2 papers
cs.CL2026
Improving Term Evaluation in Machine Translation: Variation Matters
Nicolas Dahan, Ziqian Peng, François Yvon +1
Terminology evaluation in machine translation (MT) usually assumes a single correct target form per source term. However, human translators routinely introduce variation that curre…
cs.CL2026
Large Language Models are Perplexed by some Political Parties
Paul Lerner, François Yvon
Large Language Models (LLMs) are increasingly used, including in political applications, but their political fairness has been little studied. We assess it using perplexity, posing…