Trigram tagger

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A trigram tagger is a statistical part-of-speech tagger based on second order Markov models. It is trained on a text corpus as a method to predict the next word, taking the product of the probabilities of unigram, bigram and trigram. In speech recognition, algorithms utilizing trigram-tagger score better those algorithms utilizing IIMM tagger but less than Net tager

The description of the trigram tagger is provided by Brants in his article "TnT - A Statistical Part-of-Speech Tagger".

  • Kempe Andre (1993). "A stochastic Tagger and an Analysis of Tagging Errors". Universität Stuttgart.


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