Machine assisted translation of cuneiform texts (Blog Post)
Title: Machine assisted translation of cuneiform texts
Author: Cuneiform Digital Library Initiative
Abstract: The CDLI is delighted to announce that the international research collaboration Machine Translation and Automated Analysis of Cuneiform Languages (MTAAC) has been funded through the Trans-Atlantic Platform Digging into Data Challenge by the American National Endowment for the Humanities, the German Research Foundation, and the Canadian Social Sciences and Humanities Research Council.
Date: 4/3/2017
Primary URL: https://cdli.ucla.edu/?q=news/machine-assisted-translation-cuneiform-texts
Website: Cuneiform Digital Library Initiative

Machine Translation and Automated Analysis of Cuneiform Languages (Web Resource)
Title: Machine Translation and Automated Analysis of Cuneiform Languages
Author: Robert Englund
Author: Heather Baker
Author: Christian Chiarcos
Abstract: The MTAAC project develops and applies new computerized methods to translate and analyze the contents of some 67,000 highly standardized administrative documents from southern Mesopotamia (ancient Iraq) from the 21st century BC. Our methodology, which combines machine learning with statistical and neural machine translation technologies, can then be applied to other ancient languages. This methodology, the translations, and the historical, social and economic data extracted from them, will be offered to the public in open access.
Year: 2016
Primary URL: https://cdli-gh.github.io/mtaac/

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