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A Rule-based Kurdish Text Transliteration System

arXiv 1811.10278 ↗First posted 26 Nov 2018cs.CLcited by 13

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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.

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

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Citing papers per year: 2021: 5; 2022: 2; 2023: 4; 2024: 1; 2025: 1.

13 papers.

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  1. 2023PALI: A Language Identification Benchmark for Perso-Arabic Scriptscited by 7
  2. 2022Graphemic Normalization of the Perso-Arabic Scriptcited by 6
  3. 2025Connecting the Persian-speaking World through Transliterationcited by 4
  4. 2021A Formal Description of Sorani Kurdish Morphologycited by 3
  5. 2023Approaches to Corpus Creation for Low-Resource Language Technology: the Case of Southern Kurdish and Lakicited by 2
  6. 2023Script Normalization for Unconventional Writing of Under-Resourced Languages in Bilingual Communitiescited by 2
  7. 2021Hunspell for Sorani Kurdish Spell Checking and Morphological Analysiscited by 1
  8. 2021CKMorph: A Comprehensive Morphological Analyzer for Central Kurdishcited by 1
  9. 2021Automatic Meter Classification of Kurdish Poemscited by 0
  10. 2021Transliterating Kurdish texts in Latin into Persian-Arabic scriptcited by 0
  11. 2022Exploiting Transliterated Words for Finding Similarity in Inter-Language News Articles using Machine Learningcited by 0
  12. 2023Towards Transliteration between Sindhi Scripts from Devanagari to Perso-Arabiccited by 0
1 more
  1. 2024Shifting from endangerment to rebirth in the Artificial Intelligence Age: An Ensemble Machine Learning Approach for Hawrami Text Classificationcited by 0