{"id":11334,"date":"2020-03-22T14:53:16","date_gmt":"2020-03-22T18:53:16","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=11334"},"modified":"2020-03-22T14:53:16","modified_gmt":"2020-03-22T18:53:16","slug":"how-ai-could-help-translate-the-written-language-of-ancient-civilizations","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-ai-could-help-translate-the-written-language-of-ancient-civilizations\/11334\/","title":{"rendered":"How AI Could Help Translate the Written Language of Ancient Civilizations"},"content":{"rendered":"Originally published in University of Chicago News, March 11, 2020 OI, Computer Science scholars collaborate on program to read cuneiform tablets. Twenty-five centuries ago, the \u201cpaperwork\u201d of Persia\u2019s Achaemenid Empire was recorded on clay tablets\u2014tens of thousands of which were discovered in 1933 in modern-day Iran by archaeologists from the University of Chicago\u2019s Oriental Institute. For decades, researchers painstakingly studied and translated these ancient documents by hand, but this manual deciphering process is very difficult, slow and prone to errors. Since the 1990s, scientists have recruited computers to help\u2014with limited success, due to the three-dimensional nature of the <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/how-ai-could-help-translate-the-written-language-of-ancient-civilizations\/11334\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in University of Chicago News, March 11, 2020 OI, Computer Science scholars collaborate on program to read cuneiform tablets. Twenty-five centuries ago, the \u201cpaperwork\u201d of Persia\u2019s Achaemenid Empire was recorded on clay tablets\u2014tens of thousands of which were discovered in 1933 in modern-day Iran by archaeologists from the University of Chicago\u2019s Oriental Institute. [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[879,59,1082,368,230,166,1081],"class_list":["post-11334","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-analytics","tag-ancient-civilizations","tag-artificial-intelligence","tag-data-analytics","tag-data-science","tag-maching-learning"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11334","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=11334"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11334\/revisions"}],"predecessor-version":[{"id":11337,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/11334\/revisions\/11337"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=11334"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=11334"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=11334"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}