Hovy et al. (2020): “You Sound Just Like Your Father” Commercial Machine Translation Systems Include Stylistic Biases
Abstract The main goal of machine translation has been to convey the correct content. Stylistic considerations have been at best secondary. We show that as a consequence, the output of three commercial machine translation systems (Bing, DeepL, Google) make demographically diverse samples from five languages “sound” older and more male than the original. Our findings suggest that translation models reflect demographic bias in the training data. This opens up interesting new research avenues in machine translation to take stylistic considerations into account.Click here to access the article.
Citation Hovy, D.; Bianchi, F.; Fornaciari, T. (2020): “You Sound Just Like Your Father” Commercial Machine Translation Systems Include Stylistic Biases. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics: 1686–1690.