public bool IsKnownWord(string word)
{
Utils.ThrowException(mSuffixTree == null ? new InvalidOperationException() : null);
Utils.ThrowException(word == null ? new ArgumentNullException("word") : null);
return(mSuffixTree.Contains(word.ToLower()));
}
// *** End of Dec-2011 ***
public void Tag(Corpus corpus, out int lemmaCorrect, out int lemmaCorrectLowercase, out int lemmaWords, bool xmlMode)
{
DateTime startTime = DateTime.Now;
mLogger.Debug("Tag", "Označujem besedilo ...");
lemmaCorrect = 0;
lemmaCorrectLowercase = 0;
lemmaWords = 0;
for (int i = 0; i < corpus.TaggedWords.Count; i++)
{
mLogger.ProgressFast(Logger.Level.Info, /*sender=*/ this, "Tag", "{0} / {1}", i + 1, corpus.TaggedWords.Count);
BinaryVector featureVector = corpus.GenerateFeatureVector(i, mFeatureSpace, /*extendFeatureSpace=*/ false, mSuffixTree);
Prediction <string> result = mModel.Predict(featureVector);
if ((corpus.TaggedWords[i].MoreInfo != null && corpus.TaggedWords[i].MoreInfo.Punctuation) ||
(corpus.TaggedWords[i].MoreInfo == null && mNonWordRegex.Match(corpus.TaggedWords[i].WordLower).Success)) // non-word
{
bool flag = false;
foreach (KeyDat <double, string> item in result)
{
if (corpus.TaggedWords[i].Word == item.Dat || corpus.TaggedWords[i].Word + "<eos>" == item.Dat)
{
corpus.TaggedWords[i].Tag = item.Dat;
flag = true;
break;
}
}
if (!flag)
{
corpus.TaggedWords[i].Tag = corpus.TaggedWords[i].Word;
}
}
else // word
{
string wordLower = corpus.TaggedWords[i].WordLower;
Set <string> filter = mSuffixTree.Contains(wordLower) ? mSuffixTree.GetTags(wordLower) : null;
result = ProcessResult(result, filter);//???!!!
string goldTag = corpus.TaggedWords[i].Tag;
string word = corpus.TaggedWords[i].Word;
string rule;
if (filter == null)
{
filter = Rules.ApplyTaggerRules(CreateFilterFromResult(result), word, out rule);
}
else
{
filter = Rules.ApplyTaggerRules(filter, word, out rule);
if (filter.Count == 0)
{
filter = Rules.ApplyTaggerRules(CreateFilterFromResult(result), word, out rule);
}
}
result = ProcessResult(result, filter);//???!!!
string predictedTag;
if (result.Count == 0)
{
predictedTag = Rules.GetMostFrequentTag(wordLower, filter);
}
else
{
predictedTag = result.BestClassLabel;
}
corpus.TaggedWords[i].Tag = predictedTag;
if (mLemmatizer != null)
{
string lemma;
lemma = mConsiderTags ? mLemmatizer.Lemmatize(wordLower, predictedTag) : mLemmatizer.Lemmatize(wordLower);
lemma = Rules.FixLemma(lemma, corpus.TaggedWords[i].Word, predictedTag);
if (string.IsNullOrEmpty(lemma))
{
lemma = wordLower;
}
if (xmlMode)
{
lemmaWords++;
if (lemma == corpus.TaggedWords[i].Lemma)
{
lemmaCorrect++;
}
if (corpus.TaggedWords[i].Lemma != null && lemma.ToLower() == corpus.TaggedWords[i].Lemma.ToLower())
{
lemmaCorrectLowercase++;
}
}
corpus.TaggedWords[i].Lemma = lemma;
}
}
}
TimeSpan span = DateTime.Now - startTime;
mLogger.Debug("Tag", "Trajanje označevanja: {0:00}:{1:00}:{2:00}.{3:000}.", span.Hours, span.Minutes, span.Seconds, span.Milliseconds);
}