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2023
Journal article
Working at scale: what do computational methods mean for research using cases, models and collections?
Open access, peer-reviewed article published in Science Museum Group Journal, as part of a double-length special issue for the AHRC TaNC discovery project, 'Congruence Engine'. The article gives a critical overview of how 'scale' operates as a keyword within computational humanities as well as reviewing a number of cognate fields,...Wilson, Daniel C S
machine learning, AI for GLAM, STS, scale, computational humanities, history, and congruence engine
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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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2019
Journal article
Automated Language Identification of Bibliographic Resources
This article describes experiments in the use of machine learning techniques at the British Library to assign language codes to catalog records, in order to provide information about the language of content of the resources described. In the first phase of the project, language codes were assigned to 1.15 million...Morris, Victoria
machine learning, automatic metadata generation, legacy record enhancement, metadata, and language identification
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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
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2018
Conference paper (published)
Arabic dialect identification in the context of bivalency and code-switching
In this paper we use a novel approach towards Arabic dialect identification using language bivalency and written code-switching. Bivalency between languages or dialects is where a word or element is treated by language users as having a fundamentally similar semantic content in more than one language or dialect. Arabic dialect...El-Haj, Mahmoud ; Rayson, Paul ; Aboelezz, Mariam
Arabic, machine learning, dialects, language identification, NLP, and bivalency