These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.
chrF
chrF (CHaRacter-level F-score) is a metric for machine translation evaluation that calculates the similarity between a machine translation output and a reference translation using character n-grams, not word n-grams.
Monitoring chrF across varied domains and time-slices lets engineers spot drops in translation quality early, tightening feedback loops that keep the system robust to distribution shifts.
About the metric
You can click on the links to see the associated metrics
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