# Johnson 2007: Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models

> Mark Johnson, Thomas L. Griffiths, Sharon Goldwater, 2007. 4 records on Mysteries Department cite it. Four surveys propose adaptor grammars for…

Source: https://mysteriesdept.com/sources/SRC0D8MRCJG5DKV/adaptor-grammars-a-framework-for-specifying-compositional  
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# Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models

Mark Johnson, Thomas L. Griffiths, Sharon Goldwater, 2007. _Advances in Neural Information Processing Systems 19_.

Introduces adaptor grammars, probabilistic grammars with a Pitman-Yor process that lets them learn reusable units such as words and morphemes without supervision.

**Voynich Manuscript** Articledoi: **[10.7551/mitpress/7503.003.0085](https://doi.org/10.7551/mitpress/7503.003.0085)** Checked against the original0

## What it's used for here

Four surveys propose adaptor grammars for segmenting the manuscript's words into units.

## Cited by on this site 4 records

[4 methods surveys]

Signal processing, mathematics, linguistics, inductive methods

SRC

## Cite it

```
Johnson, M., Griffiths, T. L., & Goldwater, S. (2007). Adaptor Grammars: A Framework for Specifying Compositional Nonparametric Bayesian Models. Advances in Neural Information Processing Systems 19. https://doi.org/10.7551/mitpress/7503.003.0085
```

[Read it free at doi.org](https://doi.org/10.7551/mitpress/7503.003.0085)

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**SRC** 0D8MRCJG5DKV

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