Translator Style in Technical Classics: A Machine-Learning approach on English Translations of Tian Gong Kai Wu
A translator’s style serves as a vital lens for examining the intricacies of the translation process. This is especially notable in translating technical classics, where a tension arises between the source text’s objective nature and the translator’s subjective stylistic choices. To address this tension, objective methods are required to complement subjective interpretation. A machine-learning approach is uniquely suited to this task, as it can impartially quantify stylistic features to reveal s
