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Nicolas M. Dahan

Seton Hall University

2 papers hereh-index 151.5k citations38 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
affiliations
  • Seton Hall University
HomepageORCID 0000-0002-4410-734X

identity via Semantic Scholar / OpenAlex

collaborators

2 papers

cs.AI2026

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

Nicolas Dahan, Fran{\cc}ois Yvon, Rachel Bawden

Existing automatic metrics for evaluating terminological use in machine translation (MT) penalise any divergence from a fixed reference, conflating translation errors with the vali…

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…

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