Transcribathon.eu: AI supporting collaborative transcription and enrichment of historical documents
Article No.: 106, Pages 1 - 3
Abstract
This paper presents the Transcribathou.eu tool and Europeana Transcribe, a citizen science initiative which aims at crowdsourcing transcription and enrichment of historical documents made available through the Europeana.eu platform. The public value of this work is internationally recognized through the honorary mention1 awarded within the scope of European Union Prize for Citizen Science. The process for performing a complete digitization of historical documents is described together with AI technologies used for analyzing document content, generating semantic enrichments, clustering and visualizing documents by their topics.
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Annex 1 containing Screenshots showcasing functionality of Transcribathon tool
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Suplementary Materials - Annex 1: Suplementary Materials - Schreenshots Screenshots from the Transcribathon Tools and Europeana Galeries supporting the demonstration of the work presented in this paper.
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References
[1]
Medina Andresel, Sergiu Gordea, and Srdjan Stevanetic. 2023. Curating User Galleries in Europeana using Topic Modeling Technology. In Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments (Corfu, Greece) (PETRA ’23). Association for Computing Machinery, New York, NY, USA, 243–244. https://doi.org/10.1145/3594806.3596524
[2]
Tim Causer, Justin Tonra, and Valerie Wallace. 2012. Transcription maximized; expense minimized? Crowdsourcing and editing The Collected Works of Jeremy Bentham*. Literary and Linguistic Computing 27, 2 (03 2012), 119–137. https://doi.org/10.1093/llc/fqs004 arXiv:https://academic.oup.com/dsh/article-pdf/27/2/119/2746713/fqs004.pdf
[3]
Sergiu Gordea. 2024. Annex 1: Suplementary Materials - Schreenshots for demonstrating the functionality of Transcribathon tool within the context of the AVI2024 demo paper. https://github.com/EnrichEuropeana/Technical-Documentation/blob/master/papers/avi2024/suplements/Annex%201%20-%20Screenshots.pdf
[4]
Jeremy Jenkins. 2018. The British Library, Europeana 1914-1918 and the Memorialization of the Great War. Electronic British Library Journal (2018). https://doi.org/10.23636/1085 arXiv:https://bl.iro.bl.uk/downloads/2e92acf1-60d0-45ed-941d-c9b42615b7a0?locale=en
[5]
Philip Kahle, Sebastian Colutto, Günter Hackl, and Günter Mühlberger. 2017. Transkribus - A Service Platform for Transcription, Recognition and Retrieval of Historical Documents. In 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR), Vol. 04. 19–24. https://doi.org/10.1109/ICDAR.2017.307
[6]
Gundram Leifert, Christel Annemieke Romein, Achim Rabus, Phillip Benjamin Ströbel, Benjamin Kiessling, and Tobias Hödel. 2023. Evaluating State‐of‐the‐Art Handwritten Text Recognition (HTR) Engines; with Large Language Models (LLMs) for Historical Document Digitisation. https://doi.org/10.5281/zenodo.8102666
Index Terms
- Transcribathon.eu: AI supporting collaborative transcription and enrichment of historical documents
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June 2024
578 pages
Copyright © 2024 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 03 June 2024
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- Demonstration
- Research
- Refereed limited
Data Availability
Annex 1 containing Screenshots showcasing functionality of Transcribathon tool https://dl.acm.org/doi/10.1145/3656650.3656730#Annex 1 - Screenshots.pdf
Suplementary Materials - Annex 1: Suplementary Materials - Schreenshots Screenshots from the Transcribathon Tools and Europeana Galeries supporting the demonstration of the work presented in this paper. https://dl.acm.org/doi/10.1145/3656650.3656730#Annex 1 - Screenshots.pdf
Funding Sources
Conference
AVI 2024
AVI 2024: International Conference on Advanced Visual Interfaces 2024
June 3 - 7, 2024
Arenzano, Genoa, Italy
Acceptance Rates
AVI '24 Paper Acceptance Rate 21 of 82 submissions, 26%;
Overall Acceptance Rate 128 of 490 submissions, 26%
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