private FSArray addTreebankNodeChildrenToIndexes(
TreebankNode parent, JCas jCas, List<CoreLabel> tokenAnns, Tree tree) {
Tree[] childTrees = tree.children();
// collect all children (except leaves, which are just the words - POS tags are pre-terminals in
// a Stanford tree)
List<TreebankNode> childNodes = new ArrayList<TreebankNode>();
for (Tree child : childTrees) {
if (!child.isLeaf()) {
// set node attributes and add children (mutual recursion)
TreebankNode node = new TreebankNode(jCas);
node.setParent(parent);
this.addTreebankNodeToIndexes(node, jCas, child, tokenAnns);
childNodes.add(node);
}
}
// convert the child list into an FSArray
FSArray childNodeArray = new FSArray(jCas, childNodes.size());
for (int i = 0; i < childNodes.size(); ++i) {
childNodeArray.set(i, childNodes.get(i));
}
return childNodeArray;
}
public Tree transformTree(Tree tree) {
Label lab = tree.label();
if (tree.isLeaf()) {
Tree leaf = tf.newLeaf(lab);
leaf.setScore(tree.score());
return leaf;
}
String s = lab.value();
s = treebankLanguagePack().basicCategory(s);
int numKids = tree.numChildren();
List<Tree> children = new ArrayList<Tree>(numKids);
for (int cNum = 0; cNum < numKids; cNum++) {
Tree child = tree.getChild(cNum);
Tree newChild = transformTree(child);
// cdm 2007: for just subcategory stripping, null shouldn't happen
// if (newChild != null) {
children.add(newChild);
// }
}
// if (children.isEmpty()) {
// return null;
// }
CategoryWordTag newLabel = new CategoryWordTag(lab);
newLabel.setCategory(s);
if (lab instanceof HasTag) {
String tag = ((HasTag) lab).tag();
tag = treebankLanguagePack().basicCategory(tag);
newLabel.setTag(tag);
}
Tree node = tf.newTreeNode(newLabel, children);
node.setScore(tree.score());
return node;
}
public Tree transformTree(Tree tree) {
Label lab = tree.label();
if (tree.isLeaf()) {
Tree leaf = tf.newLeaf(lab);
leaf.setScore(tree.score());
return leaf;
}
String s = lab.value();
s = treebankLanguagePack().basicCategory(s);
s = treebankLanguagePack().stripGF(s);
int numKids = tree.numChildren();
List<Tree> children = new ArrayList<Tree>(numKids);
for (int cNum = 0; cNum < numKids; cNum++) {
Tree child = tree.getChild(cNum);
Tree newChild = transformTree(child);
children.add(newChild);
}
CategoryWordTag newLabel = new CategoryWordTag(lab);
newLabel.setCategory(s);
if (lab instanceof HasTag) {
String tag = ((HasTag) lab).tag();
tag = treebankLanguagePack().basicCategory(tag);
tag = treebankLanguagePack().stripGF(tag);
newLabel.setTag(tag);
}
Tree node = tf.newTreeNode(newLabel, children);
node.setScore(tree.score());
return node;
}
/**
* 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) {
Set<Dependency<Label, Label, Object>> deps = new HashSet<Dependency<Label, Label, Object>>();
for (Tree node : tree.subTreeList()) {
if (DEBUG) EncodingPrintWriter.err.println("Considering " + node.label());
// every child with a different head is an argument, as are ones with
// the same head after the first one found
if (node.isLeaf() || node.children().length < 2) {
continue;
}
// System.err.println("XXX node is " + node + "; label type is " +
// node.label().getClass().getName());
String head = ((HasWord) node.label()).word();
boolean seenHead = false;
for (int cNum = 0; cNum < node.children().length; cNum++) {
Tree child = node.children()[cNum];
String arg = ((HasWord) child.label()).word();
if (DEBUG) EncodingPrintWriter.err.println("Considering " + head + " --> " + arg);
if (head.equals(arg) && !seenHead) {
seenHead = true;
if (DEBUG) EncodingPrintWriter.err.println(" ... is head");
} else if (!punctFilter.accept(arg)) {
deps.add(new UnnamedDependency(head, arg));
if (DEBUG) EncodingPrintWriter.err.println(" ... added");
} else if (DEBUG) {
if (DEBUG) EncodingPrintWriter.err.println(" ... is punct dep");
}
}
}
if (DEBUG) {
EncodingPrintWriter.err.println("Deps: " + deps);
}
return deps;
}
Tree prune(Tree tree, int start) {
if (tree.isLeaf() || tree.isPreTerminal()) {
return tree;
}
// check each node's children for deletion
List<Tree> children = helper(tree.getChildrenAsList(), start);
children = prune(children, tree.label(), start, start + tree.yield().size());
return tree.treeFactory().newTreeNode(tree.label(), children);
}
List<Tree> prune(List<Tree> treeList, Label label, int start, int end) {
// get reference tree
if (treeList.size() == 1) {
return treeList;
}
Tree testTree = treeList.get(0).treeFactory().newTreeNode(label, treeList);
int goal = Numberer.getGlobalNumberer("states").number(label.value());
Tree tempTree = parser.extractBestParse(goal, start, end);
// parser.restoreUnaries(tempTree);
Tree pcfgTree = debinarizer.transformTree(tempTree);
Set<Constituent> pcfgConstituents =
pcfgTree.constituents(new LabeledScoredConstituentFactory());
// delete child labels that are not in reference but do not cross reference
List<Tree> prunedChildren = new ArrayList<Tree>();
int childStart = 0;
for (int c = 0, numCh = testTree.numChildren(); c < numCh; c++) {
Tree child = testTree.getChild(c);
boolean isExtra = true;
int childEnd = childStart + child.yield().size();
Constituent childConstituent =
new LabeledScoredConstituent(childStart, childEnd, child.label(), 0);
if (pcfgConstituents.contains(childConstituent)) {
isExtra = false;
}
if (childConstituent.crosses(pcfgConstituents)) {
isExtra = false;
}
if (child.isLeaf() || child.isPreTerminal()) {
isExtra = false;
}
if (pcfgTree.yield().size() != testTree.yield().size()) {
isExtra = false;
}
if (!label.value().startsWith("NP^NP")) {
isExtra = false;
}
if (isExtra) {
System.err.println(
"Pruning: "
+ child.label()
+ " from "
+ (childStart + start)
+ " to "
+ (childEnd + start));
System.err.println("Was: " + testTree + " vs " + pcfgTree);
prunedChildren.addAll(child.getChildrenAsList());
} else {
prunedChildren.add(child);
}
childStart = childEnd;
}
return prunedChildren;
}
private static int reIndexLeaves(Tree t, int startIndex) {
if (t.isLeaf()) {
CoreLabel afl = (CoreLabel) t.label();
afl.setIndex(startIndex);
startIndex++;
} else {
for (Tree child : t.children()) {
startIndex = reIndexLeaves(child, startIndex);
}
}
return startIndex;
}
/**
* Sets the labels on the tree to be the indices of the nodes. Starts counting at the root and
* does a postorder traversal.
