private Float getNGramProbability(WordSequence wordSequence)
{
int num = wordSequence.size();
Word word = wordSequence.getWord(0);
if (this.loader.getNumberNGrams(num) == 0 || !this.hasUnigram(word))
{
return(this.getNGramProbability(wordSequence.getNewest()));
}
if (num < 2)
{
return(Float.valueOf(this.getUnigramProbability(wordSequence)));
}
NGramProbability ngramProbability = this.findNGram(wordSequence);
if (ngramProbability != null)
{
return(Float.valueOf(this.ngramProbTable[num - 1][ngramProbability.getProbabilityID()]));
}
if (num == 2)
{
UnigramProbability unigram = this.getUnigram(word);
UnigramProbability unigram2 = this.getUnigram(wordSequence.getWord(1));
return(Float.valueOf(unigram.getLogBackoff() + unigram2.getLogProbability()));
}
NGramProbability ngramProbability2 = this.findNGram(wordSequence.getOldest());
if (ngramProbability2 != null)
{
return(Float.valueOf(this.ngramBackoffTable[num - 1][ngramProbability2.getBackoffID()] + this.getProbability(wordSequence.getNewest())));
}
return(Float.valueOf(this.getProbability(wordSequence.getNewest())));
}
private void applyUnigramWeight()
{
float num = this.logMath.linearToLog((double)this.unigramWeight);
float num2 = this.logMath.linearToLog((double)(1f - this.unigramWeight));
float num3 = this.logMath.linearToLog((double)(1f / (float)this.numberNGrams[0]));
float num4 = this.logMath.linearToLog(this.wip);
float logVal = num3 + num2;
for (int i = 0; i < this.numberNGrams[0]; i++)
{
UnigramProbability unigramProbability = this.unigrams[i];
float num5 = unigramProbability.getLogProbability();
if (i != this.startWordID)
{
num5 += num;
num5 = this.logMath.addAsLinear(num5, logVal);
}
if (this.applyLanguageWeightAndWip)
{
num5 = num5 * this.languageWeight + num4;
unigramProbability.setLogBackoff(unigramProbability.getLogBackoff() * this.languageWeight);
}
unigramProbability.setLogProbability(num5);
}
}