public static double GetPixelCorrespondingRatio(Word w1, Word w2, WordRelation relation)
{
switch (relation)
{
case WordRelation.InLine:
var y1 = w1.BoundingRect.Top;
var y2 = w1.BoundingRect.Bottom;
var y3 = w2.BoundingRect.Top;
var y4 = w2.BoundingRect.Bottom;
if (y1 > y3)
{
return((double)(y4 - y1) / Math.Min(w1.BoundingRect.Height, w2.BoundingRect.Height));
}
return((double)(y2 - y3) / Math.Min(w1.BoundingRect.Height, w2.BoundingRect.Height));
case WordRelation.InColumn:
var x1 = w1.BoundingRect.Left;
var x2 = w1.BoundingRect.Right;
var x3 = w2.BoundingRect.Left;
var x4 = w2.BoundingRect.Right;
if (x1 > x3)
{
return((double)(x4 - x1) / Math.Min(w1.BoundingRect.Width, w2.BoundingRect.Width));
}
return((double)(x2 - x3) / Math.Min(w1.BoundingRect.Width, w2.BoundingRect.Width));
default:
throw new ArgumentOutOfRangeException(nameof(relation), relation, null);
}
}
internal void Merge(WordRelation Relationship)
{
if (Relationship != null)
{
foreach (KeyValuePair <String, WordItem> Item in Relationship.Items)
{
Add(Item.Value);
}
}
}
private void populateSynonyms()
{
if (!isSynonymPopulated)
{
WordRelation relation = new WordRelation();
List <string> words = relation.getSynonymsForWord(CurrentWord.Name);
populateStack(stackSynonym, words);
isSynonymPopulated = true;
}
else
{
depopulateStack(stackSynonym);
WordRelation relation = new WordRelation();
List <string> words = relation.getSynonymsForWord(CurrentWord.Name);
populateStack(stackSynonym, words);
}
}
public virtual List expand(string text)
{
string inputText = this.simplifyChars(text);
CharTokenizer charTokenizer = new CharTokenizer();
charTokenizer.setWhitespaceSymbols(" \t\n\r");
charTokenizer.setSingleCharSymbols("");
charTokenizer.setPrepunctuationSymbols("\"'`({[");
charTokenizer.setPostpunctuationSymbols("\"'`.,:;!?(){}[]");
charTokenizer.setInputText(inputText);
Utterance utterance = new Utterance(charTokenizer);
Relation relation;
if ((relation = utterance.getRelation("Token")) == null)
{
string text2 = "token relation does not exist";
throw new IllegalStateException(text2);
}
this.wordRelation = WordRelation.createWordRelation(utterance, this);
this.tokenItem = relation.getHead();
while (this.tokenItem != null)
{
FeatureSet features = this.tokenItem.getFeatures();
string @string = features.getString("name");
this.tokenToWords(@string);
this.tokenItem = this.tokenItem.getNext();
}
ArrayList arrayList = new ArrayList();
for (Item item = utterance.getRelation("Word").getHead(); item != null; item = item.getNext())
{
if (!String.instancehelper_isEmpty(item.toString()))
{
string text3 = item.toString();
object _ref = "#";
CharSequence charSequence = CharSequence.Cast(_ref);
if (!String.instancehelper_contains(text3, charSequence))
{
arrayList.add(item.toString());
}
}
}
return(arrayList);
}
public string ToJson()
{
return(string.Format("{0} ({1}) {2}.", Word, SpeechPart, WordRelation.ToString().ToLower().Substring(0, 3)));
}
private bool HasStrongRelation(Word w1, Word w2, WordRelation relation)
{
var ratio = GetPixelCorrespondingRatio(w1, w2, relation);
return(ratio > 0.7);
}
public override sealed async Task GetRelatedWords(string noun, WordRelation relation) => SetLookedUp(relation switch
/// <summary>The word currently being used in Datamuse queries to select Potential alternates</summary>
//private protected string PivotWord { get; set; }
//internal void SetPivot(string word)
//{
// PivotWord = word;
// GetSynonymsFor(PivotWord);
//}
public abstract Task GetRelatedWords(string word, WordRelation relation);
