Options.java
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package is2.parser;
import is2.util.OptionsSuper;
public final class Options extends OptionsSuper {
	public Options(String[] args) {
		for (int i = 0; i < args.length; i++) {
			if (args[i].equals("--help"))
				explain();
			if (args[i].equals("-decode")) {
				decodeProjective = args[i + 1].equals("proj");
				i++;
			} else if (args[i].equals("-decodeTH")) {
				decodeTH = Double.parseDouble(args[i + 1]);
				i++;
			} else if (args[i].equals("-nonormalize")) {
				normalize = false;
			} else if (args[i].equals("-features")) {
				features = args[i + 1];
				i++;
			} else if (args[i].equals("-hsize")) {
				hsize = Integer.parseInt(args[i + 1]);
				i++;
			} else if (args[i].equals("-len")) {
				maxLen = Integer.parseInt(args[i + 1]);
				i++;
			} else if (args[i].equals("-cores")) {
				cores = Integer.parseInt(args[i + 1]);
				i++;
			} else if (args[i].equals("-no2nd")) {
				no2nd = true;
			} else if (args[i].equals("-few2nd")) {
				few2nd = true;
			} else
				super.addOption(args, i);
		}
	}
	private void explain() {
		System.out.println("Usage: ");
		System.out.println("java -class mate.jar is2.parser.Parser [Options]");
		System.out.println();
		System.out.println("Example: ");
		System.out.println(
				" java -class mate.jar is2.parser.Parser -model eps3.model -train corpora/conll08st/train/train.closed -test corpora/conll08st/devel/devel.closed  -out b3.test -eval corpora/conll08st/devel/devel.closed  -count 2000 -i 6");
		System.out.println("");
		System.out.println("Options:");
		System.out.println("");
		System.out.println(" -train  <file>    the corpus a model is trained on; default " + this.trainfile);
		System.out.println(" -test   <file>    the input corpus for testing; default " + this.testfile);
		System.out.println(" -out    <file>    the output corpus (result) of a test run; default " + this.outfile);
		System.out.println(" -model  <file>    the parsing model for traing the model is stored in the files");
		System.out.println(
				"                   and for parsing the model is load from this file; default " + this.modelName);
		System.out.println(
				" -i      <number>  the number of training iterations; good numbers are 10 for smaller corpora and 6 for bigger; default "
						+ this.numIters);
		System.out.println(" -count  <number>  the n first sentences of the corpus are take for the training default "
				+ this.count);
		System.out.println(" -format <number>  conll format of the year 8 or 9; default " + this.formatTask);
		System.exit(0);
	}
}