*/
static int setIndexLabels(Tree tree, int index) {
if (tree.isLeaf()) {
return index;
}
tree.label().setValue(Integer.toString(index));
index++;
for (Tree child : tree.children()) {
index = setIndexLabels(child, index);
}
return index;
}
private static <E> void dependencyObjectifyHelper(
Tree t, Tree root, HeadFinder hf, Collection<E> c, DependencyTyper<E> typer) {
if (t.isLeaf() || t.isPreTerminal()) {
return;
}
Tree headDtr = hf.determineHead(t);
for (Tree child : t.children()) {
dependencyObjectifyHelper(child, root, hf, c, typer);
if (child != headDtr) {
c.add(typer.makeDependency(headDtr, child, root));
}
}
}
protected static String localize(Tree tree) {
if (tree.isLeaf()) {
return "";
}
StringBuilder sb = new StringBuilder();
sb.append(tree.label());
sb.append(" ->");
for (int i = 0; i < tree.children().length; i++) {
sb.append(' ');
sb.append(tree.children()[i].label());
}
return sb.toString();
}
/**
* Sets the labels on the tree (except the leaves) to be the integer value of the sentiment
* prediction. Makes it easy to print out with Tree.toString()
*/
static void setSentimentLabels(Tree tree) {
if (tree.isLeaf()) {
return;
}
for (Tree child : tree.children()) {
setSentimentLabels(child);
}
Label label = tree.label();
if (!(label instanceof CoreLabel)) {
throw new IllegalArgumentException("Required a tree with CoreLabels");
}
CoreLabel cl = (CoreLabel) label;
cl.setValue(Integer.toString(RNNCoreAnnotations.getPredictedClass(tree)));
}
/** Outputs the scores from the tree. Counts the tree nodes the same as setIndexLabels. */
static int outputTreeScores(PrintStream out, Tree tree, int index) {
if (tree.isLeaf()) {
return index;
}
out.print(" " + index + ":");
SimpleMatrix vector = RNNCoreAnnotations.getPredictions(tree);
for (int i = 0; i < vector.getNumElements(); ++i) {
out.print(" " + NF.format(vector.get(i)));
}
out.println();
index++;
for (Tree child : tree.children()) {
index = outputTreeScores(out, child, index);
}
return index;
}
/**
* Takes a Tree and a collinizer and returns a Collection of {@link Constituent}s for PARSEVAL
* evaluation. Some notes on this particular parseval:
*
* <ul>
* <li>It is character-based, which allows it to be used on segmentation/parsing combination
* evaluation.
* <li>whether it gives you labeled or unlabeled bracketings depends on the value of the <code>
* labelConstituents</code> parameter
* </ul>
*
* (Note that I haven't checked this rigorously yet with the PARSEVAL definition -- Roger.)
