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 French ...
(2016). Stylometry with R: a package for computational text analysis. R Journal, 8(1), 107–121. https://journal.r-project.org/archive/2016/RJ-2016-007/index.html. Article Google Scholar Eder, M. (2015). Taking stylometry to the limits: Benchmark study on 5,281 texts from “...
Analysts can read texts with these lenses, and argue for interpretations by arguing for how the analyses of many pieces of data support a particular understanding of text(s). By focusing on validating an understanding of the corpus rather than explaining every piece of data, we allow space for...
Robert E. MercerCognitive Engineering LaboratoryNeural Computing and ApplicationsSHAMS, R.; MERCER, R. E. Supervised classification of spam emails with natural language stylometry. Neural Computing and Applications, Springer, v. 27, n. 8, p. 2315-2331, 2016....
Shams, RushdiMercer, RobertNeural Computing & ApplicationsSHAMS, R.; MERCER, R. E. Supervised classification of spam emails with natural language stylometry. Neural Computing and Applications, Springer, v. 27, n. 8, p. 2315-2331, 2016.