Can AI translate literature? Beyond speed and efficiency, can it convey emotion and context? This book explores the intersection of technology and human interpretation through the translation of Japanese literature, proposing a new meaning for literary translation in the AI ​​era.
Artificial Intelligence Encyclopedia.
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Novelist Rie Kudan, who won the 170th Akutagawa Prize for her novel “Tokyo Tower of Sympathy” (2024), garnered attention by revealing that 5% of the novel was written using generative AI.
He then participated in an AI-based creative experiment hosted by a magazine in March 2025 and published a short story titled "Shadow Rain" that relied 95% on generative AI. It is known that he personally wrote the beginning and end of the novel to set the direction, and the remaining 95% was written through ChatGP.
We inputted a prompt of 200,000 characters for a novel of approximately 4,000 characters, and made the entire prompt public along with the work to show how the creative dialogue and idea structure between the AI ​​and the writer took place.
--- From "03_“Japanese Literature and the Use of AI”"

In a competition between AI machine translation and human translation, co-hosted by the International Interpretation and Translation Association, Sejong University, and Sejong Cyber ​​University in February 2017, AI outperformed humans in translation speed, but humans won by a significant margin in three categories: accuracy, linguistic expressiveness, and logical validity.
Regarding this, it was evaluated that 'the translator is not yet able to keep up with humans because it simply translates without understanding the polysemous nature and context of words', and through this, we can confirm that the role of human translators cannot yet be replaced in fields that require creative reinterpretation, such as literary translation.
--- From “05_“Characteristics of Japanese Literature Translation””

This translation method not only reduces the time and effort required for translation, but also offers new opportunities for translators, ultimately holding the potential to improve translation quality. Advances in AI technology are being utilized as tools to increase translation speed and efficiency, freeing translators to take on more creative and strategic roles.
This reduces the workload of translators and provides them with the opportunity to devote more time to creative and professional work.
Ultimately, machine translation post-editing is a crucial process that improves translation quality and produces better results through collaboration between AI and humans.

--- From "08_“The Capabilities of Translators in the AI ​​Era”"