Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts

• URL: http://arxiv.org/abs/2409.06790v1
• Date: Tue, 10 Sep 2024 18:02:21 GMT
• Title: Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts
• Authors: Eleftheria Briakou, Jiaming Luo, Colin Cherry, Markus Freitag,
• Abstract summary: We propose a framework that engages language models in a multi-turn interaction, encompassing pre-translation research, drafting, refining, and proofreading. We show that translating step-by-step yields large translation quality improvements over conventional zero-shot prompting approaches.
• Score: 43.68711076100652
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

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