| public UpdatePredictedCognacy ( WordPair wordPair, IWordAlignerResult alignerResult ) : void | ||
| wordPair | WordPair | |
| alignerResult | IWordAlignerResult | |
| Результат | void | |
public void Process(VarietyPair varietyPair)
{
IWordAligner aligner = _project.WordAligners[_alignerID];
var ambiguousMeanings = new List <Tuple <Meaning, IWordAlignerResult, IWordAlignerResult[]> >();
varietyPair.WordPairs.Clear();
var cognateCorrCounts = new ConditionalFrequencyDistribution <SoundContext, Ngram <Segment> >();
int cognateCount = 0;
foreach (Meaning meaning in varietyPair.Variety1.Words.Meanings)
{
Word[] words1 = varietyPair.Variety1.Words[meaning].Where(w => w.Shape.Count > 0).ToArray();
Word[] words2 = varietyPair.Variety2.Words[meaning].Where(w => w.Shape.Count > 0).ToArray();
if (words1.Length == 1 && words2.Length == 1)
{
Word word1 = words1.Single();
Word word2 = words2.Single();
WordPair wp = varietyPair.WordPairs.Add(word1, word2);
_project.CognacyDecisions.UpdateActualCognacy(wp);
IWordAlignerResult alignerResult = aligner.Compute(wp);
_thresholdCognateIdentifier.UpdatePredictedCognacy(wp, alignerResult);
Alignment <Word, ShapeNode> alignment = alignerResult.GetAlignments().First();
if (wp.Cognacy)
{
UpdateCognateCorrespondenceCounts(aligner, cognateCorrCounts, alignment);
cognateCount++;
}
wp.PhoneticSimilarityScore = alignment.NormalizedScore;
}
else if (words1.Length > 0 && words2.Length > 0)
{
IWordAlignerResult[] alignerResults = words1.SelectMany(w1 => words2.Select(w2 => aligner.Compute(w1, w2))).ToArray();
IWordAlignerResult maxAlignerResult = alignerResults.MaxBy(a => a.BestRawScore);
ambiguousMeanings.Add(Tuple.Create(meaning, maxAlignerResult, alignerResults));
WordPair wp = varietyPair.WordPairs.Add(maxAlignerResult.Words[0], maxAlignerResult.Words[1]);
_thresholdCognateIdentifier.UpdatePredictedCognacy(wp, maxAlignerResult);
}
}
ICognateIdentifier cognateIdentifier = _project.CognateIdentifiers[_cognateIdentifierID];
for (int i = 0; i < ambiguousMeanings.Count; i++)
{
ConditionalFrequencyDistribution <SoundContext, Ngram <Segment> > newCognateCorrCounts = cognateCorrCounts.Clone();
int newCognateCount = cognateCount;
for (int j = i + 1; j < ambiguousMeanings.Count; j++)
{
if (varietyPair.WordPairs[ambiguousMeanings[j].Item1].Cognacy)
{
UpdateCognateCorrespondenceCounts(aligner, newCognateCorrCounts, ambiguousMeanings[j].Item2.GetAlignments().First());
newCognateCount++;
}
}
IWordAlignerResult bestAlignerResult = null;
WordPair bestWordPair = null;
foreach (IWordAlignerResult alignerResult in ambiguousMeanings[i].Item3)
{
ConditionalFrequencyDistribution <SoundContext, Ngram <Segment> > alignmentCognateCorrCounts = newCognateCorrCounts.Clone();
int alignmentCognateCount = newCognateCount;
Alignment <Word, ShapeNode> alignment = alignerResult.GetAlignments().First();
varietyPair.WordPairs.Remove(ambiguousMeanings[i].Item1);
WordPair wordPair = varietyPair.WordPairs.Add(alignerResult.Words[0], alignerResult.Words[1]);
_thresholdCognateIdentifier.UpdatePredictedCognacy(wordPair, alignerResult);
if (wordPair.Cognacy)
{
