public static double run(String word1, String word2) {
WS4JConfiguration.getInstance().setMFS(true);
String word1_v = word1.substring(0, word1.indexOf('_'));
String word1_n = word1.substring(word1.indexOf('_') + 1);
String word2_v = word2.substring(0, word2.indexOf('_'));
String word2_n = word2.substring(word2.indexOf('_') + 1);
double s1 = rc.calcRelatednessOfWords(word1_v, word2_v);
double s2 = rc.calcRelatednessOfWords(word1_n, word2_n);
return s1 + s2;
}
public static double similarity(String w1, String w2) {
WS4JConfiguration.getInstance().setMFS(true);
if (w1 != null) w1 = w1.toLowerCase().replaceAll("-", "").replaceAll(" ", "");
if (w2 != null) w2 = w2.toLowerCase().replaceAll("-", "").replaceAll(" ", "");
// double res = 0.0d;
// double res1 = simCalc.calcRelatednessOfWords(w1, w2);
// res = res1;
// double res2 = simCalc.calcRelatednessOfWords(w1.replace('-', ' '),
// w2.replace('-', ' '));
// if (res2 > res)
// res = res2;
// double res3 = simCalc.calcRelatednessOfWords(w1.replaceAll("-", ""),
// w2.replaceAll("-", ""));
// if (res3 > res)
// res = res3;
return simCalc.calcRelatednessOfWords(w1, w2);
}
public static RelatednessCalculator createCalculator() {
ILexicalDatabase db = new NictWordNet();
WS4JConfiguration.getInstance().setMFS(true);
System.out.println("Creating an instance of WuPalmer to calculate similarity between words...");
return new WuPalmer(db);
}