分析谷歌翻译英译罗语时的词汇错误，提升医疗文本翻译准确性
The Analysis of Lexical Errors in Machine Translation from English into Romanian
- 基于WHO和疫苗说明书等230篇医疗文本，分析谷歌翻译中的词汇错误
- 发现词汇选择不当导致关键信息误传，如药物剂量、副作用描述不准确
- 适合关注机器翻译在医疗领域应用的研究者与从业者参考
本研究聚焦于英语到罗马尼亚语的机器翻译中词汇错误的分析，考察了由谷歌翻译处理的230篇包含官方信息的文本，涵盖世界卫生组织（WHO）、Gavi组织以及患者用药说明书（涉及疫苗或药品活性成分、适应症、用法用量、储存条件、不良反应及警示等）内容，所有文本均与新冠相关。近年来，谷歌持续优化其多语言机器翻译系统以提高准确性和流畅性。本研究旨在通过深入分析词汇错误，提升谷歌翻译在医疗文本中的表现，改进词汇选择能力并减少错误，从而整体提升机器翻译质量。
原文摘要 · Abstract (English)
The research explores error analysis in the performance of translating by Machine Translation from English into Romanian, and it focuses on lexical errors found in texts which include official information, provided by the World Health Organization (WHO), the Gavi Organization, by the patient information leaflet (the information about the active ingredients of the vaccines or the medication, the indications, the dosage instructions, the storage instructions, the side effects and warning, etc.). All of these texts are related to Covid-19 and have been translated by Google Translate, a multilingual Machine Translation that was created by Google. In the last decades, Google has actively worked to develop a more accurate and fluent automatic translation system. This research, specifically focused on improving Google Translate, aims to enhance the overall quality of Machine Translation by achieving better lexical selection and by reducing errors. The investigation involves a comprehensive analysis of 230 texts that have been translated from English into Romanian.
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