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...

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Publicado en:	Digital Scholarship in the Humanities Vol. 40; no. 1; pp. 268 - 277
Autor principal:	Rybicki, Jan
Formato:	Artículo
Publicado:	Oxford University Press / USA Apr2025
Materias:	Machine translating Literature translations Warping machines Canon (Literature) Stylometry
Acceso en línea:	Ver este registro en EBSCOhost