| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| cfg.syn.nltk | 2013-09-25 | 152.4 kB | |
| alexp.py | 2013-09-25 | 10.8 kB | |
| StanfordParser.py | 2012-12-13 | 5.0 kB | |
| LICENSE.txt | 2012-07-24 | 35.1 kB | |
| install.html | 2012-07-24 | 14.6 kB | |
| INSTALL.odt | 2012-07-24 | 14.2 kB | |
| INSTALL.pdf | 2012-07-24 | 83.2 kB | |
| README.txt | 2012-07-24 | 1.7 kB | |
| Donatus-July-24-2012.zip | 2012-07-24 | 142.0 kB | |
| Donatus-Juli-12-2012.zip | 2012-07-12 | 142.5 kB | |
| Totals: 10 Items | 601.8 kB | 0 |
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