This website uses cookies to ensure you get the best experience. By clicking or navigating the site you agree to allow our collection of information through cookies. Check our Privacy policy.
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!
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.
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.