Looking for the latest version? Download Donatus-July-24-2012.zip (142.0 kB)
Name Modified Size Downloads / Week Status
cfg.syn.nltk 2013-09-25 152.4 kB 0
alexp.py 2013-09-25 10.8 kB 0
StanfordParser.py 2012-12-13 5.0 kB 0
LICENSE.txt 2012-07-24 35.1 kB 0
install.html 2012-07-24 14.6 kB 0
INSTALL.odt 2012-07-24 14.2 kB 0
INSTALL.pdf 2012-07-24 83.2 kB 0
README.txt 2012-07-24 1.7 kB 0
Donatus-July-24-2012.zip 2012-07-24 142.0 kB 0
Donatus-Juli-12-2012.zip 2012-07-12 142.5 kB 0
Totals: 10 Items   601.8 kB
Donatus – NLTK-based tools and grammars for deep parsing of Portuguese http://sourceforge.net/projects/donatus/ Author: Leonel F. de Alencar <leonel.de.alencar@ufc.br> Copyright (C) 2010-2012 Leonel F. de Alencar For license information, see LICENSE.txt Donatus is an on-going project consisting of Python, NLTK-based tools and grammars for deep parsing and syntactical annotation of Brazilian Portuguese corpora. It includes a user-friendly graphical user interface for building syntactic parsers with the NLTK, providing some additional functionalities. Documentation: under construction Mailing Lists: see Donatus homepage Contributing: If you would like to contribute to Donatus, please see Donatus homepage Donating: Have you found the toolkit helpful? Please support Donatus development by donating to the project via PayPal, using the link on the Donatus homepage. Redistributing: Donatus source code is distributed under the GNU General Public License, Version 3. Donatus documentation is distributed under the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 United States license. Donatus data are provided under the terms given in the respective README and/or LICENSE files; all are redistributable, and available for non-commercial use. Donatus may be freely redistributed, subject to the provisions of these licenses. Citing: If you publish work that uses Donatus, please cite the following: Alencar, Leonel Figueiredo de. Donatus: uma interface amigável para o estudo da sintaxe formal utilizando a biblioteca em Python do NLTK. Submitted. This file is based on NTLK's README.txt http://code.google.com/p/nltk/source/browse/trunk/nltk/README.txt
Source: README.txt, updated 2012-07-24

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