private void MyInit()
{
ISimilarity editdistance = new Leven();
getSimilarity = new Similarity(editdistance.GetSimilarity);
//ISimilarity lexical=new LexicalSimilarity() ;
//getSimilarity=new Similarity(lexical.GetSimilarity) ;
Tokeniser tokeniser = new Tokeniser();
_leftTokens = tokeniser.Partition(_lString);
_rightTokens = tokeniser.Partition(_rString);
if (_leftTokens.Length > _rightTokens.Length)
{
string[] tmp = _leftTokens;
_leftTokens = _rightTokens;
_rightTokens = tmp;
string s = _lString; _lString = _rString; _rString = s;
}
leftLen = _leftTokens.Length - 1;
rightLen = _rightTokens.Length - 1;
Initialize();
}
private void Search_Click(object sender, EventArgs e)
{
int m;
if (Words == null || !Int32.TryParse(max.Text, out m))
{
return;
}
String a = Pattern.Text;
WordList.Items.Clear();
WordList.BeginUpdate();
foreach (String x in Words)
{
if (checkBox1.Checked == true)
{
if ((Leven.damerau_levenshtein_distance(x, Pattern.Text)) <= m)
{
WordList.Items.Add(x);
}
}
if (checkBox1.Checked == false)
{
if ((Leven.Distance(x, Pattern.Text)) <= m)
{
WordList.Items.Add(x);
}
}
}
WordList.EndUpdate();
}
private void MyInit()
{
ISimilarity editdistance = new Leven();
getSimilarity = new Similarity(editdistance.GetSimilarity);
//ISimilarity lexical=new LexicalSimilarity() ;
//getSimilarity=new Similarity(lexical.GetSimilarity) ;
Tokeniser tokeniser = new Tokeniser();
_leftTokens = tokeniser.Partition(_lString);
_rightTokens = tokeniser.Partition(_rString);
if (_leftTokens.Length > _rightTokens.Length)
{
string[] tmp = _leftTokens;
_leftTokens = _rightTokens;
_rightTokens = tmp;
string s = _lString; _lString = _rString; _rString = s;
}
leftLen = _leftTokens.Length - 1;
rightLen = _rightTokens.Length - 1;
Initialize();
}