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Jessica Witte

Digital Research Analyst

University of Edinburgh

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Institutional

CONNECT

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RESEARCH INTERESTS

PROJECT

THISTLE: Technology for Handling and Improving Stubborn Text-Level Errors

THISTLE explores how large language models (LLMs) can be used to improve the quality and accessibility of digitised historical newspapers. Focusing on a nineteenth-century subset of digitised issues of The Scotsman, this project will develop and test a pilot pipeline that uses fine-tuned LLMs to correct complex OCR errors in historical texts. The aim is to produce cleaner, more reliable machine-readable text that is suitable for computational analysis.

Digitised image of the front page of the first issue of The Scotsman newspaper; Public domain CC0

USE CASE FOR THIS FELLOW

Link to the page

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This website has been produced and is managed by the coordinators of the DISKAH project at the University of Brighton. The ‘Digital Skills in Arts and Humanities (DISKAH): Transforming Access to Digital Infrastructure and Skills‘ project has received funding through the UKRI Digital Research Infrastructure Programme (Grant No. APP4595).

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Facilitators

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DISKAH builds on the previous projects of the Digital Skills Network in the Arts and Humanities, which received funding by the ​​​​​​AHRC under the ‘Embed digital skills in arts and humanities research scheme‘, aiming at addressing the digital skills gap within the arts and humanities research community.

University of Brighton | Cockcroft 402 | BN2 4GJ | Brighton

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