Machine translation (MT) systems are mostly designed to serve the business-to-business and business-to-consumer domains. With machine translation’s increased sophistication, researchers are now taking on the final frontier of literary translation.
Zeynep Yirmibeşoğlu, Olgun Dursun, Harun Dallı, Mehmet Şahin, Ena Hodzik, Sabri Gürses, and Tunga Güngör from Boğaziçi University published a research paper on July 21, 2023, demonstrating that MT systems can be customized to replicate the unique characteristics of a translator’s style in literary translations.
Employing a hybrid methodology and data augmentation techniques, the researchers obtained promising results in producing high-quality literary machine translations with style transfer. This study marks the first attempt in Turkish literary MT to train models specific to a translator’s works, as highlighted by the authors.
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