public AbstractDependencyGrammar(ITreebankLanguagePack tlp, ITagProjection tagProjection, bool directional, bool useDistance, bool useCoarseDistance, Options op, IIndex <string> wordIndex, IIndex <string> tagIndex)
{
this.tlp = tlp;
this.tagProjection = tagProjection;
this.directional = directional;
this.useDistance = useDistance;
this.useCoarseDistance = useCoarseDistance;
this.op = op;
this.wordIndex = wordIndex;
this.tagIndex = tagIndex;
stopTW = new IntTaggedWord(IntTaggedWord.StopWordInt, IntTaggedWord.StopTagInt);
wildTW = new IntTaggedWord(IntTaggedWord.AnyWordInt, IntTaggedWord.AnyTagInt);
InitTagBins();
}
public MLEDependencyGrammar(ITagProjection tagProjection, ITreebankLangParserParams tlpParams, bool directional, bool useDistance, bool useCoarseDistance, Options op, IIndex <string> wordIndex, IIndex <string> tagIndex)
: base(tlpParams.TreebankLanguagePack(), tagProjection, directional, useDistance, useCoarseDistance, op, wordIndex, tagIndex)
{
// reduced tag space
// public double distanceDecay = 0.0;
// extra smoothing hyperparameters for tag projection backoff. Only used if useSmoothTagProjection is true.
// back off Bayesian m-estimate of aTW given aT to aPTW given aPT
// back off Bayesian m-estimate of aTW_hTd to aPTW_hPTd (?? guessed, not tuned)
// back off Bayesian m-estimate of aT_hTd to aPT_hPTd (?? guessed, not tuned)
// back off word prediction from tag to projected tag (only used if useUnigramWordSmoothing is true)
useSmoothTagProjection = op.useSmoothTagProjection;
useUnigramWordSmoothing = op.useUnigramWordSmoothing;
argCounter = new ClassicCounter <IntDependency>();
stopCounter = new ClassicCounter <IntDependency>();
double[] smoothParams = tlpParams.MLEDependencyGrammarSmoothingParams();
smooth_aT_hTWd = smoothParams[0];
smooth_aTW_hTWd = smoothParams[1];
smooth_stop = smoothParams[2];
interp = smoothParams[3];
// cdm added Jan 2007 to play with dep grammar smoothing. Integrate this better if we keep it!
smoothTP = new BasicCategoryTagProjection(tlpParams.TreebankLanguagePack());
}