public bool IsMapped(ShapeNode leftNode1, Ngram <Segment> target1, ShapeNode rightNode1, ShapeNode leftNode2, Ngram <Segment> target2, ShapeNode rightNode2)
{
if (_mappings.Count == 0)
{
return(false);
}
foreach (string strRep1 in GetStrReps(target1))
{
foreach (string strRep2 in GetStrReps(target2))
{
if (strRep1 == strRep2)
{
return(true);
}
Dictionary <string, List <Tuple <Environment, Environment> > > segments;
List <Tuple <Environment, Environment> > contexts;
if (_mappingLookup.TryGetValue(strRep1, out segments) && segments.TryGetValue(strRep2, out contexts))
{
return(contexts.Any(ctxt => CheckEnvironment(ctxt.Item1, leftNode1, rightNode1) && CheckEnvironment(ctxt.Item2, leftNode2, rightNode2)));
}
}
}
return(false);
}
public static bool TryGetMatchingSoundClass(this IEnumerable <SoundClass> soundClasses, SegmentPool segmentPool, ShapeNode node, out SoundClass soundClass)
{
Annotation <ShapeNode> stemAnn = ((Shape)node.List).Annotations.First(ann => ann.Type() == CogFeatureSystem.StemType);
ShapeNode left = null;
if (stemAnn.Range.Contains(node) || node.Annotation.CompareTo(stemAnn) > 0)
{
ShapeNode leftNode = node.GetPrev(NodeFilter);
if (leftNode != null)
{
left = stemAnn.Range.Contains(leftNode) ? leftNode : node.List.Begin;
}
}
Ngram <Segment> target = stemAnn.Range.Contains(node) ? segmentPool.Get(node) : Segment.Anchor;
ShapeNode right = null;
if (stemAnn.Range.Contains(node) || node.Annotation.CompareTo(stemAnn) < 0)
{
ShapeNode rightNode = node.GetNext(NodeFilter);
if (rightNode != null)
{
right = stemAnn.Range.Contains(rightNode) ? rightNode : node.List.End;
}
}
soundClass = soundClasses.FirstOrDefault(sc => sc.Matches(left, target, right));
return(soundClass != null);
}
public ProcessingMulti(string domain)
{
if (string.IsNullOrEmpty(domain))
{
return;
}
CurrentDomain = domain;
DomainLength = domain.Length;
NumberDigits = Regex.Matches(domain, @"[0123456789]", RegexOptions.IgnoreCase).Count;
NumberVowels = Regex.Matches(domain, @"[eyuioa]", RegexOptions.IgnoreCase).Count;
NumberConsonants = Regex.Matches(domain, @"[qwrtpsdfghjklzxcvbnm]", RegexOptions.IgnoreCase).Count;
NumberSpecialCharacters = Regex.Matches(domain, @"[\|!#$%&/()=?»«*@£§€{};'<>_,]", RegexOptions.IgnoreCase).Count;
NumberUniqueCharacter = domain.Distinct().Count();
NumberRepetitions = DomainLength - NumberConsonants;
LengthDigitsSequence = CalculateSequence(Digits);
LengthVowelsSequence = CalculateSequence(Vowels);
LengthConsonantSequence = CalculateSequence(Consonants);
LengthSpecialCharactersSequence = CalculateSequence(SpecialCharacters);
RatioDigitToLength = NumberDigits / DomainLength;
RatioVowelsToLength = NumberVowels / DomainLength;
RatioConsonantsToLength = NumberConsonants / DomainLength;
RatioSpecialCharactersToLength = NumberSpecialCharacters / DomainLength;
RatioVowelsToConsonants = NumberVowels / NumberConsonants;
RatioUniqueCharacterToLength = NumberUniqueCharacter / DomainLength;
FrequencyRepeat = CalculateFrequencyRepeat();
Ngram ngram = Ngram.getInstance();
FrequencyNgram2 = ngram.CalculateFrequencyNgram(domain, 2);
FrequencyNgram3 = ngram.CalculateFrequencyNgram(domain, 3);
FrequencyNgram4 = ngram.CalculateFrequencyNgram(domain, 4);
FrequencyNgram5 = ngram.CalculateFrequencyNgram(domain, 5);
