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Babylonian Engine (under development)

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Atrahasis can help restore damaged parts of cuneiform transliterations denoted by <BRK> (currently up to three at a time). For example:
NAME a <i> šú šá </i> NAME ana </i> NAME lú <i> <BRK> </i> ébabbarra <i> u </i> NAME lú sanga LOCATION <i> iqbi umma </i>
The documentary sources for the political, economic, and social history of ancient Mesopotamia constitute hundreds of thousands of clay tablets inscribed in the cuneiform script. Most tablets are damaged, leaving gaps in the texts written on them. Atrahasis is a machine learning model trained on available digitized daily economic and administrative records from Babylonia under the Persian empire (6th-4th cent. BCE). Version 1.0 is based on data prepared by F. Joannès and his team in the framework of the Achemenet program (CNRS, Nanterre); see more on the Achemenet website . Future versions of the model will be trained on more text corpora, and will allow for specific registered users to upload projects and train them on a specific group of texts.

Akkademia is a tool for automatically transliterating Unicode cuneiform glyphs. To create your own cuneiform glyphs input go to Cuneify, paste your transliteration and copy your glyphs below. Spaces between glyphs are ignored and new lines are maintained, but any input other than glyphs may output noise (e.g. numbers etc.).

We would greatly appreciate feedback on Akkademia or about using Akkademia. Please contact us at dhl.arieluni@gmail.com with any comments or suggestions.

 

 

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