public void TestCrossCompatibility()
{
using (var data = Tests.OpenFile("/opennlp/tools/tokenize/token.train")) {
var samples = new TokenSampleStream(new PlainTextByLineStream(data));
var mlParams = new TrainingParameters();
mlParams.Set(Parameters.Iterations, "100");
mlParams.Set(Parameters.Cutoff, "0");
var model = TokenizerME.Train(samples, new TokenizerFactory("en", null, true), mlParams);
var sMe = new TokenizerME(model);
TokenizerMETest.TestTokenizer(sMe);
var sProbs = sMe.TokenProbabilities;
// --- java \/
var sFile = Path.GetTempFileName();
model.Serialize(new FileStream(sFile, FileMode.Create));
var jModel = new opennlp.tools.tokenize.TokenizerModel(
OpenNLP.CreateInputStream(sFile)
);
var jMe = new opennlp.tools.tokenize.TokenizerME(jModel);
TestJavaTokenizer(jMe);
var jProbs = jMe.getTokenProbabilities();
Assert.AreEqual(jProbs.Length, sProbs.Length);
for (int i = 0; i < jProbs.Length; i++)
{
// one difference :(
// -0.00000000000000011102230246251565
//
// but still "insignificant" :)
Assert.AreEqual(jProbs[i], sProbs[i], 0.0000000001d);
}
}
}
public void TestTokenizer()
{
var jME = CreateJavaTokenizer(modelFile);
var sME = CreateSharpTokenizer(modelFile);
TestJavaTokenizer(jME);
TokenizerMETest.TestTokenizer(sME);
var jProbs = jME.getTokenProbabilities();
var sProbs = sME.TokenProbabilities;
Assert.AreEqual(jProbs.Length, sProbs.Length);
for (int i = 0; i < jProbs.Length; i++)
{
Assert.AreEqual(jProbs[i], sProbs[i]);
}
// first try again ? woot!
//
// ** the gods of programming... they must love me! #lol :P
}
