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PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation

PHOMT: مجموعة بيانات معيار عالية الجودة وعالية المستوى للترجمة الفيتنامية-الإنجليزية

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 Publication date 2021
and research's language is English
 Created by Shamra Editor




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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. We release our dataset at: https://github.com/VinAIResearch/PhoMT



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