# A Rule-based Kurdish Text Transliteration System

arXiv: https://arxiv.org/abs/1811.10278 · HTML: https://mlsanity.com/paper/1811.10278/

## Key facts

- Cited by 13 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Nov 2018.

## Built on by (most cited first, 13 of 13)

- [PALI: A Language Identification Benchmark for Perso-Arabic Scripts](https://mlsanity.com/paper/2304.01322/) (2023)
- [Graphemic Normalization of the Perso-Arabic Script](https://mlsanity.com/paper/2210.12273/) (2022)
- [Connecting the Persian-speaking World through Transliteration](https://mlsanity.com/paper/2502.20047/) (2025)
- [A Formal Description of Sorani Kurdish Morphology](https://mlsanity.com/paper/2109.03942/) (2021)
- [Approaches to Corpus Creation for Low-Resource Language Technology: the Case of Southern Kurdish and Laki](https://mlsanity.com/paper/2304.01319/) (2023)
- [Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communities](https://mlsanity.com/paper/2305.16407/) (2023)
- [Hunspell for Sorani Kurdish Spell Checking and Morphological Analysis](https://mlsanity.com/paper/2109.06374/) (2021)
- [CKMorph: A Comprehensive Morphological Analyzer for Central Kurdish](https://mlsanity.com/paper/2109.08615/) (2021)
- [Automatic Meter Classification of Kurdish Poems](https://mlsanity.com/paper/2102.12109/) (2021)
- [Transliterating Kurdish texts in Latin into Persian-Arabic script](https://mlsanity.com/paper/2110.12374/) (2021)
- [Exploiting Transliterated Words for Finding Similarity in Inter-Language News Articles using Machine Learning](https://mlsanity.com/paper/2206.11860/) (2022)
- [Towards Transliteration between Sindhi Scripts from Devanagari to Perso-Arabic](https://mlsanity.com/paper/2305.07365/) (2023)
- [Shifting from endangerment to rebirth in the Artificial Intelligence Age: An Ensemble Machine Learning Approach for Hawrami Text Classification](https://mlsanity.com/paper/2409.16884/) (2024)

## Abstract (arXiv)

In this article, we present a rule-based approach for transliterating two mostly used orthographies in Sorani Kurdish. Our work consists of detecting a character in a word by removing the possible ambiguities and mapping it into the target orthography. We describe different challenges in Kurdish text mining and propose novel ideas concerning the transliteration task for Sorani Kurdish. Our transliteration system, named Wergor, achieves 82.79% overall precision and more than 99% in detecting the double-usage characters. We also present a manually transliterated corpus for Kurdish.