改进越南语-英语医学机器翻译
Improving Vietnamese-English Medical Machine Translation
AI总结：
本文构建了约36万句对的越南语-英语医学平行数据集MedEV，并通过多模型对比实验证明微调vinai-translate在两个翻译方向上均取得最佳效果。
摘要：
越南语-英语在医学领域的机器翻译仍是一个尚未充分探索的研究方向。本文介绍了MedEV——一个专为医学领域构建的高质量越南语-英语平行数据集，包含约36万对句子。我们在新的MedEV数据集上进行了广泛实验，比较了Google Translate、ChatGPT（gpt-3.5-turbo）、最先进的越南语-英语神经机器翻译模型以及预训练的双语/多语序列到序列模型。实验结果表明，对“vinai-translate”在每个翻译方向上进行微调可获得最佳性能。我们公开发布该数据集以促进进一步研究。
英文摘要：
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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