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This article presents a novel method for evaluating human translation using Neural Machine Translation (NMT) as a baseline. Addressing challenges in studying translator styles, the method enables impartial analysis of multiple translators. A case study on comic translators reveals its potential and provides new insights into North American comic book translation practices.
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Bartholomew Hulley (2024) studied this question.
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