Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer

Huiyuan Lai; Antonio Toral; Malvina Nissim

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arXiv · 2203.08552

Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer

Huiyuan Lai·Antonio Toral·Malvina Nissim

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Abstract

We exploit the pre-trained seq2seq model mBART for multilingual text style transfer. Using machine translated data as well as gold aligned English sentences yields state-of-the-art results in the three target languages we consider. Besides, in view of the general scarcity of parallel data, we propose a modular approach for multilingual formality transfer, which consists of two training strategies that target adaptation to both language and task. Our approach achieves competitive performance without monolingual task-specific parallel data and can be applied to other style transfer tasks as well as to other languages.

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Huiyuan Lai, Antonio Toral, Malvina Nissim. 2022-03-16. Multilingual Pre-training with Language and Task Adaptation for Multilingual Text Style Transfer. https://arxiv.org/abs/2203.08552

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