Multilingual and Explainable Text Detoxification with Parallel Corpora

Daryna Dementieva; Nikolay Babakov; Amit Ronen; Abinew Ali Ayele; Naquee Rizwan; Florian Schneider; Xintong Wang; Seid Muhie Yimam; Daniil Moskovskiy; Elisei Stakovskii; Eran Kaufman; Ashraf Elnagar; Animesh Mukherjee; Alexander Panchenko

arXiv · 2412.11691

Multilingual and Explainable Text Detoxification with Parallel Corpora

Daryna Dementieva·Nikolay Babakov·Amit Ronen·Abinew Ali Ayele·Naquee Rizwan·Florian Schneider·Xintong Wang·Seid Muhie Yimam·Daniil Moskovskiy·Elisei Stakovskii·Eran Kaufman·Ashraf Elnagar·Animesh Mukherjee·Alexander Panchenko

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Abstract

Even with various regulations in place across countries and social media platforms (Government of India, 2021; European Parliament and Council of the European Union, 2022, digital abusive speech remains a significant issue. One potential approach to address this challenge is automatic text detoxification, a text style transfer (TST) approach that transforms toxic language into a more neutral or non-toxic form. To date, the availability of parallel corpora for the text detoxification task (Logachevavet al., 2022; Atwell et al., 2022; Dementievavet al., 2024a) has proven to be crucial for state-of-the-art approaches. With this work, we extend parallel text detoxification corpus to new languages -- German, Chinese, Arabic, Hindi, and Amharic -- testing in the extensive multilingual setup TST baselines. Next, we conduct the first of its kind an automated, explainable analysis of the descriptive features of both toxic and non-toxic sentences, diving deeply into the nuances, similarities, and differences of toxicity and detoxification across 9 languages. Finally, based on the obtained insights, we experiment with a novel text detoxification method inspired by the Chain-of-Thoughts reasoning approach, enhancing the prompting process through clustering on relevant descriptive attributes.

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Daryna Dementieva, Nikolay Babakov, Amit Ronen, Abinew Ali Ayele, Naquee Rizwan, Florian Schneider, Xintong Wang, Seid Muhie Yimam, Daniil Moskovskiy, Elisei Stakovskii, Eran Kaufman, Ashraf Elnagar, Animesh Mukherjee, Alexander Panchenko. 2024-12-16. Multilingual and Explainable Text Detoxification with Parallel Corpora. https://arxiv.org/abs/2412.11691

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