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Nicolas M. Dahan

Seton Hall University

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#artificial intelligence Preprint Sep 2026

TermJudge: A Document-Level Metric Judging, Not Counting, Terminology in Machine Translation Evaluation

Existing automatic metrics for evaluating terminological use in machine translation (MT) penalise any divergence from a fixed reference, conflating translation errors with the valid terminological variation that human translators routinely produce. We introduce TermJudge, a document-level terminology metric that assign...

Nicolas M. Dahan, Franccois Yvon, Rachel Bawden · 0 citations
#natural language process... Preprint Sep 2026

Improving Term Evaluation in Machine Translation: Variation Matters

It is argued for variation-aware evaluation that conditions consistency penalties on whether target-side variation mirrors source-side variation, and constraining MT with a glossary improves accuracy and consistency but degrades CTV by suppressing valid variation.

Nicolas M. Dahan, Ziqian Peng, François Yvon et al. · 1 citation · ⚡1

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