Cross-linguistic authorship attribution and gender profiling. Machine translation as a method for bridging the language gap.

This study explores the feasibility of cross-linguistic authorship attribution and the author's gender identification using Machine Translation (MT). Computational stylistics experiments were conducted on a Greek blog corpus translated into English using Google's Neural MT. A Random Forest algorithm...

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Bibliographic Details

Published in:	Digital Scholarship in the Humanities Vol. 39; no. 3; pp. 954 - 968
Main Authors:	Mikros, George, Boumparis, Dimitris
Format:	Article
Published:	Oxford University Press / USA Sep2024
Subjects:	Machine translating Random forest algorithms Attribution of authorship Linguistics Authorship
Online Access:	View this record in EBSCOhost