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A set of APIs that allow you to add spell checking functionality to Java Applications easily. Jazzy is based on most of the algorithms that aspell has; so the suggestions they come up with are very similar. Note that this is not an official release from the jazzy project; it is a release of 0.5.2 with enhancements / bug-fixes as required by the RText SpellChecker project hosted on www.fifesoft.com. The scm urls in this pom indicate where the enhanced source code is hosted

There is a newer version: 0.5.2-rtext-1.4.1-2
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/*
Jazzy - a Java library for Spell Checking
Copyright (C) 2001 Mindaugas Idzelis
Full text of license can be found in LICENSE.txt

This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.

This library 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
Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301  USA
*/
package com.swabunga.spell.engine;

import java.io.BufferedReader;
import java.io.InputStreamReader;

/**
 * This class is based on Levenshtein Distance algorithms, and it calculates how similar two words are.
 * If the words are identical, then the distance is 0. The more that the words have in common, the lower the distance value.
 * The distance value is based on how many operations it takes to get from one word to the other. Possible operations are
 * swapping characters, adding a character, deleting a character, and substituting a character.
 * The resulting distance is the sum of these operations weighted by their cost, which can be set in the Configuration object.
 * When there are multiple ways to convert one word into the other, the lowest cost distance is returned.
 * 
* Another way to think about this: what are the cheapest operations that would have to be done on the "original" word to end up * with the "similar" word? Each operation has a cost, and these are added up to get the distance. *
* * @see com.swabunga.spell.engine.Configuration#COST_REMOVE_CHAR * @see com.swabunga.spell.engine.Configuration#COST_INSERT_CHAR * @see com.swabunga.spell.engine.Configuration#COST_SUBST_CHARS * @see com.swabunga.spell.engine.Configuration#COST_SWAP_CHARS * */ public class EditDistance { /** * Fetches the spell engine configuration properties. */ public static final Configuration config = Configuration.getConfiguration(); /** * get the weights for each possible operation */ static final int costOfDeletingSourceCharacter = config.getInteger(Configuration.COST_REMOVE_CHAR); static final int costOfInsertingSourceCharacter = config.getInteger(Configuration.COST_INSERT_CHAR); static final int costOfSubstitutingLetters = config.getInteger(Configuration.COST_SUBST_CHARS); static final int costOfSwappingLetters = config.getInteger(Configuration.COST_SWAP_CHARS); static final int costOfChangingCase = config.getInteger(Configuration.COST_CHANGE_CASE); /** * Evaluates the distance between two words. * * @param word One word to evaluates * @param similar The other word to evaluates * @return a number representing how easy or complex it is to transform on * word into a similar one. */ public static final int getDistance(String word, String similar) { return getDistance(word,similar,null); } /** * Evaluates the distance between two words. * * @param word One word to evaluates * @param similar The other word to evaluates * @return a number representing how easy or complex it is to transform on * word into a similar one. */ public static final int getDistance(String word, String similar, int[][] matrix) { /* JMH Again, there is no need to have a global class matrix variable * in this class. I have removed it and made the getDistance static final * DMV: I refactored this method to make it more efficient, more readable, and simpler. * I also fixed a bug with how the distance was being calculated. You could get wrong * distances if you compared ("abc" to "ab") depending on what you had setup your * COST_REMOVE_CHAR and EDIT_INSERTION_COST values to - that is now fixed. * WRS: I added a distance for case comparison, so a misspelling of "i" would be closer to "I" than * to "a". */ //Allocate memory outside of the loops. int i; int j; int costOfSubst; int costOfSwap; int costOfDelete; int costOfInsertion; int costOfCaseChange; boolean isSwap; char sourceChar = 0; char otherChar = 0; int a_size = word.length() + 1; int b_size = similar.length() + 1; //Only allocate new memory if we need a bigger matrix. if (matrix == null || matrix.length < a_size || matrix[0].length < b_size) matrix = new int[a_size][b_size]; matrix[0][0] = 0; for (i = 1; i != a_size; ++i) matrix[i][0] = matrix[i - 1][0] + costOfInsertingSourceCharacter; //initialize the first column for (j = 1; j != b_size; ++j) matrix[0][j] = matrix[0][j - 1] + costOfDeletingSourceCharacter; //initalize the first row for (i = 1; i != a_size; ++i) { sourceChar = word.charAt(i-1); for (j = 1; j != b_size; ++j) { otherChar = similar.charAt(j-1); if (sourceChar == otherChar) { matrix[i][j] = matrix[i - 1][j - 1]; //no change required, so just carry the current cost up continue; } costOfSubst = costOfSubstitutingLetters + matrix[i - 1][j - 1]; //if needed, add up the cost of doing a swap costOfSwap = Integer.MAX_VALUE; isSwap = (i != 1) && (j != 1) && sourceChar == similar.charAt(j - 2) && word.charAt(i - 2) == otherChar; if (isSwap) costOfSwap = costOfSwappingLetters + matrix[i - 2][j - 2]; costOfDelete = costOfDeletingSourceCharacter + matrix[i][j - 1]; costOfInsertion = costOfInsertingSourceCharacter + matrix[i - 1][j]; costOfCaseChange = Integer.MAX_VALUE; if (equalIgnoreCase(sourceChar, otherChar)) costOfCaseChange = costOfChangingCase + matrix[i - 1][j - 1]; matrix[i][j] = minimum(costOfSubst, costOfSwap, costOfDelete, costOfInsertion, costOfCaseChange); } } return matrix[a_size - 1][b_size - 1]; } /** * checks to see if the two charactors are equal ignoring case. * @param ch1 * @param ch2 * @return boolean */ private static boolean equalIgnoreCase(char ch1, char ch2) { if (ch1 == ch2) { return true; } else { return (Character.toLowerCase(ch1) == Character.toLowerCase(ch2)); } } static private int minimum(int a, int b, int c, int d, int e) { int mi = a; if (b < mi) mi = b; if (c < mi) mi = c; if (d < mi) mi = d; if (e < mi) mi = e; return mi; } /** * For testing edit distances * @param args an array of two strings we want to evaluate their distances. * @throws java.lang.Exception when problems occurs during reading args. */ public static void main(String[] args) throws Exception { BufferedReader stdin = new BufferedReader(new InputStreamReader(System.in)); int[][] matrix = new int[0][0]; while (true) { String input1 = stdin.readLine(); if (input1 == null || input1.length() == 0) break; String input2 = stdin.readLine(); if (input2 == null || input2.length() == 0) break; System.out.println(EditDistance.getDistance(input1, input2,matrix)); } System.out.println("done"); } }




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