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arxiv: 2210.05610 · v2 · pith:EVGD7UQ4 · submitted 2022-10-11 · cs.CL · cs.AI

MTet: Multi-domain Translation for English and Vietnamese

Chinh Ngo , Trieu H. Trinh , Long Phan , Hieu Tran , Tai Dang , Hieu Nguyen , Minh Nguyen , Minh-Thang Luong This is my paper

Reviewed by Pithpith:EVGD7UQ4open to challenge →

classification cs.CL cs.AI
keywords translationmtetvietnamesecombiningenglishenglish-vietnamesemodelmulti-domain
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We introduce MTet, the largest publicly available parallel corpus for English-Vietnamese translation. MTet consists of 4.2M high-quality training sentence pairs and a multi-domain test set refined by the Vietnamese research community. Combining with previous works on English-Vietnamese translation, we grow the existing parallel dataset to 6.2M sentence pairs. We also release the first pretrained model EnViT5 for English and Vietnamese languages. Combining both resources, our model significantly outperforms previous state-of-the-art results by up to 2 points in translation BLEU score, while being 1.6 times smaller.

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