AI4Culture platform: upskilling experts on multilingual / -modal tools

Tom Vanallemeersch, Sara Szoc, Marthe Lamote, Frederic Everaert, Eirini Kaldeli


Abstract
The AI4Culture project, funded by the European Commission (2023-2025), developed a platform (https://ai4culture.eu) to educate cultural heritage (CH) professionals in AI technologies. Acting as an online capacity building hub, the platform describes openly labeled data sets and deployable and reusable tools applying AI technologies in tasks relevant to the CH sector. It also offers tutorials for tools and recipes for the combination of tools. In addition, the platform allows users to contribute their own resources. The resources described by project partners involve applications for optical or handwritten character recognition (OCR, HTR), generation and validation of subtitles, machine translation, image analysis, and semantic linking. The partners customized various tools to enhance the usability of interfaces and components. Here, we zoom in on the use case of correcting OCR/HTR output using various means (such as an unstructured manual transcription) to facilitate multilingual accessibility and create structured ground truth (text lines with image coordinates).
Anthology ID:
2025.mtsummit-2.20
Volume:
Proceedings of Machine Translation Summit XX: Volume 2
Month:
June
Year:
2025
Address:
Geneva, Switzerland
Editors:
Pierrette Bouillon, Johanna Gerlach, Sabrina Girletti, Lise Volkart, Raphael Rubino, Rico Sennrich, Samuel Läubli, Martin Volk, Miquel Esplà-Gomis, Vincent Vandeghinste, Helena Moniz, Sara Szoc
Venue:
MTSummit
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
99–100
Language:
URL:
https://preview.aclanthology.org/mtsummit-25-ingestion/2025.mtsummit-2.20/
DOI:
Bibkey:
Cite (ACL):
Tom Vanallemeersch, Sara Szoc, Marthe Lamote, Frederic Everaert, and Eirini Kaldeli. 2025. AI4Culture platform: upskilling experts on multilingual / -modal tools. In Proceedings of Machine Translation Summit XX: Volume 2, pages 99–100, Geneva, Switzerland. European Association for Machine Translation.
Cite (Informal):
AI4Culture platform: upskilling experts on multilingual / -modal tools (Vanallemeersch et al., MTSummit 2025)
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PDF:
https://preview.aclanthology.org/mtsummit-25-ingestion/2025.mtsummit-2.20.pdf