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k-Met is a phonetic clustering algorithm for grouping words by their approximate pronunciation. It uses fuzzy matching techniques and the double metaphone indexing algorithm.
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README
kMet.py
phonetic_algorithms.py

README

This script implements the k-Met clustering algorithm and is covered under this copyright:

Copyright 2012, Alejandro Mosquera <amsqr2@gmail.com>

This is a phonetic clustering algorithm for grouping words by their approximate pronunciation. 

k-Met uses fuzzy matching techniques and the Double Metaphone indexing algorithm (c) 1998, 1999 by Lawrence Philips.

 This program is free software: you can redistribute it and/or modify
 it under the terms of the GNU General Public License as published by
 the Free Software Foundation, version 3 of the License.

 This program is distributed in the hope that it will be useful,
 but WITHOUT ANY WARRANTY; without even the implied warranty of
 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 GNU General Public License for more details.
 
 You should have received a copy of the GNU General Public License
 along with this program.  If not, see <http://www.gnu.org/licenses/>.
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