*/
public static Collection<Constituent> parsevalObjectify(
Tree t, TreeTransformer collinizer, boolean labelConstituents) {
Collection<Constituent> spans = new ArrayList<Constituent>();
Tree t1 = collinizer.transformTree(t);
if (t1 == null) {
return spans;
}
for (Tree node : t1) {
if (node.isLeaf() || node.isPreTerminal() || (node != t1 && node.parent(t1) == null)) {
continue;
}
int leftEdge = t1.leftCharEdge(node);
int rightEdge = t1.rightCharEdge(node);
if (labelConstituents) spans.add(new LabeledConstituent(leftEdge, rightEdge, node.label()));
else spans.add(new SimpleConstituent(leftEdge, rightEdge));
}
return spans;
}
protected static void updateTreeLabels(
Tree root, Tree tree, MutableInteger offset, MutableInteger leafIndex) {
if (tree.isLeaf()) {
leafIndex.value++;
return;
}
String labelValue = tree.label().value().toUpperCase();
int begin = root.leftCharEdge(tree);
int end = root.rightCharEdge(tree);
// System.out.println(labelValue+"("+begin+","+end+")");
int length = end - begin;
// apply offset to begin extent
begin += offset.value;
// calculate offset delta based on label
if (double_quote_lable_pattern.matcher(labelValue).matches() && length > 1) {
offset.value--;
log.debug("Quotes label pattern fired: " + offset);
} else if (bracket_label_pattern.matcher(labelValue).matches()) {
offset.value -= 4;
log.debug("Bracket label pattern fired: " + offset);
} else if (tree.isPreTerminal()) {
Tree leaf = tree.firstChild();
String text = leaf.label().value();
Matcher matcher = escaped_char_pattern.matcher(text);
while (matcher.find()) {
offset.value--;
}
}
for (Tree child : tree.children()) updateTreeLabels(root, child, offset, leafIndex);
// apply offset to end extent
end += offset.value;
// set begin and end offsets on node
MapLabel label = new MapLabel(tree.label());
label.put(BEGIN_KEY, begin);
label.put(END_KEY, end);
label.put(MapLabel.INDEX_KEY, leafIndex.value);
tree.setLabel(label);
}
protected void tallyTree(Tree t, LinkedList<String> parents) {
// traverse tree, building parent list
String str = t.label().value();
boolean strIsPassive = (str.indexOf('@') == -1);
if (strIsPassive) {
parents.addFirst(str);
}
if (!t.isLeaf()) {
if (!t.children()[0].isLeaf()) {
tallyInternalNode(t, parents);
for (int c = 0; c < t.children().length; c++) {
Tree child = t.children()[c];
tallyTree(child, parents);
}
} else {
tagNumberer.number(t.label().value());
}
}
if (strIsPassive) {
parents.removeFirst();
}
}
/** @param args */
public static void main(String[] args) {
if (args.length != 3) {
System.err.printf(
"Usage: java %s language filename features%n",
TreebankFactoredLexiconStats.class.getName());
System.exit(-1);
}
Language language = Language.valueOf(args[0]);
TreebankLangParserParams tlpp = language.params;
if (language.equals(Language.Arabic)) {
String[] options = {"-arabicFactored"};
tlpp.setOptionFlag(options, 0);
} 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(",");
for (String feature : features) {
morphoSpec.activate(MorphoFeatureType.valueOf(feature));
}
// Counters
Counter<String> wordTagCounter = new ClassicCounter<>(30000);
Counter<String> morphTagCounter = new ClassicCounter<>(500);
// Counter<String> signatureTagCounter = new ClassicCounter<String>();
Counter<String> morphCounter = new ClassicCounter<>(500);
Counter<String> wordCounter = new ClassicCounter<>(30000);
Counter<String> tagCounter = new ClassicCounter<>(300);
Counter<String> lemmaCounter = new ClassicCounter<>(25000);
Counter<String> lemmaTagCounter = new ClassicCounter<>(25000);
Counter<String> richTagCounter = new ClassicCounter<>(1000);
Counter<String> reducedTagCounter = new ClassicCounter<>(500);
Counter<String> reducedTagLemmaCounter = new ClassicCounter<>(500);
Map<String, Set<String>> wordLemmaMap = Generics.newHashMap();
TwoDimensionalIntCounter<String, String> lemmaReducedTagCounter =
new TwoDimensionalIntCounter<>(30000);
TwoDimensionalIntCounter<String, String> reducedTagTagCounter =
new TwoDimensionalIntCounter<>(500);
TwoDimensionalIntCounter<String, String> tagReducedTagCounter =
new TwoDimensionalIntCounter<>(300);
int numTrees = 0;
for (Tree tree : tb) {
for (Tree subTree : tree) {
if (!subTree.isLeaf()) {
tlpp.transformTree(subTree, tree);
}
}
List<Label> pretermList = tree.preTerminalYield();
List<Label> yield = tree.yield();
assert yield.size() == pretermList.size();
int yieldLen = yield.size();
for (int i = 0; i < yieldLen; ++i) {
String tag = pretermList.get(i).value();
String word = yield.get(i).value();
String morph = ((CoreLabel) yield.get(i)).originalText();
// Note: if there is no lemma, then we use the surface form.
Pair<String, String> lemmaTag = MorphoFeatureSpecification.splitMorphString(word, morph);
String lemma = lemmaTag.first();
String richTag = lemmaTag.second();
// WSGDEBUG
if (tag.contains("MW")) lemma += "-MWE";
lemmaCounter.incrementCount(lemma);
lemmaTagCounter.incrementCount(lemma + tag);
richTagCounter.incrementCount(richTag);
String reducedTag = morphoSpec.strToFeatures(richTag).toString();
reducedTagCounter.incrementCount(reducedTag);
reducedTagLemmaCounter.incrementCount(reducedTag + lemma);
wordTagCounter.incrementCount(word + tag);
morphTagCounter.incrementCount(morph + tag);
morphCounter.incrementCount(morph);
wordCounter.incrementCount(word);
tagCounter.incrementCount(tag);
reducedTag = reducedTag.equals("") ? "NONE" : reducedTag;
if (wordLemmaMap.containsKey(word)) {
wordLemmaMap.get(word).add(lemma);
} else {
Set<String> lemmas = Generics.newHashSet(1);
wordLemmaMap.put(word, lemmas);
}
lemmaReducedTagCounter.incrementCount(lemma, reducedTag);
reducedTagTagCounter.incrementCount(lemma + reducedTag, tag);
tagReducedTagCounter.incrementCount(tag, reducedTag);
}
++numTrees;
}
// Barf...
