private static double testParser(Parser parser, List<Tree<String>> testTrees) {
EnglishPennTreebankParseEvaluator.LabeledConstituentEval<String> eval =
new EnglishPennTreebankParseEvaluator.LabeledConstituentEval<String>(
Collections.singleton("ROOT"),
new HashSet<String>(Arrays.asList(new String[] {"''", "``", ".", ":", ","})));
for (Tree<String> testTree : testTrees) {
List<String> testSentence = testTree.getYield();
if (testSentence.size() > MAX_LENGTH) continue;
Tree<String> guessedTree = parser.getBestParse(testSentence);
System.out.println("Guess:\n" + Trees.PennTreeRenderer.render(guessedTree));
System.out.println("Gold:\n" + Trees.PennTreeRenderer.render(testTree));
eval.evaluate(guessedTree, testTree);
}
System.out.println();
return eval.display(true);
}
public static void main(String[] args) {
// set up default options ..............................................
Map<String, String> options = new HashMap<String, String>();
options.put("--path", "../data/parser/");
options.put("--data", "masc");
options.put("--parser", "nlpclass.assignments.PCFGParserTester$BaselineParser");
options.put("--maxLength", "20");
// let command-line options supersede defaults .........................
options.putAll(CommandLineUtils.simpleCommandLineParser(args));
System.out.println("PCFGParserTester options:");
for (Map.Entry<String, String> entry : options.entrySet()) {
System.out.printf(" %-12s: %s%n", entry.getKey(), entry.getValue());
}
System.out.println();
MAX_LENGTH = Integer.parseInt(options.get("--maxLength"));
Parser parser;
try {
Class parserClass = Class.forName(options.get("--parser"));
parser = (Parser) parserClass.newInstance();
} catch (Exception e) {
throw new RuntimeException(e);
}
System.out.println("Using parser: " + parser);
String basePath = options.get("--path");
String preBasePath = basePath;
String dataSet = options.get("--data");
if (!basePath.endsWith("/")) {
basePath += "/";
}
// basePath += dataSet;
System.out.println("Data will be loaded from: " + basePath + "\n");
List<Tree<String>> trainTrees = new ArrayList<Tree<String>>();
List<Tree<String>> validationTrees = new ArrayList<Tree<String>>();
List<Tree<String>> testTrees = new ArrayList<Tree<String>>();
if (dataSet.equals("miniTest")) {
// training data: first 3 of 4 datums
basePath += "parser/" + dataSet;
System.out.println("Loading training trees...");
trainTrees = readTrees(basePath, 1, 3);
System.out.println("done.");
// test data: last of 4 datums
System.out.println("Loading test trees...");
testTrees = readTrees(basePath, 4, 4);
System.out.println("done.");
} else if (dataSet.equals("masc")) {
basePath += "parser/";
// training data: MASC train
System.out.println("Loading MASC training trees... from: " + basePath + "masc/train");
trainTrees.addAll(readMASCTrees(basePath + "masc/train", 0, 38));
System.out.println("done.");
System.out.println("Train trees size: " + trainTrees.size());
System.out.println("First train tree: " + Trees.PennTreeRenderer.render(trainTrees.get(0)));
System.out.println(
"Last train tree: "
+ Trees.PennTreeRenderer.render(trainTrees.get(trainTrees.size() - 1)));
// test data: MASC devtest
System.out.println("Loading MASC test trees...");
testTrees.addAll(readMASCTrees(basePath + "masc/devtest", 0, 11));
// testTrees.addAll(readMASCTrees(basePath+"masc/blindtest", 0, 8));
System.out.println("Test trees size: " + testTrees.size());
System.out.println("done.");
System.out.println("First test tree: " + Trees.PennTreeRenderer.render(testTrees.get(0)));
System.out.println(
"Last test tree: " + Trees.PennTreeRenderer.render(testTrees.get(testTrees.size() - 1)));
} else if (!dataSet.equals("miniTest") && !dataSet.equals("masc")) {
throw new RuntimeException("Bad data set: " + dataSet + ": use miniTest or masc.");
}
System.out.println("\nTraining parser...");
parser.train(trainTrees);
System.out.println("\nTesting parser...");
testParser(parser, testTrees);
}
