https://github.com/AsoSoft/Kurdish-G2P-dataset

Datasets for evaluation of Central Kurdish Grapheme-to-Phoneme Conversion systems
https://github.com/AsoSoft/Kurdish-G2P-dataset

g2p grapheme-to-phoneme kurdish-language-processing

Last synced: 28 days ago
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Datasets for evaluation of Central Kurdish Grapheme-to-Phoneme Conversion systems

• Host: GitHub
• URL: https://github.com/AsoSoft/Kurdish-G2P-dataset
• Owner: AsoSoft
• Created: 2019-02-27T14:30:13.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-12-29T20:14:25.000Z (almost 4 years ago)
• Last Synced: 2024-01-28T23:09:08.649Z (11 months ago)
• Topics: g2p, grapheme-to-phoneme, kurdish-language-processing
• Size: 85 KB
• Stars: 4
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

• awesome-kurdish - Evaluation datasets for Kurdish Grapheme-to-Phoneme Conversion systems

README

        
[![DOI](https://zenodo.org/badge/172930780.svg)](https://zenodo.org/badge/latestdoi/172930780)

# Kurdish-G2P-dataset

Datasets for evaluation of Central Kurdish Grapheme-to-Phoneme Conversion systems.

## Format

Central Kurdish words in Standard Arabic script and its corresponding phoneme string separated by tab character. Syllable start is indicated by full stop. For example:

`ئازادی	.ʔa.za.dî`

## Datasets

### AsoSoft Kurdish Corpus most frequent tokens

Manually converted First 5000 most frequent words of AsoSoft Kurdish Corpus presented by:

Veisi, H., MohammadAmini, M., & Hosseini, H. (2019). “Toward Kurdish language processing: Experiments in collecting and processing the AsoSoft text corpus”. Digital Scholarship in the Humanities.

~~~

@article{veisi2020toward,

  title={Toward Kurdish language processing: Experiments in collecting and processing the AsoSoft text corpus},

  author={Veisi, Hadi and MohammadAmini, Mohammad and Hosseini, Hawre},

  journal={Digital Scholarship in the Humanities},

  volume={35},

  number={1},

  pages={176--193},

  year={2020},

  publisher={Oxford University Press}

}

~~~

### Wergor dataset

Manually converted 5041 unique words of document presented by: https://github.com/sinaahmadi/wergor

Ahmadi, S. (2019). “A Rule-Based Kurdish Text Transliteration System”. ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), 18(2), 18.

~~~

@article{ahmadi2019rule,

  title={A Rule-Based Kurdish Text Transliteration System},

  author={Ahmadi, Sina},

  journal={ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)},

  volume={18},

  number={2},

  pages={18},

  year={2019},

  publisher={ACM}

}

~~~