}
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);
}
}
}
private int GetMaxSoundChangeScore(Word word, ShapeNode node, Word otherWord)
{
if (word.Variety == otherWord.Variety)
{
return(0);
}
VarietyPair varietyPair = word.Variety.VarietyPairs[otherWord.Variety];
if (varietyPair.SoundChangeProbabilityDistribution == null)
{
return(0);
}
double prob;
if (varietyPair.Variety1 == word.Variety)
{
SoundContext lhs = node.ToSoundContext(_segmentPool, _contextualSoundClasses);
prob = varietyPair.DefaultCorrespondenceProbability;
IProbabilityDistribution <Ngram <Segment> > probDist;
if (varietyPair.SoundChangeProbabilityDistribution.TryGetProbabilityDistribution(lhs, out probDist) && probDist.Samples.Count > 0)
{
prob = probDist.Samples.Max(nseg => probDist[nseg]);
}
}
else
{
Ngram <Segment> corr = _segmentPool.GetExisting(node);
prob = varietyPair.SoundChangeProbabilityDistribution.Conditions.Count == 0 ? 0
: varietyPair.SoundChangeProbabilityDistribution.Conditions.Max(lhs => varietyPair.SoundChangeProbabilityDistribution[lhs][corr]);
}
return((int)(MaxSoundChangeScore * prob));
}
private bool IsRegular(WordPair wordPair, IWordAlignerResult alignerResult, Alignment <Word, ShapeNode> alignment, int column,
Ngram <Segment> v)
{
VarietyPair vp = wordPair.VarietyPair;
SoundContext context = alignment.ToSoundContext(_segmentPool, 0, column, alignerResult.WordAligner.ContextualSoundClasses);
FrequencyDistribution <Ngram <Segment> > freqDist = vp.CognateSoundCorrespondenceFrequencyDistribution[context];
int threshold;
if (AutomaticRegularCorrespondenceThreshold)
{
int seg2Count = vp.CognateSoundCorrespondenceFrequencyDistribution.Conditions
.Where(sc => sc.LeftEnvironment == context.LeftEnvironment && sc.RightEnvironment == context.RightEnvironment)
.Sum(sc => vp.CognateSoundCorrespondenceFrequencyDistribution[sc][v]);
if (!_regularCorrespondenceThresholdTable.TryGetThreshold(vp.CognateCount, freqDist.SampleOutcomeCount, seg2Count,
out threshold))
{
threshold = DefaultRegularCorrespondenceThreshold;
}
}
else
{
threshold = DefaultRegularCorrespondenceThreshold;
}
return(freqDist[v] >= threshold);
}
private IEnumerable <Tuple <AffixInfo, Ngram <TItem> > > GetAffixes(Ngram <TItem> word, AffixType type)
{
Direction dir;
Dictionary <Ngram <TItem>, AffixInfo> affixes;
if (type == AffixType.Prefix)
{
dir = Direction.LeftToRight;
affixes = _prefixes;
}
else
{
dir = Direction.RightToLeft;
affixes = _suffixes;
}
var affix = new Ngram <TItem>();
yield return(Tuple.Create(affixes[affix], word));
foreach (TItem item in word.GetItems(dir).Take(Math.Min(MaxAffixLength, word.Length - 1)))
{
affix = affix.Concat(item, dir);
word = word.SkipFirst(dir);
AffixInfo ai;
if (affixes.TryGetValue(affix, out ai))
{
yield return(Tuple.Create(ai, word));
}
}
}
public SoundChangeViewModel(SoundContext lhs, Ngram<Segment> correspondence, double probability, int frequency)
{
_domainLhs = lhs;
_correspondence = correspondence;
_lhs = new SoundChangeLhsViewModel(lhs);
_prob = probability;
_frequency = frequency;
}
public SoundChangeViewModel(SoundContext lhs, Ngram <Segment> correspondence, double probability, int frequency)
{
_domainLhs = lhs;
_correspondence = correspondence;
_lhs = new SoundChangeLhsViewModel(lhs);
