{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-rule-based-kurdish-text-transliteration","title":"A Rule-based Kurdish Text Transliteration System","arxiv_id":"1811.10278","date":"2018-11-26","proceeding":null,"authors":["Sina Ahmadi"],"abstract":"In this article, we present a rule-based approach for transliterating two\nmostly used orthographies in Sorani Kurdish. Our work consists of detecting a\ncharacter in a word by removing the possible ambiguities and mapping it into\nthe target orthography. We describe different challenges in Kurdish text mining\nand propose novel ideas concerning the transliteration task for Sorani Kurdish.\nOur transliteration system, named Wergor, achieves 82.79% overall precision and\nmore than 99% in detecting the double-usage characters. We also present a\nmanually transliterated corpus for Kurdish.","url_abs":"http://arxiv.org/abs/1811.10278v1","url_pdf":"http://arxiv.org/pdf/1811.10278v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-rule-based-kurdish-text-transliteration","repo_url":"https://github.com/sinaahmadi/wergor","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"transliteration","task_name":"Transliteration"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1811.10278","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}