public override object UpdateComponent()
{
SimpleSyllabifier syllabifier = _automaticSyllabificationEnabled
? new SspSyllabifier(_combineVowels, _combineConsonants, _vowelsSameSonorityTautosyllabic, _segmentPool, _sonorityClasses.SoundClasses.Select(sc => new SonorityClass(sc.Sonority, sc.DomainSoundClass)))
: new SimpleSyllabifier(_combineVowels, _combineConsonants);
_projectService.Project.VarietyProcessors[ComponentIdentifiers.Syllabifier] = syllabifier;
_analysisService.SegmentAll();
return(syllabifier);
}
public void Migrate_SimpleSyllabifier_SimpleSyllabifierNotUpdated()
{
var syllabifier = new SimpleSyllabifier(true, true);
_project.VarietyProcessors[ComponentIdentifiers.Syllabifier] = syllabifier;
var pm = new ProjectMigration4();
pm.Migrate(_segmentPool, _project);
Assert.That(_project.VarietyProcessors[ComponentIdentifiers.Syllabifier], Is.EqualTo(syllabifier));
}
public void SetUp()
{
_featSys = new FeatureSystem
{
new SymbolicFeature("place",
new FeatureSymbol("bilabial"),
new FeatureSymbol("labiodental"),
new FeatureSymbol("dental"),
new FeatureSymbol("alveolar"),
new FeatureSymbol("retroflex"),
new FeatureSymbol("palato-alveolar"),
new FeatureSymbol("palatal"),
new FeatureSymbol("velar"),
new FeatureSymbol("uvular"),
new FeatureSymbol("pharyngeal"),
new FeatureSymbol("glottal")),
new SymbolicFeature("manner",
new FeatureSymbol("stop"),
new FeatureSymbol("affricate"),
new FeatureSymbol("fricative"),
new FeatureSymbol("approximant"),
new FeatureSymbol("trill"),
new FeatureSymbol("flap"),
new FeatureSymbol("close-vowel"),
new FeatureSymbol("mid-vowel"),
new FeatureSymbol("open-vowel")),
new SymbolicFeature("voice",
new FeatureSymbol("voice+"),
new FeatureSymbol("voice-")),
new SymbolicFeature("height",
new FeatureSymbol("close"),
new FeatureSymbol("near-close"),
new FeatureSymbol("close-mid"),
new FeatureSymbol("mid"),
new FeatureSymbol("open-mid"),
new FeatureSymbol("near-open"),
new FeatureSymbol("open")),
new SymbolicFeature("backness",
new FeatureSymbol("front"),
new FeatureSymbol("near-front"),
new FeatureSymbol("central"),
new FeatureSymbol("near-back"),
new FeatureSymbol("back")),
new SymbolicFeature("round",
new FeatureSymbol("round+"),
new FeatureSymbol("round-"))
};
_segmentPool = new SegmentPool();
_segmenter = new Segmenter(_spanFactory)
{
Consonants =
{
{"c", FeatureStruct.New(_featSys).Symbol("palatal").Symbol("stop").Symbol("voice-").Value},
{"b", FeatureStruct.New(_featSys).Symbol("bilabial").Symbol("stop").Symbol("voice+").Value},
{"r", FeatureStruct.New(_featSys).Symbol("alveolar").Symbol("trill").Symbol("voice+").Value}
},
Vowels =
{
{"a", FeatureStruct.New(_featSys).Symbol("open").Symbol("front").Symbol("round-").Symbol("open-vowel").Symbol("voice+").Value}
},
Boundaries = {"-"},
Modifiers = {"\u0303", "\u0308"},
Joiners = {"\u0361"}
};
var syllabifier = new SimpleSyllabifier(false, false);
var meaning = new Meaning("test", null);
var v1 = new Variety("variety1");
_word1 = new Word("car", meaning);
_segmenter.Segment(_word1);
v1.Words.Add(_word1);
syllabifier.Process(v1);
var v2 = new Variety("variety2");
_word2 = new Word("bar", meaning);
_segmenter.Segment(_word2);
v2.Words.Add(_word2);
syllabifier.Process(v2);
var vp = new VarietyPair(v1, v2);
vp.SoundChangeFrequencyDistribution = new ConditionalFrequencyDistribution<SoundContext, Ngram<Segment>>();
vp.SoundChangeFrequencyDistribution[_word1.Shape.First.ToSoundContext(_segmentPool, Enumerable.Empty<SoundClass>())].Increment(_segmentPool.Get(_word2.Shape.First));
vp.SoundChangeProbabilityDistribution = new ConditionalProbabilityDistribution<SoundContext, Ngram<Segment>>(vp.SoundChangeFrequencyDistribution,
