/// <summary>
/// Perform sentence detection the input stream.
///
/// A newline will be treated as a paragraph boundary.
/// </summary>
public override void run(string[] args)
{
if (args.Length != 1)
{
Console.WriteLine(Help);
}
else
{
SentenceModel model = (new SentenceModelLoader()).load(new File(args[0]));
SentenceDetectorME sdetector = new SentenceDetectorME(model);
ObjectStream <string> paraStream = new ParagraphStream(new PlainTextByLineStream(new InputStreamReader(Console.OpenStandardInput)));
PerformanceMonitor perfMon = new PerformanceMonitor(System.err, "sent");
perfMon.start();
try
{
string para;
while ((para = paraStream.read()) != null)
{
string[] sents = sdetector.sentDetect(para);
foreach (string sentence in sents)
{
Console.WriteLine(sentence);
}
perfMon.incrementCounter(sents.Length);
Console.WriteLine();
}
}
catch (IOException e)
{
CmdLineUtil.handleStdinIoError(e);
}
perfMon.stopAndPrintFinalResult();
}
}
public override void run(string[] args)
{
if (0 == args.Length)
{
Console.WriteLine(Help);
}
else
{
DoccatModel model = (new DoccatModelLoader()).load(new File(args[0]));
DocumentCategorizerME doccat = new DocumentCategorizerME(model);
ObjectStream <string> documentStream = new ParagraphStream(new PlainTextByLineStream(new InputStreamReader(Console.OpenStandardInput)));
PerformanceMonitor perfMon = new PerformanceMonitor(System.err, "doc");
perfMon.start();
try
{
string document;
while ((document = documentStream.read()) != null)
{
double[] prob = doccat.categorize(WhitespaceTokenizer.INSTANCE.tokenize(document));
string category = doccat.getBestCategory(prob);
DocumentSample sample = new DocumentSample(category, document);
Console.WriteLine(sample.ToString());
perfMon.incrementCounter();
}
}
catch (IOException e)
{
CmdLineUtil.handleStdinIoError(e);
}
perfMon.stopAndPrintFinalResult();
}
}