![]() It was first identified by French archaeologists in 1929. Ugaritic on the other hand is a cuneiform early Hebrew language that also dates back some 3000 years. It was first deciphered in 1953 by an architect named Michael Ventris. Linear B is a script that was used by the Mycenaean civilization in the Late Bronze Age, 3000-plus years ago. ( alagunasr /Adobe Stock) Working with Linear B and Ugaritic So far their work has focused on training the system with Linear B and Ugaritic – two ancient languages that have mostly been translated by other means in the past.ĪI ( peshkova /Adobe Stock ) may be the key to deciphering ancient languages. Exploring an Ancient and Undeciphered Language: Eteocypriot and the Amathus Bilingual InscriptionĪnd while the algorithm hasn’t been applied to undeciphered languages such as Olmec, Linear A, or Proto-Elamite script yet, the researchers behind it have shown it’s an advance in translating texts that have enough examples to provide a decent dataset for the algorithms to work with.Reading Between the Lines: Decrypting the Scripts of the Minoans and Mycenaeans. ![]() The Three Distinct Scripts of Knossos: An Unfinished Epic.According to Discover Magazine the project team has ‘devised an algorithm that can begin to match words from unknown languages to related words, or cognates, in languages that share the same root.’ By using computing and linguistics advancements the project is make headway in creating algorithms that will help other researchers decipher ancient texts. Because of that, you could attempt to decode a long-lost language if you understood its relationship to a known progenitor language.”Īnd that knowledge is the basis for the work of a joint team of researchers from MIT’s Computer Science and Artificial Intelligence Lab and the AI project called Google Brain. “While languages change, many of the symbols and how the words and characters are distributed stay relatively constant over time. ![]() How could something like this work? As Big Think points out: Many of them are now dead and forgotten, but a new AI project may be part of the answer in how to decipher the writing of ancient languages. Nifty machines following complex algorithms are helping researchers around the globe as they take on the often monumental task of understanding ancient texts and lost languages.īig Think reports that linguistic experts estimate there have been approximately 31,000 languages spoken throughout human history. With new technology available to us, we’re inching closer to the end of the days when deciphering ancient languages is a painstaking task filled with frustration and confusion. ![]()
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