public void AddCorrection(MisspelledWord error)
{
string context = ExportContext ? ";" + error.GetLeftContext().ToStringRepresentation() + ";" + error.GetRightContext().ToStringRepresentation() : "";
writer.WriteLine(error.WrongWord + ";" + error.CorrectWord + ";" + error.RevokedByLm.ToString() + context);
if (!String.IsNullOrEmpty(error.CorrectWord))
{
writerCorrected.WriteLine(error.WrongWord + ";" + error.CorrectWord + ";" + Math.Round(error.Accuracy,1).ToString() + ";" + error.CorrectedBy.ToString() +";" + error.IsName().ToString());
}
}
public LanguageModelEvaluation EvaluateCandidates(MisspelledWord word, Dictionary<string, double> candidates)
{
foundInNgrams = false;
List<string> leftContext = word.GetLeftContext();
NgramType type = this.dictionary.GetHighestAvailableNgramCollection(leftContext.Count);
Dictionary<string, double> probability = new Dictionary<string, double>();
string[] lcArray = this.GetLeftContext(leftContext, type);
NgramEvaluation evaluation;
foreach (KeyValuePair<string, double> option in candidates)
{
lcArray[leftContext.Count - 1] = option.Key.Contains(' ') ? option.Key.Split(space).First() : option.Key;
evaluation = this.dictionary.GetNgramCollection(type).GetProbability(lcArray);
probability.Add(option.Key, evaluation.Probability);
if (!foundInNgrams && evaluation.Occurence > 0)
{
foundInNgrams = true;
}
}
List<string> rightContext = word.GetRightContext();
NgramType secType = this.dictionary.GetHighestAvailableNgramCollection(rightContext.Count);
if (type == NgramType.Unigram && type == NgramType.Unigram)
{
// do nothing
}
else
{
string[] rcArray = this.GetRightContext(rightContext, secType);
foreach (KeyValuePair<string, double> option in candidates)
{
rcArray[0] = option.Key.Contains(' ') ? option.Key.Split(space).Last() : option.Key;
evaluation = this.dictionary.GetNgramCollection(secType).GetProbability(rcArray);
probability[option.Key] *= evaluation.Probability;
if (!foundInNgrams && evaluation.Occurence > 0)
{
foundInNgrams = true;
}
}
}
return new LanguageModelEvaluation(probability, foundInNgrams);
}