public bool Equals(SoundContext other)
{
if (other == null)
{
return(false);
}
return(_leftEnv == other._leftEnv && _target.Equals(other._target) && _rightEnv == other._rightEnv);
}
public bool HaveSameStem(TSeq x, TSeq y, out double score)
{
var ngram1 = new Ngram <TItem>(SyllablesSelector(x).SelectMany(s => s));
var ngram2 = new Ngram <TItem>(SyllablesSelector(y).SelectMany(s => s));
if (ngram1.Equals(ngram2))
{
score = NormalizeScores ? 1.0 : MaxZScore(_wordCount);
return(true);
}
Tuple <AffixInfo, Ngram <TItem>, AffixInfo>[] analyses1 = GetAnalyses(ngram1).ToArray();
Tuple <AffixInfo, Ngram <TItem>, AffixInfo>[] analyses2 = GetAnalyses(ngram2).ToArray();
score = 0;
foreach (Tuple <AffixInfo, Ngram <TItem>, AffixInfo> analysis1 in analyses1)
{
foreach (Tuple <AffixInfo, Ngram <TItem>, AffixInfo> analysis2 in analyses2)
{
if ((analysis1.Item1.Ngram.Length == 0 || analysis1.Item1 != analysis2.Item1) &&
analysis1.Item2.Equals(analysis2.Item2) &&
(analysis1.Item3.Ngram.Length == 0 || analysis1.Item3 != analysis2.Item3))
{
double prefixScore = CalcAffixScore(analysis1.Item1, analysis2.Item1);
double suffixScore = CalcAffixScore(analysis1.Item3, analysis2.Item3);
double minScore = Math.Min(prefixScore, suffixScore);
if (minScore >= Threshold && minScore > score)
{
score = minScore;
}
}
}
}
return(score > 0);
}
private void UpdateSelectedChangeWordPairs(WordPairsViewModel wordPairs)
{
IWordAligner aligner = _projectService.Project.WordAligners[ComponentIdentifiers.PrimaryWordAligner];
wordPairs.SelectedCorrespondenceWordPairs.Clear();
foreach (WordPairViewModel wordPair in wordPairs.WordPairs)
{
bool selected = false;
foreach (AlignedNodeViewModel node in wordPair.AlignedNodes)
{
if (_selectedSoundChange == null)
{
node.IsSelected = false;
}
else
{
SoundContext lhs = wordPair.DomainAlignment.ToSoundContext(_segmentPool, 0, node.Column, aligner.ContextualSoundClasses);
Ngram <Segment> corr = wordPair.DomainAlignment[1, node.Column].ToNgram(_segmentPool);
node.IsSelected = lhs.Equals(_selectedSoundChange.DomainSoundChangeLhs) && corr.Equals(_selectedSoundChange.DomainCorrespondence);
if (node.IsSelected)
{
selected = true;
}
}
}
if (selected)
{
wordPairs.SelectedCorrespondenceWordPairs.Add(wordPair);
}
}
}
public void UpdatePredictedCognacy(WordPair wordPair, IWordAlignerResult alignerResult)
{
wordPair.AlignmentNotes.Clear();
int cat1Count = 0;
int cat1And2Count = 0;
int totalCount = 0;
Alignment <Word, ShapeNode> alignment = alignerResult.GetAlignments().First();
for (int column = 0; column < alignment.ColumnCount; column++)
{
ShapeNode uLeftNode = alignment.GetLeftNode(0, column);
Ngram <Segment> u = alignment[0, column].ToNgram(_segmentPool);
ShapeNode uRightNode = alignment.GetRightNode(0, column);
ShapeNode vLeftNode = alignment.GetLeftNode(1, column);
Ngram <Segment> v = alignment[1, column].ToNgram(_segmentPool);
ShapeNode vRightNode = alignment.GetRightNode(1, column);
int cat = 3;
if (u.Equals(v))
{
cat = 1;
}
else if (IgnoredMappings.IsMapped(uLeftNode, u, uRightNode, vLeftNode, v, vRightNode))
{
cat = 0;
}
else if (u.Length == 0 || v.Length == 0)
{
if (SimilarSegments.IsMapped(uLeftNode, u, uRightNode, vLeftNode, v, vRightNode))
{
cat = 1;
}
else if (IgnoreRegularInsertionDeletion && IsRegular(wordPair, alignerResult, alignment, column, v))
{
cat = 0;
}
}
