# Takahira 2016: Entropy Rate Estimates for Natural Language—A New Extrapolation of Compressed Large-Scale Corpora

> Ryosuke Takahira, Kumiko Tanaka-Ishii, Łukasz Dębowski, 2016. 1 records on Mysteries Department cite it. The bioinformatics and signal survey lists it…

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[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Takahira 2016

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# Entropy Rate Estimates for Natural Language—A New Extrapolation of Compressed Large-Scale Corpora

Ryosuke Takahira, Kumiko Tanaka-Ishii, Łukasz Dębowski, 2016. _Entropy_.

Estimates the entropy rate of natural language from very large corpora in six languages by extrapolating compression results to infinite text length. Their answer is that it stays above zero.

**Voynich Manuscript** Articledoi: **[10.3390/e18100364](https://doi.org/10.3390/e18100364)** Checked against the original0

## What it's used for here

The bioinformatics and signal survey lists it among sources on entropy-rate estimation.

## Cited by on this site 1 record

[1 methods surveys]

Signal processing

SRC

## Cite it

```
Takahira, R., Tanaka-Ishii, K., & Dębowski, Ł. (2016). Entropy Rate Estimates for Natural Language—A New Extrapolation of Compressed Large-Scale Corpora. Entropy. https://doi.org/10.3390/e18100364
```

[Read it free at doi.org](https://doi.org/10.3390/e18100364)

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**SRC** 0D8MT5700ZZ8

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