System.out.println("Language: " + language.toString());
System.out.printf("#trees:\t%d%n", numTrees);
System.out.printf("#tokens:\t%d%n", (int) wordCounter.totalCount());
System.out.printf("#words:\t%d%n", wordCounter.keySet().size());
System.out.printf("#tags:\t%d%n", tagCounter.keySet().size());
System.out.printf("#wordTagPairs:\t%d%n", wordTagCounter.keySet().size());
System.out.printf("#lemmas:\t%d%n", lemmaCounter.keySet().size());
System.out.printf("#lemmaTagPairs:\t%d%n", lemmaTagCounter.keySet().size());
System.out.printf("#feattags:\t%d%n", reducedTagCounter.keySet().size());
System.out.printf("#feattag+lemmas:\t%d%n", reducedTagLemmaCounter.keySet().size());
System.out.printf("#richtags:\t%d%n", richTagCounter.keySet().size());
System.out.printf("#richtag+lemma:\t%d%n", morphCounter.keySet().size());
System.out.printf("#richtag+lemmaTagPairs:\t%d%n", morphTagCounter.keySet().size());
// Extra
System.out.println("==================");
StringBuilder sbNoLemma = new StringBuilder();
StringBuilder sbMultLemmas = new StringBuilder();
for (Map.Entry<String, Set<String>> wordLemmas : wordLemmaMap.entrySet()) {
String word = wordLemmas.getKey();
Set<String> lemmas = wordLemmas.getValue();
if (lemmas.size() == 0) {
sbNoLemma.append("NO LEMMAS FOR WORD: " + word + "\n");
continue;
}
if (lemmas.size() > 1) {
sbMultLemmas.append("MULTIPLE LEMMAS: " + word + " " + setToString(lemmas) + "\n");
continue;
}
String lemma = lemmas.iterator().next();
Set<String> reducedTags = lemmaReducedTagCounter.getCounter(lemma).keySet();
if (reducedTags.size() > 1) {
System.out.printf("%s --> %s%n", word, lemma);
for (String reducedTag : reducedTags) {
int count = lemmaReducedTagCounter.getCount(lemma, reducedTag);
String posTags =
setToString(reducedTagTagCounter.getCounter(lemma + reducedTag).keySet());
System.out.printf("\t%s\t%d\t%s%n", reducedTag, count, posTags);
}
System.out.println();
}
}
System.out.println("==================");
System.out.println(sbNoLemma.toString());
System.out.println(sbMultLemmas.toString());
System.out.println("==================");
List<String> tags = new ArrayList<>(tagReducedTagCounter.firstKeySet());
Collections.sort(tags);
for (String tag : tags) {
System.out.println(tag);
Set<String> reducedTags = tagReducedTagCounter.getCounter(tag).keySet();
for (String reducedTag : reducedTags) {
int count = tagReducedTagCounter.getCount(tag, reducedTag);
// reducedTag = reducedTag.equals("") ? "NONE" : reducedTag;
System.out.printf("\t%s\t%d%n", reducedTag, count);
}
System.out.println();
}
System.out.println("==================");
}
/**
* Maps Tree node offsets using provided mapping.
*
* @param tree the Tree whose begin and end extents should be mapped.
* @param mapping the list of RangeMap objects which defines the mapping.
*/
protected static void mapOffsets(Tree tree, List<RangeMap> mapping) {
// if mapping is empty, then assume 1-to-1 mapping.
if (mapping == null || mapping.size() == 0) return;
int begin_map_index = 0;
RangeMap begin_rmap = mapping.get(begin_map_index);
TREE:
for (Tree t : tree) {
if (t.isLeaf()) continue;
MapLabel label = (MapLabel) t.label();
int begin = (Integer) label.get(BEGIN_KEY);
// "end" must be index of last char in range
int end = (Integer) label.get(END_KEY) - 1;
// find the first rangemap whose end is greater than the
// beginning of current annotation.
// log.debug("Finding RangeMap whose extents include
// annotation.begin");
while (begin_rmap.end <= begin) {
begin_map_index++;
if (begin_map_index >= mapping.size()) break TREE;
begin_rmap = mapping.get(begin_map_index);
}
// if beginning of current rangemap is greater than end of
// current annotation, then skip this annotation (default
// mapping is 1-to-1).
if (begin_rmap.begin > end) {
// log.debug("Skipping annotation (assuming 1-to-1 offset
// mapping)");
continue;
}
// if beginning of current annotation falls within current range
// map, then map it back to source space.
int new_begin = begin;
if (begin_rmap.begin <= new_begin) {
// log.debug("Applying RangeMap to begin offset");
new_begin = begin_rmap.map(new_begin);
}
// find the first rangemap whose end is greater than the end of
// current annotation.
// log.debug("Finding RangeMap whose extents include
// annotation.end");
int end_map_index = begin_map_index;
RangeMap end_rmap = begin_rmap;
END_OFFSET:
while (end_rmap.end <= end) {
end_map_index++;
if (end_map_index >= mapping.size()) break END_OFFSET;
end_rmap = mapping.get(end_map_index);
}
// if end of current annotation falls within "end" range map,
// then map it back to source space.
int new_end = end;
if (end_rmap.begin <= end) {
// log.debug("Applying RangeMap to end offset");
new_end = end_rmap.map(end);
}
label.put(BEGIN_KEY, new_begin);
label.put(END_KEY, new_end + 1);
}
}
/**
* transformTree does all language-specific tree transformations. Any parameterizations should be
* inside the specific TreebankLangParserParams class.
