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