Designing the Business Conversation Corpus
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Abstract (arXiv)
While the progress of machine translation of written text has come far in the past several years thanks to the increasing availability of parallel corpora and corpora-based training technologies, automatic translation of spoken text and dialogues remains challenging even for modern systems. In this paper, we aim to boost the machine translation quality of conversational texts by introducing a newly constructed Japanese-English business conversation parallel corpus. A detailed analysis of the corpus is provided along with challenging examples for automatic translation. We also experiment with adding the corpus in a machine translation training scenario and show how the resulting system benefits from its use.
Key facts. Cited by 14 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Aug 2020.
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Citing papers per year: 2021: 1; 2022: 3; 2023: 5; 2024: 4; 2025: 0; 2026: 1.
14 papers.
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- 2022JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpuscited by 17
- 2022MSCTD: A Multimodal Sentiment Chat Translation Datasetcited by 15
- 2023DP-NMT: Scalable Differentially-Private Machine Translationcited by 7
- 2024Enhancing Translation Accuracy of Large Language Models through Continual Pre-Training on Parallel Datacited by 7
- 2023Towards Speech Dialogue Translation Mediating Speakers of Different Languagescited by 4
- 2021Zero-pronoun Data Augmentation for Japanese-to-English Translationcited by 3
- 2023Chat Translation Error Detection for Assisting Cross-lingual Communicationscited by 3
- 2024Generating Diverse Translation with Perturbed kNN-MTcited by 2
- 2024Domain adapted machine translation: What does catastrophic forgetting forget and why?cited by 2
- 2023Context-aware Neural Machine Translation for English-Japanese Business Scene Dialoguescited by 1
- 2024Granularity is crucial when applying differential privacy to text: An investigation for neural machine translationcited by 1
- 2022Zero-shot Cross-lingual Conversational Semantic Role Labelingcited by 0
- 2026CAT-Translate: Building Compact Open-Source Models for Japanese-English Translation19 Jun 2026
- 2024Domain adapted machine translation: What does catastrophic forgetting forget and why?23 Dec 2024
- 2024Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation26 Jul 2024
- 2024Enhancing Translation Accuracy of Large Language Models through Continual Pre-Training on Parallel Data3 Jul 2024
- 2024Generating Diverse Translation with Perturbed kNN-MT14 Feb 2024
- 2023DP-NMT: Scalable Differentially-Private Machine Translation24 Nov 2023
- 2023Context-aware Neural Machine Translation for English-Japanese Business Scene Dialogues20 Nov 2023
- 2023Chat Translation Error Detection for Assisting Cross-lingual Communications2 Aug 2023
- 2023Towards Speech Dialogue Translation Mediating Speakers of Different Languages16 May 2023
- 2023Topic-switch adapted Japanese Dialogue System based on PLATO-222 Feb 2023
- 2022Zero-shot Cross-lingual Conversational Semantic Role Labeling11 Apr 2022
- 2022MSCTD: A Multimodal Sentiment Chat Translation Dataset28 Feb 2022
2 more
- 2022JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpuscited by 17
- 2022MSCTD: A Multimodal Sentiment Chat Translation Datasetcited by 15
- 2023DP-NMT: Scalable Differentially-Private Machine Translationcited by 7
- 2024Enhancing Translation Accuracy of Large Language Models through Continual Pre-Training on Parallel Datacited by 7
- 2023Towards Speech Dialogue Translation Mediating Speakers of Different Languagescited by 4
- 2021Zero-pronoun Data Augmentation for Japanese-to-English Translationcited by 3
- 2023Chat Translation Error Detection for Assisting Cross-lingual Communicationscited by 3
- 2024Generating Diverse Translation with Perturbed kNN-MTcited by 2
- 2024Domain adapted machine translation: What does catastrophic forgetting forget and why?cited by 2
- 2023Context-aware Neural Machine Translation for English-Japanese Business Scene Dialoguescited by 1
- 2024Granularity is crucial when applying differential privacy to text: An investigation for neural machine translationcited by 1
- 2022Zero-shot Cross-lingual Conversational Semantic Role Labelingcited by 0
12 most cited of 14 All 14 (JSON)
- 2026CAT-Translate: Building Compact Open-Source Models for Japanese-English Translation19 Jun 2026
- 2024Domain adapted machine translation: What does catastrophic forgetting forget and why?23 Dec 2024
- 2024Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation26 Jul 2024
- 2024Enhancing Translation Accuracy of Large Language Models through Continual Pre-Training on Parallel Data3 Jul 2024
- 2024Generating Diverse Translation with Perturbed kNN-MT14 Feb 2024
- 2023DP-NMT: Scalable Differentially-Private Machine Translation24 Nov 2023
- 2023Context-aware Neural Machine Translation for English-Japanese Business Scene Dialogues20 Nov 2023
- 2023Chat Translation Error Detection for Assisting Cross-lingual Communications2 Aug 2023
- 2023Towards Speech Dialogue Translation Mediating Speakers of Different Languages16 May 2023
- 2023Topic-switch adapted Japanese Dialogue System based on PLATO-222 Feb 2023
- 2022Zero-shot Cross-lingual Conversational Semantic Role Labeling11 Apr 2022
- 2022MSCTD: A Multimodal Sentiment Chat Translation Dataset28 Feb 2022
12 newest of 14 All 14 (JSON)