_prob = probability;
_frequency = frequency;
}
public static bool Add(string table, Ngram ngram)
{
MysqlHelper.Open();
MysqlHelper.cmd.Parameters.Clear();
MysqlHelper.cmd.Connection = MysqlHelper.conn;
MysqlHelper.cmd.CommandText = "INSERT INRO " + table + " VALUES ({},{},{})";
return(false);
}
public bool IsMapped(ShapeNode leftNode1, Ngram<Segment> target1, ShapeNode rightNode1, ShapeNode leftNode2, Ngram<Segment> target2, ShapeNode rightNode2)
{
if ((target1.Length == 0 || target1.First.Type == CogFeatureSystem.VowelType) && (target2.Length == 0 || target2.First.Type == CogFeatureSystem.VowelType))
return _vowelMappings.IsMapped(leftNode1, target1, rightNode1, leftNode2, target2, rightNode2);
if ((target1.Length == 0 || target1.First.Type == CogFeatureSystem.ConsonantType) && (target2.Length == 0 || target2.First.Type == CogFeatureSystem.ConsonantType))
return _consMappings.IsMapped(leftNode1, target1, rightNode1, leftNode2, target2, rightNode2);
return false;
}
public static void Main(string[] arg)
{
string input_sentences = "Hello world my age is 23.5";
int N = 3;
Ngram test = new Ngram(input_sentences, N);
//test.ngram_n2("Hello world my name is xd", 3);
test.readNgram();
}
static void Main(string[] args)
{
string str1 = "Going to play basketball this afternoon ?";
string str2 = "Going to play basketball in the afternoon ?";
Ngram test = new Ngram(str1, 4);
Ngram test1 = new Ngram(str2, 4);
bleu(test, test1);
}
public override bool Matches(ShapeNode leftNode, Ngram<Segment> target, ShapeNode rightNode)
{
foreach (Segment seg in target)
{
if (_fs.IsUnifiable(seg.FeatureStruct))
return true;
}
return false;
}
public void CreateNGram()
{
var ngram = new Ngram();
var words = ngram.Create("This a sentence of my test", 3);
CollectionAssert.AreEqual(words, new List <string> {
"This a sentence", "a sentence of", "sentence of my", "of my test"
});
}
public static bool TryGetMatchingSoundClass(this IEnumerable <SoundClass> soundClasses, SegmentPool segmentPool, Alignment <Word, ShapeNode> alignment, int seq, int col, out SoundClass soundClass)
{
ShapeNode leftNode = alignment.GetLeftNode(seq, col);
Ngram <Segment> target = alignment[seq, col].ToNgram(segmentPool);
ShapeNode rightNode = alignment.GetRightNode(seq, col);
soundClass = soundClasses.FirstOrDefault(sc => sc.Matches(leftNode, target, rightNode));
return(soundClass != null);
}
public void getNgramTextForSearchTest()
{
string result = Ngram.getNgramTextForSearch("test", 2);
Debug.Assert(string.Compare(result, "te es st") == 0);
string result2 = Ngram.getNgramTextForSearch("t", 2);
Debug.Assert(string.Compare(result2, "t*") == 0);
}
public void ToString_MultipleWords_ReturnsWhiteSpaceSeparatedWords()
{
string line = " 2301 a\tja\tsom\tsa";
string expectedToString = "a ja som sa";
Ngram ngram = new Ngram(line);
var result = ngram.ToString();
Assert.AreEqual(result, expectedToString);
}
public void Frequency_MultipleWords_ReturnsIntFrequency()
{
string line = " 2301 a\tja\tsom\tsa";
int frequency = 2301;
Ngram ngram = new Ngram(line);
var result = ngram.Frequency;
Assert.AreEqual(result, frequency);
}
private void UpdateCognateCorrespondenceCounts(IWordAligner aligner, ConditionalFrequencyDistribution <SoundContext, Ngram <Segment> > cognateCorrCounts,
