人与机器:人工智能能能胜过ESL学生的翻译吗?
1Department of English, College of Arts, King Faisal University, Al-Ahsa, Saudi Arabia.
Frontiers in artificial intelligence
|July 24, 2025
概括
谷歌翻译 (GT) 产生了比学生更高质量的英语到阿拉伯语翻译. 尽管如此,教授们表现出偏见,偏爱学生的工作,低估AI翻译质量.
科学领域:
- 计算语言学 计算语言学
- 翻译研究 翻译研究
- 教育技术的教育技术
背景情况:
- 神经机器翻译 (NMT) 的进步挑战了对人工智能翻译可靠性的传统观点.
- 教育人员经常对像谷歌翻译 (GT) 这样的AI工具表示怀疑,不鼓励学生使用.
- 人工智能翻译质量的认知可能受到偏见的影响,而不是客观性能.
研究的目的:
- 为了比较谷歌翻译 (GT) 与学生翻译人员生成的英语到阿拉伯语翻译的质量.
- 调查教育工作者对人工智能生成的翻译的潜在感知偏见.
- 为整合人工智能翻译工具在高等教育中的教学策略提供信息.
主要方法:
- 20名沙特大学的英语和翻译专业的学生制作了人类翻译.
- 评价了学生的翻译及其同等的谷歌翻译 (GT).
- 22位经验丰富的教授评价了人类和人工智能生成的翻译的质量.
主要成果:
- 谷歌翻译 (GT) 翻译显著优于学生生成的翻译.
- 教授们表现出一种感知偏见,错误地将更高质量的翻译归因于学生,而质量较低的翻译归因于GT.
- 这凸显了在学术环境中对人工智能产生的内容的普遍偏见.
结论:
- 人工智能辅助的翻译工具,如谷歌翻译 (GT),表现出与学生翻译者相当或超过的质量.
- 建议将人工智能工具整合到翻译培训中,以为学生准备不断变化的就业市场.
- 教师应该制定利用人工智能工具的策略,同时确保基本翻译技能的持续发展.
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