// [Explicit-Dispose]
public void Dispose()
{
if (_wn != null)
{
_wn.Dispose();
}
_tokenizer = null;
_sentenceDetector = null;
_posTagger = null;
_chunker = null;
// Dispose CLI/C++ Dll
ap = null;
// Dispose all KB plugins
if (PlugInsNumber > 0)
{
for (int i = 0; i < PlugInsNumber; i++)
{
KBDrivers[i] = null;
KBDriversQueryPointers[i] = null;
}
}
}
private void initComponents()
{
sentenceDetector = new EnglishMaximumEntropySentenceDetector(Path.Combine(ModelDir, "EnglishSD.nbin"));
tokenizer = new EnglishMaximumEntropyTokenizer(Path.Combine(ModelDir, "EnglishTok.nbin"));
posTagger = new EnglishMaximumEntropyPosTagger(Path.Combine(ModelDir, "EnglishPOS.nbin"));
chunker = new EnglishTreebankChunker(Path.Combine(ModelDir, "EnglishChunk.nbin"));
parser = new EnglishTreebankParser(FileUtils.WithSeparator(ModelDir), true, false);
}
private string ChunkSentence(string[] tokens, string[] tags)
{
if (_chunker == null)
{
_chunker = new EnglishTreebankChunker(_modelPath + "EnglishChunk.nbin");
}
return(string.Join(" ", _chunker.GetChunks(tokens, tags)));
}
public static string ChunkSentence(string[] tokens, string[] tags)
{
if (mChunker == null)
{
mChunker = new OpenNLP.Tools.Chunker.EnglishTreebankChunker(mModelPath + "EnglishChunk.nbin");
}
return(mChunker.GetChunks(tokens, tags));
}
internal string ChunkSentence(string[] tokens, string[] tags)
{
if (_mChunker == null)
{
_mChunker = new EnglishTreebankChunker(_modelPath + "EnglishChunk.nbin");
}
return(_mChunker.GetChunks(tokens, tags));
}
public void Setup()
{
var path = Path.Combine(TestContext.CurrentContext.TestDirectory, @"..\..\..\Resources\Models\");
sentenceDetector = new EnglishMaximumEntropySentenceDetector(Path.Combine(path, "EnglishSD.nbin"));
postTagger = new EnglishMaximumEntropyPosTagger(
Path.Combine(path, @"EnglishPOS.nbin"),
Path.Combine(path, @"Parser\tagdict"));
tokenizer = new EnglishMaximumEntropyTokenizer(Path.Combine(path, "EnglishTok.nbin"));
chunker = new EnglishTreebankChunker(Path.Combine(path, @"EnglishChunk.nbin"));
}
private List <SentenceChunk> MyChunker(string str)
{
var modelPath = Path.GetDirectoryName(Process.GetCurrentProcess().MainModule.FileName) + @"\Models\EnglishChunk.nbin";
var chunker = new EnglishTreebankChunker(modelPath);
var tokens = MyTokenizer(str);
var pos = MyPosTagger(str);
var chunks = chunker.GetChunks(tokens, pos);
return(chunks);
}
// Defualt Constructor
public SemCluster(string DataFolder)
{
try
{
Console.WriteLine("\tSemCluster Text Analytics Tool");
Console.WriteLine("\t------------------------------");
Console.WriteLine("\t-Wikipedia local server couldn't be found!");
Console.WriteLine("\t-Seeds SemAve is in manual mode!");
Console.WriteLine();
Console.WriteLine();
Console.WriteLine("-> Resources loading ...");
Console.WriteLine();
#region Loading External Resources
_wn = new WordNetEngine(DataFolder + "WordNet", InMemoryWordNet);
_tokenizer = new EnglishRuleBasedTokenizer(TokenizeHyphen);
_sentenceDetector = new EnglishMaximumEntropySentenceDetector(DataFolder + "EnglishSD.nbin");
_posTagger = new EnglishMaximumEntropyPosTagger(DataFolder + "EnglishPOS.nbin", DataFolder + "\\Build\\tagdict");
_chunker = new EnglishTreebankChunker(DataFolder + "EnglishChunk.nbin");
#endregion
PlugInsManager(DataFolder);
Console.WriteLine("\tResources loaded successfully");
Console.WriteLine("\t" + PlugInsNumber + " KB plug-ins found in the repository");
Console.WriteLine("\tPress any key to continue ...");
Console.ReadKey();
Console.WriteLine();
RootVirtualNode = _wn.GetSynSet("Noun:1740");
ap = new AffinityPropagationClustering();
SynSetRelationTypes = new WordNetApi.Core.WordNetEngine.SynSetRelation[2];
SynSetRelationTypes[0] = WordNetApi.Core.WordNetEngine.SynSetRelation.Hypernym;
SynSetRelationTypes[1] = WordNetApi.Core.WordNetEngine.SynSetRelation.InstanceHypernym;
}
catch (Exception ex)
{
Dispose();
throw new Exception(ex.Message);
}
}
