public Corpus.Dialogue symbolToText(SymbolDialogue symbols)
{
Corpus.Dialogue dialogue = new Corpus.Dialogue();
dialogue.entrances = new string[symbols.sentences.Length];
for (int i = 0; i < dialogue.entrances.Length; i++)
{
dialogue.entrances[i] = symbolToText(symbols.sentences[i].symbols);
}
return(dialogue);
}
public SymbolDialogue textToSymbol(Corpus.Dialogue text)
{
SymbolDialogue symbols = new SymbolDialogue();
symbols.sentences = new SymbolSentence[text.entrances.Length];
for (int i = 0; i < symbols.sentences.Length; i++)
{
symbols.sentences[i] = new SymbolSentence();
symbols.sentences[i].symbols = textToSymbol(text.entrances[i]);
}
return(symbols);
}
public byte[] response(SymbolDialogue dialogue)
{
//Reset state
state = 0;
//Process all current sentences
SymbolSentence inputSentence;
for (int j = 0; j < dialogue.sentences.Length; j++)
{
inputSentence = dialogue.sentences[j];
//predict corpus
process(inputSentence.symbols);
}
//Return cascade from last state
return(cascade(state, 128));
}
public byte[] response(Corpus.Dialogue corpusDialogue)
{
SymbolDialogue dialogue = translator.textToSymbol(corpusDialogue);
SymbolSentence sentence;
byte feed = 0;
//Reset states
if (deepLayers != null)
{
for (int k = 0; k < deepLayers.Length; k++)
{
deepLayers[k].state = 0;
}
}
outputLayer.state = 0;
for (int j = 0; j < dialogue.sentences.Length; j++)
{
sentence = dialogue.sentences[j];
//Predict first symbol
feed = 0;
if (deepLayers != null)
{
for (int k = 0; k < deepLayers.Length; k++)
{
feed = deepLayers[k].process(feed);
}
}
outputLayer.process(feed);
//Predict remaining symbols
for (int l = 0; l < sentence.symbols.Length - 1; l++)
{
feed = sentence.symbols[l];
if (deepLayers != null)
{
for (int k = 0; k < deepLayers.Length; k++)
{
feed = deepLayers[k].process(feed);
}
}
outputLayer.process(feed);
}
}
//Cascade
List <byte> output = new List <byte>();
int maxLength = 128;
feed = 0;
for (int i = 0; i < maxLength; i++)
{
if (deepLayers != null)
{
for (int k = 0; k < deepLayers.Length; k++)
{
feed = deepLayers[k].process(feed);
}
}
feed = outputLayer.process(feed);
output.Add(feed);
if (feed == 0)
{
break;
}
}
return(output.ToArray());
}
