public float GetScore(string string1, string string2)
{
Tokeniser tok = new Tokeniser();
tok.UseStemming = false;
_source = tok.Partition(string1);
_target = tok.Partition(string2);
if (_source.Length == 0 || _target.Length == 0)
{
return(0F);
}
float[][] simMatrix = GetSimilarityMatrix(_source, _target);
HeuristicMatcher match = new HeuristicMatcher();
//float score = HeuristicMatcher.ComputeSetSimilarity(simMatrix, 2, 0.3F);
float score = HeuristicMatcher.ComputeSetSimilarity(simMatrix, 1);
return(score);
}
public float GetScore(string string1, string string2)
{
Tokeniser tok=new Tokeniser() ;
tok.UseStemming = false;
_source=tok.Partition(string1) ;
_target=tok.Partition(string2) ;
if (_source.Length == 0 || _target.Length == 0 )
return 0F;
float[][] simMatrix = GetSimilarityMatrix(_source, _target);
HeuristicMatcher match=new HeuristicMatcher() ;
//float score = HeuristicMatcher.ComputeSetSimilarity(simMatrix, 2, 0.3F);
float score = HeuristicMatcher.ComputeSetSimilarity(simMatrix, 1);
return score;
}
