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In this paper, we investigate the effects of machine translation tools on translated texts and the accuracy of authorship and translator attribution of translated texts. We show that the more translation performed on a text by a specific machine translation tool, the more effects unique to that translator are observed. We also propose a novel method to perform machine translator and authorship attribution of translated texts using a feature set that led to 91.13% and 91.54% accuracy on average,doi:10.1109/icsc.2012.46 dblp:conf/semco/CaliskanG12 fatcat:mylm7bgqkrgwlbhmubpthwmptu