# Kim 2013: Unsupervised Consonant-Vowel Prediction over Hundreds of Languages

> Young-Bum Kim, Benjamin Snyder, 2013. 2 records on Mysteries Department cite it. The linguistics and datasets survey lists it among vowel/consonant…

Source: https://mysteriesdept.com/sources/SRC0D8MRFR25EZD/unsupervised-consonant-vowel-prediction-over-hundreds-of  
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)Kim 2013

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# Unsupervised Consonant-Vowel Prediction over Hundreds of Languages

Young-Bum Kim, Benjamin Snyder, 2013. _Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)_.

An ACL paper on telling vowels from consonants in an alphabet without supervision, using a model that shares what it learns across many languages.

**Voynich Manuscript** ArticleChecked against the original0

## What it's used for here

The linguistics and datasets survey lists it among vowel/consonant identification methods not yet applied to the Voynich text; the inductive methods survey also cites it.

## Cited by on this site 2 records

[2 methods surveys]

Linguistics, inductive methods

SRC

## Cite it

```
Kim, Y. B., & Snyder, B. (2013). Unsupervised Consonant-Vowel Prediction over Hundreds of Languages. Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). https://aclanthology.org/P13-1150/
```

[Read it free at aclanthology.org](https://aclanthology.org/P13-1150/)[PDF stored here · 10 pages](https://mysteriesdept.com/sources/SRC0D8MRFR25EZD/unsupervised-consonant-vowel-prediction-over-hundreds-of/pdf)

The PDF is the copy aclanthology.org gives away, kept here so the link can't break. Downloads are open to beta members.

Key

**SRC** 0D8MRFR25EZD

Kind

Journal article

Rights

CC-BY-NC-SA-3.0

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/SRC0D8MRFR25EZD/unsupervised-consonant-vowel-prediction-over-hundreds-of/csl.json)