*/
@Override
public Tree transformTree(Tree t, Tree root) {
if (t == null || t.isLeaf()) {
return t;
}
String parentStr;
String grandParentStr;
Tree parent;
Tree grandParent;
if (root == null || t.equals(root)) {
parent = null;
parentStr = "";
} else {
parent = t.parent(root);
parentStr = parent.label().value();
}
if (parent == null || parent.equals(root)) {
grandParent = null;
grandParentStr = "";
} else {
grandParent = parent.parent(root);
grandParentStr = grandParent.label().value();
}
String baseParentStr = ctlp.basicCategory(parentStr);
String baseGrandParentStr = ctlp.basicCategory(grandParentStr);
CoreLabel lab = (CoreLabel) t.label();
String word = lab.word();
String tag = lab.tag();
String baseTag = ctlp.basicCategory(tag);
String category = lab.value();
String baseCategory = ctlp.basicCategory(category);
if (t.isPreTerminal()) { // it's a POS tag
List<String> leftAunts =
listBasicCategories(SisterAnnotationStats.leftSisterLabels(parent, grandParent));
List<String> rightAunts =
listBasicCategories(SisterAnnotationStats.rightSisterLabels(parent, grandParent));
// Chinese-specific punctuation splits
if (chineseSplitPunct && baseTag.equals("PU")) {
if (ChineseTreebankLanguagePack.chineseDouHaoAcceptFilter().accept(word)) {
tag = tag + "-DOU";
// System.out.println("Punct: Split dou hao"); // debugging
} else if (ChineseTreebankLanguagePack.chineseCommaAcceptFilter().accept(word)) {
tag = tag + "-COMMA";
// System.out.println("Punct: Split comma"); // debugging
} else if (ChineseTreebankLanguagePack.chineseColonAcceptFilter().accept(word)) {
tag = tag + "-COLON";
// System.out.println("Punct: Split colon"); // debugging
} else if (ChineseTreebankLanguagePack.chineseQuoteMarkAcceptFilter().accept(word)) {
if (chineseSplitPunctLR) {
if (ChineseTreebankLanguagePack.chineseLeftQuoteMarkAcceptFilter().accept(word)) {
tag += "-LQUOTE";
} else {
tag += "-RQUOTE";
}
} else {
tag = tag + "-QUOTE";
}
// System.out.println("Punct: Split quote"); // debugging
} else if (ChineseTreebankLanguagePack.chineseEndSentenceAcceptFilter().accept(word)) {
tag = tag + "-ENDSENT";
// System.out.println("Punct: Split end sent"); // debugging
} else if (ChineseTreebankLanguagePack.chineseParenthesisAcceptFilter().accept(word)) {
if (chineseSplitPunctLR) {
if (ChineseTreebankLanguagePack.chineseLeftParenthesisAcceptFilter().accept(word)) {
tag += "-LPAREN";
} else {
tag += "-RPAREN";
}
} else {
tag += "-PAREN";
// printlnErr("Just used -PAREN annotation");
// printlnErr(word);
// throw new RuntimeException();
}
// System.out.println("Punct: Split paren"); // debugging
} else if (ChineseTreebankLanguagePack.chineseDashAcceptFilter().accept(word)) {
tag = tag + "-DASH";
// System.out.println("Punct: Split dash"); // debugging
} else if (ChineseTreebankLanguagePack.chineseOtherAcceptFilter().accept(word)) {
tag = tag + "-OTHER";
} else {
printlnErr("Unknown punct (you should add it to CTLP): " + tag + " |" + word + "|");
}
} else if (chineseSplitDouHao) { // only split DouHao
if (ChineseTreebankLanguagePack.chineseDouHaoAcceptFilter().accept(word)
&& baseTag.equals("PU")) {
tag = tag + "-DOU";
}
}
// Chinese-specific POS tag splits (non-punctuation)
if (tagWordSize) {
int l = word.length();
tag += "-" + l + "CHARS";
}
if (mergeNNVV && baseTag.equals("NN")) {
tag = "VV";
}
if ((chineseSelectiveTagPA || chineseVerySelectiveTagPA)
&& (baseTag.equals("CC") || baseTag.equals("P"))) {
tag += "-" + baseParentStr;
}
if (chineseSelectiveTagPA && (baseTag.equals("VV"))) {
tag += "-" + baseParentStr;
}
if (markMultiNtag && tag.startsWith("N")) {
for (int i = 0; i < parent.numChildren(); i++) {
if (parent.children()[i].label().value().startsWith("N") && parent.children()[i] != t) {
tag += "=N";
// System.out.println("Found multi=N rewrite");
}
}
}
if (markVVsisterIP && baseTag.equals("VV")) {
boolean seenIP = false;
for (int i = 0; i < parent.numChildren(); i++) {
if (parent.children()[i].label().value().startsWith("IP")) {
seenIP = true;
}
}
if (seenIP) {
tag += "-IP";
// System.out.println("Found VV with IP sister"); // testing
}
}
if (markPsisterIP && baseTag.equals("P")) {
boolean seenIP = false;
for (int i = 0; i < parent.numChildren(); i++) {
if (parent.children()[i].label().value().startsWith("IP")) {
seenIP = true;
}
}
if (seenIP) {
tag += "-IP";
}
}
if (markADgrandchildOfIP && baseTag.equals("AD") && baseGrandParentStr.equals("IP")) {
tag += "~IP";
// System.out.println("Found AD with IP grandparent"); // testing
}
if (gpaAD && baseTag.equals("AD")) {
tag += "~" + baseGrandParentStr;
// System.out.println("Found AD with grandparent " + grandParentStr); // testing
}
if (markPostverbalP && leftAunts.contains("VV") && baseTag.equals("P")) {
// System.out.println("Found post-verbal P");
tag += "^=lVV";
}
// end Chinese-specific tag splits
Label label = new CategoryWordTag(tag, word, tag);
t.setLabel(label);
} else {
// it's a phrasal category
Tree[] kids = t.children();
// Chinese-specific category splits
List<String> leftSis = listBasicCategories(SisterAnnotationStats.leftSisterLabels(t, parent));
List<String> rightSis =
listBasicCategories(SisterAnnotationStats.rightSisterLabels(t, parent));
if (paRootDtr && baseParentStr.equals("ROOT")) {
category += "^ROOT";
}
if (markIPsisterBA && baseCategory.equals("IP")) {
if (leftSis.contains("BA")) {
category += "=BA";
// System.out.println("Found IP sister of BA");
}
}
if (dominatesV && hasV(t.preTerminalYield())) {
// mark categories containing a verb
category += "-v";
}
if (markIPsisterVVorP && baseCategory.equals("IP")) {
// todo: cdm: is just looking for "P" here selective enough??
