XQ-MEval: A Dataset with Cross-lingual Parallel Quality for Benchmarking Translation Metrics
Researchers introduce XQ-MEval, a benchmark dataset spanning nine language pairs to expose cross-lingual scoring bias in machine translation metrics. The dataset uses semi-automatic error injection and native speaker validation to ensure parallel-quality translations, addressing a gap in systematic evaluation of multilingual systems.
MentionsXQ-MEval · MQM
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