public ActionResult Serializations()
{
Random r = new Random(DateTime.Now.Millisecond);
string[] samples =
new string[]
{
CorpusTexts.UnpaText,
CorpusTexts.Gilgamesh,
CorpusTexts.SampleText1,
CorpusTexts.SampleText3,
CorpusTexts.Lao,
CorpusTexts.GeorgeSong,
CorpusTexts.CrazyAnimal,
CorpusTexts.CrazyAnimal2
, CorpusTexts.JanSin
, CorpusTexts.RuneDanceSong
, CorpusTexts.janPusaRice
, CorpusTexts.janPend
};
SerializationsModel sm = new SerializationsModel()
{
SourceText = samples[r.Next(samples.Length)]
};
ProcessSerializationsModel(sm);
return(View(sm));
}
private static void ProcessSerializationsModel(SerializationsModel parse)
{
Dialect dialect = Dialect.LooseyGoosey;
ParserUtils pu = new ParserUtils(dialect);
Normalizer norm = new Normalizer(dialect);
SentenceSplitter ss = new SentenceSplitter(dialect);
string[] sentences = ss.ParseIntoNonNormalizedSentences(parse.SourceText);
StringBuilder errors = new StringBuilder();
List <Sentence> parseSentences = new List <Sentence>();
int i = 0;
foreach (string sentence in sentences)
{
i++;
if (i >= 3)
{
continue;
}
string normalized;
try
{
normalized = norm.NormalizeText(sentence);
}
catch (Exception ex)
{
normalized = "[[CANNOT NORMALIZE: " + ex.Message + " for " + sentence + "]]";
errors.AppendLine(normalized + "<br/>");
continue;
}
Sentence parsedSentence;
try
{
parsedSentence = pu.ParsedSentenceFactory(normalized, sentence);
parseSentences.Add(parsedSentence);
}
catch (Exception ex)
{
string cantParse = "[[CANNOT PARSE: " + ex.Message.ToHtml() + " for " + sentence.ToHtml() + "]]";
errors.AppendLine(cantParse.ToHtml() + "<br/>");
}
finally
{
dialect.TargetGloss = "tp";
}
}
parse.Json = parseSentences.ToJsonNet();
parse.Xml = FormatXml(parseSentences.ToDataContractXml());
parse.Html = "Not implemented yet";
}