if (leftSis.contains("VV") || leftSis.contains("P")) {
category += "=VVP";
}
}
if (markIPsisDEC && baseCategory.equals("IP")) {
if (rightSis.contains("DEC")) {
category += "=DEC";
// System.out.println("Found prenominal IP");
}
}
if (baseCategory.equals("VP")) {
// cdm 2008: this used to just check that it startsWith("VP"), but
// I think that was bad because it also matched VPT verb compounds
if (chineseSplitVP == 3) {
boolean hasCC = false;
boolean hasPU = false;
boolean hasLexV = false;
for (Tree kid : kids) {
if (kid.label().value().startsWith("CC")) {
hasCC = true;
} else if (kid.label().value().startsWith("PU")) {
hasPU = true;
} else if (StringUtils.lookingAt(
kid.label().value(), "(V[ACEV]|VCD|VCP|VNV|VPT|VRD|VSB)")) {
hasLexV = true;
}
}
if (hasCC || (hasPU && !hasLexV)) {
category += "-CRD";
// System.out.println("Found coordinate VP"); // testing
} else if (hasLexV) {
category += "-COMP";
// System.out.println("Found complementing VP"); // testing
} else {
category += "-ADJT";
// System.out.println("Found adjoining VP"); // testing
}
} else if (chineseSplitVP >= 1) {
boolean hasBA = false;
for (Tree kid : kids) {
if (kid.label().value().startsWith("BA")) {
hasBA = true;
} else if (chineseSplitVP == 2 && tlp.basicCategory(kid.label().value()).equals("VP")) {
for (Tree kidkid : kid.children()) {
if (kidkid.label().value().startsWith("BA")) {
hasBA = true;
}
}
}
}
if (hasBA) {
category += "-BA";
}
}
}
if (markVPadjunct && baseParentStr.equals("VP")) {
// cdm 2008: This used to use startsWith("VP") but changed to baseCat
Tree[] sisters = parent.children();
boolean hasVPsister = false;
boolean hasCC = false;
boolean hasPU = false;
boolean hasLexV = false;
for (Tree sister : sisters) {
if (tlp.basicCategory(sister.label().value()).equals("VP")) {
hasVPsister = true;
}
if (sister.label().value().startsWith("CC")) {
hasCC = true;
}
if (sister.label().value().startsWith("PU")) {
hasPU = true;
}
if (StringUtils.lookingAt(sister.label().value(), "(V[ACEV]|VCD|VCP|VNV|VPT|VRD|VSB)")) {
hasLexV = true;
}
}
if (hasVPsister && !(hasCC || hasPU || hasLexV)) {
category += "-VPADJ";
// System.out.println("Found adjunct of VP"); // testing
}
}
if (markNPmodNP && baseCategory.equals("NP") && baseParentStr.equals("NP")) {
if (rightSis.contains("NP")) {
category += "=MODIFIERNP";
// System.out.println("Found NP modifier of NP"); // testing
}
}
if (markModifiedNP && baseCategory.equals("NP") && baseParentStr.equals("NP")) {
if (rightSis.isEmpty()
&& (leftSis.contains("ADJP")
|| leftSis.contains("NP")
|| leftSis.contains("DNP")
|| leftSis.contains("QP")
|| leftSis.contains("CP")
|| leftSis.contains("PP"))) {
category += "=MODIFIEDNP";
// System.out.println("Found modified NP"); // testing
}
}
if (markNPconj && baseCategory.equals("NP") && baseParentStr.equals("NP")) {
if (rightSis.contains("CC")
|| rightSis.contains("PU")
|| leftSis.contains("CC")
|| leftSis.contains("PU")) {
category += "=CONJ";
// System.out.println("Found NP conjunct"); // testing
}
}
if (markIPconj && baseCategory.equals("IP") && baseParentStr.equals("IP")) {
Tree[] sisters = parent.children();
boolean hasCommaSis = false;
boolean hasIPSis = false;
for (Tree sister : sisters) {
if (ctlp.basicCategory(sister.label().value()).equals("PU")
&& ChineseTreebankLanguagePack.chineseCommaAcceptFilter()
.accept(sister.children()[0].label().toString())) {
hasCommaSis = true;
// System.out.println("Found CommaSis"); // testing
}
if (ctlp.basicCategory(sister.label().value()).equals("IP") && sister != t) {
hasIPSis = true;
}
}
if (hasCommaSis && hasIPSis) {
category += "-CONJ";
// System.out.println("Found IP conjunct"); // testing
}
}
if (unaryIP && baseCategory.equals("IP") && t.numChildren() == 1) {
category += "-U";
// System.out.println("Found unary IP"); //testing
}
if (unaryCP && baseCategory.equals("CP") && t.numChildren() == 1) {
category += "-U";
// System.out.println("Found unary CP"); //testing
}
if (splitBaseNP && baseCategory.equals("NP")) {
if (t.isPrePreTerminal()) {
category = category + "-B";
}
}
// if (Test.verbose) printlnErr(baseCategory + " " + leftSis.toString()); //debugging
if (markPostverbalPP && leftSis.contains("VV") && baseCategory.equals("PP")) {
// System.out.println("Found post-verbal PP");
category += "=lVV";
}
if ((markADgrandchildOfIP || gpaAD)
&& listBasicCategories(SisterAnnotationStats.kidLabels(t)).contains("AD")) {
category += "^ADVP";
}
if (markCC) {
// was: for (int i = 0; i < kids.length; i++) {
// This second version takes an idea from Collins: don't count
// marginal conjunctions which don't conjoin 2 things.
