Close Encounters with AI: transcribing multilingual cultural heritage text with AI
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.