PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation
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Abstract (arXiv)
We introduce a high-quality and large-scale Vietnamese-English parallel dataset of 3.02M sentence pairs, which is 2.9M pairs larger than the benchmark Vietnamese-English machine translation corpus IWSLT15. We conduct experiments comparing strong neural baselines and well-known automatic translation engines on our dataset and find that in both automatic and human evaluations: the best performance is obtained by fine-tuning the pre-trained sequence-to-sequence denoising auto-encoder mBART. To our best knowledge, this is the first large-scale Vietnamese-English machine translation study. We hope our publicly available dataset and study can serve as a starting point for future research and applications on Vietnamese-English machine translation.
Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 18 of its 32 references that are in the map. First posted on arXiv 23 Oct 2021.
Builds on
18 of 32 references.
References · 18
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6 more
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Citing papers per year: 2022: 3; 2023: 2; 2024: 2; 2025: 3; 2026: 2.
12 papers.
- 2023Dolphin: A Challenging and Diverse Benchmark for Arabic NLGcited by 22
- 2025Where Are We? Evaluating LLM Performance on African Languagescited by 10
- 2024Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Modelscited by 6
- 2022MTet: Multi-domain Translation for English and Vietnamesecited by 5
- 2024Improving Vietnamese-English Medical Machine Translationcited by 5
- 2022Enriching Biomedical Knowledge for Low-resource Language Through Large-Scale Translationcited by 4
- 2022A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translationcited by 2
- 2025VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translationcited by 1
- 2025Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks?cited by 1
- 2023Data-Driven Approach for Formality-Sensitive Machine Translation: Language-Specific Handling and Synthetic Data Generationcited by 0
- 2026PiDA: Phonetically-Informed Data Augmentation for Robust Vietnamese Speech Translationcited by 0
- 2026Towards Efficient Simultaneous Inverse Text Normalization with Pretrained Text-to-Text Language Model and Read-Tag-Write Policycited by 0
- 2026Towards Efficient Simultaneous Inverse Text Normalization with Pretrained Text-to-Text Language Model and Read-Tag-Write Policy14 Oct 2026
- 2026PiDA: Phonetically-Informed Data Augmentation for Robust Vietnamese Speech Translation11 Jun 2026
- 2025Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks?27 Jul 2025
- 2025VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation30 May 2025
- 2025Where Are We? Evaluating LLM Performance on African Languages26 Feb 2025
- 2024Improving Vietnamese-English Medical Machine Translation28 Mar 2024
- 2024Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models5 Mar 2024
- 2023Data-Driven Approach for Formality-Sensitive Machine Translation: Language-Specific Handling and Synthetic Data Generation26 Jun 2023
- 2023Dolphin: A Challenging and Diverse Benchmark for Arabic NLG24 May 2023
- 2022MTet: Multi-domain Translation for English and Vietnamese11 Oct 2022
- 2022Enriching Biomedical Knowledge for Low-resource Language Through Large-Scale Translation11 Oct 2022
- 2022A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation8 Aug 2022