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Stanford Parser processes raw text in English, Chinese, German, Arabic, and French, and extracts constituency parse trees.

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package edu.stanford.nlp.parser.metrics; 
import edu.stanford.nlp.util.logging.Redwood;

import java.io.PrintWriter;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Set;

import edu.stanford.nlp.international.Language;
import edu.stanford.nlp.ling.Label;
import edu.stanford.nlp.ling.SentenceUtils;
import edu.stanford.nlp.parser.lexparser.EnglishTreebankParserParams;
import edu.stanford.nlp.parser.lexparser.TreebankLangParserParams;
import edu.stanford.nlp.trees.Dependency;
import edu.stanford.nlp.trees.HeadFinder;
import edu.stanford.nlp.trees.Tree;
import edu.stanford.nlp.trees.TreeTransformer;
import edu.stanford.nlp.trees.Treebank;
import java.util.function.Predicate;
import edu.stanford.nlp.util.Filters;
import edu.stanford.nlp.util.Generics;
import edu.stanford.nlp.util.StringUtils;

/**
 *  Dependency unlabeled attachment score.
 *  

* If Collinization has not been performed prior to evaluation, then * it is customary (for reporting results) to pass in a filter that rejects * dependencies with punctuation dependents. * * @author Spence Green * */ public class UnlabeledAttachmentEval extends AbstractEval { /** A logger for this class */ private static Redwood.RedwoodChannels log = Redwood.channels(UnlabeledAttachmentEval.class); private final HeadFinder headFinder; private final Predicate punctRejectWordFilter; private final Predicate> punctRejectFilter; /** * @param headFinder If a headFinder is provided, then head percolation will be done * for trees. Otherwise, it must be called separately. */ public UnlabeledAttachmentEval(String str, boolean runningAverages, HeadFinder headFinder) { this(str, runningAverages, headFinder, Filters.acceptFilter()); } public UnlabeledAttachmentEval(String str, boolean runningAverages, HeadFinder headFinder, Predicate punctRejectFilter) { super(str, runningAverages); this.headFinder = headFinder; this.punctRejectWordFilter = punctRejectFilter; this.punctRejectFilter = new Predicate>() { private static final long serialVersionUID = 649358302237611081L; // Semantics of this method are weird. If accept() returns true, then the dependent is // *not* a punctuation item. This filter thus accepts everything except punctuation // dependencies. public boolean test(Dependency dep) { String depString = dep.dependent().value(); return punctRejectWordFilter.test(depString); } }; } @Override public void evaluate(Tree guess, Tree gold, PrintWriter pw) { if(gold == null || guess == null) { System.err.printf("%s: Cannot compare against a null gold or guess tree!\n", this.getClass().getName()); return; } else if (guess.yield().size() != gold.yield().size()) { log.info("Warning: yield differs:"); log.info("Guess: " + SentenceUtils.listToString(guess.yield())); log.info("Gold: " + SentenceUtils.listToString(gold.yield())); } super.evaluate(guess, gold, pw); } /** * Build the set of dependencies for evaluation. This set excludes * all dependencies for which the argument is a punctuation tag. */ @Override protected Set makeObjects(Tree tree) { if (tree == null) { log.info("Warning: null tree"); return Generics.newHashSet(); } if (headFinder != null) { tree.percolateHeads(headFinder); } Set> deps = tree.dependencies(punctRejectFilter); return deps; } private static final int minArgs = 2; private static final StringBuilder usage = new StringBuilder(); static { usage.append(String.format("Usage: java %s [OPTS] gold guess\n\n", UnlabeledAttachmentEval.class.getName())); usage.append("Options:\n"); usage.append(" -v : Verbose mode.\n"); usage.append(" -l lang : Select language settings from ").append(Language.langList).append('\n'); usage.append(" -y num : Skip gold trees with yields longer than num.\n"); usage.append(" -e : Input encoding.\n"); } public static final Map optionArgDefs = Generics.newHashMap(); static { optionArgDefs.put("-v", 0); optionArgDefs.put("-l", 1); optionArgDefs.put("-y", 1); optionArgDefs.put("-e", 0); } /** * Run the Evalb scoring metric on guess/gold input. The default language is English. * * @param args */ public static void main(String[] args) { TreebankLangParserParams tlpp = new EnglishTreebankParserParams(); int maxGoldYield = Integer.MAX_VALUE; boolean VERBOSE = false; String encoding = "UTF-8"; String guessFile = null; String goldFile = null; Map argsMap = StringUtils.argsToMap(args, optionArgDefs); for(Map.Entry opt : argsMap.entrySet()) { if(opt.getKey() == null) continue; if(opt.getKey().equals("-l")) { Language lang = Language.valueOf(opt.getValue()[0].trim()); tlpp = lang.params; } else if(opt.getKey().equals("-y")) { maxGoldYield = Integer.parseInt(opt.getValue()[0].trim()); } else if(opt.getKey().equals("-v")) { VERBOSE = true; } else if(opt.getKey().equals("-e")) { encoding = opt.getValue()[0]; } else { log.info(usage.toString()); System.exit(-1); } //Non-option arguments located at key null String[] rest = argsMap.get(null); if(rest == null || rest.length < minArgs) { log.info(usage.toString()); System.exit(-1); } goldFile = rest[0]; guessFile = rest[1]; } 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); pwOut.println("GOLD TREEBANK:"); pwOut.println(goldTreebank.textualSummary()); final UnlabeledAttachmentEval metric = new UnlabeledAttachmentEval("UAS LP/LR", true, tlpp.headFinder()); final TreeTransformer tc = tlpp.collinizer(); //The evalb ref implementation assigns status for each tree pair as follows: // // 0 - Ok (yields match) // 1 - length mismatch // 2 - null parse e.g. (()). // //In the cases of 1,2, evalb does not include the tree pair in the LP/LR computation. final Iterator goldItr = goldTreebank.iterator(); final Iterator guessItr = guessTreebank.iterator(); int goldLineId = 0; int guessLineId = 0; int skippedGuessTrees = 0; while( guessItr.hasNext() && goldItr.hasNext() ) { Tree guessTree = guessItr.next(); List





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