@inproceedings{du-etal-2025-optimising,
    title = "Optimising {C}hat{GPT} for creativity in literary translation: A case study from {E}nglish into {D}utch, {C}hinese, {C}atalan and {S}panish",
    author = "Du, Shuxiang  and
      Arenas, Ana Guerberof  and
      Toral, Antonio  and
      Gerrits, Kyo  and
      Borillo, Josep Marco",
    editor = "Bouillon, Pierrette  and
      Gerlach, Johanna  and
      Girletti, Sabrina  and
      Volkart, Lise  and
      Rubino, Raphael  and
      Sennrich, Rico  and
      Farinha, Ana C.  and
      Gaido, Marco  and
      Daems, Joke  and
      Kenny, Dorothy  and
      Moniz, Helena  and
      Szoc, Sara",
    booktitle = "Proceedings of Machine Translation Summit XX: Volume 1",
    month = jun,
    year = "2025",
    address = "Geneva, Switzerland",
    publisher = "European Association for Machine Translation",
    url = "https://preview.aclanthology.org/mtsummit-25-ingestion/2025.mtsummit-1.44/",
    pages = "578--591",
    ISBN = "978-2-9701897-0-1",
    abstract = "This study examines the variability of ChatGPT{'}s machine translation (MT) outputs across six different configurations in four languages, with a focus on creativity in a literary text. We evaluate GPT translations in different text granularity levels, temperature settings and prompting strategies with a Creativity Score formula. We found that prompting ChatGPT with a minimal instruction yields the best creative translations, with Translate the following text into [TG] creatively at the temperature of 1.0 outperforming other configurations and DeepL in Spanish, Dutch, and Chinese. Nonetheless, ChatGPT consistently underperforms compared to human translation (HT). All the code and data are available at Repository URL will be provided with camera-ready version."
}