Multilingual Sentence Embeddings for Linguistic-Integrated Reliability Audit
Ummugul Bezirhan, Ji Yoon Jung, Matthias von Davier
cs.CL cs.AI
Abstract
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.
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Classified with taxonomy v2 on Sat, 5 Sept 2026.