This study compared three methods for identifying non-mainstream dialect use: listener judgment ratings, type-based counts of non-mainstream pattern use, token- based counts. Correct dialect classifications were made for 88 to 97 percent of participants, although regression algorithms had to be applied to the type- and token-based results. For characterizing the rate of non-mainstream pattern production, the token-based method was superior. (Contains references.) (Author/DB)