public bool FindWord(string word)
{
int dist = Levenshtein.Compute(word, this.nodeWord);
// The word's already in the dictionary!
if (dist == 0)
{
return(true);
}
BKNode child;
if (children.TryGetValue(dist, out child))
{
// We already have another node of equal distance, so add this word to that node's subtree
return(child.FindWord(word));
}
return(false);
}
public IEnumerable <string> FindSuggestions(string word, int tolerance)
{
var suggestions = new List <string>();
int dist = Levenshtein.Compute(word, nodeWord);
if (dist < tolerance)
{
suggestions.Add(nodeWord);
}
foreach (int key in children.Keys)
{
if (key >= dist - tolerance && key <= dist + tolerance)
{
suggestions.AddRange(children[key].FindSuggestions(word, tolerance));
}
}
return(suggestions);
}
public void AddNode(string word)
{
var dist = Levenshtein.Compute(word, nodeWord);
// The word is already in dictionary
if (dist == 0)
{
return;
}
BKNode child;
if (children.TryGetValue(dist, out child))
{
// We already have another node of equal distance, so add this word to that node's subtree
child.AddNode(word);
}
else
{
// We don't have a child of that distance, so a new child is added
children.Add(dist, new BKNode(word));
}
}