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Aelius Brazilian Portuguese POS-Tagger and Corpus Annotation Tool http://sourceforge.net/projects/aelius/
Author: Leonel F. de Alencar <leonel.de.alencar@ufc.br>
Copyright (C) 2010-2011 Leonel F. de Alencar
For license information, see LICENSE.txt
Aelius is a suite of Python, NLTK-based modules and language data for training and evaluating POS-taggers for Brazilian Portuguese and annotating corpora in this language variety.
Documentation: help(function_name)
Mailing Lists: see Aelius homepage
Contributing: If you would like to contribute to Aelius,
please see Aelius homepage
Donating: Have you found the toolkit helpful? Please support Aelius development
by donating to the project via PayPal, using the link on the Aelius homepage.
Redistributing: Aelius source code is distributed under the Apache 2.0 License.
Aelius documentation is distributed under the Creative Commons
Attribution-Noncommercial-No Derivative Works 3.0 United States license.
Aelius corpora and language models are provided under the terms
given in the README and/or LICENSE file
for these corpora and language models; all are redistributable, and available for non-commercial use.
Aelius may be freely redistributed, subject to the provisions of these licenses.
Citing: If you publish work that uses Aelius, please cite the following:
Alencar, Leonel Figueiredo de. Aelius: uma ferramenta para anotação automática de corpora usando o NLTK. ELC 2010, The 9th Brazilian Corpus Linguistics Meeting, Porto Alegre, Brazil, Rio Grande do Sul Catholic University (PUCRS), October 8 and 9, 2010. http://corpuslg.org/gelc/elc2010.php?paged=2http://corpuslg.org/gelc/media/blogs/elc2010/slides/Figueiredo_de_Alencar.pdf
Acknowledgments: my Computational Linguistics students at the Universidade Federal do Ceará; Marcel Caraciolo for some code improvement suggestions and feedback on the Aelius documentation.
This file is based on NTLK's README.txt
http://code.google.com/p/nltk/source/browse/trunk/nltk/README.txt

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Aelius is a suite of Python, NLTK-based modules and language data for training and evaluating POS-taggers for Brazilian Portuguese and annotating corpora in this language variety.

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