Unsupervised Part-Of-Speech Tagging
1 papers with code • 0 benchmarks • 0 datasets
Marking up a word in a text (corpus) as corresponding to a particular part of speech based on both its definition and its context by using an untagged corpus for training and producing the tagset by induction (Source: Wikipedia).
These leaderboards are used to track progress in Unsupervised Part-Of-Speech Tagging
We tackle unsupervised part-of-speech (POS) tagging by learning hidden Markov models (HMMs) that are particularly well-suited for the problem.