探索ChatGPT在多个领域的机器翻译中增强后编辑的潜力:挑战和机遇
Jeehaan Algaraady1, Mohammad Mahyoob2
1Department of Languages and Translation, Taiz University, Taiz, Yemen.
Frontiers in artificial intelligence
|May 16, 2025
概括
聊天GPT-4o在后编辑阿拉伯语机器翻译方面表现有前途,表现出优越的效率和与人类编辑器相比的流利性. 虽然它在一致性方面表现出色,但它在复杂的术语和细微差别中扎,突出了它作为人类翻译人员支持工具的潜力.
科学领域:
- 自然语言处理 (NLP) 是一种自然语言处理.
- 机器翻译 (MT) 是指机器翻译.
- 人工智能 (AI) 是一种人工智能.
背景情况:
- 后编辑对于提高机器生成翻译 (MGT) 质量至关重要.
- 像ChatGPT-4o这样的大型语言模型 (LLM) 为后编辑提供了高级功能.
- 在翻译工作流程中评估AI工具对于了解它们的影响至关重要.
研究的目的:
- 调查ChatGPT-4o在阿拉伯MGT后编辑中的有效性.
- 评估ChatGPT-4o在提高生产力,准确性,一致性和整体翻译质量的表现.
- 将ChatGPT-4o的后编辑功能与专业的人类翻译器进行比较.
主要方法:
- 来自谷歌翻译的阿拉伯语翻译的比较分析.
- 由专业的人类翻译员和ChatGPT-4o.o.进行后编辑.
- 由三个独立的人类后编辑对后编辑的输出进行评估.
- 使用对联t测试进行统计评估,以测试流性,准确性,连贯性和效率.
主要成果:
- 人类后编辑器在质量指标上通常表现优于ChatGPT-4o.
- 聊天GPT-4o显示了统计学上显著的优异效率 (p=0.015).
- 在人类和ChatGPT-4o后编辑 (p=0.074) 中没有观察到流性的显著差异.
结论:
- 聊天GPT-4o在英语到阿拉伯语后编辑方面表现出色,特别是在流利性和一致性方面.
- 该LLM面临的挑战是语法细微差别,成语和特定领域的专业术语.
- 聊天GPT-4o可以作为一个有价值的支持工具,提高翻译后编辑工作流中的生产力.
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