Search Constraints
Search Results
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2020
Conference paper (unpublished)
Assessing the Impact of OCR Quality on Downstream NLP Tasks
A growing volume of heritage data is being digitized and made available as text via optical character recognition (OCR). Scholars and libraries are increasingly using OCR-generated text for retrieval and analysis. However, the process of creating text through OCR introduces varying degrees of error to the text. The impact of... -
2020
Dataset
Living with Machines alpha and beta Zooniverse 'accident' task data
Data created through crowdsourcing tasks hosted on the Zooniverse platform. Members of the public were asked to look at a selection of articles from 19th century newspapers that mentioned machines and decide if they described an industrial accident. A further task asked participants to transcribe personal, organisational and place names...Zooniverse volunteers
crowdsourcing, digital history, citizen history, Living with Machines, newspapers, and digital humanities
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2020
Dataset
Living Machines atypical animacy dataset
Atypical animacy detection dataset, based on nineteenth-century sentences in English extracted from an open dataset of nineteenth-century books digitized by the British Library (available via https://doi.org/10.21250/db14, British Library Labs, 2014). This dataset contains 598 sentences containing mentions of machines. Each sentence has been annotated according to the animacy and humanness... -
2020
Conference paper (published)
DeezyMatch: A Flexible Deep Learning Approach to Fuzzy String Matching
We present DeezyMatch, a free, open-source software library written in Python for fuzzy string matching and candidate ranking. Its pair classifier supports various deep neural network architectures for training new classifiers and for fine-tuning a pretrained model, which paves the way for transfer learning in fuzzy string matching. This approach...Hosseini, Kasra ; Nanni, Federico ; Coll Ardanuy, Mariona
Natural Language Processing, string matching, toponym matching, machine learning, and digital humanities
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2020
Conference paper (unpublished)
A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching
Recognizing toponyms and resolving them to their real-world referents is required for providing advanced semantic access to textual data. This process is often hindered by the high degree of variation in toponyms. Candidate selection is the task of identifying the potential entities that can be referred to by a toponym... -
2022
Abstract
Historic machines from 'prams' to 'Parliament': new avenues for collaborative linguistic research
Research in computational linguistics has made successful attempts at modelling word meaning at scale, but much remains to be done to put these computational models to the test of historical scholarship (see e.g. Beelen et al. 2021). More importantly, a lot of computational research looks at texts in a historical...Ridge, Mia ; Tolfo, Giorgia ; Westerling, Kalle ; Pedrazzini, Nilo ; McGillivray, Barbara
crowdsourcing, computational linguistics, and digital humanities
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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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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
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
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