public void SplitRealTest()
{
Dialect dialect = Dialect.LooseyGoosey;
dialect.TargetGloss = "en";
CorpusKnowledge c = new CorpusKnowledge(CorpusTexts.UnpaText, dialect);
int i = 0;
foreach (string sentence in c.Setences)
{
i++;
Console.WriteLine(i + ") " + sentence);
}
}
public void ParseAndToStringSimpleIntransitive()
{
string sample = "jan Mato li jan soweli.";
Dialect dialect = Dialect.LooseyGoosey;
dialect.TargetGloss = "en";
CorpusKnowledge ck = new CorpusKnowledge(sample, dialect);
List <Sentence>[] s = ck.MakeSentences();
foreach (List <Sentence> d in s)
{
foreach (Sentence js in d)
{
Sentence sentence = js;
Console.WriteLine(sentence.ToString());
Console.WriteLine(sentence.ToString("b"));
Assert.AreEqual(sample, sentence.ToString());
}
}
}
public void IdentifyDiscourses_CanItEvenParseTheSentences()
{
string sample = CorpusTexts.UnpaText;
Dialect dialect = Dialect.LooseyGoosey;
dialect.TargetGloss = "en";
CorpusKnowledge ck = new CorpusKnowledge(sample, dialect);
NormalizeExplicit norm = new NormalizeExplicit(dialect);
List <Sentence>[] s = ck.MakeSentences();
for (int i = 0; i < s.Length; i++)
{
foreach (Sentence sentence in s[i])
{
string reToStringed = sentence.ToString();
bool match = ck.Setences.Any(x => x.Trim() == reToStringed);
if (!match)
{
Console.WriteLine(match + " O:" + ck.Setences[i]);
Console.WriteLine(match + " R:" + sentence.ToString("b"));
}
}
}
}
