My initial experiment clustered all of the tag sequences in the corpus that occurred more than 5000 times, of which there were 753, using themeans algorithm with the ¤ ¦ ¥ -norm or city-block metric applied to the context distributions.
sequences of tags will end up in the same cluster if their context distributions are similar; that is to say if they appear predominantly in similar contexts.