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https://github.com/nino-cunei/oldbabylonian
10 April 2019, 10:45:51 UTC
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Revision 195bae1900a0df8df7661232c2e0eb1e471e1e73 authored by Dirk Roorda on 08 March 2019, 21:21:06 UTC, committed by Dirk Roorda on 08 March 2019, 21:21:06 UTC
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Tip revision: 195bae1900a0df8df7661232c2e0eb1e471e1e73 authored by Dirk Roorda on 08 March 2019, 21:21:06 UTC
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README.md
<div>
<img src="docs/images/logo.png" align="left" width="300"/>
<img src="docs/images/ninologo.png" align="right" width="200"/>
<img src="docs/images/tf.png" align="right" width="200"/>
<img src="docs/images/dans.png" align="right" width="100"/>
</div>

Nino-cunei
==========

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.167956619.svg)](https://doi.org/10.5281/zenodo.2579207)

Proto-cuneiform corpora in Text-Fabric
--------------------------------------

This repo is a research environment for the study of cuneiform tablets. You can
run your own programs off-line, and publish your work in online notebooks.

Corpus
------

This repo contains transliterations of Old Babylonian letters (1900-1600 BC).

The data is obtained from [CDLI](https://cdli.ucla.edu), the Cuneiform Digital
Library Initiative.

See also
[about](docs/about.md)
and
[transcription](docs/transcription.md).

Software
--------

The main processing tool is [Text-Fabric](https://github.com/annotation/text-fabric/).
It is instrumental to
turn the analysis of ancient data into computing narratives.

The ecosystem is Python and Jupyter notebooks.

Getting started
===============

Start with the
[tutorial](https://nbviewer.jupyter.org/github/annotation/tutorials/blob/master/oldbabylonian/start.ipynb).

Authors
=======

This repo is joint work of

*   [Dirk Roorda](https://www.linkedin.com/in/dirkroorda/) at
    [DANS](https://www.dans.knaw.nl)
*   [J. Cale Johnson](https://www.birmingham.ac.uk/staff/profiles/caha/johnson-cale.aspx)
    at the
    [University of Birmingham](https://www.birmingham.ac.uk/schools/historycultures/departments/caha/index.aspx)

**To come:**

**N.B.:** Releases of this repo have been archived at [Zenodo](https://zenodo.org).
Click the DOI badge to be taken to the archive. There you find ways to cite this work.

Status
------

This is **work in progress!**

*   2018-02-28 A dedicated TF app for Old Babylonian letters.
    encoding into ATF can be reproduced exactly from the TF source.
*   2018-02-26 Text-Fabric data generated, and throughly checked.
*   2018-01-25 First discussion of converting the Old Babylonian letter corpus when Dirk was visiting
    Cale in Birmingham.

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