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Search Results
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Dataset
Cotton Factory Times
Cotton Factory Times (1885-1889, 1891-1901) was a weekly newspaper which has been digitised by the British Library for the Living with Machines projectBritish Library
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Journal article
A Dataset for Toponym Resolution in Nineteenth-Century English Newspapers
We present a new dataset for the task of toponym resolution in digitized historical newspapers in English. It consists of 343 annotated articles from newspapers based in four different locations in England (Manchester, Ashton-under-Lyne, Poole and Dorchester), published between 1780 and 1870. The articles have been manually annotated with mentions... -
Dataset
Frederick May's London Press Dictionary and Advertiser's Handbook (1883-1911)
Newspaper directories produced and published annually in contemporary 19th Britain by advertising agent Frederick May and successors, containing information on newspapers, magazines and periodicals and arranged in alphabetical and sometimes tabular order. Information for each title included price publisher office political and religious leaningFrederick May & Son ; British Library
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Dataset
The Newspaper Press Directory (1881-1920)
Newspaper directories produced and published annually in contemporary 19th Britain by advertising agent Charles Mitchell. Newspapers listed primarily listed in alphabetical order of the town the newspaper where the title was published. Information for each title included: features connected with the district such as population and trade; principal towns in...C. Mitchell and Co. ; British Library
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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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Journal article
MapReader: A Computer Vision Pipeline for the Semantic Exploration of Maps at Scale
We present MapReader, a free, open-source software library written in Python for analyzing large map collections (scanned or born-digital). This library transforms the way historians can use maps by turning extensive, homogeneous map sets into searchable primary sources. MapReader allows users with little or no computer vision expertise to i)...Hosseini, Kasra ; Wilson, Daniel C.S. ; Beelen, Kaspar ; McDonough, Katherine
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Research report
Data Study Group Final Report: The National Archives, UK: Discovering Topics and Trends in the UK Government Web Archive
The challenge we address in this report is to make steps towards improving search and discovery of resources within this vast archive for future archive users, and how the UKGWA collection could begin to be unlocked for research and experimentation by approaching it as data (i.e. as a dataset at...Beavan, David ; Nanni, Federico
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Journal article
Design Choices for Productive, Secure, Data-Intensive Research at Scale in the Cloud
We present a policy and process framework for secure environments for productive data science research projects at scale, by combining prevailing data security threat and risk profiles into five sensitivity tiers, and, at each tier, specifying recommended policies for data classification, data ingress, software ingress, data egress, user access, user...Arenas, Diego ; Atkins, Jon ; Austin, Claire ; Beavan, David ; Cabrejas Egea, Alvaro …
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Journal article
Neural Language Models for Nineteenth-Century English
We present four types of neural language models trained on a large historical dataset of books in English, published between 1760-1900 and comprised of ~5.1 billion tokens. The language model architectures include static (word2vec and fastText) and contextualized models (BERT and Flair). For each architecture, we trained a model instance...Hosseini, Kasra ; Beelen, Kaspar ; Colavizza, Giovanni ; Coll Ardanuy, Mariona
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Conference paper (published)
When Time Makes Sense: A Historically-Aware Approach to Targeted Sense Disambiguation
As languages evolve historically, making computational approaches sensitive to time can improve performance on specific tasks. In this work, we assess whether applying historical language models and time-aware methods help with determining the correct sense of polysemous words. We outline the task of time-sensitive Targeted Sense Disambiguation (TSD), which aims...Beelen, Kaspar ; Nanni, Federico ; Coll Ardanuy, Mariona ; Hosseini, Kasra ; Tolfo, Giorgia …