public void SourceWords_Count()
{
using (var swAlignModel = new ThotWordAlignmentModel(ModelPath))
{
Assert.That(swAlignModel.SourceWords.Count, Is.EqualTo(513));
}
}
public void TargetWords_Count()
{
using (var swAlignModel = new ThotWordAlignmentModel(ModelPath))
{
Assert.That(swAlignModel.TargetWords.Count, Is.EqualTo(363));
}
}
public void TargetWords_IndexAccessor()
{
using (var swAlignModel = new ThotWordAlignmentModel(ModelPath))
{
Assert.That(swAlignModel.TargetWords[0], Is.EqualTo("NULL"));
Assert.That(swAlignModel.TargetWords[362], Is.EqualTo("pay"));
}
}
public void SourceWords_IndexAccessor()
{
using (var swAlignModel = new ThotWordAlignmentModel(ModelPath))
{
Assert.That(swAlignModel.SourceWords[0], Is.EqualTo("NULL"));
Assert.That(swAlignModel.SourceWords[512], Is.EqualTo("pagar"));
}
}
public void GetTranslationProbability_ReturnsCorrectProbability()
{
using (var swAlignModel = new ThotWordAlignmentModel(ModelPath))
{
Assert.That(swAlignModel.GetTranslationProbability("esto", "this"), Is.EqualTo(0.0).Within(0.01));
Assert.That(swAlignModel.GetTranslationProbability("es", "is"), Is.EqualTo(0.65).Within(0.01));
Assert.That(swAlignModel.GetTranslationProbability("una", "a"), Is.EqualTo(0.70).Within(0.01));
Assert.That(swAlignModel.GetTranslationProbability("prueba", "test"), Is.EqualTo(0.0).Within(0.01));
}
}
public void GetBestAlignment_ReturnsCorrectAlignment()
{
using (var swAlignModel = new ThotWordAlignmentModel(ModelPath))
{
string[] sourceSegment = "por favor , ¿ podríamos ver otra habitación ?".Split(' ');
string[] targetSegment = "could we see another room , please ?".Split(' ');
WordAlignmentMatrix waMatrix = swAlignModel.GetBestAlignment(sourceSegment, targetSegment);
Assert.That(waMatrix.ToGizaFormat(sourceSegment, targetSegment), Is.EqualTo("could we see another room , please ?\n"
+ "NULL ({ }) por ({ 6 }) favor ({ 7 }) , ({ }) ¿ ({ 8 }) podríamos ({ 1 2 }) ver ({ 3 }) otra ({ 4 }) habitación ({ 5 }) ? ({ })\n"));
}
}
public ThotSmtModel(ThotSmtParameters parameters)
{
Parameters = parameters;
Parameters.Freeze();
Handle = Thot.LoadSmtModel(Parameters);
_directWordAlignmentModel = new ThotWordAlignmentModel(
Thot.smtModel_getSingleWordAlignmentModel(Handle));
_inverseWordAlignmentModel = new ThotWordAlignmentModel(
Thot.smtModel_getInverseSingleWordAlignmentModel(Handle));
}
private void TrainWordAlignmentModel(string swmPrefix, Func <string, string> sourcePreprocessor,
Func <string, string> targetPreprocessor, ParallelTextCorpus corpus, IProgress <ProgressStatus> progress)
{
using (var model = new ThotWordAlignmentModel(swmPrefix, true))
{
foreach (ParallelTextSegment segment in GetTrainingSegments(corpus))
{
model.AddSegmentPair(segment, sourcePreprocessor, targetPreprocessor);
}
model.Train(progress);
model.Save();
}
}
private void GenerateBestAlignments(string swmPrefix, string fileName, Func <string, string> sourcePreprocessor,
Func <string, string> targetPreprocessor, ParallelTextCorpus corpus, string name,
ThotTrainProgressReporter reporter)
{
reporter.Step($"Generating best {name} alignments");
using (var model = new ThotWordAlignmentModel(swmPrefix))
using (var writer = new StreamWriter(fileName))
{
foreach (ParallelTextSegment segment in GetTrainingSegments(corpus))
{
writer.Write($"# {segment.Text.Id} {segment.SegmentRef}\n");
writer.Write(model.GetGizaFormatString(segment, sourcePreprocessor, targetPreprocessor));
reporter.CheckCanceled();
}
}
}
private void GenerateBestAlignments(string swmPrefix, string fileName, Func <string, string> sourcePreprocessor,
Func <string, string> targetPreprocessor, ParallelTextCorpus corpus, IProgress <ProgressStatus> progress)
{
using (var model = new ThotWordAlignmentModel(swmPrefix))
using (var writer = new StreamWriter(fileName))
{
int i = 0;
foreach (ParallelTextSegment segment in GetTrainingSegments(corpus))
{
progress.Report(new ProgressStatus(i, Stats.TrainedSegmentCount));
writer.Write($"# {segment.Text.Id} {segment.SegmentRef}\n");
writer.Write(model.GetGizaFormatString(segment, sourcePreprocessor, targetPreprocessor));
i++;
}
progress.Report(new ProgressStatus(1.0));
}
}
private void TrainWordAlignmentModel(string swmPrefix, Func <string, string> sourcePreprocessor,
Func <string, string> targetPreprocessor, ParallelTextCorpus corpus, string name,
ThotTrainProgressReporter reporter)
{
using (var model = new ThotWordAlignmentModel(swmPrefix, true))
{
foreach (ParallelTextSegment segment in GetTrainingSegments(corpus))
{
model.AddSegmentPair(segment, sourcePreprocessor, targetPreprocessor);
}
for (int i = 0; i < 5; i++)
{
reporter.Step($"Training {name} alignment model");
model.TrainingIteration();
}
model.Save();
}
}