Alignment <Word, ShapeNode> alignment)
{
for (int column = 0; column < alignment.ColumnCount; column++)
{
SoundContext lhs = alignment.ToSoundContext(_segmentPool, 0, column, aligner.ContextualSoundClasses);
Ngram <Segment> corr = alignment[1, column].ToNgram(_segmentPool);
cognateCorrCounts[lhs].Increment(corr);
}
}
public VarietyPair ToVarietyPair(SegmentPool segmentPool, CogProject project)
{
var vp = new VarietyPair(project.Varieties[Variety1], project.Varieties[Variety2])
{
PhoneticSimilarityScore = PhoneticSimilarityScore,
LexicalSimilarityScore = LexicalSimilarityScore,
DefaultCorrespondenceProbability = DefaultCorrespondenceProbability
};
var wordPairs = new Dictionary <WordPairSurrogate, WordPair>();
vp.WordPairs.AddRange(_wordPairs.Select(surrogate => wordPairs.GetValue(surrogate, () => surrogate.ToWordPair(project, vp))));
var soundChanges = new ConditionalFrequencyDistribution <SoundContext, Ngram <Segment> >();
foreach (KeyValuePair <SoundContextSurrogate, Tuple <string[], int>[]> fd in _soundChanges)
{
SoundContext ctxt = fd.Key.ToSoundContext(project, segmentPool);
FrequencyDistribution <Ngram <Segment> > freqDist = soundChanges[ctxt];
foreach (Tuple <string[], int> sample in fd.Value)
{
Ngram <Segment> corr = sample.Item1 == null ? new Ngram <Segment>() : new Ngram <Segment>(sample.Item1.Select(segmentPool.GetExisting));
freqDist.Increment(corr, sample.Item2);
}
}
vp.SoundChangeFrequencyDistribution = soundChanges;
IWordAligner aligner = project.WordAligners[ComponentIdentifiers.PrimaryWordAligner];
int segmentCount = vp.Variety2.SegmentFrequencyDistribution.ObservedSamples.Count;
int possCorrCount = aligner.ExpansionCompressionEnabled ? (segmentCount * segmentCount) + segmentCount + 1 : segmentCount + 1;
vp.SoundChangeProbabilityDistribution = new ConditionalProbabilityDistribution <SoundContext, Ngram <Segment> >(soundChanges,
(sc, freqDist) => new WittenBellProbabilityDistribution <Ngram <Segment> >(freqDist, possCorrCount));
foreach (KeyValuePair <string, List <SoundCorrespondenceSurrogate> > kvp in _soundCorrespondenceCollections)
{
if (kvp.Value != null)
{
FeatureSymbol pos = null;
switch (kvp.Key)
{
case "onset":
pos = CogFeatureSystem.Onset;
break;
case "nucleus":
pos = CogFeatureSystem.Nucleus;
break;
case "coda":
pos = CogFeatureSystem.Coda;
break;
}
vp.SoundCorrespondenceCollections[pos].AddRange(kvp.Value.Select(surrogate => surrogate.ToSoundCorrespondence(segmentPool, wordPairs)));
}
}
return(vp);
}
public override bool Matches(ShapeNode leftNode, Ngram <Segment> target, ShapeNode rightNode)
{
foreach (Segment seg in target)
{
if (_fs.IsUnifiable(seg.FeatureStruct))
{
return(true);
}
}
return(false);
}
public void Words_MultipleWords_ReturnsArrayOfStrings()
{
string line = " 2301 a\tja\tsom\tsa";
string[] words = { "a", "ja", "som", "sa" };
Ngram ngram = new Ngram(line);
var result = ngram.Words;
Assert.AreEqual(result, words);
}
public bool IsMapped(ShapeNode leftNode1, Ngram <Segment> target1, ShapeNode rightNode1, ShapeNode leftNode2, Ngram <Segment> target2, ShapeNode rightNode2)
{
if ((target1.Length == 0 || target1.First.Type == CogFeatureSystem.VowelType) && (target2.Length == 0 || target2.First.Type == CogFeatureSystem.VowelType))
