Journal: Applied Natural Language Processing Conference
Languages: All Languages
Programming languages: Shell
Project website: http://www.coli.uni-saarland.de/~thorsten/tnt/
Trigrams’n’Tags (TnT) is an efficient statistical part-of-speech tagger. Contrary to claims found elsewhere in the literature, we argue that a tagger based on Markov models performs at least as well as other current approaches, including the Maximum Entropy framework.