I've now expanded my Lear test script so that it includes all three types of ShingleCloud metric (containment averaged, Jaccard with word tokenization, and Jaccard with character tokenization), NCD, and two types of output from my USM library (text normalized and not normalized). That's running now. So far, it looks as though the normalization in USM adds very little to the execution time, so it still looks faster than SC; it remains to be seen whether it finds more candidate matches or not.