![]() ![]() Not only can a model like this help greatly speed up the process of translation for the researchers, it can also give historians and Assyriologists an opportunity to gain new and more in-depth insights into these ancient civilizations. ![]() The researchers published a paper of their findings May 2 in the journal PNAS Nexus. More specifically, the team was able to develop a neural network that is capable of translating Akkadian and Sumerian cuneiform into English. So, to help them translate the growing number of ancient languages into modern-day ones, Gordin and his colleagues decided to turn to an advanced piece of emerging technology to help: artificial intelligence. As new clay tablets are discovered each year, the task to divine these ancient messages into modern languages becomes more and more daunting. However, there are only so many Assyriologists who are capable of translating these ancient texts. From these findings, researchers known as Assyriologists have been able to decode and translate extinct languages and breathe new life back into them-such as Akkadian, once spoken by people living in the world’s first civilizations in Mesopotamia. These messages-written using a reed stylus pressed into the clay to form wedge-shaped marks to create a script known as cuneiform-are typically thought as the earliest examples of written language in human history.Ībout 600,000 of these cryptic tablets have been unearthed over the past few centuries, and they’ve been steadily piling up in university and museum collections all over the world. In any number of sites around the world home to ancient artifacts and the remains of once-thriving societies, there are clay tablets in the ground with messages that have been waiting to be read for more than 5,000 years. ![]()
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