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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.
As part of the European Heritage Hub project, the Europeana Foundation has curated a review of the digital policy landscape across Europe, based on the policies available on the Hub’s Policy Monitor. Discover the findings and why they matter!
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.
As Europe - and the world - experiences a record-breaking warm summer, the Environmental Sustainability Practice Task Force of the Europeana Climate Action Community reflects on sustainable digitalisation processes in our sector and shares an interim report from their recent survey.
Leo Cao, who recently received his PhD in Journalism and Media from the University of Texas at Austin, shares his internship experience at Europeana Foundation. His work focused on researching the integration of digital cultural heritage in higher education and organising events for new professionals entering academia or the cultural heritage sector.