UpdateCognateCorrespondenceCounts(aligner, alignmentCognateCorrCounts, alignment);
alignmentCognateCount++;
}
varietyPair.CognateCount = alignmentCognateCount;
varietyPair.CognateSoundCorrespondenceFrequencyDistribution = alignmentCognateCorrCounts;
cognateIdentifier.UpdatePredictedCognacy(wordPair, alignerResult);
wordPair.PhoneticSimilarityScore = alignment.NormalizedScore;
if (bestWordPair == null || Compare(wordPair, bestWordPair) > 0)
{
bestWordPair = wordPair;
bestAlignerResult = alignerResult;
}
}
Debug.Assert(bestWordPair != null);
varietyPair.WordPairs.Remove(ambiguousMeanings[i].Item1);
varietyPair.WordPairs.Add(bestWordPair);
_project.CognacyDecisions.UpdateActualCognacy(bestWordPair);
if (bestWordPair.Cognacy)
{
UpdateCognateCorrespondenceCounts(aligner, cognateCorrCounts, bestAlignerResult.GetAlignments().First());
cognateCount++;
}
}
varietyPair.CognateCount = cognateCount;
varietyPair.CognateSoundCorrespondenceFrequencyDistribution = cognateCorrCounts;
}
public void Process(VarietyPair varietyPair)
{
IWordAligner aligner = _project.WordAligners[_alignerID];
varietyPair.WordPairs.Clear();
var cognateCorrCounts = new ConditionalFrequencyDistribution <SoundContext, Ngram <Segment> >();
int cognateCount = 0;
foreach (Meaning meaning in varietyPair.Variety1.Words.Meanings)
{
Word[] words1 = varietyPair.Variety1.Words[meaning].Where(w => w.Shape.Count > 0).ToArray();
Word[] words2 = varietyPair.Variety2.Words[meaning].Where(w => w.Shape.Count > 0).ToArray();
if (words1.Length == 1 && words2.Length == 1)
{
Word word1 = words1.Single();
Word word2 = words2.Single();
WordPair wp = varietyPair.WordPairs.Add(word1, word2);
_project.CognacyDecisions.UpdateActualCognacy(wp);
IWordAlignerResult alignerResult = aligner.Compute(wp);
_thresholdCognateIdentifier.UpdatePredictedCognacy(wp, alignerResult);
Alignment <Word, ShapeNode> alignment = alignerResult.GetAlignments().First();
if (wp.Cognacy)
{
UpdateCognateCorrespondenceCounts(aligner, cognateCorrCounts, alignment);
cognateCount++;
}
wp.PhoneticSimilarityScore = alignment.NormalizedScore;
}
else if (words1.Length > 0 && words2.Length > 0)
{
WordPair bestWordPair = null;
IWordAlignerResult bestAlignerResult = null;
foreach (Word w1 in words1)
{
foreach (Word w2 in words2)
{
IWordAlignerResult alignerResult = aligner.Compute(w1, w2);
if (bestAlignerResult == null || alignerResult.BestRawScore > bestAlignerResult.BestRawScore)
{
bestWordPair = new WordPair(w1, w2);
bestAlignerResult = alignerResult;
}
}
}
Debug.Assert(bestWordPair != null);
varietyPair.WordPairs.Add(bestWordPair);
_project.CognacyDecisions.UpdateActualCognacy(bestWordPair);
_thresholdCognateIdentifier.UpdatePredictedCognacy(bestWordPair, bestAlignerResult);
Alignment <Word, ShapeNode> alignment = bestAlignerResult.GetAlignments().First();
if (bestWordPair.Cognacy)
{
UpdateCognateCorrespondenceCounts(aligner, cognateCorrCounts, alignment);
cognateCount++;
}
bestWordPair.PhoneticSimilarityScore = alignment.NormalizedScore;
}
}
varietyPair.CognateCount = cognateCount;
varietyPair.CognateSoundCorrespondenceFrequencyDistribution = cognateCorrCounts;
}
