Recognising Text, Recognising Processes
eXplainable Automatic Text
Recognition for Scottish Spiritualist Newspapers
eXplainable Automatic Text
Recognition for Scottish Spiritualist Newspapers
Adoption and the Resurgence of Anishinaabe Citizenship Law
MoreEx-soldiers, their families and communities in post-war Africa, 1945-60
MoreThis project explores how machine learning and artificial intelligence can transform the scholarly digital editing process.
MoreThis project explores innovative editorial and publishing approaches and best practices related to born-digital materials.
MoreThis project examines Petrarch’s poetic influence across literary traditions using computational tools alongside philological analysis.
MoreThis project explores how new oral histories can enrich digitised archives by adding perspectives often missing from colonial-era collections.
MoreThis project will research the process of creating 3D printed objects focusing on its hybrid materiality, and comparing it with traditional artisanal crafts.
MoreHKCAL is an interdisciplinary research network based in Northern England that explores the evolving contours of Hong Kong’s cultural identity both at home and abroad.
More‘Petticoat governments’ and secondary voices in nineteenth century European expeditions of Africa.
MoreThe Bede supercomputer will be used to explore the viability of machine learning approaches for interpreting billions of Linguistic DNA data.
MoreWork in East Africa and Western Europe, 1880 to the Present
MoreA project to investigate the systematic and participatory auditing of current and evolving AI technologies
MoreThe new virtual museum that celebrates a sense of place.
MoreAn edition of letters written by the celebrated playwright, poet, philanthropist, moralist and educationalist Hannah More (1745-1833)
MoreApplying advanced deep-learning techniques to improve the quality of poor OCR in the British Library Newspapers collection.
MoreDavid Livingstone’s expeditionary collecting
MoreA multilingual best practice handbook
MoreTranscriptions of c.5,500 letters that enable an exploration of active citizenship in the 19th and 21st centuries.
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