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Natural Language Processing Tools

Natural Language Processing Tools
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Author(s): Justin F. Brunelle (Old Dominion University, USA)and Chutima Boonthum-Denecke (Hampton University, USA)
Copyright: 2012
Pages: 15
Source title: Cross-Disciplinary Advances in Applied Natural Language Processing: Issues and Approaches
Source Author(s)/Editor(s): Chutima Boonthum-Denecke (Hampton University, USA), Philip M. McCarthy (The University of Memphis, USA)and Travis Lamkin (University of Memphis, USA)
DOI: 10.4018/978-1-61350-447-5.ch002

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Abstract

This chapter discusses a subset of Natural Language Processing (NLP) tools available for researchers and enthusiasts of computer science, computational linguistics, and other fields that may utilize or benefit from Natural Language Processing. Several tools are described in this chapter, along with background, algorithms used in brief, usages, and examples. While this chapter is not comprehensive, it provides an extensive exposure to various NLP tools through examples, and it aims at providing an overview of the resources available, and concentrates mainly on open-source applications. Open-source applications were chosen since they are freely available for download by all users. Commonly, open source software provides the code that makes up the tool, and allows for users to inspect the inner-workings of the tools, or even modify them. By using open source examples, readers of this chapter can extend their investigation of NLP tools beyond the pages of this text by investigating the tools outlined.

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