Skip to content

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#natural language process... Preprint Sep 2026

FACET at WMT 2026 Automated Translation Quality Evaluation Task

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
#natural language process... Preprint Sep 2026

The Blindness of Document-Level Translation Evaluation

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
#natural language process... Preprint Sep 2026

Discourse Dependency: A Continuous Criterion for Translation Difficulty

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

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.