Translation Set1→en COMET22
language official site →
COMET-22 is a neural machine translation evaluation metric that uses an ensemble of two models: a COMET estimator trained with Direct Assessments and a multitask model that predicts sentence-level scores and word-level OK/BAD tags. It provides improved correlations with human judgments and increased robustness to critical errors compared to previous metrics.
Methodology
Imported from llm-stats public benchmark metadata. Modality: text. Max score: 1. Categories: language. Language: en. Verified by llm-stats: no.