one research programme.
Possible applications
The research could support accessibility and communication tools developed with Deaf BSL users and relevant language professionals.
Support new interfaces that help Deaf BSL users access or exchange information across signed and written formats.
Give translators, interpreters or content teams assistive components for preparing and reviewing BSL material.
Explore ways to connect BSL video with information published by public-facing organisations.
Investigate components for services that need better BSL accessibility while keeping people and language expertise in control.
Current status
The programme is in development. Current work focuses on technical experiments, dataset requirements and evaluation methods across different users and settings.
Open questions
Questions and collaboration
We collaborate where a research problem benefits from shared domain knowledge, relevant data and rigorous technical work.