private void buildSmearInfo()
{
double num = (double)0f;
double num2 = (double)0f;
this.bigramSmearMap = new HashMap();
double[] array = new double[this.unigrams.Length];
double[] array2 = new double[this.unigrams.Length];
double[] array3 = new double[this.unigrams.Length];
this.unigramSmearTerm = new float[this.unigrams.Length];
UnigramProbability[] array4 = this.unigrams;
int num3 = array4.Length;
for (int i = 0; i < num3; i++)
{
UnigramProbability unigramProbability = array4[i];
float logProbability = unigramProbability.getLogProbability();
double num4 = this.logMath.logToLinear(logProbability);
num += num4 * (double)logProbability;
num2 += num4 * (double)logProbability * (double)logProbability;
}
[email protected](new StringBuilder().append("R0 S0 ").append(num2).append(' ').append(num).toString());
for (int j = 0; j < this.loadedBigramBuffers.Length; j++)
{
NGramBuffer bigramBuffer = this.getBigramBuffer(j);
if (bigramBuffer == null)
{
this.unigramSmearTerm[j] = 0f;
}
else
{
array[j] = (double)0f;
array2[j] = (double)0f;
array3[j] = (double)0f;
float logBackoff = this.unigrams[j].getLogBackoff();
double num5 = this.logMath.logToLinear(logBackoff);
int num11;
double[] array6;
for (int k = 0; k < bigramBuffer.getNumberNGrams(); k++)
{
int wordID = bigramBuffer.getWordID(k);
NGramProbability ngramProbability = bigramBuffer.getNGramProbability(k);
float logProbability2 = this.unigrams[wordID].getLogProbability();
float num6 = this.ngramProbTable[1][ngramProbability.getProbabilityID()];
double num7 = this.logMath.logToLinear(logProbability2);
double num8 = this.logMath.logToLinear(num6);
double num9 = num5 * num7;
double num10 = (double)this.logMath.linearToLog(num9);
double[] array5 = array;
num11 = j;
array6 = array5;
array6[num11] += (num8 * (double)num6 - num9 * num10) * (double)logProbability2;
double[] array7 = array2;
num11 = j;
array6 = array7;
array6[num11] += (num8 - num9) * (double)logProbability2;
}
double[] array8 = array;
num11 = j;
array6 = array8;
array6[num11] += num5 * ((double)logBackoff * num + num2);
array3[j] = array2[j] + num5 * num;
double[] array9 = array2;
num11 = j;
array6 = array9;
array6[num11] += num5 * num2;
this.unigramSmearTerm[j] = (float)(array[j] / array2[j]);
}
}
for (int j = 0; j < this.loadedBigramBuffers.Length; j++)
{
[email protected](new StringBuilder().append("Processed ").append(j).append(" of ").append(this.loadedBigramBuffers.Length).toString());
NGramBuffer bigramBuffer = this.getBigramBuffer(j);
if (bigramBuffer != null)
{
for (int i = 0; i < bigramBuffer.getNumberNGrams(); i++)
{
NGramProbability ngramProbability2 = bigramBuffer.getNGramProbability(i);
float num12 = this.ngramBackoffTable[2][ngramProbability2.getBackoffID()];
double num13 = this.logMath.logToLinear(num12);
int wordID2 = bigramBuffer.getWordID(i);
NGramBuffer ngramBuffer = this.loadTrigramBuffer(j, wordID2);
float num14;
if (ngramBuffer == null)
{
num14 = this.unigramSmearTerm[wordID2];
}
else
{
double num7 = (double)0f;
double num8 = (double)0f;
for (int l = 0; l < ngramBuffer.getNumberNGrams(); l++)
{
int wordID3 = ngramBuffer.getWordID(l);
float num15 = this.ngramProbTable[2][ngramBuffer.getProbabilityID(l)];
double num16 = this.logMath.logToLinear(num15);
float bigramProb = this.getBigramProb(wordID2, wordID3);
double num17 = this.logMath.logToLinear(bigramProb);
float logProbability3 = this.unigrams[wordID3].getLogProbability();
double num18 = num13 * num17;
double num19 = (double)this.logMath.linearToLog(num18);
num7 += (num16 * (double)num15 - num18 * num19) * (double)logProbability3;
num8 += (num16 - num18) * (double)logProbability3 * (double)logProbability3;
}
num7 += num13 * ((double)num12 * array3[wordID2] - array[wordID2]);
num8 += num13 * array2[wordID2];
num14 = (float)(num7 / num8);
this.smearTermCount++;
}
this.putSmearTerm(j, wordID2, num14);
}
}
}
[email protected](new StringBuilder().append("Smear count is ").append(this.smearTermCount).toString());
}
private NGramBuffer loadNGramBuffer(WordSequence wordSequence)
{
int wordID = this.getWordID(wordSequence.getWord(0));
int num = wordSequence.size() + 1;
int num2 = this.unigrams[wordID].getFirstBigramEntry();
int num3 = this.getNumberBigramFollowers(wordID) + 1;
if (num3 == 1)
{
return(null);
}
int size;
long position;
if (num == 2)
{
size = num3 * ((this.loader.getMaxDepth() != num) ? 4 : 2) * this.loader.getBytesPerField();
position = this.loader.getNGramOffset(num) + (long)(num2 * ((this.loader.getMaxDepth() != num) ? 4 : 2) * this.loader.getBytesPerField());
}
else
{
int wordID2 = this.getWordID(wordSequence.getWord(wordSequence.size() - 1));
NGramBuffer ngramBuffer = this.getNGramBuffer(wordSequence.getOldest());
int num4 = ngramBuffer.findNGramIndex(wordID2);
if (num4 == -1)
{
return(null);
}
int firstNGramEntry = ngramBuffer.getFirstNGramEntry();
num2 = this.getFirstNGramEntry(ngramBuffer.getNGramProbability(num4), firstNGramEntry, num);
int firstNGramEntry2 = this.getFirstNGramEntry(ngramBuffer.getNGramProbability(num4 + 1), firstNGramEntry, num);
num3 = firstNGramEntry2 - num2;
if (num3 == 0)
{
return(null);
}
if (this.loader.getMaxDepth() != num)
{
num3++;
}
size = num3 * ((this.loader.getMaxDepth() != num) ? 4 : 2) * this.loader.getBytesPerField();
position = this.loader.getNGramOffset(num) + (long)num2 * ((this.loader.getMaxDepth() != num) ? 4L : 2L) * (long)this.loader.getBytesPerField();
}
NGramBuffer result;
try
{
byte[] array = this.loader.loadBuffer(position, size);
if (this.loader.getMaxDepth() == num)
{
result = new NMaxGramBuffer(array, num3, this.loader.getBigEndian(), this.is32bits(), num, num2);
}
else
{
result = new NGramBuffer(array, num3, this.loader.getBigEndian(), this.is32bits(), num, num2);
}
}
catch (IOException ex)
{
throw new Error(new StringBuilder().append("Error loading ").append(num).append("-Grams.").toString(), ex);
}
return(result);
}