Trigrams’n’Tags
			Year: 2,000		
				
			Journal: Applied Natural Language Processing Conference		
				
			Languages: All Languages		
				
			Programming languages: Shell		
				
			Input data: 
				Sentences
			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.

