✦ LIBER ✦

Part-of-speech tagging

✍ Scribed by Angel R. Martinez

Book ID: 104603013
Publisher: Wiley (John Wiley & Sons)
Year: 2011
Tongue: English
Weight: 134 KB
Volume: 4
Category: Article
ISSN: 0163-1829
DOI: 10.1002/wics.195

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

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

This article is categorized under:

Software for Computational Statistics > Artificial Intelligence and Expert Systems

Data: Types and Structure > Text Data

Statistical Learning and Exploratory Methods of the Data Sciences > Text Mining

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