Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts
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Abstract (arXiv)
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.
Key facts. Cited by 31 papers in the map (data through 7 Oct 2026). Builds on 8 of its 24 references that are in the map. First posted on arXiv 10 Sep 2024.
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8 of 24 references.
References · 8
- 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,813
- 2022When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memoriescited by 1,103
- 2024Tower: An Open Multilingual Large Language Model for Translation-Related Taskscited by 205
- 2023Hallucinations in Large Multilingual Translation Modelscited by 126
- 2024(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Textscited by 49
- 2023Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Modelscited by 23
- 2018Fluency Over Adequacy: A Pilot Study in Measuring User Trust in Imperfect MTcited by 21
- 2024Preliminary WMT24 Ranking of General MT Systems and LLMscited by 20
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Citing papers per year: 2024: 4; 2025: 17; 2026: 10.
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- 2024Thinking LLMs: General Instruction Following with Thought Generationcited by 45
- 2025Compositional Translation: A Novel LLM-based Approach for Low-resource Machine Translationcited by 13
- 2024Creative and Context-Aware Translation of East Asian Idioms with GPT-4cited by 10
- 2025Redefining Machine Translation on Social Network Services with Large Language Modelscited by 6
- 2025An Interdisciplinary Approach to Human-Centered Machine Translationcited by 6
- 2025Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinementcited by 5
- 2025TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaborationcited by 5
- 2024Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysiscited by 4
- 2024CoAM: Corpus of All-Type Multiword Expressionscited by 4
- 2025Automatic Input Rewriting Improves Translation with Large Language Modelscited by 4
- 2025Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generationcited by 4
- 2025DMDTEval: An Evaluation and Analysis of LLMs on Disambiguation in Multi-domain Translationcited by 3
19 more
- 2025Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluationscited by 2
- 2025Steering Large Language Models for Machine Translation Personalizationcited by 2
- 2025Translation in the Wildcited by 2
- 2026What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translationcited by 2
- 2025Same evaluation, more tokens: On the effect of input length for machine translation evaluation using Large Language Modelscited by 1
- 2025TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translationcited by 1
- 2025Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotationscited by 1
- 2026STAR : Sentence Translation Alignment Rate for Document-to-Document Machine Translationcited by 1
- 2025Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transportcited by 0
- 2025Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Modelscited by 0
- 2025LangMark: A Multilingual Dataset for Automatic Post-Editingcited by 0
- 2026SAMAS: A Spectrum-Guided Multi-Agent System for Achieving Style Fidelity in Literary Translationcited by 0
- 2026Should We be Pedantic About Reasoning Errors in Machine Translation?cited by 0
- 2026Agentic AI Translate: An Agentic Translator Prototype for Translation as Communication Designcited by 0
- 2026Smarter edits? Post-editing with error highlights and translation suggestionscited by 0
- 2026Translation Analytics for Freelancers II: Benchmarking Local LLMs for Confidential Translation Workflowscited by 0
- 2026DeepTrans Studio: Turning Expert Interventions into Shared Team Knowledge in Agentic Translation Workflowscited by 0
- 2026PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translationcited by 0
- 2026When Does Reasoning Help in Machine Translation? A Hierarchical Analysis of LRM Reasoning Tracescited by 0
- 2026When Does Reasoning Help in Machine Translation? A Hierarchical Analysis of LRM Reasoning Traces18 Sep 2026
- 2026STAR : Sentence Translation Alignment Rate for Document-to-Document Machine Translation27 Aug 2026
- 2026PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation4 Aug 2026
- 2026DeepTrans Studio: Turning Expert Interventions into Shared Team Knowledge in Agentic Translation Workflows29 Jun 2026
- 2026Translation Analytics for Freelancers II: Benchmarking Local LLMs for Confidential Translation Workflows29 May 2026
- 2026Smarter edits? Post-editing with error highlights and translation suggestions20 May 2026
- 2026Agentic AI Translate: An Agentic Translator Prototype for Translation as Communication Design16 May 2026
- 2026What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation13 May 2026
- 2026Should We be Pedantic About Reasoning Errors in Machine Translation?10 Apr 2026
- 2026SAMAS: A Spectrum-Guided Multi-Agent System for Achieving Style Fidelity in Literary Translation23 Feb 2026
- 2025Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations21 Dec 2025
- 2025LangMark: A Multilingual Dataset for Automatic Post-Editing21 Nov 2025
19 more
- 2025TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation12 Aug 2025
