@inproceedings{bayramoglu-2025-cat,
    title = "{CAT}-{GPT}: A Skopos-Driven, {LLM}-Based Computer-Assisted Translation Tool",
    author = "Bayramo{\u{g}}lu, Pa{\c{s}}a Abdullah",
    editor = {Bouillon, Pierrette  and
      Gerlach, Johanna  and
      Girletti, Sabrina  and
      Volkart, Lise  and
      Rubino, Raphael  and
      Sennrich, Rico  and
      L{\"a}ubli, Samuel  and
      Volk, Martin  and
      Espl{\`a}-Gomis, Miquel  and
      Vandeghinste, Vincent  and
      Moniz, Helena  and
      Szoc, Sara},
    booktitle = "Proceedings of Machine Translation Summit XX: Volume 2",
    month = jun,
    year = "2025",
    address = "Geneva, Switzerland",
    publisher = "European Association for Machine Translation",
    url = "https://preview.aclanthology.org/mtsummit-25-ingestion/2025.mtsummit-2.11/",
    pages = "79--80",
    ISBN = "978-2-9701897-1-8",
    abstract = "This paper introduces CAT-GPT, an innovative Computer-Assisted Translation (CAT) tool designed to address context-awareness and terminological consistency challenges often encountered in standard CAT workflows. Grounded in Skopos theory (Vermeer, 2014) and powered by a Large Language Model (LLM) backend, CAT-GPT integrates context-sensitive segmentation, automatically generated and adjustable translation instructions, and an advanced machine translation component. Comparative observations with a widely used CAT tool (e.g., Trados Studio) suggest that CAT-GPT reduces post-editing effort and improves text-level coherence, especially in specialized or domain-specific scenarios."
}