public EnglishTreebankParser(string dataDirectory, bool useTagDictionary, bool useCaseSensitiveTagDictionary, int beamSize, double advancePercentage)
{
SharpEntropy.IO.BinaryGisModelReader buildModelReader = new SharpEntropy.IO.BinaryGisModelReader(dataDirectory + "parser\\build.nbin");
SharpEntropy.GisModel buildModel = new SharpEntropy.GisModel(buildModelReader);
SharpEntropy.IO.BinaryGisModelReader checkModelReader = new SharpEntropy.IO.BinaryGisModelReader(dataDirectory + "parser\\check.nbin");
SharpEntropy.IMaximumEntropyModel checkModel = new SharpEntropy.GisModel(checkModelReader);
EnglishTreebankPosTagger posTagger;
if (useTagDictionary)
{
posTagger = new EnglishTreebankPosTagger(dataDirectory + "parser\\tag.nbin", dataDirectory + "parser\\tagdict", useCaseSensitiveTagDictionary);
}
else
{
posTagger = new EnglishTreebankPosTagger(dataDirectory + "parser\\tag.nbin");
}
EnglishTreebankParserChunker chunker = new EnglishTreebankParserChunker(dataDirectory + "parser\\chunk.nbin");
EnglishHeadRules headRules = new EnglishHeadRules(dataDirectory + "parser\\head_rules");
mParser = new MaximumEntropyParser(buildModel, checkModel, posTagger, chunker, headRules, beamSize, advancePercentage);
mTokenizer = new OpenNLP.Tools.Tokenize.EnglishMaximumEntropyTokenizer(dataDirectory + "EnglishTok.nbin");
}
public EnglishTreebankParser(string dataDirectory, bool useTagDictionary, bool useCaseSensitiveTagDictionary, int beamSize, double advancePercentage)
{
SharpEntropy.IO.BinaryGisModelReader buildModelReader = new SharpEntropy.IO.BinaryGisModelReader(dataDirectory + "parser\\build.nbin");
SharpEntropy.GisModel buildModel = new SharpEntropy.GisModel(buildModelReader);
SharpEntropy.IO.BinaryGisModelReader checkModelReader = new SharpEntropy.IO.BinaryGisModelReader(dataDirectory + "parser\\check.nbin");
SharpEntropy.IMaximumEntropyModel checkModel = new SharpEntropy.GisModel(checkModelReader);
EnglishTreebankPosTagger posTagger;
if (useTagDictionary)
{
posTagger = new EnglishTreebankPosTagger(dataDirectory + "parser\\tag.nbin", dataDirectory + "parser\\tagdict", useCaseSensitiveTagDictionary);
}
else
{
posTagger = new EnglishTreebankPosTagger(dataDirectory + "parser\\tag.nbin");
}
EnglishTreebankParserChunker chunker = new EnglishTreebankParserChunker(dataDirectory + "parser\\chunk.nbin");
EnglishHeadRules headRules = new EnglishHeadRules(dataDirectory + "parser\\head_rules");
mParser = new MaximumEntropyParser(buildModel, checkModel, posTagger, chunker, headRules, beamSize, advancePercentage);
mTokenizer = new OpenNLP.Tools.Tokenize.EnglishMaximumEntropyTokenizer(dataDirectory + "EnglishTok.nbin");
}
// Constructors ---------------------
public EnglishTreebankParser(string dataDirectory, bool useTagDictionary, bool useCaseSensitiveTagDictionary, int beamSize, double advancePercentage)
{
var buildModelReader = new SharpEntropy.IO.BinaryGisModelReader(dataDirectory + Path.Combine("parser", "build.nbin"));
var buildModel = new SharpEntropy.GisModel(buildModelReader);
var checkModelReader = new SharpEntropy.IO.BinaryGisModelReader(dataDirectory + Path.Combine("parser", "check.nbin"));
SharpEntropy.IMaximumEntropyModel checkModel = new SharpEntropy.GisModel(checkModelReader);
EnglishTreebankPosTagger posTagger = useTagDictionary ?
new EnglishTreebankPosTagger(dataDirectory + Path.Combine("parser", "tag.nbin"), dataDirectory + Path.Combine("parser", "tagdict"), useCaseSensitiveTagDictionary)
: new EnglishTreebankPosTagger(dataDirectory + Path.Combine("parser", "tag.nbin"));
var chunker = new EnglishTreebankParserChunker(dataDirectory + Path.Combine("parser", "chunk.nbin"));
var headRules = new EnglishHeadRules(dataDirectory + Path.Combine("parser", "head_rules"));
_parser = new MaximumEntropyParser(buildModel, checkModel, posTagger, chunker, headRules, beamSize, advancePercentage);
_tokenizer = new Tokenize.EnglishMaximumEntropyTokenizer(dataDirectory + "EnglishTok.nbin");
}