跨方言的阿拉伯语翻译:对大型语言模型的比较分析
Ayah Beidas1, Kousar Mohi1, Fatme Ghaddar1
1Computer Engineering Department, College of Engineering and Petroleum, Kuwait University, Kuwait City, Kuwait.
Frontiers in artificial intelligence
|October 6, 2025
概括
GPT-4在阿拉伯方言翻译方面表现出色,在QADI数据集中表现优于GPT-3.5和Bard (Gemini). 对这些先进的语言模型来说,Few-shot提示没有提供显著的翻译改进.
科学领域:
- 自然语言处理 (NLP) 是一种自然语言处理.
- 人工智能 (AI) 是一种人工智能.
- 计算语言学 计算语言学
背景情况:
- 由于语言差异,阿拉伯方言在NLP中存在独特的挑战.
- 大型语言模型 (LLM) 为多语言通信和文本生成提供了新的可能性.
研究的目的:
- 评估GPT-3.5,GPT-4和Bard (Gemini) 在翻译阿拉伯方言中的表现.
- 为了比较不同的提示技术 (零拍摄和几拍摄) 的阿拉伯方言翻译.
主要方法:
- 在QADI和MADAR数据集上测试了GPT-3.5,GPT-4和Bard (Gemini).
- 评估使用了诸如共弦相似度,句子-BERT,TER,ROUGE和BLEU等指标.
- 对于所有方言,使用了零射击提示;对于突尼斯语,使用了少数射击提示.
主要成果:
- 在QADI数据集上,GPT-4在将现代标准阿拉伯语 (MSA) 翻译成方言阿拉伯语 (DA) 方面显著优于其他模型.
- GPT-4表现出优异的语义相似性和句子重叠识别.
- 在MADAR数据集上,GPT-5表现出强的表现,特别是在句子重叠检测方面.
结论:
- GPT-4是阿拉伯方言翻译的领先模型,特别是在MSA到DA.
- 提示技术,如少量学习,并没有持续地提高翻译性能.
- 法学士课程在跨越不同阿拉伯方言的沟通差距上展现出有前途的潜力.
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