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

The script can be used in command-line or directly by importing the Wergor class in your codes.

python Wergor.py -<mode> <input file>.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.

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.

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.

• KurdITGroup keyboard (Download).
• Python 2.7

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.

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.

If you have any questions, suggestions or bug reports, you can contact me at sina.ahmadi at etu.parisdescartes.fr.