Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/sinaahmadi/wergor
Rule-based Kurdish Transliterator
https://github.com/sinaahmadi/wergor
kurdish kurdish-language-processing transliteration wergor-corpus wergor-transliterator
Last synced: 28 days ago
JSON representation
Rule-based Kurdish Transliterator
- Host: GitHub
- URL: https://github.com/sinaahmadi/wergor
- Owner: sinaahmadi
- License: mit
- Created: 2017-08-10T00:24:14.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2024-05-03T10:42:14.000Z (7 months ago)
- Last Synced: 2024-08-04T01:18:14.447Z (4 months ago)
- Topics: kurdish, kurdish-language-processing, transliteration, wergor-corpus, wergor-transliterator
- Language: Python
- Size: 258 KB
- Stars: 8
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-kurdish - Wergor for transliteration
README
# Wergor transliterator
## Transliteration system for Kurdish##### ⭐ **Since 2020, this project is now part of the Kurdish Language Processing Toolkit (KLPT): [https://github.com/sinaahmadi/klpt].**
[Wergor](https://github.com/sinaahmadi/wergor) is a transliteration system for Sorani Kurdish Latin-based and Arabic-based orthographies. In this first version, we have used a rule-based method. It is the result of a research project published in the ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) and can be downloaded here: [https://dl.acm.org/citation.cfm?id=3278623](https://dl.acm.org/citation.cfm?id=3278623)
### Usage
The script can be used in command-line or directly by importing the `Wergor class` in your codes.#### Command-line usage
~~~
python Wergor.py - .txt
~~~
Currently `-arabic2latin` and `-latin2arabic` are the only defined modes. The input file should be in `.txt` format. By running the script, the output file is automatically created in the same directory with "_transliterated" added to the name of the input file.#### Importing *Wergor* class in the *Wergor* module
~~~python
import Wergor
# Arabic to Latin transliteration
wergor_transliterator = Wergor.Wergor("-arabic2latin")
print wergor_transliterator._transliterate(u"هەڵاوێر")# Latin to Arabic transliteration
wergor_transliterator = Wergor.Wergor("-latin2arabic")
print wergor_transliterator._transliterate(u"birayetî")# Syllable detection based on the defined patterns (not complete)
wergor_transliterator = Wergor.Wergor("-latin2arabic")
print wergor_transliterator._syllable_detector(u"henase")
~~~This script yields the folowing outputs:
~~~
heławêr
برایەتی
[('CV', 'CV', 'CV'), ('CV', 'CVC', 'V'), ('CVC', 'V', 'CV'), ('CVC', 'VC', 'V')]
~~~Presently the Wergor transliterator only supports UTF-8 encoding. If not interested in getting red lines in your console make sure to encode your strings in UTF-8 or simply add `u` to the beginning of your strings (i.e., `word1 = u"جوان"`).
For each orthography, two text files are provided in the *examples* folder that you can test. Note that `_syllable_detector()` which suggests the possible syllable structures in a given word is not an option for the command-line usage.
### Wergor corpus
If you are interested in the task of transliteration or you are going to study the existing challenges in the Sorani Kurdish text processing more in depth, Wergor corpus can help you. Wergor corpus includes 20k manually transliterated Sorani Kurdish words in the Arabic-based and the Latin-based orthographies.
If you're using a character-level model, you may use `transliteration_data_set.pickle` in the `dataset` folder. This file contains the preprocessed tokens in the corpus. By unpickling this file, you have a list of tuples containing a token with its transliteration. Our tokenization is based on the space delimiter.
### Requirements
* KurdITGroup keyboard ([Download](https://www.kurditgroup.org/downloads)).
* Python 2.7### Reference
If you're using Wergor transliterator in your researches, please don't forget to cite the following paper.~~~
@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}
}
~~~This helps us to also find your work easily.
### License
MIT License
Copyright (c) 2017 Sina Ahmadi
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.### Contact
If you have any questions, suggestions or bug reports, you can contact me at sina.ahmadi at etu.parisdescartes.fr.