We previously presented<cite> (Moore, 2014)</cite> a tag dictionary constructed by using the annotated training set to compute a smoothed probability estimate for any possible tag given any possible word, and for each word in the training set, including in the dictionary the tags having an estimated probability greater than a fixed threshold T .