List of loadPath() Examples

Examples of loadPath()

edu.stanford.nlp.trees.DiskTreebank.loadPath()
Load trees from given directory. This version just records the paths to be processed, and actually processes them at apply time. @param path file or directory to load from @param filt a FilenameFilter of files to load
edu.stanford.nlp.trees.MemoryTreebank.loadPath()
Load trees from given directory. @param path file or directory to load from @param filt a FilenameFilter of files to load
edu.stanford.nlp.trees.Treebank.loadPath()
Load a sequence of trees from given directory and its subdirectories. Trees should reside in files with the suffix "mrg". Or: load a single file with the given pathName (including extension) @param pathName file or directory name
org.fnlp.train.pos.DictPOS.loadPath()
读入词典 @param path @param suffix @param out @throws IOException

Examples of edu.stanford.nlp.trees.Treebank.loadPath()

    
    final TreebankLangParserParams tlpp = Languages.getLanguageParams(LANGUAGE);
    final PrintWriter pwOut = tlpp.pw();


    final Treebank guessTreebank = tlpp.diskTreebank();
    guessTreebank.loadPath(guessFile);
    pwOut.println("GUESS TREEBANK:");
    pwOut.println(guessTreebank.textualSummary());


    final Treebank goldTreebank = tlpp.diskTreebank();
    goldTreebank.loadPath(goldFile);

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Examples of edu.stanford.nlp.trees.Treebank.loadPath()

    guessTreebank.loadPath(guessFile);
    pwOut.println("GUESS TREEBANK:");
    pwOut.println(guessTreebank.textualSummary());


    final Treebank goldTreebank = tlpp.diskTreebank();
    goldTreebank.loadPath(goldFile);
    pwOut.println("GOLD TREEBANK:");
    pwOut.println(goldTreebank.textualSummary());


    final CollinsDepEval depEval = new CollinsDepEval("CollinsDep", true, tlpp.headFinder(), tlpp.treebankLanguagePack().startSymbol());

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Examples of edu.stanford.nlp.trees.Treebank.loadPath()

    }


    final PrintWriter pwOut = tlpp.pw();


    final Treebank guessTreebank = tlpp.diskTreebank();
    guessTreebank.loadPath(guessFile);
    pwOut.println("GUESS TREEBANK:");
    pwOut.println(guessTreebank.textualSummary());


    final Treebank goldTreebank = tlpp.diskTreebank();
    goldTreebank.loadPath(goldFile);

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Examples of edu.stanford.nlp.trees.Treebank.loadPath()

    guessTreebank.loadPath(guessFile);
    pwOut.println("GUESS TREEBANK:");
    pwOut.println(guessTreebank.textualSummary());


    final Treebank goldTreebank = tlpp.diskTreebank();
    goldTreebank.loadPath(goldFile);
    pwOut.println("GOLD TREEBANK:");
    pwOut.println(goldTreebank.textualSummary());


    final String evalName = (tagMode) ? "TsarfatyTAG" : "TsarfatySEG";
    final TsarfatyEval eval = new TsarfatyEval(evalName, tagMode);

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Examples of edu.stanford.nlp.trees.Treebank.loadPath()

    } else {
      String[] options = {"-frenchFactored"};
      tlpp.setOptionFlag(options, 0);
    }
    Treebank tb = tlpp.diskTreebank();
    tb.loadPath(args[1]);


    MorphoFeatureSpecification morphoSpec = language.equals(Language.Arabic) ?
        new ArabicMorphoFeatureSpecification() : new FrenchMorphoFeatureSpecification();


    String[] features = args[2].trim().split(",");

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Examples of edu.stanford.nlp.trees.Treebank.loadPath()

      System.err.println("java BaseLexicon treebankPath fileRange unknownWordModel words*");
      return;
    }
    System.out.print("Training BaseLexicon from " + args[0] + ' ' + args[1] + " ... ");
    Treebank tb = new DiskTreebank();
    tb.loadPath(args[0], new NumberRangesFileFilter(args[1], true));
    // TODO: change this interface so the lexicon creates its own indices?
    Index<String> wordIndex = new HashIndex<String>();
    Index<String> tagIndex = new HashIndex<String>();
    Options op = new Options();
    op.lexOptions.useUnknownWordSignatures = Integer.parseInt(args[2]);

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Examples of edu.stanford.nlp.trees.Treebank.loadPath()

    if (sentFileName == null && treeFileName == null) {
      System.err.println("Usage: java SemanticGraph [-sentFile file|-treeFile file] [-testGraph]");
      Tree t = Tree.valueOf("(ROOT (S (NP (NP (DT An) (NN attempt)) (PP (IN on) (NP (NP (NNP Andres) (NNP Pastrana) (POS 's)) (NN life)))) (VP (VBD was) (VP (VBN carried) (PP (IN out) (S (VP (VBG using) (NP (DT a) (JJ powerful) (NN bomb))))))) (. .)))");
      tb.add(t);
    } else if (treeFileName != null) {
      tb.loadPath(treeFileName);
    } else {
      String[] options = {"-retainNPTmpSubcategories"};
      LexicalizedParser lp = LexicalizedParser.loadModel("/u/nlp/data/lexparser/englishPCFG.ser.gz", options);
      BufferedReader reader = null;
      try {

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Examples of edu.stanford.nlp.trees.Treebank.loadPath()

    // Command-line has been parsed. Configure the metric for evaluation.
    tlpp.setInputEncoding(encoding);
    final PrintWriter pwOut = tlpp.pw();


    final Treebank guessTreebank = tlpp.diskTreebank();
    guessTreebank.loadPath(guessFile);
    pwOut.println("GUESS TREEBANK:");
    pwOut.println(guessTreebank.textualSummary());


    final Treebank goldTreebank = tlpp.diskTreebank();
    goldTreebank.loadPath(goldFile);

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Examples of edu.stanford.nlp.trees.Treebank.loadPath()

    guessTreebank.loadPath(guessFile);
    pwOut.println("GUESS TREEBANK:");
    pwOut.println(guessTreebank.textualSummary());


    final Treebank goldTreebank = tlpp.diskTreebank();
    goldTreebank.loadPath(goldFile);
    pwOut.println("GOLD TREEBANK:");
    pwOut.println(goldTreebank.textualSummary());


    final Evalb metric = new Evalb("Evalb LP/LR", true);
    final EvalbByCat evalbCat = (doCatLevel) ? new EvalbByCat("EvalbByCat LP/LR", true, labelRegex) : null;

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Examples of edu.stanford.nlp.trees.Treebank.loadPath()

      System.err.println("Reading in trees from " + testTreebankPath);
      if (testTreebankFilter != null) {
        System.err.println("Filtering on " + testTreebankFilter);
      }
      testTreebank = lexparser.getOp().tlpParams.memoryTreebank();;
      testTreebank.loadPath(testTreebankPath, testTreebankFilter);
      System.err.println("Read in " + testTreebank.size() + " trees for testing");
    }


    double[] labelResults = new double[weights.length];
    double[] tagResults = new double[weights.length];

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