# Gai Gutherz 2023: Akkademia: translating Akkadian signs to transcriptions using HMM, MEMM and BiLSTM (code and data repository)

> Gai Gutherz, 2023. 3 records on Mysteries Department cite it. GitHub repository behind gutherz2023akkadian. Python package (pip install akkadian) that…

Source: https://mysteriesdept.com/sources/SRC0DEDGC4Z30M9/akkademia-translating-akkadian-signs-to-transcriptions-using  
Publisher: Mysteries Department  
Licence: CC BY 4.0 (credit Mysteries Department and link the page)  

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[Sources](https://mysteriesdept.com/sources)[Unread cuneiform: half a million tablets and the limits of Sumerian](https://mysteriesdept.com/mysteries/unread-cuneiform)Gai Gutherz 2023

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# Akkademia: translating Akkadian signs to transcriptions using HMM, MEMM and BiLSTM (code and data repository)

Gai Gutherz, 2023.

**Unread cuneiform: half a million tablets and the limits of Sumerian** Software0

## What it's used for here

GitHub repository behind gutherz2023akkadian. Python package (pip install akkadian) that transliterates Unicode cuneiform with HMM (89.5 per cent), MEMM (94 per cent) and BiLSTM (96.7 per cent) sign-reading accuracy on the RINAP training corpus; ships RINAP, RIAo, RIBo, SAAo and Suhu in JSON and TEI. README states CC BY-SA 3.0 while the sidebar shows MIT; licence to be confirmed from the licence file. Used as the open code and data behind the Akkadian machine-translation work.

## Cited by on this site 3 records

[Akkademia: ORACC Akkadian training corpora (RINAP, RIAo, RIBo, SAAo, Suhu) in JSON and TEI](https://mysteriesdept.com/datasets/DAT0DEDS7RYEQHY/akkademia-oracc-akkadian-training-corpora-rinap-riao-ribo)

Dataset

DAT

[Transliteration from already-digitised Unicode signs reaches 96.7 per cent with a BiLSTM, far above any reported…](https://mysteriesdept.com/mysteries/unread-cuneiform/evidence/EVD0DEDXPP57XVA/transliteration-from-already-digitised-unicode-signs-reaches)

Evidence

EVD

[The unread cuneiform: half a million tablets and the limits of Sumerian](https://mysteriesdept.com/mysteries/unread-cuneiform)

The mystery article

MYS

## Cite it

```
Gai Gutherz (2023). Akkademia: translating Akkadian signs to transcriptions using HMM, MEMM and BiLSTM (code and data repository). https://github.com/gaigutherz/Akkademia
```

[Find it at github.com](https://github.com/gaigutherz/Akkademia)

Key

**SRC** 0DEDGC4Z30M9

Kind

Software

Rights

The publisher's

Kept

31 Oct 2026, for editors

Added by

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

The record

Bibliographic records are CC0. Take this one as CSL-JSON, BibTeX or RIS.

[CSL-JSON](https://mysteriesdept.com/sources/SRC0DEDGC4Z30M9/akkademia-translating-akkadian-signs-to-transcriptions-using/csl.json)