- 2025An Interdisciplinary Approach to Human-Centered Machine Translation16 Jun 2025
- 2025TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaboration10 Jun 2025
- 2025Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Models9 Jun 2025
- 2025Translation in the Wild29 May 2025
- 2025Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport29 May 2025
- 2025Steering Large Language Models for Machine Translation Personalization22 May 2025
- 2025Same evaluation, more tokens: On the effect of input length for machine translation evaluation using Large Language Models3 May 2025
- 2025DMDTEval: An Evaluation and Analysis of LLMs on Disambiguation in Multi-domain Translation29 Apr 2025
- 2025Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluations20 Apr 2025
- 2025Redefining Machine Translation on Social Network Services with Large Language Models10 Apr 2025
- 2025Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinement8 Apr 2025
- 2025Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generation6 Mar 2025
- 2025Compositional Translation: A Novel LLM-based Approach for Low-resource Machine Translation6 Mar 2025
- 2025Automatic Input Rewriting Improves Translation with Large Language Models23 Feb 2025
- 2024CoAM: Corpus of All-Type Multiword Expressions24 Dec 2024
- 2024Thinking LLMs: General Instruction Following with Thought Generation14 Oct 2024
- 2024Creative and Context-Aware Translation of East Asian Idioms with GPT-41 Oct 2024
- 2024Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis30 Sep 2024
- 2025TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaborationcited by 5
- 2026SAMAS: A Spectrum-Guided Multi-Agent System for Achieving Style Fidelity in Literary Translationcited by 0
- 2026Agentic AI Translate: An Agentic Translator Prototype for Translation as Communication Designcited by 0
- 2026DeepTrans Studio: Turning Expert Interventions into Shared Team Knowledge in Agentic Translation Workflowscited by 0
- 2026DeepTrans Studio: Turning Expert Interventions into Shared Team Knowledge in Agentic Translation Workflows29 Jun 2026
- 2026Agentic AI Translate: An Agentic Translator Prototype for Translation as Communication Design16 May 2026
- 2026SAMAS: A Spectrum-Guided Multi-Agent System for Achieving Style Fidelity in Literary Translation23 Feb 2026
- 2025TACTIC: Translation Agents with Cognitive-Theoretic Interactive Collaboration10 Jun 2025
- 2024Thinking LLMs: General Instruction Following with Thought Generationcited by 45
- 2025Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotationscited by 1
- 2026Should We be Pedantic About Reasoning Errors in Machine Translation?cited by 0
- 2026When Does Reasoning Help in Machine Translation? A Hierarchical Analysis of LRM Reasoning Tracescited by 0
- 2026When Does Reasoning Help in Machine Translation? A Hierarchical Analysis of LRM Reasoning Traces18 Sep 2026
- 2026Should We be Pedantic About Reasoning Errors in Machine Translation?10 Apr 2026
- 2025Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations21 Dec 2025
- 2024Thinking LLMs: General Instruction Following with Thought Generation14 Oct 2024
- 2025Compositional Translation: A Novel LLM-based Approach for Low-resource Machine Translationcited by 13
- 2024Creative and Context-Aware Translation of East Asian Idioms with GPT-4cited by 10
- 2025Redefining Machine Translation on Social Network Services with Large Language Modelscited by 6
- 2025An Interdisciplinary Approach to Human-Centered Machine Translationcited by 6
- 2025Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinementcited by 5
- 2024CoAM: Corpus of All-Type Multiword Expressionscited by 4
- 2025Automatic Input Rewriting Improves Translation with Large Language Modelscited by 4
- 2025Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generationcited by 4
- 2025DMDTEval: An Evaluation and Analysis of LLMs on Disambiguation in Multi-domain Translationcited by 3
- 2025Translation Analytics for Freelancers: I. Introduction, Data Preparation, Baseline Evaluationscited by 2
- 2025Steering Large Language Models for Machine Translation Personalizationcited by 2
- 2025Translation in the Wildcited by 2
12 most cited of 21 All 21 (JSON)
- 2026PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation4 Aug 2026
- 2026Translation Analytics for Freelancers II: Benchmarking Local LLMs for Confidential Translation Workflows29 May 2026
- 2026Smarter edits? Post-editing with error highlights and translation suggestions20 May 2026
- 2026What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation13 May 2026
- 2025LangMark: A Multilingual Dataset for Automatic Post-Editing21 Nov 2025
- 2025TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation12 Aug 2025
- 2025An Interdisciplinary Approach to Human-Centered Machine Translation16 Jun 2025
- 2025Beyond the Sentence: A Survey on Context-Aware Machine Translation with Large Language Models9 Jun 2025
- 2025Translation in the Wild29 May 2025
- 2025Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport29 May 2025
- 2025Steering Large Language Models for Machine Translation Personalization22 May 2025
- 2025Same evaluation, more tokens: On the effect of input length for machine translation evaluation using Large Language Models3 May 2025
12 newest of 21 All 21 (JSON)