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Austrian Academy releases Apollo, an AI model for ancient Greek papyrus restoration

Apollo designed to fill gaps in damaged papyrus fragments using statistical likelihood

2 Sep 22 · 4d ago · 1 article · 1 source · development 2 of 2

The model is built to identify word divisions in ancient Greek text, weigh socio-political contexts, and fill blanks with the most statistically likely words or passages. This automates work previously requiring specialized scholars to manually restore damaged documents.

Apollo designed to fill gaps in damaged papyrus fragments using statistical likelihood
wired.com

“If I had a machine telling me, 'Here are the three possible words that could fit into that gap,' it would speed up matters considerably.”

Armand D'Angour

Austrian Academy of Science Releasing institutionMistral AI lab partnerSail Reply Technology services partnerStephen Colvin Classics and historical linguistics professor, University College LondonArmand D'Angour Classical languages and literature professor, University of Oxford

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1–2Apollo designed to fill gaps in damaged…
Sep 23Sep 24yesterdaynow · 9:22 AM ET

Reported in the same hours no headline names this development itself — these 1 claim were published in its stretch

  1. 1 outlet The Austrian Academy of Science, Mistral, and Sail Reply plan to launch Apollo, an Ancient Greek LLM trained on ~600M historical Greek words, available for free

    first by Wired, 4d ago

All 2 developments of Austrian Academy releases Apollo, an AI model for ancient… →

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