Article first published online: 30 SEP 2011
Copyright © 2011 John Wiley & Sons, Inc.
Wiley Interdisciplinary Reviews: Computational Statistics
Volume 4, Issue 1, pages 107–113, January/February 2012
How to Cite
Martinez, A. R. (2012), Part-of-speech tagging. WIREs Comp Stat, 4: 107–113. doi: 10.1002/wics.195
- Issue published online: 14 DEC 2011
- Article first published online: 30 SEP 2011
- natural language processing;
- Hidden Markov models;
- stochastic tagging;
- rule-based tagging
Presented here is a brief state-of-the-art account on part-of-speech (POS) tagging. POS tagging is an essential preprocessing task for many natural language processing goals and applications. Some POS tagging approaches make use of annotated corpora to train computational models to perform the task with minimal human intervention. Rule-based and stochastic methods have been successful, attaining accuracies of 96–97%. Representative approaches of these two methodologies are discussed. WIREs Comp Stat 2012, 4:107–113. doi: 10.1002/wics.195
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