 Good metric performance, across text types or domains, is important for the reusability of the metric.A metric that only works for text in a specific domain is useful, but less useful than one that works across many domains—because creating a new metric for every new evaluation or domain is undesirable.Another important factor in the usefulness of an evaluation metric is to have good correlation, even when working with small amounts of data, that is candidate sentences and reference translations.