用于语言集成可靠性审计的多语言句子嵌入
Multilingual Sentence Embeddings for Linguistic-Integrated Reliability Audit
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中文总结 AI 辅助
研究多语言句子嵌入能否用于语言集成可靠性审计，通过11个PIRLS项目和三个嵌入模型评估，结果显示母语嵌入可紧密再现可靠性估计，恢复被排除回答，可靠性无明显变化。
中文摘要 AI 辅助
多语言评估系统通常依靠翻译进行评分和质量控制。我们评估了多语言句子嵌入能否在11个PIRLS建构反应项目和三个嵌入模型中替代翻译后的英语输入，用于语言集成可靠性审计（LiRA）。母语嵌入能紧密再现基于翻译的可靠性估计，同时恢复翻译失败后被排除的回答，且可靠性无显著变化。
英文摘要
Multilingual assessment systems commonly rely on translation for scoring and quality-control processes. We evaluate whether multilingual sentence embeddings can replace translated English input for Linguistic-Integrated Reliability Auditing (LiRA) across 11 PIRLS constructed-response items and three embedding models. Native-language embeddings reproduced translation-based reliability estimates closely while recovering responses excluded after translation failure, with no meaningful change in reliability.
发表机构
- Boston College（波士顿学院）
机构由 AI 辅助整理，请以论文原文为准。
