# Gaskell 2022: voynich: code and data for Gibberish after all?

> Daniel E. Gaskell, 2022. 4 records on Mysteries Department cite it. The surveys name it as the source of the gibberish corpus used as a control.

Source: https://mysteriesdept.com/sources/SRC0D8MQZME0ZXM/voynich-code-and-data-for-gibberish-after-all  
Publisher: Mysteries Department  
Licence: CC BY 4.0 (credit Mysteries Department and link the page)  

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[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Gaskell 2022

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# voynich: code and data for Gibberish after all?

Daniel E. Gaskell, 2022. _GitHub_.

The code and data behind Gaskell and Bowern's 2022 paper, including the human-produced gibberish samples.

**Voynich Manuscript** SoftwareChecked against the original0

## What it's used for here

The surveys name it as the source of the gibberish corpus used as a control.

## Cited by on this site 4 records

[4 methods surveys]

Signal processing, cryptanalysis, mathematics, encoding procedures

SRC

## Cite it

```
Gaskell, D. E. (2022). voynich: code and data for Gibberish after all?. GitHub. https://github.com/danielgaskell/voynich
```

[Read it free at github.com](https://github.com/danielgaskell/voynich)

Key

**SRC** 0D8MQZME0ZXM

Kind

Software

Rights

unknown

Checked

Against the published original

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/SRC0D8MQZME0ZXM/voynich-code-and-data-for-gibberish-after-all/csl.json)