Recherche
Résultats de recherche
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Software
Living-with-machines/MapReader: End of LwM
This release marks the end of the current funding for MapReader during the Living with Machines (LwM) project. @kasra-hosseini @andrewphilipsmith @rwood-97 @kmcdono2 @dcsw2 @kallewesterling @kasparvonbeelenHosseini, Kasra ; Wood, Rosie ; Smith, Andy ; McDonough, Katie ; Wilson, Daniel C. S. …
computer vision and maps
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Conference paper (unpublished)
(Re)investing in a national repository infrastructure for cultural heritage
Since 2018, the British Library (BL) has invested considerable resource in establishing the necessary infrastructure for a national repository service for cultural heritage organisations, using Samvera Hyku. This has entailed working closely with all known Hyku suppliers and developers, as well as collaborating with the University of Virginia on an...Basford, Jenny ; Holt, Ilkay ; Jevon, Graham ; Ramsey, Nora
open access, OR2023, and repository
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Dataset
Diachronic word embeddings from 19th-century newspapers digitised by the British Library (1800-1919)
Word vectors related to the paper "Machines in the media: semantic change in the lexicon of mechanization in 19th-century British newspapers" by Nilo Pedrazzini and Barbara McGillivray (2022). The embeddings were trained on a 4.2-billion-word corpus of 19th-century British newspapers using Word2Vec and specific parameters. The embeddings are divided into...Pedrazzini, Nilo ; McGillivray, Barbara
historical semantics, word-vectors, late-modern-english, newspapers, diachronic-embeddings, and word2vec
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Dataset
Decade-level Word2Vec models from automatically transcribed 19th-century newspapers digitised by the British Library (1800-1919)
Word embeddings trained on a 4.2-billion-word corpus of 19th-century British newspapers using Word2Vec and specific parameters. The embeddings are divided into periods of ten years each. Unlike those in this repository, these were not aligned and OCR errors skimmed from the vocabulary. See related GitHub repository for the full documentation:...Pedrazzini, Nilo
historical semantics, British newspapers, word embeddings, word vectors, word2vec, and Late Modern English
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Dataset
Diachronic and diatopic word embeddings from newspapers digitised by the British Library (1830-1889): North and South England
Diachronic word embeddings (decade-level) trained with Word2Vec (via Gensim) on different geographic subcorpora of the Heritage Made Digital British and the Living with Machines historical newspaper collections: - North England (north.zip) - South England (south.zip) At the moment, for each subcorpus, Word2Vec models are available for each decade in the...Pedrazzini, Nilo ; McGillivray, Barbara
historical semantics, diachronic embeddings, late modern English, word embeddings, word vectors, word2vec, and diatopic embeddings
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Research report
Locating a National Collection (LaNC) Final Report
Locating a National Collection helps cultural heritage organisations to use geographical information — such as where objects were made and used or the locations they depict and describe — to connect collections and engage the public. Through workshops, audience research and software development the project has developed a set of...Rees, Gethin ; Gadd, Stephen ; Horgan, John ; Hunt, Alex ; Isaksen, Leif …
location, geographical information, collections, cultural heritage organisations, research data, and digital records
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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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Research report
Data Study Group Final Report: Smart monitoring for conservation areas
WWF (World Wide Fund for Nature) monitors over 250,000 protected areas (e.g. national parks and nature reserves) and thousands of other sites and critical habitats. These sites are the foundation of global natural assets and are central to the preservation of biodiversity and human well-being. Unfortunately, they face increasing pressures... -
Dataset
Locating a National Collection Our Place audience survey results
Results of an audience survey conducted by Locating a National Collection and funded by the AHRC. The research has been led by the National Trust in collaboration with the British Library and Research Bods, a market research company who have delivered results using the NT’s ‘Our Place’ online audience research...Vitale, Valeria ; Rees, Gethin ; Hunt, Alex