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Aspenskog, R. (2026). MenuData: Metadata, Knowledge Organisation, and Human–AI Co-Creation in Computational Analysis of Historical Restaurant Menus. In: : . Paper presented at WASP-HS Winter Conference 2026, Lund, Sweden, 4–6 February, 2026.
Open this publication in new window or tab >>MenuData: Metadata, Knowledge Organisation, and Human–AI Co-Creation in Computational Analysis of Historical Restaurant Menus
2026 (English)Conference paper, Poster (with or without abstract) (Other academic)
National Category
Interdisciplinary Studies in Humanities and Arts Cultural Studies Information Studies
Research subject
Humanities, Library and Information Science
Identifiers
urn:nbn:se:lnu:diva-144262 (URN)
Conference
WASP-HS Winter Conference 2026, Lund, Sweden, 4–6 February, 2026
Funder
Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS)
Note

Ej belagd 260203

Available from: 2026-01-22 Created: 2026-01-22 Last updated: 2026-02-25Bibliographically approved
Aspenskog, R., Johansson, M. & Snickars, P. (2025). Journal Digital Corpus: Swedish Newsreel Transcriptions. Journal of Open Humanities Data, 11, Article ID 44.
Open this publication in new window or tab >>Journal Digital Corpus: Swedish Newsreel Transcriptions
2025 (English)In: Journal of Open Humanities Data, E-ISSN 2059-481X, Vol. 11, article id 44Article in journal (Refereed) Published
Abstract [en]

The Journal Digital Corpus (JDC) is a corpus comprising transcriptions of Swedish historical newsreels, primarily sourced from the SF Veckorevy newsreels produced between the early 1910s and the 1960s. JDC includes transcribed speech from 2,553 newsreels (over two million words) and intertitles from 4,333 videos. Utilising custom-built Python libraries, SweScribe and stum, the corpus facilitates unprecedented access to historical narratives of Swedish modernity. It offers extensive research opportunities across history, cultural studies, linguistics, and media analysis, enabling detailed examinations of societal shifts, media representation, and linguistic developments throughout twentieth-century Sweden. 

Place, publisher, year, edition, pages
Ubiquity Press, 2025
Keywords
newsreel, automatic speech recognition, intertitles, Swedish, corpus, multimodal
National Category
History
Research subject
Humanities, History; Media Studies and Journalism, Media and Communication Science; Humanities, Film Studies
Identifiers
urn:nbn:se:lnu:diva-143946 (URN)10.5334/johd.344 (DOI)001550483300001 ()2-s2.0-105014735260 (Scopus ID)
Available from: 2026-01-12 Created: 2026-01-12 Last updated: 2026-01-20Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0009-0005-4720-3352

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