Trigrams’n’Tags

Year: 2,000
Journal: Applied Natural Language Processing Conference
Languages: All Languages
Programming languages: Shell
Input data:

Sentences

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.

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