private Dictionary <MarkovKey, Dictionary <MarkovWord, int> > BuildWordDict(string text, Dictionary <MarkovKey, Dictionary <MarkovWord, int> > wordDict, int wordOrder)
{
text = text.Replace("\n", " ");
text = text.Replace("\"", "");
string taggedText = Stanford.NLP.CoreNLP.CSharp.TaggerDemo.TagText(text);
List <string> words = taggedText.Split(null).ToList <string>();
words = words.Where(x => !string.IsNullOrEmpty(x)).ToList <string>();
List <MarkovWord> markovWords = new List <MarkovWord>();
foreach (string word in words)
{
markovWords.Add(new MarkovWord(word));
}
for (int i = wordOrder; i < markovWords.Count(); i++)
{
MarkovKey currentKey = new MarkovKey(markovWords.GetRange(i - wordOrder, wordOrder));
if (!wordDict.ContainsKey(currentKey))
{
wordDict.Add(currentKey, new Dictionary <MarkovWord, int>());
}
if (!wordDict[currentKey].ContainsKey(markovWords[i]))
{
wordDict[currentKey][markovWords[i]] = 0;
}
wordDict[currentKey][markovWords[i]] += 1;
}
return(wordDict);
}
private void AnalyzeButton_Click(object sender, EventArgs e)
{
Dictionary <MarkovKey, Dictionary <MarkovWord, int> > wordDict = new Dictionary <MarkovKey, Dictionary <MarkovWord, int> >(new MarkovKeyEqualityComparer());
int wordOrder = 2;
wordDict = BuildWordDict(InputBox.Text, wordOrder);
wordDict = BuildWordDict(InputBox2.Text, wordDict, wordOrder);
int outputLength = 1000;
StringBuilder chain = new StringBuilder("");
System.Random r = new System.Random();
// string currentWords[] = new string[]{ "In", "a" };
Queue <MarkovWord> currentWords = new Queue <MarkovWord>();
for (int i = 0; i < wordOrder; i++)
{
currentWords.Enqueue(wordDict.ElementAt(0).Key.Words.ElementAt(i));
}
for (int i = 0; i < outputLength; i++)
{
MarkovWord dequeuedItem = currentWords.Dequeue();
chain.Append(dequeuedItem.Text + " ");
MarkovKey newKey = new MarkovKey(new List <MarkovWord>());
newKey.Words.Add(dequeuedItem);
for (int j = 0; j < wordOrder - 1; j++)
{
newKey.Words.Add(currentWords.ElementAt(j));
}
currentWords.Enqueue(RetrieveRandomWord(wordDict[newKey], r));
}
OutputBox.Text = chain.ToString();
//Stanford.NLP.CoreNLP.CSharp.TaggerDemo.TagText(InputBox.Text);
}