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What are the benefits and challenges of Computer-Assisted Translation (CAT) Tools? Mª Ángeles García, Pangeanic Machine Learning Project Director, explains what their CAT tool is and how it will be made available for cultural heritage institutions - part of the AI4Culture interviews series.
The cross-disciplinary musical heritage project Polifonia built a Knowledge Graph of music heritage data, improved the FAIRness of existing collections and launched tools for representing and analysing music heritage data. Discover more about the project and the steps it took to create musical (linked) data across existing collections.
EFHA’s Marco Rendina and CrossLang’s AI advisor Tom Vanallemeersch delve into the challenges of automatically transcribing texts. How can Optical Character Recognition (OCR) transcriptions be further enhanced for Machine Translation applications, and how does this benefit cultural heritage institutions? Read the interview - part of the AI4Culture interviews series - to find out.
Why is it important to enrich cultural heritage metadata with linked open data? How can state-of-the-art technologies automate this task? Alexandros Chortaras and Eirini Kaldeli, explain what semantic enrichment is and how cultural heritage organisations can use AI4Culture project tools to improve metadata quality - part of the AI4Culture interviews series.
In a previous post, Dr. Lozana Rossenova explored the introduction of 3D models into the International Image Interoperability Framework (IIIF), emphasising the need for interoperability in digital collections. Significant advancements have been made since then - read on to discover them!
How can crowdsourcing be used and combined with state-of-the-art algorithms in the context of cultural heritage? Spyros Bekiaris, Software Engineer at Datoptron, and Eirini Kaldeli, coordinator of the AI4Culture project, talk with Marco Rendina about a crowdsourcing platform designed for the needs of the cultural heritage sector, as part of the AI4Culture interviews series.
