# Bentz 2017: The Entropy of Words–-Learnability and Expressivity across More than 1000 Languages

> Christian Bentz, Dimitrios Alikaniotis, Michael Cysouw et al., 2017. 2 records on Mysteries Department cite it. The book refits its cross-linguistic…

Source: https://mysteriesdept.com/sources/SRC08JJ52BR3P5M/the-entropy-of-words-learnability-and-expressivity-across  
Publisher: Mysteries Department  
Licence: CC BY 4.0 (credit Mysteries Department and link the page)  

---

[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Bentz 2017

**0**

# The Entropy of Words–-Learnability and Expressivity across More than 1000 Languages

Christian Bentz, Dimitrios Alikaniotis, Michael Cysouw et al., 2017. _Entropy_ 19(6): 275.

Estimates word entropy in 1,259 languages from three parallel corpora, dealing with the effects of text size, register and estimation method. Unigram entropies fall in a narrow range and track the entropy rate closely.

**Voynich Manuscript** Articledoi: **[10.3390/e19060275](https://doi.org/10.3390/e19060275)** Checked against the original0

## What it's used for here

The book refits its cross-linguistic relation between word entropy and entropy rate and places the Voynich text against it; the linguistics and datasets survey ranks this test first among under-tried techniques.

## Cited by on this site 2 records

[Reading Without a Key](https://mysteriesdept.com/sources/SRC0D8NJAWT22V4/reading-without-a-key)

The book, version 2.0

SRC

[1 methods surveys]

Linguistics

SRC

## Cite it

```
Bentz, C., Alikaniotis, D., Cysouw, M., & Ferrer-i-Cancho, R. (2017). The Entropy of Words–-Learnability and Expressivity across More than 1000 Languages. Entropy, 19(6), 275. https://doi.org/10.3390/e19060275
```

[Read it free at doi.org](https://doi.org/10.3390/e19060275)

Key

**SRC** 08JJ52BR3P5M

Kind

Journal article

Rights

CC-BY

Checked

Against the published article

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/SRC08JJ52BR3P5M/the-entropy-of-words-learnability-and-expressivity-across/csl.json)