public SpeechEntity(SpeechEntity entity1, SpeechEntity entity2)
{
Left = entity1;
Right = entity2;
entity = "";// entity1.ToString() + " + " + entity2.ToString();
}
static void DrawNode(Graphics g, SpeechEntity node, double x, double y)
{
Pen blackPen = new Pen(Color.Black, 3);
Font drawFont = new Font("Arial", 16);
SolidBrush drawBrush = new SolidBrush(Color.Black);
SizeF size = g.MeasureString(node.Entity, drawFont);
float left = (float)x + (node.Width - 100) / 2;
float top = (float)y;
// g.DrawEllipse(blackPen, left, top, (float)100, (float)32);
g.DrawString(node.Entity, drawFont, drawBrush, left + 50 - size.Width / 2, top + 8);
if (node.Left != null)
{
float leafRight = (float)x + (node.Left.Width - 100) / 2 + 80;
g.DrawLine(blackPen, left + 20, top + 36, leafRight, top + 80);
DrawNode(g, node.Left, x, y + 80);
}
if (node.Right != null)
{
float leafLeft = (float)x + node.Width - node.Right.Width + (node.Right.Width - 100) / 2 + 20;
g.DrawLine(blackPen, left + 80, top + 36, leafLeft, top + 80);
DrawNode(g, node.Right, x + node.Width - node.Right.Width, y + 80);
}
}
static void Draw(SpeechEntity root)
{
Bitmap myBitmap = new Bitmap(CalculateWidth(root) + 20, 600);
Graphics myGraphics = Graphics.FromImage(myBitmap);
DrawNode(myGraphics, root, 0, 0);
myBitmap.Save("test.bmp");
myGraphics.Dispose();
}
public SpeechEntity(SpeechEntity entity1, SpeechEntity entity2, double[] arr)
{
Left = entity1;
Right = entity2;
entity = "";
// 0 is the bias
for (int i = 1; i < 11; ++i)
{
if (arr[i] > 0.9)
{
Add((SpeechClass)(i - 1));
entity += (SpeechClass)(i - 1) + " ";
}
}
//entity = ".";// entity1.ToString() + " + " + entity2.ToString();
}
static int CalculateWidth(SpeechEntity node)
{
Font drawFont = new Font("Arial", 16);
using (Graphics g = Graphics.FromHwnd(IntPtr.Zero))
{
node.Width = (int)g.MeasureString(node.Entity, drawFont).Width;
}
if (node.Left != null)
{
CalculateWidth(node.Left);
node.Width += node.Left.Width;
}
if (node.Right != null)
{
CalculateWidth(node.Right);
node.Width += node.Right.Width;
}
return node.Width;
}
public static double[] Group(SpeechEntity firstEntity, SpeechEntity secondEntity)
{
double[] arr = new double[20];
for (int i = 0; i < 20; ++i)
{
arr[i] = -1.0;
}
if(firstEntity.speechClasses != null)
foreach (var e in firstEntity.speechClasses)
{
arr[(int)e] = 1.0;
}
if (secondEntity.speechClasses != null)
foreach (var e in secondEntity.speechClasses)
{
arr[(int)e + 10] = 1.0;
}
return arr;
}
public static SpeechEntity Merge(SpeechEntity firstEntity, SpeechEntity secondEntity)
{
SpeechEntity ent = new SpeechEntity(firstEntity, secondEntity);
foreach (var e in firstEntity.speechClasses)
{
ent.Add(e);
}
foreach (var e in secondEntity.speechClasses)
{
ent.Add(e);
}
return ent;
}
static void AddSample(WordMatrix mat, string word1, string word2, SpeechEntity result, double expected)
{
ex.Add(SpeechEntity.Group(mat[word1], mat[word2]));
res.Add(result.ToArray().Concat(new double[] { expected }).ToArray());
}
public SpeechEntity Parse(string sentence)
{
string[] words = sentence.Split(" ".ToCharArray());
SpeechEntity[] ents = new SpeechEntity[words.Length];
for (int i = 0; i < words.Length; ++i)
{
ents[i] = _matrix[words[i]];
}
return Parse(ents);
}
SpeechEntity Parse(SpeechEntity[] entities)
{
double bestScore = -1.0;
int idx = -1;
double[] result = null;
for (int i = 0; i < entities.Length - 1; ++i)
{
var resu = _network.Evaluate(SpeechEntity.Group(entities[i], entities[i + 1]));
if (resu[11] > bestScore)
{
bestScore = resu[11];
idx = i;
result = (double[])resu.Clone();
}
}
var resEntity = new SpeechEntity(entities[idx], entities[idx + 1], result);
if (entities.Length > 2)
{
SpeechEntity[] ents = new SpeechEntity[entities.Length - 1];
for (int i = 0, j = 0; i < entities.Length; ++i, ++j)
{
if (i == idx)
{
ents[j] = resEntity;
i += 1;
continue;
}
else
{
ents[j] = entities[i];
}
}
return Parse(ents);
}
resEntity.Entity = "_ROOT_";
return resEntity;
}