Key research themes
1. How are digital corpora and lexical databases advancing British Sign Language (BSL) linguistic research and variation studies?
This research area focuses on the creation, annotation, and utilization of large-scale, machine-readable digital corpora and lexical databases for British Sign Language. Such resources enable empirical, corpus-linguistic, and sociolinguistic investigations into BSL's lexical frequency, phonological and lexical variation, regional dialects, and language change. These efforts bridge prior reliance on small or elicited datasets and facilitate rigorous and replicable research, supporting language documentation, education, and technological applications.
2. What are the phonological-semantic relationships and iconicity patterns in British Sign Language lexicons?
This theme investigates how phonological properties of BSL signs relate to their semantic meanings, including the role of iconicity and non-arbitrariness in the lexicon. Computational and psycholinguistic approaches are applied to elucidate the extent and distribution of motivated form-meaning mappings, revealing systematic and iconic patterns that influence linguistic structure and processing. Understanding these relationships contributes to linguistic theory, lexicography, and sign language acquisition models.
3. How can technology-driven approaches enhance BSL recognition, translation, and educational applications?
This research focus explores the use of computer vision, sensor-based gloves, machine learning, and corpus-based linguistic annotation to develop automatic BSL recognition and translation systems. It encompasses the creation of annotated multilingual corpora, sign language synthesis systems, and tools facilitating BSL-English interaction. These technological advancements aim to improve communication accessibility for the Deaf community, advance linguistic understanding, and support educational outcomes.












