Deciphering ancient languages and texts has been a challenge for archaeologists for generations. Now, researchers are using artificial intelligence to quickly translate ancient texts and languages into English—including ancient Cuneiform and Egyptian hieroglyphs.

In a new Oxford Academic report, a group of AI developers details how they were able to use natural language processing (NLP) to translate cuneiform tablets from Akkadian into English.

“Hundreds of thousands of clay tablets inscribed in the cuneiform script document the political, social, economic, and scientific history of ancient Mesopotamia,” the report said. “Yet, most of these documents remain untranslated and inaccessible due to their sheer number and limited quantity of experts able to read them.”

But using AI to read ancient text is not as simple as running a picture through a ChatGPT plugin.

“The main challenge for us is the lack of a large amount of data,” Gai Gutherz, who co-authored the report, told Decrypt in an interview. “There is only a small amount of data you could use to train the models; we managed to get to tens of thousandss [of] examples.”

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Author: Jason Nelson

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