else if (u[0].Type == CogFeatureSystem.VowelType && v[0].Type == CogFeatureSystem.VowelType)
{
cat = SimilarSegments.IsMapped(uLeftNode, u, uRightNode, vLeftNode, v, vRightNode) ? 1 : 2;
}
else if (u[0].Type == CogFeatureSystem.ConsonantType && v[0].Type == CogFeatureSystem.ConsonantType)
{
if (RegularConsonantEqual)
{
if (IsRegular(wordPair, alignerResult, alignment, column, v))
{
cat = 1;
}
else if (SimilarSegments.IsMapped(uLeftNode, u, uRightNode, vLeftNode, v, vRightNode))
{
cat = 2;
}
}
else
{
if (SimilarSegments.IsMapped(uLeftNode, u, uRightNode, vLeftNode, v, vRightNode))
{
cat = IsRegular(wordPair, alignerResult, alignment, column, v) ? 1 : 2;
}
}
}
if (cat > 0 && cat < 3)
{
cat1And2Count++;
if (cat == 1)
{
cat1Count++;
}
}
wordPair.AlignmentNotes.Add(cat == 0 ? "-" : cat.ToString(CultureInfo.InvariantCulture));
if (cat > 0)
{
totalCount++;
}
}
double type1Score = (double)cat1Count / totalCount;
double type1And2Score = (double)cat1And2Count / totalCount;
wordPair.PredictedCognacy = type1Score >= 0.5 && type1And2Score >= 0.75;
wordPair.PredictedCognacyScore = (type1Score * 0.75) + (type1And2Score * 0.25);
}
public void UpdateCognicity(WordPair wordPair, IWordAlignerResult alignerResult)
{
wordPair.AlignmentNotes.Clear();
int cat1Count = 0;
int cat1And2Count = 0;
int totalCount = 0;
Alignment <Word, ShapeNode> alignment = alignerResult.GetAlignments().First();
for (int column = 0; column < alignment.ColumnCount; column++)
{
ShapeNode uLeftNode = alignment.GetLeftNode(0, column);
Ngram <Segment> u = alignment[0, column].ToNgram(_segmentPool);
ShapeNode uRightNode = alignment.GetRightNode(0, column);
ShapeNode vLeftNode = alignment.GetLeftNode(1, column);
Ngram <Segment> v = alignment[1, column].ToNgram(_segmentPool);
ShapeNode vRightNode = alignment.GetRightNode(1, column);
bool regular = wordPair.VarietyPair.SoundChangeFrequencyDistribution[alignment.ToSoundContext(_segmentPool, 0, column, alignerResult.WordAligner.ContextualSoundClasses)][v] >= 3;
int cat = 3;
if (u.Equals(v))
{
cat = 1;
}
else if (_ignoredMappings.IsMapped(uLeftNode, u, uRightNode, vLeftNode, v, vRightNode))
{
cat = 0;
}
else if (u.Length == 0 || v.Length == 0)
{
if (_similarSegments.IsMapped(uLeftNode, u, uRightNode, vLeftNode, v, vRightNode) || regular)
{
cat = _ignoreRegularInsertionDeletion ? 0 : 1;
}
}
else if (u[0].Type == CogFeatureSystem.VowelType && v[0].Type == CogFeatureSystem.VowelType)
{
cat = _similarSegments.IsMapped(uLeftNode, u, uRightNode, vLeftNode, v, vRightNode) ? 1 : 2;
}
else if (u[0].Type == CogFeatureSystem.ConsonantType && v[0].Type == CogFeatureSystem.ConsonantType)
{
if (_regularConsEqual)
{
if (regular)
{
cat = 1;
}
else if (_similarSegments.IsMapped(uLeftNode, u, uRightNode, vLeftNode, v, vRightNode))
{
cat = 2;
}
}
else
{
if (_similarSegments.IsMapped(uLeftNode, u, uRightNode, vLeftNode, v, vRightNode))
{
cat = regular ? 1 : 2;
}
}
}
if (cat > 0 && cat < 3)
{
cat1And2Count++;
if (cat == 1)
{
cat1Count++;
}
}
wordPair.AlignmentNotes.Add(cat == 0 ? "-" : cat.ToString(CultureInfo.InvariantCulture));
if (cat > 0)
{
totalCount++;
}
}
double type1Score = (double)cat1Count / totalCount;
double type1And2Score = (double)cat1And2Count / totalCount;
wordPair.AreCognatePredicted = type1Score >= 0.5 && type1And2Score >= 0.75;
wordPair.CognicityScore = (type1Score * 0.75) + (type1And2Score * 0.25);
}