for (int i = 1; i < kids.length - 1; i++) {
String cat2 = kids[i].label().value();
if (cat2.startsWith("CC")) {
category += "-CC";
}
}
}
Label label = new CategoryWordTag(category, word, tag);
t.setLabel(label);
}
return t;
}
private void forwardPropagateTree(
Tree tree,
List<String> words,
IdentityHashMap<Tree, SimpleMatrix> nodeVectors,
IdentityHashMap<Tree, Double> scores) {
if (tree.isLeaf()) {
return;
}
if (tree.isPreTerminal()) {
Tree wordNode = tree.children()[0];
String word = wordNode.label().value();
SimpleMatrix wordVector = dvModel.getWordVector(word);
wordVector = NeuralUtils.elementwiseApplyTanh(wordVector);
nodeVectors.put(tree, wordVector);
return;
}
for (Tree child : tree.children()) {
forwardPropagateTree(child, words, nodeVectors, scores);
}
// at this point, nodeVectors contains the vectors for all of
// the children of tree
SimpleMatrix childVec;
if (tree.children().length == 2) {
childVec =
NeuralUtils.concatenateWithBias(
nodeVectors.get(tree.children()[0]), nodeVectors.get(tree.children()[1]));
} else {
childVec = NeuralUtils.concatenateWithBias(nodeVectors.get(tree.children()[0]));
}
if (op.trainOptions.useContextWords) {
childVec = concatenateContextWords(childVec, tree.getSpan(), words);
}
SimpleMatrix W = dvModel.getWForNode(tree);
if (W == null) {
String error = "Could not find W for tree " + tree;
if (op.testOptions.verbose) {
System.err.println(error);
}
throw new NoSuchParseException(error);
}
SimpleMatrix currentVector = W.mult(childVec);
currentVector = NeuralUtils.elementwiseApplyTanh(currentVector);
nodeVectors.put(tree, currentVector);
SimpleMatrix scoreW = dvModel.getScoreWForNode(tree);
if (scoreW == null) {
String error = "Could not find scoreW for tree " + tree;
if (op.testOptions.verbose) {
System.err.println(error);
}
throw new NoSuchParseException(error);
}
double score = scoreW.dot(currentVector);
// score = NeuralUtils.sigmoid(score);
scores.put(tree, score);
// System.err.print(Double.toString(score)+" ");
}
private PropertyList addConstituentFeatures(
PropertyList pl,
Document doc,
Pair<Integer, Integer> candidate,
int arg2Line,
int arg2HeadPos,
int connStart,
int connEnd) {
Sentence arg2Sentence = doc.getSentence(arg2Line);
String conn = arg2Sentence.toString(connStart, connEnd);
int connHeadPos = connAnalyzer.getHeadWord(arg2Sentence.getParseTree(), connStart, connEnd);
int arg1Line = candidate.first();
Tree arg1Tree = doc.getTree(arg1Line);
int arg1HeadPos = candidate.second();
List<String> path = new ArrayList<String>();
List<String> pathWithoutPOS = new ArrayList<String>();
if (arg1Line == arg2Line) {
Tree root = arg1Tree;
List<Tree> leaves = root.getLeaves();
List<Tree> treePath = root.pathNodeToNode(leaves.get(connHeadPos), leaves.get(arg1HeadPos));
if (treePath != null) {
for (Tree t : treePath) {
if (!t.isLeaf()) {
path.add(t.value());
if (!t.isPreTerminal()) {
pathWithoutPOS.add(t.value());
}
}
}
}
} else {
Tree arg2Root = arg2Sentence.getParseTree();
Tree mainHead = headAnalyzer.getCollinsHead(arg2Root.getChild(0));
List<Tree> leaves = arg2Root.getLeaves();
int mainHeadPos = treeAnalyzer.getLeafPosition(arg2Root, mainHead);
if (mainHeadPos != -1) {
List<Tree> treePath =
arg2Root.pathNodeToNode(leaves.get(connHeadPos), leaves.get(mainHeadPos));
if (treePath != null) {
for (Tree t : treePath) {
if (!t.isLeaf()) {
path.add(t.value());
if (!t.isPreTerminal()) {
pathWithoutPOS.add(t.value());
}
}
}
}
}
for (int i = 0; i < Math.abs(arg1Line - arg2Line); i++) {
path.add("SENT");
pathWithoutPOS.add("SENT");
}
Tree arg1Root = arg1Tree;
mainHead = headAnalyzer.getCollinsHead(arg1Root.getChild(0));
leaves = arg1Root.getLeaves();
mainHeadPos = treeAnalyzer.getLeafPosition(arg1Root, mainHead);
if (mainHeadPos != -1) {
List<Tree> treePath =
arg1Root.pathNodeToNode(leaves.get(mainHeadPos), leaves.get(arg1HeadPos));
if (treePath != null) {
for (Tree t : treePath) {
if (!t.isLeaf()) {
path.add(t.value());
if (!t.isPreTerminal()) {
pathWithoutPOS.add(t.value());
}
}
}
}
}
}
// H-full path
// L-C&H
StringBuilder fullPath = new StringBuilder();
for (String node : path) {
fullPath.append(node).append(":");
}
pl = PropertyList.add("H=" + fullPath.toString(), 1.0, pl);
pl = PropertyList.add("L=CONN-" + conn + "&" + "H-" + fullPath.toString(), 1.0, pl);
// I-length of path
pl = PropertyList.add("I=" + path.size(), 1.0, pl);
// J-collapsed path without part of speech
// K-collapsed path without repititions
fullPath = new StringBuilder();
StringBuilder collapsedPath = new StringBuilder();
String prev = "";
for (String node : pathWithoutPOS) {
fullPath.append(node).append(":");
if (!node.equals(prev)) {
collapsedPath.append(node).append(":");
}
prev = node;
}
pl = PropertyList.add("J=" + fullPath.toString(), 1.0, pl);
