1. Can Machine Translation of Literary Texts Fool Stylometry?
- Author
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Rybicki, Jan, Scholger, Walter, Vogeler, Georg, Tasovac, Toma, Baillot, Anne, Raunig, Elisabeth, Scholger, Martina, Steiner, Elisabeth, Centre for Information Modelling, and Helling, Patrick
- Subjects
Paper ,attribution studies and stylometric analysis ,Long Presentation ,Literary studies ,stylometry ,human translation ,network analysis ,network analysis and graphs theory and application ,machine translation ,cluster analysis ,Translation studies - Abstract
This paper shows results of an experiment on 50 French literary texts in human translations into English, and two corresponding corpora translated by Google Translate and DeepL. It shows that the stylometric behavior of machine translations is similar to that of those done by humans – with some notable exceptions.
- Published
- 2023
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