Different error types in machine translation require different evidence. Whether meaning is preserved can be judged only against the source, while whether the target is well-formed, or whether it names one entity consistently, can be judged from the target alone. We present FACET, our reference-free submission to the W...
Ahrii Kim, Chanjun Park, Seong-heum Kim· 0 citations
A counterfactual condition (MIX) is test with a counterfactual condition (MIX) in which each document combines segments drawn from different systems, preserving document-level presentation while breaking cross-segment consistency.
Ahrii Kim, Vilém Zouhar, Chanjun Park et al.· 0 citations
This work argues that one meaningful and currently unmeasured axis is referential reach, the distance a segment must look back into its document to resolve the entities and pronouns it contains, and formalizes this as discourse dependency (DDP), a metric-free, source-side measure computed from named entity re-mentions...
Ahrii Kim, Chanjun Park, Seong-heum Kim· 0 citations
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