java - WordNetSimalarity in large dataset of synsets -

i use wordnet similarity java api measure similarity between 2 synsets such:

 public class wordnetsimalarity {  private static ilexicaldatabase db = new nictwordnet();  private static relatednesscalculator[] rcs = {                  new hirststonge(db), new leacockchodorow(db), new lesk(db),  new wupalmer(db),                   new resnik(db), new jiangconrath(db), new lin(db), new path(db)                  };   public static double computesimilarity( string word1, string word2 ) {          ws4jconfiguration.getinstance().setmfs(true);          double s=0;          ( relatednesscalculator rc : rcs ) {                  s = rc.calcrelatednessofwords(word1, word2);                 // system.out.println( rc.getclass().getname()+"\t"+s );          }          return s;  }  

main class

      public static void main(string[] args) {          long t0 = system.currenttimemillis();           file source = new file ("tagsfiltered.txt");          file target = new file ("fich4.txt");          arraylist<string> slist= new arraylist<>();           try {              if (!target.exists()) target.createnewfile();             scanner scanner = new scanner(source);             printstream psstream= new printstream(target);             while (scanner.hasnext()) {                 slist.add(scanner.nextline());                               }             (int = 0; < slist.size(); i++) {             (int j = i+1; j < slist.size(); j++) {                 psstream.println(slist.get(i)+" "+slist.get(j)+" "+wordnetsimalarity.computesimilarity(slist.get(i), slist.get(j)));             }         }                 psstream.close();         } catch (exception e) {e.printstacktrace();         }            long t1 = system.currenttimemillis();          system.out.println( "done in "+(t1-t0)+" msec." );  } 

my database contain 595 synsets that's mean method computesimilarity called (595*594/2) time compute similarity between 2 words spend more 5000 ms! finalize task need @ least 1 week !!

my question how reduce period !

how ameliorate performances??

i don't think language issue.

you can parallelism. think candidate map reduce , hadoop.