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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.
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.
This webinar, organised by the Archival Images of AI project and supported by EuropeanaTech, will investigate how we could reuse and remix digital heritage collections to craft better images of AI.
Title:
Better Images of AI / Banana / Plant / Flask / CC-BY 4.0
Have you ever marvelled at how technology can 'understand' the visual world around us? Explore this fascinating topic - and a new tool - with Henk Vanstappen (digital strategist at Datable) and EFHA’s Marco Rendina as part of the AI4Culture interviews series.