Improving Vietnamese-English Medical Machine Translation
<|reference_start|>Improving Vietnamese-English Medical Machine Translation: Machine translation for Vietnamese-English in the medical domain is still an under-explored research area. In this paper, we introduce MedEV -- a high-quality Vietnamese-English parallel dataset constructed specifically for the medical domain, comprising approximately 360K sentence pairs. We conduct extensive experiments comparing Google Translate, ChatGPT (gpt-3.5-turbo), state-of-the-art Vietnamese-English neural machine translation models and pre-trained bilingual/multilingual sequence-to-sequence models on our new MedEV dataset. Experimental results show that the best performance is achieved by fine-tuning "vinai-translate" for each translation direction. We publicly release our dataset to promote further research.<|reference_end|>
@article{vo2024improving,
    title={Improving Vietnamese-English Medical Machine Translation},
    author={Nhu Vo, Dat Quoc Nguyen, Dung D. Le, Massimo Piccardi, Wray Buntine},
    journal={arXiv preprint arXiv:2403.19161},
    year={2024},
    archivePrefix={arXiv},
    eprint={2403.19161},
    primaryClass={cs.CL}
}