/// <summary>
/// Create an event reader based on the specified data reader of the specified type using the specified head rules.
/// </summary>
/// <param name="dataReader">
/// A 1-parse-per-line Penn Treebank Style parse.
/// </param>
/// <param name="rules">
/// The head rules.
/// </param>
/// <param name="eventType">
/// The type of events desired (tag, chunk, build, or check).
/// </param>
public ParserEventReader(SharpEntropy.ITrainingDataReader <string> dataReader, IHeadRules rules, EventType eventType)
{
if (eventType == EventType.Build)
{
mBuildContextGenerator = new BuildContextGenerator();
}
else if (eventType == EventType.Check)
{
mCheckContextGenerator = new CheckContextGenerator();
}
else if (eventType == EventType.Chunk)
{
mChunkContextGenerator = new ChunkContextGenerator();
}
else if (eventType == EventType.Tag)
{
mPosContextGenerator = new POS_ContextGenerator();
}
mHeadRules = rules;
mEventType = eventType;
mDataReader = dataReader;
mEventIndex = 0;
if (dataReader.HasNext())
{
AddNewEvents();
}
else
{
mEvents = new SharpEntropy.TrainingEvent[0];
}
}
///<summary>
///Creates a new parser using the specified models and head rules using the specified beam size and advance percentage.
///</summary>
///<param name="buildModel">
///The model to assign constituent labels.
///</param>
///<param name="checkModel">
///The model to determine a constituent is complete.
///</param>
///<param name="tagger">
///The model to assign pos-tags.
///</param>
///<param name="chunker">
///The model to assign flat constituent labels.
///</param>
///<param name="headRules">
///The head rules for head word perculation.
///</param>
///<param name="beamSize">
///The number of different parses kept during parsing.
///</param>
///<param name="advancePercentage">
///The minimal amount of probability mass which advanced outcomes must represent.
///Only outcomes which contribute to the top "advancePercentage" will be explored.
///</param>
public MaximumEntropyParser(SharpEntropy.IMaximumEntropyModel buildModel, SharpEntropy.IMaximumEntropyModel checkModel, IParserTagger tagger, IParserChunker chunker, IHeadRules headRules, int beamSize, double advancePercentage)
{
mPosTagger = tagger;
mBasalChunker = chunker;
mBuildModel = buildModel;
mCheckModel = checkModel;
M = beamSize;
K = beamSize;
Q = advancePercentage;
mBuildProbabilities = new double[mBuildModel.OutcomeCount];
mCheckProbabilities = new double[mCheckModel.OutcomeCount];
mBuildContextGenerator = new BuildContextGenerator();
mCheckContextGenerator = new CheckContextGenerator();
mHeadRules = headRules;
mOldDerivationsHeap = new Util.TreeSet <Parse>();
mNewDerivationsHeap = new Util.TreeSet <Parse>();
mParses = new Util.TreeSet <Parse>();
mStartTypeMap = new Dictionary <string, string>();
mContinueTypeMap = new Dictionary <string, string>();
for (int buildOutcomeIndex = 0, buildOutcomeCount = buildModel.OutcomeCount; buildOutcomeIndex < buildOutcomeCount; buildOutcomeIndex++)
{
string outcome = buildModel.GetOutcomeName(buildOutcomeIndex);
if (outcome.StartsWith(StartPrefix))
{
//System.Console.Error.WriteLine("startMap " + outcome + "->" + outcome.Substring(StartPrefix.Length));
mStartTypeMap.Add(outcome, outcome.Substring(StartPrefix.Length));
}
else if (outcome.StartsWith(ContinuePrefix))
{
//System.Console.Error.WriteLine("contMap " + outcome + "->" + outcome.Substring(ContinuePrefix.Length));
mContinueTypeMap.Add(outcome, outcome.Substring(ContinuePrefix.Length));
}
}
mTopStartIndex = buildModel.GetOutcomeIndex(mTopStart);
mCompleteIndex = checkModel.GetOutcomeIndex(CompleteOutcome);
mIncompleteIndex = checkModel.GetOutcomeIndex(IncompleteOutcome);
}
