The evaluation is carried out for English→Spanish, English→Italian and English→French.ĪB - This paper presents the results of an evaluation of Google Translate, DeepL and Bing Microsoft Translator with reference to natural gender translation and provides statistics about the frequency of female, male and neutral forms in the translations of a list of personality adjectives, and nouns referring to professions and bigender nouns. N2 - This paper presents the results of an evaluation of Google Translate, DeepL and Bing Microsoft Translator with reference to natural gender translation and provides statistics about the frequency of female, male and neutral forms in the translations of a list of personality adjectives, and nouns referring to professions and bigender nouns. T2 - 7th Italian Conference on Computational Linguistics, CLiC-it 2020Ĭopyright © 2020 for this paper by its authors.
T1 - A case study of natural gender phenomena in translation
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