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(); }