![]() “What does is take the idea of having a dictionary version of hieroglyphs and make a quicker way to identify based on visual similarity,” says Chance Coughenour, a digital archaeologist at Google Arts & Culture. Now, though, Google has decided to help our intrepid tomb raiders by creating “Fabricius,” a machine-learning-based online tool that can near-instantly identify and translate hieroglyphs from photographs, providing three potential translation matches in a matter of moments. “‘Happy birthday’ in Ancient Egyptian was phrased ‘glorious festival of your delivery’-while ‘hello’ translates to ‘greetings to you’.” Also, full-stops are absent, so there’s no indication where a sentence begins or ends. A big clue in reading them is that any people or animals will face the start of the sentence, but with hieroglyphs often incomplete or illegible, there’s no guarantee of such indicators being present. On Whatsapp channel, Twitter, Facebook, Google News, and Instagram.Those mischievous pyramid-builders amped up the confusion further by writing hieroglyphs left-to-right, right-to-left, and top-to-bottom depending on their mood. Moreover, if you wish to develop a tool like this of your own, then you can find its source code on GitHub on Akkademia and the Colaboratory.įollow HT Tech for the latest tech news and reviews, also keep up with us If you wish to try this groundbreaking AI tool, then an early demo version of it is available on The Babylon Engine. Moreover, Akkadian was used for over 3000 years, which led to vast differences in the cuneiform symbols and even dialects during this period, which added to the complexity of translating such an old writing system. The AI model was trained on 50,544 sentences while 2,808 sentences each were reserved for validation and testing purposes. ![]() Researchers combed through images of Cuneiform tablets and even drew samples from an online database from the University of Pennsylvania called Open Richly Annotated Cuneiform Corpus (ORACC). Since the language is so old, the biggest challenge was to find material to train the AI model on. The Akkadian translation tool returned a score of 36.52 for cuneiform to English, and a score of 37.47 for transliterated cuneiform to English, which is “fairly good”, according to Gutherz. While it is difficult to judge what a good translation is, researchers used a machine translation evaluation tool called Best Bilingual Evaluation Understudy 4 (BLEU4) to determine the accuracy.Īccurate BLEU4 scores range from 0-100 with 0 being the lowest and 100 being perfect, which is unprecedented. However, due to the extremely low number of Akkadian readers, translating them into understandable language today has been difficult, but not anymore.Īccording to the research, the AI tool uses a mathematical formula known as Neural Machine Translation (NMT), an artificial neural network that is used to translate text from one language to another. There are millions of clay tablets inscribed with cuneiform in museums, libraries, and galleries today. It was in use from the bronze age to the common era, a period that last nearly 3000 years but hasn't been used in 2000 years. A new and groundbreaking AI project, by a team of archaeologists and computer scientists from Israel, aims to do exactly that by translating a nearly 5000-year-old writing system into English in a manner of seconds, meaning it is a supercharged version of Google Translate! Translating Akkadian CuneiformĬuneiform is a logo-syllabic script with characteristic wedge-shaped impressions that is over 5000 years old. While these amazing tools can help us in accomplishing simple tasks in our daily lives, they can also help uncover the secrets of the past. The emergence of AI tools such as ChatGPT and Google Bard has had a profound impact on how we access and process information, with everything now available with just a prompt and click. The artificial intelligence (AI) revolution has taken the world by storm.
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