AI helps historians reconstruct ancient Greek inscriptions that have been corrup

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As if being a scholar in Ancient Greece wasn't hard enough, basically.

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The main texts they used were often damaged beyond repair. because it is thousands of years old Historians may have a powerful new tool in Ithaca, a machine learning model built by DeepMind that makes surprisingly accurate predictions of missing words. Location and date of the message It's an unusual application of AI, but one that shows just how useful it can be outside of the tech world.

The problem of incomplete ancient texts arises in many disciplines where experts use degraded materials. The original may be made of stone, clay, or papyrus. Written in Akkadian Ancient Greek or Linear A. and describe anything from grocery store receipts to hero's journeys. What they have in common is the damage they have accumulated over thousands of years.

The spaces where the text are worn or torn are often called lacunae and can be as short as lacunae. with letters that are missing or up to one chapter, or actually the whole story Filling out may be trivial or impossible. But you have to start somewhere — and that's what Ithaca aims to help.

Ithaca (named after Odysseus' home island), trained from a large archive of ancient Greek texts. Not only can one say what the missing word or phrase is likely to be. but can also consider the age of the written word or phrase. It won't fill the entire grand cycle on its own - it's meant to be a tool for those working with these messages, not a solution.