public void GenerateObjectAndStringifyParseGloss()
{
//Important! create teh dialect only once, mixing this is bad biz.
Dialect dialect = Dialect.LooseyGoosey;
dialect.IncludeApocrypha = false;
List <Sentence> sentences = new List <Sentence>();
TextGenerator tg = new TextGenerator(dialect);
for (int i = 0; i < 1000; i++)
{
sentences.Add(tg.GenerateSentence());
}
ParserUtils pu = new ParserUtils(dialect);
GlossMaker gm = new GlossMaker();
foreach (Sentence sentence in sentences)
{
string s = sentence.ToString();
NormalizeExplicit norm = new NormalizeExplicit(dialect);
string sn = norm.NormalizeText(s);
Console.WriteLine(sn);
Console.WriteLine(sentence.ToString("b"));
Console.WriteLine(gm.Gloss(sn, s, dialect));
Sentence reparsed = pu.ParsedSentenceFactory(sn, s);
string reparseString = reparsed.ToString();
//string normalize = Normalizer.NormalizeText(reparseString, dialect);
string normalize = norm.NormalizeText(reparseString);
Console.WriteLine(normalize);
Console.WriteLine(gm.Gloss(normalize, s, dialect));
}
}
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"));
}
}
}
}
