# Goldwater 2009: A Bayesian framework for word segmentation: Exploring the effects of context

> Sharon Goldwater, Thomas L. Griffiths, Mark Johnson, 2009. 2 records on Mysteries Department cite it. The surveys list it among unsupervised…

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[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Goldwater 2009

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# A Bayesian framework for word segmentation: Exploring the effects of context

Sharon Goldwater, Thomas L. Griffiths, Mark Johnson, 2009. _Cognition_.

A Bayesian model that segments unbroken speech or text into words, and shows that modelling context between words improves the segmentation.

**Voynich Manuscript** Articledoi: **[10.1016/j.cognition.2009.03.008](https://doi.org/10.1016/j.cognition.2009.03.008)** Checked against the original0

## What it's used for here

The surveys list it among unsupervised word-segmentation methods to run on the text without its spaces.

## Cited by on this site 2 records

[2 methods surveys]

Signal processing, inductive methods

SRC

## Cite it

```
Goldwater, S., Griffiths, T. L., & Johnson, M. (2009). A Bayesian framework for word segmentation: Exploring the effects of context. Cognition. https://doi.org/10.1016/j.cognition.2009.03.008
```

[Find it at doi.org](https://doi.org/10.1016/j.cognition.2009.03.008)

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**SRC** 0D8MR22J01FN

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