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"Buenos dias", "buenas noches" -- this was the first words in a foreign language I heard in my life, as a three-year old boy growing up in developing post-war Western Germany, where the first gastarbeiters had arrived from Spain. Fascinated by the strange sounds, I tried to get to know some more languages, the only opportunity being TV courses of English and French -- there was no foreign language education for pre-teen school children in Germany yet in those days. Read more

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Software Details

Title: Free software for authorship attribution
Submitter: Patrick Juola
Description: We are delighted to announce the release of a new version of JGAAP, the
_Java Graphical Authorship Attribution Program_, by Patrick Juola and his
research team at Duquesne University. For more details, please visit our
wiki at http://www.jgaap.com, from which you can also download both the
software and the source code.

JGAAP, now in version 3.1, is a graphical program to perform text-based
authorship attribution among other forms of text categorization using a
variety of different methods. It uses the Java programming language to
create an easily-extensible framework for solving text classification
problems in a write-once, run-anywhere fashion. Currently available
analytic methods include popular classification techniques such as
nearest-neighbor algorithms using a variety of distances, support vector
machines using a variety of kernels, with many others planned for addition
in the near future.

This program is freely available and released under Open Source guidelines;
we hope that other researchers will help us test and extend this software
for widespread use.

Thank you,

Patrick Juola and the JGAAP development team (John Noecker, Mike Ryan,
Chuck Liddell, Sandy Speer, and Ashley Bernola)

Linguistic Field(s): Computational Linguistics
Text/Corpus Linguistics

LL Issue: 19.2840
Date Posted: 18-Sep-2008

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