{
return(_vowelMappings.IsMapped(leftNode1, target1, rightNode1, leftNode2, target2, rightNode2));
}
if ((target1.Length == 0 || target1.First.Type == CogFeatureSystem.ConsonantType) && (target2.Length == 0 || target2.First.Type == CogFeatureSystem.ConsonantType))
{
return(_consMappings.IsMapped(leftNode1, target1, rightNode1, leftNode2, target2, rightNode2));
}
return(false);
}
public void Process(VarietyPair data)
{
IWordAligner aligner = _project.WordAligners[_alignerId];
var correspondenceColls = new Dictionary <FeatureSymbol, SoundCorrespondenceCollection>
{
{ CogFeatureSystem.Onset, new SoundCorrespondenceCollection() },
{ CogFeatureSystem.Nucleus, new SoundCorrespondenceCollection() },
{ CogFeatureSystem.Coda, new SoundCorrespondenceCollection() }
};
foreach (WordPair wordPair in data.WordPairs.Where(wp => wp.Cognacy))
{
Alignment <Word, ShapeNode> alignment = aligner.Compute(wordPair).GetAlignments().First();
for (int i = 0; i < alignment.ColumnCount; i++)
{
AlignmentCell <ShapeNode> cell1 = alignment[0, i];
AlignmentCell <ShapeNode> cell2 = alignment[1, i];
if (!cell1.IsNull && !cell2.IsNull && cell1.Count == 1 && cell2.Count == 1)
{
SymbolicFeatureValue pos1, pos2;
if (cell1.First.Annotation.FeatureStruct.TryGetValue(CogFeatureSystem.SyllablePosition, out pos1) &&
cell2.First.Annotation.FeatureStruct.TryGetValue(CogFeatureSystem.SyllablePosition, out pos2) &&
(FeatureSymbol)pos1 == (FeatureSymbol)pos2)
{
Ngram <Segment> ngram1 = cell1.ToNgram(_segmentPool);
Ngram <Segment> ngram2 = cell2.ToNgram(_segmentPool);
Segment seg1 = ngram1.First;
Segment seg2 = ngram2.First;
if (!seg1.Equals(seg2))
{
SoundCorrespondenceCollection correspondences = correspondenceColls[(FeatureSymbol)pos1];
SoundCorrespondence corr;
if (!correspondences.TryGet(seg1, seg2, out corr))
{
corr = new SoundCorrespondence(seg1, seg2);
correspondences.Add(corr);
}
corr.Frequency++;
corr.WordPairs.Add(wordPair);
}
}
}
}
}
foreach (KeyValuePair <FeatureSymbol, SoundCorrespondenceCollection> kvp in correspondenceColls)
{
data.CognateSoundCorrespondencesByPosition[kvp.Key].ReplaceAll(kvp.Value);
}
}
public void Load()
{
if (File.Exists(Application.persistentDataPath + "/ngram.dat"))
{
Debug.Log("Loaded");
BinaryFormatter bf = new BinaryFormatter();
FileStream file = File.Open(Application.persistentDataPath + "/ngram.dat", FileMode.Open);
Ngram g = (Ngram)bf.Deserialize(file);
file.Close();
nGram = g.gram;
}
}
public void Save()
{
Debug.Log("Saved");
BinaryFormatter bf = new BinaryFormatter();
FileStream file = File.Create(Application.persistentDataPath + "/ngram.dat");
Ngram g = new Ngram();
g.gram = nGram;
bf.Serialize(file, g);
file.Close();
}
private void UpdateCounts(IWordAligner aligner, ConditionalFrequencyDistribution <SoundContext, Ngram <Segment> > counts, Alignment <Word, ShapeNode> alignment)
{
if (alignment.NormalizedScore < _initialAlignmentThreshold)
{
return;
}
for (int column = 0; column < alignment.ColumnCount; column++)
{
SoundContext lhs = alignment.ToSoundContext(_segmentPool, 0, column, aligner.ContextualSoundClasses);
Ngram <Segment> corr = alignment[1, column].ToNgram(_segmentPool);
counts[lhs].Increment(corr);
}
}
public override bool Matches(ShapeNode leftNode, Ngram<Segment> target, ShapeNode rightNode)
