Embarrassingly Easy Document-Level MT Metrics: How to Convert Any Pretrained Metric Into a Document-Level Metric. (arXiv:2209.13654v1 [cs.CL])

We hypothesize that existing sentence-level machine translation (MT) metrics
become less effective when the human reference contains ambiguities. To verify
this hypothesis, we present a very simple method for extending pretrained
metrics to incorporate context at the document level. We apply our method to
three popular metrics, BERTScore, Prism, and COMET, and to the reference free
metric COMET-QE. We evaluate the extended metrics on the WMT 2021 metrics
shared task using the provided MQM annotations. Our results show that the …

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