Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts
<|reference_start|>Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts: In this paper we present a step-by-step approach to long-form text translation, drawing on established processes in translation studies. Instead of viewing machine translation as a single, monolithic task, we propose a framework that engages language models in a multi-turn interaction, encompassing pre-translation research, drafting, refining, and proofreading, resulting in progressively improved translations. Extensive automatic evaluations using Gemini 1.5 Pro across ten language pairs show that translating step-by-step yields large translation quality improvements over conventional zero-shot prompting approaches and earlier human-like baseline strategies, resulting in state-of-the-art results on WMT2024.<|reference_end|>
@article{briakou2024translating,
    title={Translating Step-by-Step: Decomposing the Translation Process for
  Improved Translation Quality of Long-Form Texts},
    author={Eleftheria Briakou, Jiaming Luo, Colin Cherry, Markus Freitag},
    journal={arXiv preprint arXiv:2409.06790},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.06790},
    primaryClass={cs.CL}
}