An artificial intelligence algorithm developed as part of a collaboration between historians and UK-based AI firm DeepMind can help restore ancient Greek texts with 72 per cent accuracy.
The AI can also predict where in the ancient Mediterranean world the texts were originally written with more than 70 per cent accuracy and date them to within a few decades of their agreed-upon date of creation. All of this marks an improvement upon an earlier version of the AI that could only restore ancient texts.
Image Source: Wikimedia via DeepMind
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Sommerschield and her colleagues worked with researchers at DeepMind to get the machine-learning AI – called Ithaca after a Greek island that is famous for being the home of the legendary figure Odysseus – to carry out all three tasks.
To train Ithaca, the team used around 60,000 ancient Greek texts from across the Mediterranean that are already well-studied and known to have been written between 700 BC and AD 500. The team masked some of the characters in the texts and then compared Ithaca’s predictions for this “missing” text with the actual inscriptions.
Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area.
He earned his MLIS degree from Wayne State University in Detroit.
Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.
