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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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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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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 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
UK Doctoral Thesis Metadata from EThOS
This dataset has been superseded by a more recent version: https://doi.org/10.23636/ybpt-nh33 If you require access to an earlier version, please email openaccess@bl.uk, including the dataset title, date, and DOI in your request. The data in this collection comprises the bibliographic metadata for all UK doctoral theses listed in EThOS, the...British Library ; Rosie, Heather
higher education, ethos, dissertations, thesis, research, PhD, doctoral, student, UK, and theses
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Dataset
UK Doctoral Thesis Metadata from EThOS
This dataset has been superseded by a more recent version: https://doi.org/10.23636/j278-4b96 If you require access to an earlier version, please email openaccess@bl.uk, including the dataset title, date, and DOI in your request. The data in this collection comprises the bibliographic metadata for all UK doctoral theses listed in EThOS, the...British Library ; Rosie, Heather
higher education, student, EThOS, research, doctoral, thesis, PhD, UK, dissertations, and theses
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Dataset
UK Doctoral Thesis Metadata from EThOS
This dataset has been superseded by a more recent version: https://doi.org/10.23636/1188 If you require access to an earlier version, please email openaccess@bl.uk, including the dataset title, date, and DOI in your request. The data in this collection comprises the bibliographic metadata for all UK doctoral theses listed in EThOS, the...British Library ; Rosie, Heather
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Software
LD bounding_box
Python script to open a file system of vector and raster GIS data, find the extent and output this into a spreadsheet in a format suitable for Marc cataloguing.Rees, Gethin
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Dataset
UK Doctoral Thesis Metadata from EThOS
This dataset has been superseded by a more recent version: https://doi.org/10.23636/1137 If you require access to an earlier version, please email openaccess@bl.uk, including the dataset title, date, and DOI in your request. The data in this collection comprises the bibliographic metadata for all UK doctoral theses listed in EThOS, the UK's national thesis service. We...British Library ; Rosie, Heather
ethos, dissertations, thesis, research, PhD, doctoral, student, UK, theses, Higher education, and HE
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