{
string strRep = target.ToString();
if (_ignoreModifiers)
strRep = StripModifiers(strRep);
if (leftNode != null && leftNode.Type() == CogFeatureSystem.AnchorType && _normalizedSegments.Contains(string.Format("#{0}", strRep)))
return true;
if (rightNode != null && rightNode.Type() == CogFeatureSystem.AnchorType && _normalizedSegments.Contains(string.Format("{0}#", strRep)))
return true;
return _normalizedSegments.Contains(strRep);
}
private void WriteNgramCountsFile(string lmPrefix, int ngramSize)
{
int wordCount = 0;
var ngrams = new Dictionary <Ngram <string>, int>();
var vocab = new HashSet <string>();
foreach (TextSegment segment in _parallelCorpus.TargetSegments
.Where((s, i) => !_tuneCorpusIndices.Contains(i) && !s.IsEmpty))
{
var words = new List <string> {
"<s>"
};
foreach (string word in segment.Segment.Preprocess(_targetPreprocessor))
{
if (vocab.Contains(word))
{
words.Add(word);
}
else
{
vocab.Add(word);
words.Add("<unk>");
}
}
words.Add("</s>");
if (words.Count == 2)
{
continue;
}
wordCount += words.Count;
for (int n = 1; n <= ngramSize; n++)
{
for (int i = 0; i <= words.Count - n; i++)
{
var ngram = new Ngram <string>(Enumerable.Range(i, n).Select(j => words[j]));
ngrams.UpdateValue(ngram, () => 0, c => c + 1);
}
}
}
using (var writer = new StreamWriter(lmPrefix))
{
foreach (KeyValuePair <Ngram <string>, int> kvp in ngrams.OrderBy(kvp => kvp.Key.Length)
.ThenBy(kvp => string.Join(" ", kvp.Key)))
{
writer.Write("{0} {1} {2}\n", string.Join(" ", kvp.Key),
kvp.Key.Length == 1 ? wordCount : ngrams[kvp.Key.TakeAllExceptLast()], kvp.Value);
}
}
}
private int GetSonority(ShapeNode node)
{
ShapeNode prevNode = node.Prev;
Ngram <Segment> target = _segmentPool.Get(node);
ShapeNode nextNode = node.Next;
foreach (SonorityClass level in _sonorityScale)
{
if (level.SoundClass.Matches(prevNode, target, nextNode))
{
return(level.Sonority);
}
}
return(0);
}
private IEnumerable <Affix> IdentifyAffixes(Word[] words, string category)
{
foreach (Affix <Segment> affix in _affixIdentifier.IdentifyAffixes(words, AffixType.Prefix))
{
var ngram = new Ngram <Segment>(Segment.Anchor.ToEnumerable().Concat(affix.Ngram));
yield return(CreateAffix(ngram, category, affix.Score));
}
foreach (Affix <Segment> affix in _affixIdentifier.IdentifyAffixes(words, AffixType.Suffix))
{
var ngram = new Ngram <Segment>(affix.Ngram.SkipWhile(seg => seg.Type == CogFeatureSystem.ToneLetterType).Concat(Segment.Anchor));
if (ngram.Length > 1)
{
yield return(CreateAffix(ngram, category, affix.Score));
}
}
}
public static void bleu(Ngram N1, Ngram N2)
{
List <Dictionary <string, int> > N1gram = new List <Dictionary <string, int> >();
List <Dictionary <string, int> > N2gram = new List <Dictionary <string, int> >();
for (int i = 1; i <= 4; i++)
{
N1gram.Add(N1.NgramToDict(i));
N2gram.Add(N2.NgramToDict(i));
}
Dictionary <string, double> result = compareTwoGram(N1gram, N2gram);
foreach (string i in result.Keys)
{
Console.WriteLine("p_{0} is {1}", i, result[i]);
}
}
public void ExecuteMoreSelectTableFTSTest()
{
string dbfile = "taskaludb11.sqlite";
string path = Path.GetTempPath() + "\\" + dbfile;
TouchTestDB(dbfile);
SQLiteClass.moreSize = 10;
for (int i = 1; i <= 20; i++)
{
InsertTableTaskList(dbfile, "hoge", i);
