private OpenNLP.Tools.Parser.Parse ParseSentence(string sentence)
{
if (mParser == null)
{
mParser = new OpenNLP.Tools.Parser.EnglishTreebankParser(mModelPath, true, false);
}
return(mParser.DoParse(sentence));
}
public static OpenNLP.Tools.Parser.Parse ParseSentence(string sentence)
{
if (mParser == null)
{
mParser = new OpenNLP.Tools.Parser.EnglishTreebankParser(mModelPath, true, false);
}
return mParser.DoParse(sentence);
}
private static void Main(string[] args)
{
/*FileStream ostrm;
* StreamWriter writer;
* TextWriter oldOut = Console.Out;
* try
* {
* ostrm = new FileStream("C:\\Users\\Alexandre\\Desktop\\vs_output_2.txt", FileMode.OpenOrCreate, FileAccess.Write);
* writer = new StreamWriter(ostrm);
* }
* catch (Exception e)
* {
* Console.WriteLine("Cannot open Redirect.txt for writing");
* Console.WriteLine(e.Message);
* return;
* }
* Console.SetOut(writer);*/
/*// read file
* var tokenizerTrainingFilePath = currentDirectory + "Input/tokenizer.train";
* var outputFilePath = currentDirectory + "Output/EnglishTok.nbin";
* MaximumEntropyTokenizer.Train(tokenizerTrainingFilePath, outputFilePath);*/
// test detokenization
/*var tokens = new List<string>() {"do", "n't", "commit"};
* var detokenizer = new DictionaryDetokenizer();
* var result = detokenizer.Detokenize(tokens.ToArray());
* Console.WriteLine(result);*/
/*// train model file
* var inputFilePath = currentDirectory + "Input/sentences.train";
* var outputFilePath = currentDirectory + "Output/" + Path.GetFileNameWithoutExtension(inputFilePath) + ".nbin";
* var iterations = 100;
* var cut = 5;
* var endOfSentenceScanner = new CharactersSpecificEndOfSentenceScanner();
* Console.WriteLine("Training model...");
* var model = MaximumEntropySentenceDetector.TrainModel(inputFilePath, iterations, cut, endOfSentenceScanner);
* Console.WriteLine("Writing output file '{0}'...", outputFilePath);
* new BinaryGisModelWriter().Persist(model, outputFilePath);
* Console.WriteLine("Output file written.");*/
/*// tokenize tests
* var modelPath = currentDirectory + "../Resources/Models/";
* var tokenizer = new EnglishMaximumEntropyTokenizer(modelPath + "EnglishTok.nbin");
*
* var input = "It was built of a bright brick throughout; its skyline was fantastic, and even its ground plan was wild.";
* var tokens = tokenizer.Tokenize(input);
* Console.WriteLine(string.Join(" | ", tokens));*/
// detect tokenization issues
/*var pathToFile = currentDirectory + "Input/tokenizerIssues.txt";
* var modelPath = currentDirectory + "../Resources/Models/";
* var tokenizer = new EnglishMaximumEntropyTokenizer(modelPath + "EnglishTok.nbin");
* var allLines = File.ReadAllLines(pathToFile);
* foreach (var line in allLines)
* {
* var tokens = tokenizer.Tokenize(line);
* Console.WriteLine(string.Join(" | ", tokens));
* }*/
// parsing
var sentence = "This is a generic bank response, which indicates simply that they are not willing to accept the transaction.";
var tokenizer = new EnglishMaximumEntropyTokenizer(currentDirectory + "../Resources/Models/EnglishTok.nbin");
var tokens = tokenizer.Tokenize(sentence);
var modelPath = currentDirectory + "../Resources/Models/";
var parser = new OpenNLP.Tools.Parser.EnglishTreebankParser(modelPath, true, false);
var parse = parser.DoParse(tokens);
// Extract dependencies from lexical tree
var tlp = new PennTreebankLanguagePack();
var gsf = tlp.GrammaticalStructureFactory();
var tree = new ParseTree(parse);
Console.WriteLine(tree);
var gs = gsf.NewGrammaticalStructure(tree);
var dependencies = gs.TypedDependencies();
foreach (var dep in dependencies)
{
Console.WriteLine(dep);
}
Console.WriteLine("===========");
Console.WriteLine("OK");
Console.ReadKey();
}
