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        <namePart type="family">Webber</namePart>
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            <namePart type="given">Rayyan</namePart>
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    <abstract>Offensive language detection and target identification are essential for maintaining respectful online environments. While these tasks have been widely studied for English, comparatively less attention has been given to other language, including Persian and Pashto, and the effectiveness of recent large language models for these languages remains underexplored. To address this gap, we created a comprehensive benchmark of diverse modeling approaches in Persian and Pashto. Our evaluation covers zeroshot, fine-tuned, and cross-lingual transfer settings, analyzing when detection succeeds or fails across different model approaches. This study provides one of the first systematic analyses of offensive language detection and crosslingual transfer between these languages.</abstract>
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%0 Conference Proceedings
%T Benchmarking Offensive Language Detection in Persian and Pashto
%A Bokaei, Zahra
%A Webber, Bonnie
%A Magdy, Walid
%Y Merchant, Rayyan
%Y Megerdoomian, Karine
%S The Proceedings of the First Workshop on NLP and LLMs for the Iranian Language Family
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-371-5
%F bokaei-etal-2026-benchmarking
%X Offensive language detection and target identification are essential for maintaining respectful online environments. While these tasks have been widely studied for English, comparatively less attention has been given to other language, including Persian and Pashto, and the effectiveness of recent large language models for these languages remains underexplored. To address this gap, we created a comprehensive benchmark of diverse modeling approaches in Persian and Pashto. Our evaluation covers zeroshot, fine-tuned, and cross-lingual transfer settings, analyzing when detection succeeds or fails across different model approaches. This study provides one of the first systematic analyses of offensive language detection and crosslingual transfer between these languages.
%U https://aclanthology.org/2026.silkroadnlp-1.2/
%P 13-23

Markdown (Informal)

[Benchmarking Offensive Language Detection in Persian and Pashto](https://aclanthology.org/2026.silkroadnlp-1.2/) (Bokaei et al., SilkRoadNLP 2026)

• Benchmarking Offensive Language Detection in Persian and Pashto (Bokaei et al., SilkRoadNLP 2026)

ACL

• Zahra Bokaei, Bonnie Webber, and Walid Magdy. 2026. Benchmarking Offensive Language Detection in Persian and Pashto. In The Proceedings of the First Workshop on NLP and LLMs for the Iranian Language Family, pages 13–23, Rabat, Morocco. Association for Computational Linguistics.