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Multilingual Sentence Embeddings for Linguistic-Integrated Reliability Audit

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Computer Science > Computation and Language

arXiv:2607.17466 (cs)
[Submitted on 20 Jul 2026]

Title:Multilingual Sentence Embeddings for Linguistic-Integrated Reliability Audit

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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.
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
Cite as: arXiv:2607.17466 [cs.CL]
  (or arXiv:2607.17466v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2607.17466
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Ummugul Bezirhan [view email]
[v1] Mon, 20 Jul 2026 01:35:42 UTC (170 KB)
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