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Improving Vietnamese-English Medical Machine Translation (2403.19161v1)

Published 28 Mar 2024 in cs.CL

Abstract: 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.

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Authors (5)
  1. Nhu Vo (1 paper)
  2. Dat Quoc Nguyen (55 papers)
  3. Dung D. Le (20 papers)
  4. Massimo Piccardi (21 papers)
  5. Wray Buntine (56 papers)

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