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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".... -
2020
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... -
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... -
2019
Journal article
Appraising, processing, and providing access to email in contemporary literary archives
The email of contemporary literary figures is ripe for research by scholars, and of broad interest to the general public, but can also present many challenges to cultural memory institutions that seek to appraise, process and provide access to this rich archival material. This article explores how five institutions across...Schneider, J. ; Adams, C. ; DeBauche, S. ; Echols, R. ; McKean, C. …
contemporary literary archives, machine learning, archival processing, natural language processing, and email preservation