评估谷歌翻译的准确性 在紧急部门的出院说明中
Jossie A Carreras Tartak1, Adrian D Haimovich1, Caroline E Thomas2
1Department of Emergency Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts.
The Journal of emergency medicine
|October 23, 2025
概括
谷歌翻译实现了95%的成功率,在26种语言的急诊部释放指令. 然而,准确性各不相同,5种语言得分低于90%,因此需要进一步的安全研究.
科学领域:
- 医疗信息学 医疗信息学
- 自然语言处理自然语言处理.
- 健康 公平 卫生 公平
背景情况:
- 紧急诊所 (ED) 面临的挑战是为英语水平有限的患者提供及时翻译的出院说明.
- 之前关于谷歌翻译医疗文本准确性的研究已经在不同语言中产生了不一致的结果.
研究的目的:
- 评估谷歌翻译的可接受性和准确性,用于紧急部门 (ED) 释放 (DC) 指令.
- 识别可能预测翻译准确性的语言特征.
主要方法:
- 假设ED DC指令使用谷歌翻译被翻译成26种语言.
- 双语审查员对特定查询的翻译准确性进行了评估.
- 在指令领域和语言类别中分析了准确性.
主要成果:
- 对于ED DC指令翻译,观察到的总体定量成功率为95%.
- 在26种语言中,有16种语言至少有一个指令域得分低于90%的准确度.
- 五种语言 (阿姆哈拉语,法语,奥罗莫语,葡萄牙语,约鲁巴语) 总体得分低于90%.
结论:
- 谷歌翻译显示,在不同语言的ED免费指令中,整体错误率为5%.
- 预测谷歌翻译表现最佳的特定语言是具有挑战性的.
- 需要进行进一步的研究,以确定在临床环境中常规使用谷歌翻译的安全性,而翻译人员的访问限制有限.
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