internal virtual string getGDLColor(GrammarNode grammarNode)
{
string result = "grey";
if (grammarNode.isFinalNode())
{
result = "red";
}
else if (!grammarNode.isEmpty())
{
result = "green";
}
return(result);
}
public virtual string getRandomSentence()
{
StringBuilder stringBuilder = new StringBuilder();
GrammarNode grammarNode = this.getInitialNode();
while (!grammarNode.isFinalNode())
{
if (!grammarNode.isEmpty())
{
Word word = grammarNode.getWord();
if (!word.isFiller())
{
stringBuilder.append(word.getSpelling()).append(' ');
}
}
grammarNode = this.selectRandomSuccessor(grammarNode);
}
return(String.instancehelper_trim(stringBuilder.toString()));
}
protected internal override GrammarNode createGrammar()
{
this.languageModel.allocate();
TimerPool.getTimer(this, "LMGrammar.create").start();
GrammarNode grammarNode = null;
if (this.languageModel.getMaxDepth() > 2)
{
[email protected]("Warning: LMGrammar limited to bigrams");
}
ArrayList arrayList = new ArrayList();
Set vocabulary = this.languageModel.getVocabulary();
Iterator iterator = vocabulary.iterator();
while (iterator.hasNext())
{
string word = (string)iterator.next();
GrammarNode grammarNode2 = this.createGrammarNode(word);
if (grammarNode2 != null && !grammarNode2.isEmpty())
{
if (grammarNode2.getWord().equals(this.getDictionary().getSentenceStartWord()))
{
grammarNode = grammarNode2;
}
else if (grammarNode2.getWord().equals(this.getDictionary().getSentenceEndWord()))
{
grammarNode2.setFinalNode(true);
}
arrayList.add(grammarNode2);
}
}
if (grammarNode == null)
{
string text = "No sentence start found in language model";
throw new Error(text);
}
iterator = arrayList.iterator();
while (iterator.hasNext())
{
GrammarNode grammarNode3 = (GrammarNode)iterator.next();
if (!grammarNode3.isFinalNode())
{
Iterator iterator2 = arrayList.iterator();
while (iterator2.hasNext())
{
GrammarNode grammarNode4 = (GrammarNode)iterator2.next();
string spelling = grammarNode3.getWord().getSpelling();
string spelling2 = grammarNode4.getWord().getSpelling();
Word[] words = new Word[]
{
this.getDictionary().getWord(spelling),
this.getDictionary().getWord(spelling2)
};
float probability = this.languageModel.getProbability(new WordSequence(words));
grammarNode3.add(grammarNode4, probability);
}
}
}
TimerPool.getTimer(this, "LMGrammar.create").stop();
this.languageModel.deallocate();
return(grammarNode);
}
