探讨ChatGPT在评估第二语言写作准确性方面的潜力

Adam Pfau , Charlene Polio , Yiran Xu
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引用次数: 0

摘要

本研究旨在研究ChatGPT在第二语言写作中测量语言准确性的潜力。我们使用ChatGPT-4处理了5个熟练程度的100篇L2论文,并对ChatGPT识别错误的准确性和召回率进行了手动编码。我们的研究结果表明,在ChatGPT的错误检测和人类编码之间存在很强的相关性(使用一种方法ρ = 0.97,使用另一种方法ρ = 0.94),尽管这种相关性随着熟练程度的降低而减弱。虽然ChatGPT很少识别错误,但它经常低估总错误计数。该研究还强调了ChatGPT的局限性,例如一致性问题,并为未来的研究应用提供了指导方针。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring the potential of ChatGPT in assessing L2 writing accuracy for research purposes

This study investigates ChatGPT's potential for measuring linguistic accuracy in second language writing for research purposes. We processed 100 L2 essays across five proficiency levels with ChatGPT-4 and manually coded for precision and recall with regard to ChatGPT's identification of errors. Our findings indicate a strong correlation (ρ = 0.97 using one method and .94 using another method) between ChatGPT's error detection and human coding, although this correlation diminishes with lower proficiency levels. While ChatGPT infrequently misidentifies errors, it often underestimates the total error count. The study also highlights ChatGPT's limitations, such as the issue of consistency, and provides guidelines for future research applications.

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