 Other metrics have also been applied to vectors of "n"-grams with varying, sometimes better, results.For example, z-scores have been used to compare documents by examining how many standard deviations each "n"-gram differs from its mean occurrence in a large collection, or text corpus, of documents (which form the "background" vector).In the event of small counts, the g-score (also known as g-test) may give better results for comparing alternative models.