Options.java
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package is2.parserR2;
import is2.util.OptionsSuper;
public final class Options extends OptionsSuper {
int start=0, end=0;
String prefix_model ="m";
String prefix_test ="t";
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("-best")) {
best= Integer.parseInt(args[i+1]); i++;
} else if (args[i].equals("-start")) {
start= Integer.parseInt(args[i+1]); i++;
} else if (args[i].equals("-end")) {
end= Integer.parseInt(args[i+1]); i++;
} else if (args[i].equals("-prefix-model")) {
prefix_model= args[i+1]; i++;
} else if (args[i].equals("-prefix-test")) {
prefix_test= args[i+1]; i++;
} else if (args[i].equals("-mapping")) {
this.useMapping= 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);
}
}