Papers by Finn Schmidt

1 papers
Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains (2026.findings-acl)

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Challenge: Existing studies that analyze unseen domains vary translation systems, annotators, or evaluation conditions, confounding domain effects with human annotation noise.
Approach: They propose to use human error span annotations to evaluate translations of six translation systems across one seen news domain and two unseen technical domains to address these biases.
Outcome: The proposed model improves on the human annotations in two unseen domains and on the news domains.

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