Busca
Resultados da Busca
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2024
Research report
Publishing updated version of ‘R for Newspaper Data’
My Living with Machines Digital Residency, which I carried out between May and July 2023, allowed me to update and publish an online book on accessing and analysing newspaper data. The goal of the book is to make available an end-to-end set of instructions and tutorials which would allow researchers,...Ryan, Yann Ciarán
digital humanities, Victorian, historical newspapers, and Living with Machines
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2024
Research report
Circulations and Entangled History in 19th Century Chile
The Living with Machines Digital Residences have offered our research team a remarkable opportunity to experiment with methods for extracting data from historical newspapers dating back 100 to 150 years. This interdisciplinary project aims to expand the scope of digital humanities and historical research by developing automated techniques for data...Hayward, Jennifer ; Valenzuela, Gillian ; Shakib, Khandokar
digital humanities, historical newspapers, Living with Machines, and Victorian
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2024
Research report
An Etiquette For Minor Time Travel
A report documenting the Living with Machines Digital Residency project called "An Etiquette for Minor Time Travel" by Robert Sherman. Via an open call and running from to July 2023, six Digital Residencies were funded by the Living with Machines project to support researchers and practitioners devising creative approaches to...Sherman, Robert
art, Living with Machines, Victorian, rail, data visualisation, digital humanities, and poetry
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2024
Research report
Visualising press politics in the United Kingdom
This project's main goal, as outlined in the initial proposal, was to develop an interactive, open-source web app that visualizes data from the Press Directories dataset alongside historical general election results. In this report, I will delve into the challenges encountered, the interesting findings uncovered, and the potential avenues for...Bonato, Nicolò
historcial newspapers, digital humanities, Victorian, politics, data visualisation, and Living with Machines
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2024
Research report
The Devils After the Fall
This is a report by Nicola Baldwin of a Digital Residency at Living With Machines, on the dataset: Crowdsourced accidents data from Newspapers, working in line with the LWM aims for Radical Collaboration, New Perspectives, Analysing at Scale. The following document is a personal account of work done, thoughts arising...Baldwin, Nicola
Living with Machines, accidents, Victorian, film, crowdsourcing, newspaper, and digital humanities
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2024
Research report
UK Railway Archive (AR-UK)
Archive The Railway UK (AR-UK) is a comprehensive digital platform designed to enhance the online archives of the UK rail network. This initiative, developed in collaboration with Living with Machines, is primarily focused on research, historical preservation, and providing public access to railway history. As a centralized resource, it caters...Sheppard, Joanne
digital humanities, Victorian, rail, data visualisation, and Living with Machines
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2023
Dataset
DeezyMatch training set for OCR
Optical character recognition (OCR) is the process of automatically transcribing text from images. The presence of OCR-induced errors in digitised text is a common problem in the digital humanities. OCR errors are usually due to the misrecognition of characters, such as "h" recognised as "b", or "c" recognised as "o".... -
Living with Machines
User Collection
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2023
Book
Collaborative Historical Research in the Age of Big Data
Living with Machines is the largest digital humanities project ever funded in the UK. The project brought together a team of twenty-three researchers to leverage more than twenty-years' worth of digitisation projects in order to deepen our understanding of the impact of mechanisation on nineteenth-century Britain. In contrast to many...Ahnert, Ruth ; Griffin, Emma ; Ridge, Mia ; Tolfo, Giorgia
digital humanities, British history, multidisciplinarity, digital history, and nineteenth century
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2022
Conference paper (published)
Entities, Dates, and Languages: Zero-Shot on Historical Texts with T0
In this work, we explore whether the recently demonstrated zero-shot abilities of the T0 model extend to Named Entity Recognition for out-of-distribution languages and time periods. Using a historical newspaper corpus in 3 languages as test-bed, we use prompts to extract possible named entities. Our results show that a naive...De Toni, Francesco ; Akiki, Christopher ; De La Rosa, Javier ; Fourrier, Clémentine ; Manjavacas, Enrique …