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Multilingual Sentence Embeddings for Linguistic-Integrated Reliability Audit

A new study from researchers Ummugul Bezirhan, Ji Yoon Jung, and Matthias von Davier finds that multilingual sentence embeddings can replace translated English input for Linguistic-Integrated Reliability Auditing (LiRA) across 11 PIRLS constructed-response items and three embedding models, with native-language embeddings reproducing translation-based reliability estimates closely and recovering responses excluded after translation failure without meaningful change in reliability.

read1 min views2 publishedJul 21, 2026
Multilingual Sentence Embeddings for Linguistic-Integrated Reliability Audit
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By Ummugul Bezirhan, Ji Yoon Jung, Matthias von DavierSource:

arXiv cs.CLarXiv:2607.17466v1 Announce Type: new 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

embeddingmodels. Native-language embeddings reproduced translation-based reliability estimates closely while recovering responses excluded after translation failure, with no meaningful change in reliability.Get AI news in your inbox

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