(sc, fd) => new MaxLikelihoodProbabilityDistribution<Ngram<Segment>>(fd));
v1.VarietyPairs.VarietyPairAdded(vp);
v2.VarietyPairs.VarietyPairAdded(vp);
}
public void Migrate_SimpleSyllabifier_SimpleSyllabifierNotUpdated()
{
var syllabifier = new SimpleSyllabifier(true, true);
_project.VarietyProcessors[ComponentIdentifiers.Syllabifier] = syllabifier;
var pm = new ProjectMigration4();
pm.Migrate(_segmentPool, _project);
Assert.That(_project.VarietyProcessors[ComponentIdentifiers.Syllabifier], Is.EqualTo(syllabifier));
}
public void SetUp()
{
_featSys = new FeatureSystem
{
new SymbolicFeature("place",
new FeatureSymbol("bilabial"),
new FeatureSymbol("labiodental"),
new FeatureSymbol("dental"),
new FeatureSymbol("alveolar"),
new FeatureSymbol("retroflex"),
new FeatureSymbol("palato-alveolar"),
new FeatureSymbol("palatal"),
new FeatureSymbol("velar"),
new FeatureSymbol("uvular"),
new FeatureSymbol("pharyngeal"),
new FeatureSymbol("glottal")),
new SymbolicFeature("manner",
new FeatureSymbol("stop"),
new FeatureSymbol("affricate"),
new FeatureSymbol("fricative"),
new FeatureSymbol("approximant"),
new FeatureSymbol("trill"),
new FeatureSymbol("flap"),
new FeatureSymbol("close-vowel"),
new FeatureSymbol("mid-vowel"),
new FeatureSymbol("open-vowel")),
new SymbolicFeature("voice",
new FeatureSymbol("voice+"),
new FeatureSymbol("voice-")),
new SymbolicFeature("height",
new FeatureSymbol("close"),
new FeatureSymbol("near-close"),
new FeatureSymbol("close-mid"),
new FeatureSymbol("mid"),
new FeatureSymbol("open-mid"),
new FeatureSymbol("near-open"),
new FeatureSymbol("open")),
new SymbolicFeature("backness",
new FeatureSymbol("front"),
new FeatureSymbol("near-front"),
new FeatureSymbol("central"),
new FeatureSymbol("near-back"),
new FeatureSymbol("back")),
new SymbolicFeature("round",
new FeatureSymbol("round+"),
new FeatureSymbol("round-"))
};
_segmentPool = new SegmentPool();
_segmenter = new Segmenter(_spanFactory)
{
Consonants =
{
{ "c", FeatureStruct.New(_featSys).Symbol("palatal").Symbol("stop").Symbol("voice-").Value },
{ "b", FeatureStruct.New(_featSys).Symbol("bilabial").Symbol("stop").Symbol("voice+").Value },
{ "r", FeatureStruct.New(_featSys).Symbol("alveolar").Symbol("trill").Symbol("voice+").Value }
},
Vowels =
{
{ "a", FeatureStruct.New(_featSys).Symbol("open").Symbol("front").Symbol("round-").Symbol("open-vowel").Symbol("voice+").Value }
},
Boundaries = { "-" },
Modifiers = { "\u0303", "\u0308" },
Joiners = { "\u0361" }
};
var syllabifier = new SimpleSyllabifier(false, false);
var meaning = new Meaning("test", null);
var v1 = new Variety("variety1");
_word1 = new Word("car", meaning);
_segmenter.Segment(_word1);
v1.Words.Add(_word1);
syllabifier.Process(v1);
var v2 = new Variety("variety2");
_word2 = new Word("bar", meaning);
_segmenter.Segment(_word2);
v2.Words.Add(_word2);
syllabifier.Process(v2);
var vp = new VarietyPair(v1, v2);
vp.CognateSoundCorrespondenceFrequencyDistribution = new ConditionalFrequencyDistribution <SoundContext, Ngram <Segment> >();
vp.CognateSoundCorrespondenceFrequencyDistribution[_word1.Shape.First.ToSoundContext(_segmentPool, Enumerable.Empty <SoundClass>())].Increment(_segmentPool.Get(_word2.Shape.First));
vp.CognateSoundCorrespondenceProbabilityDistribution = new ConditionalProbabilityDistribution <SoundContext, Ngram <Segment> >(vp.CognateSoundCorrespondenceFrequencyDistribution,
(sc, fd) => new MaxLikelihoodProbabilityDistribution <Ngram <Segment> >(fd));
v1.VarietyPairs.VarietyPairAdded(vp);
v2.VarietyPairs.VarietyPairAdded(vp);
}
