Can machine translation of literary texts fool stylometry?
This article uses standard authorship-attribution stylometry to tell machine translations made with DeepL and Google Translate from human translations. This is done using a Burrows-like distance measure procedure of cluster analysis, later visualized through network analysis. Using a corpus of Frenc...
| Publicado en: | Digital Scholarship in the Humanities Vol. 40; no. 1; pp. 268 - 277 |
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| Formato: | Artículo |
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Oxford University Press / USA
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |