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Detoxification is a task of generating text in polite style while preservingmeaning and fluency of the original toxic text. Existing detoxification methodsare designed to work in one exact language. This work investigates multilingualand cross-lingual detoxification and the behavior of large multilingual modelslike in this setting. Unlike previous works we aim to make large languagemodels able to perform detoxification without direct fine-tuning in givenlanguage. Experiments show that multilingual models are capable of performingmultilingual style transfer. However, models are not able to performcross-lingual detoxification and direct fine-tuning on exact language isinevitable.

Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models