Robust part-of-speech tagging using a hidden Markov model

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Summary

A system for part-of-speech tagging is described, based on a hidden Markov model which can be trained using a corpus of untagged text, which results in a model that correctly tags approximately 96% of the text.

Type
article
Published
1992-07-01
Cited by
518
References
20

Keywords

Computer science, Hidden Markov model, Robustness (evolution), Suffix, Artificial intelligence

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