TnT, which is short for Trigrams'n'Tags, is a statistical part-of-speech tagger from Universitat de Saarlandes. It can be trained on a variety of corpora and languages, and is based on the Viterbi algorithm for second order Markov models. It includes language models for English and German. This program is only available on request.