SQLiteClass.ExecuteInsertTableFTSString(path, i, "tasklist_name", Ngram.getNgramText("hoge", 2));
}
InsertTableTaskList(dbfile, "ogem", 21);
SQLiteClass.ExecuteInsertTableFTSString(path, 21, "tasklist_name", Ngram.getNgramText("ogem", 2));
Debug.Assert(SQLiteClass.ExecuteFirstSelectTable(path, "oge"));
}
public bool IsMapped(ShapeNode leftNode1, Ngram<Segment> target1, ShapeNode rightNode1, ShapeNode leftNode2, Ngram<Segment> target2, ShapeNode rightNode2)
{
if (_threshold == 0 || target1.Length == 0 || target2.Length == 0)
return false;
IWordAligner aligner = _project.WordAligners[_alignerID];
foreach (Segment seg1 in target1)
{
foreach (Segment seg2 in target2)
{
if (aligner.Delta(seg1.FeatureStruct, seg2.FeatureStruct) <= _threshold)
return true;
}
}
return false;
}
public abstract bool Matches(ShapeNode leftNode, Ngram<Segment> target, ShapeNode rightNode);
private bool IsRegular(WordPair wordPair, IWordAlignerResult alignerResult, Alignment<Word, ShapeNode> alignment, int column, Ngram<Segment> v)
{
VarietyPair vp = wordPair.VarietyPair;
SoundContext context = alignment.ToSoundContext(_segmentPool, 0, column, alignerResult.WordAligner.ContextualSoundClasses);
FrequencyDistribution<Ngram<Segment>> freqDist = vp.CognateSoundCorrespondenceFrequencyDistribution[context];
int threshold;
if (_automaticRegularCorrespondenceThreshold)
{
int seg2Count = vp.CognateSoundCorrespondenceFrequencyDistribution.Conditions.Where(sc => sc.LeftEnvironment == context.LeftEnvironment && sc.RightEnvironment == context.RightEnvironment)
.Sum(sc => vp.CognateSoundCorrespondenceFrequencyDistribution[sc][v]);
if (!_regularCorrespondenceThresholdTable.TryGetThreshold(vp.CognateCount, freqDist.SampleOutcomeCount, seg2Count, out threshold))
threshold = _defaultRegularCorrepondenceThreshold;
}
else
{
threshold = _defaultRegularCorrepondenceThreshold;
}
return freqDist[v] >= threshold;
}
public bool IsMapped(ShapeNode leftNode1, Ngram<Segment> target1, ShapeNode rightNode1, ShapeNode leftNode2, Ngram<Segment> target2, ShapeNode rightNode2)
{
if (_mappings.Count == 0)
return false;
foreach (string strRep1 in GetStrReps(target1))
{
foreach (string strRep2 in GetStrReps(target2))
{
if (strRep1 == strRep2)
return true;
Dictionary<string, List<Tuple<Environment, Environment>>> segments;
List<Tuple<Environment, Environment>> contexts;
if (_mappingLookup.TryGetValue(strRep1, out segments) && segments.TryGetValue(strRep2, out contexts))
return contexts.Any(ctxt => CheckEnvironment(ctxt.Item1, leftNode1, rightNode1) && CheckEnvironment(ctxt.Item2, leftNode2, rightNode2));
}
}
return false;
}
public bool IsMapped(ShapeNode leftNode1, Ngram<Segment> target1, ShapeNode rightNode1, ShapeNode leftNode2, Ngram<Segment> target2, ShapeNode rightNode2)
{
return _segmentMappingsComponents.Any(sm => sm.IsMapped(leftNode1, target1, rightNode1, leftNode2, target2, rightNode2));
}
private IEnumerable<string> GetStrReps(Ngram<Segment> target)
{
if (target.Length == 0)
{
yield return "-";
}
else
{
foreach (Segment seg in target)
{
yield return seg.StrRep;
if (_implicitComplexSegments && seg.IsComplex)
{
Shape shape = _segmenter.Segment(seg.StrRep);
foreach (ShapeNode node in shape)
yield return node.StrRep();
}
}
}
}
