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Quantitative Methods in Corpus-Based Translation Studies: A practical guide to descriptive translation researchEdited by Michael P. Oakes and Meng Ji
[Studies in Corpus Linguistics 51] 2012
► pp. 231–248
Edited by Michael P. Oakes and Meng Ji
[Studies in Corpus Linguistics 51] 2012
► pp. 231–248
The great mystery of the (almost) invisible translator
Stylometry in translation
Machine-learning stylometric distance methods based on most-frequent-word frequencies are well-accepted and successful in authorship attribution. This study investigates the results of one of these methods, Burrows’s Delta, when applied to translations. Basing the empirical results on a number of corpora of literary translations, it shows that, except for some few highly adaptative translations, Delta usually fails to identify the translator and identifies the author of the original instead.
Cited by
Cited by 19 other publications
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Caballero, Christian, Hiram Calvo & Ildar Batyrshin
2021. On Explainable Features for Translatorship Attribution: Unveiling the Translator’s Style With Causality. IEEE Access 9 ► pp. 93195 ff.
Covington, Michael A., Iris Potter & Tony Snodgrass
2015. Stylometric classification of different translations of the same text into the same language. Digital Scholarship in the Humanities 30:3 ► pp. 322 ff.
Echauri Galván, Bruno & Paula López-García
2023. En páginas interiores: ¿evolución? de la visibilidad paratextual del traductor en la novela histórica publicada en España. Hikma 22:2 ► pp. 103 ff.
Eder, Maciej
2016. Rolling stylometry. Digital Scholarship in the Humanities 31:3 ► pp. 457 ff.
Erlin, Matt, Douglas Knox & Stephen Pentecost
2023. Multi-retranslation and cultural variation. Target. International Journal of Translation Studies 35:2 ► pp. 215 ff.
Franklin, Emma & Michael Oakes
2016. Ngrams and Engrams: the use of structural and conceptual features to discriminate between English translations of religious texts. Corpora 11:3 ► pp. 299 ff.
Gumul, Ewa & Magdalena Bartłomiejczyk
2022. Interpreters’ explicitating styles. Interpreting. International Journal of Research and Practice in Interpreting 24:2 ► pp. 163 ff.
Ketzan, Erik
2024. Modes of Composition and the Durability of Style in Literature. David L. Hoover. Digital Scholarship in the Humanities
Lee, Changsoo
2018. Do language combinations affect translators’ stylistic visibility in translated texts?. Digital Scholarship in the Humanities 33:3 ► pp. 592 ff.
Lee, Changsoo
2022. How do machine translators measure up to human literary translators in stylometric tests?. Digital Scholarship in the Humanities 37:3 ► pp. 813 ff.
Mohamed, Emad, Raheem Sarwar & Sayed Mostafa
2023. Translator attribution for Arabic using machine learning. Digital Scholarship in the Humanities 38:2 ► pp. 658 ff.
Ryu, Jisu, Soonbae Kim, Arthur C. Graesser & Moongee Jeon
2023. Corpus stylistic analysis of literary translation using multilevel linguistic measures. Target. International Journal of Translation Studies 35:4 ► pp. 514 ff.
Saldanha, Gabriela
2014. Style in, and of, Translation. In A Companion to Translation Studies, ► pp. 95 ff.
Saldanha, Gabriela
Sarwar, Raheem & Emad Mohamed
2022. Author verification of Nahj Al-Balagha
. Digital Scholarship in the Humanities 37:4 ► pp. 1210 ff.
Wu, Kan & Dechao Li
2022. Are translated Chinese Wuxia fiction and western heroic literature similar? A stylometric analysis based on stylistic panoramas. Digital Scholarship in the Humanities 37:4 ► pp. 1376 ff.
Wu, Kan & Dechao Li
2023. When Chinese Martial Artists Meet Western Heroes: A Stylometric Comparison of Translated Wuxia Fiction and Western Heroic Literature. In Understanding and Translating Chinese Martial Arts [New Frontiers in Translation Studies, ], ► pp. 91 ff.
Zanettin, Federico
2014. Corpora in Translation. In Translation: A Multidisciplinary Approach, ► pp. 178 ff.
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