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

2021-10-23 11:42:01
Long Doan, Linh The Nguyen, Nguyen Luong Tran, Thai Hoang, Dat Quoc Nguyen
arXiv_CL
     
Abstract

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.

Abstract (translated)

URL

https://arxiv.org/abs/2110.12199

PDF

https://arxiv.org/pdf/2110.12199.pdf

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