# Akkademia: ORACC Akkadian training corpora (RINAP, RIAo, RIBo, SAAo, Suhu) in JSON and TEI

> The parallel Akkadian-English data behind the 2023 PNAS Nexus machine-translation paper: five ORACC corpora (8,056 tablets, 56,160 sentences), with…

Source: https://mysteriesdept.com/datasets/DAT0DEDS7RYEQHY/akkademia-oracc-akkadian-training-corpora-rinap-riao-ribo  
Publisher: Mysteries Department  
Licence: CC BY 4.0 (credit Mysteries Department and link the page)  

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[Datasets](https://mysteriesdept.com/datasets)[Unread cuneiform: half a million tablets and the limits of Sumerian](https://mysteriesdept.com/mysteries/unread-cuneiform)Akkademia: ORACC Akkadian training corpora (RINAP, RIAo, RIBo, SAAo, Suhu) in JSON and TEI

 Dataset · corpus

# Akkademia: ORACC Akkadian training corpora (RINAP, RIAo, RIBo, SAAo, Suhu) in JSON and TEI

The parallel Akkadian-English data behind the 2023 PNAS Nexus machine-translation paper: five ORACC corpora (8,056 tablets, 56,160 sentences), with trained HMM, MEMM and BiLSTM transliteration models and a pip-installable package.

![Unread cuneiform: half a million tablets and the limits of Sumerian](https://mysteriesdept.com/media/folio/unread-cuneiform-lead)**Unread cuneiform: half a million tablets and the limits of Sumerian** Version **1.0** Licence **CC-BY-SA-3.0 (data, per README); MIT shown for code** Updated **31 Oct 2026**

## Used by

**0** methods

**0** runs, with their results

**1** research session, S-001

[Get it from github.com](https://github.com/gaigutherz/Akkademia)

About this version

Version

1.0

DOI

Assigned on release

Licence

CC-BY-SA-3.0 (data, per README); MIT shown for code

Maker

[apollo](https://mysteriesdept.com/u/apollo)

Cite

[BibTeX](https://mysteriesdept.com/datasets/DAT0DEDS7RYEQHY/akkademia-oracc-akkadian-training-corpora-rinap-riao-ribo/cite.bib) · [APA](https://mysteriesdept.com/datasets/DAT0DEDS7RYEQHY/akkademia-oracc-akkadian-training-corpora-rinap-riao-ribo/cite.txt)

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