pl = PropertyList.add("K=" + collapsedPath.toString(), 1.0, pl);
return pl;
}
public void backpropDerivative(
Tree tree,
List<String> words,
IdentityHashMap<Tree, SimpleMatrix> nodeVectors,
TwoDimensionalMap<String, String, SimpleMatrix> binaryW_dfs,
Map<String, SimpleMatrix> unaryW_dfs,
TwoDimensionalMap<String, String, SimpleMatrix> binaryScoreDerivatives,
Map<String, SimpleMatrix> unaryScoreDerivatives,
Map<String, SimpleMatrix> wordVectorDerivatives,
SimpleMatrix deltaUp) {
if (tree.isLeaf()) {
return;
}
if (tree.isPreTerminal()) {
if (op.trainOptions.trainWordVectors) {
String word = tree.children()[0].label().value();
word = dvModel.getVocabWord(word);
// SimpleMatrix currentVector = nodeVectors.get(tree);
// SimpleMatrix currentVectorDerivative =
// nonlinearityVectorToDerivative(currentVector);
// SimpleMatrix derivative = deltaUp.elementMult(currentVectorDerivative);
SimpleMatrix derivative = deltaUp;
wordVectorDerivatives.put(word, wordVectorDerivatives.get(word).plus(derivative));
}
return;
}
SimpleMatrix currentVector = nodeVectors.get(tree);
SimpleMatrix currentVectorDerivative =
NeuralUtils.elementwiseApplyTanhDerivative(currentVector);
SimpleMatrix scoreW = dvModel.getScoreWForNode(tree);
currentVectorDerivative = currentVectorDerivative.elementMult(scoreW.transpose());
// the delta that is used at the current nodes
SimpleMatrix deltaCurrent = deltaUp.plus(currentVectorDerivative);
SimpleMatrix W = dvModel.getWForNode(tree);
SimpleMatrix WTdelta = W.transpose().mult(deltaCurrent);
if (tree.children().length == 2) {
// TODO: RS: Change to the nice "getWForNode" setup?
String leftLabel = dvModel.basicCategory(tree.children()[0].label().value());
String rightLabel = dvModel.basicCategory(tree.children()[1].label().value());
binaryScoreDerivatives.put(
leftLabel,
rightLabel,
binaryScoreDerivatives.get(leftLabel, rightLabel).plus(currentVector.transpose()));
SimpleMatrix leftVector = nodeVectors.get(tree.children()[0]);
SimpleMatrix rightVector = nodeVectors.get(tree.children()[1]);
SimpleMatrix childrenVector = NeuralUtils.concatenateWithBias(leftVector, rightVector);
if (op.trainOptions.useContextWords) {
childrenVector = concatenateContextWords(childrenVector, tree.getSpan(), words);
}
SimpleMatrix W_df = deltaCurrent.mult(childrenVector.transpose());
binaryW_dfs.put(leftLabel, rightLabel, binaryW_dfs.get(leftLabel, rightLabel).plus(W_df));
// and then recurse
SimpleMatrix leftDerivative = NeuralUtils.elementwiseApplyTanhDerivative(leftVector);
SimpleMatrix rightDerivative = NeuralUtils.elementwiseApplyTanhDerivative(rightVector);
SimpleMatrix leftWTDelta = WTdelta.extractMatrix(0, deltaCurrent.numRows(), 0, 1);
SimpleMatrix rightWTDelta =
WTdelta.extractMatrix(deltaCurrent.numRows(), deltaCurrent.numRows() * 2, 0, 1);
backpropDerivative(
tree.children()[0],
words,
nodeVectors,
binaryW_dfs,
unaryW_dfs,
binaryScoreDerivatives,
unaryScoreDerivatives,
wordVectorDerivatives,
leftDerivative.elementMult(leftWTDelta));
backpropDerivative(
tree.children()[1],
words,
nodeVectors,
binaryW_dfs,
unaryW_dfs,
binaryScoreDerivatives,
unaryScoreDerivatives,
wordVectorDerivatives,
rightDerivative.elementMult(rightWTDelta));
} else if (tree.children().length == 1) {
String childLabel = dvModel.basicCategory(tree.children()[0].label().value());
unaryScoreDerivatives.put(
childLabel, unaryScoreDerivatives.get(childLabel).plus(currentVector.transpose()));
SimpleMatrix childVector = nodeVectors.get(tree.children()[0]);
SimpleMatrix childVectorWithBias = NeuralUtils.concatenateWithBias(childVector);
if (op.trainOptions.useContextWords) {
childVectorWithBias = concatenateContextWords(childVectorWithBias, tree.getSpan(), words);
}
SimpleMatrix W_df = deltaCurrent.mult(childVectorWithBias.transpose());
// System.out.println("unary backprop derivative for " + childLabel);
// System.out.println("Old transform:");
// System.out.println(unaryW_dfs.get(childLabel));
// System.out.println(" Delta:");
// System.out.println(W_df.scale(scale));
unaryW_dfs.put(childLabel, unaryW_dfs.get(childLabel).plus(W_df));
// and then recurse
SimpleMatrix childDerivative = NeuralUtils.elementwiseApplyTanhDerivative(childVector);
// SimpleMatrix childDerivative = childVector;
SimpleMatrix childWTDelta = WTdelta.extractMatrix(0, deltaCurrent.numRows(), 0, 1);
backpropDerivative(
tree.children()[0],
words,
nodeVectors,
binaryW_dfs,
unaryW_dfs,
binaryScoreDerivatives,
unaryScoreDerivatives,
wordVectorDerivatives,
childDerivative.elementMult(childWTDelta));
}
}
/**
* Adds dependencies to list depList. These are in terms of the original tag set not the reduced
* (projected) tag set.
*/
protected static EndHead treeToDependencyHelper(
Tree tree,
List<IntDependency> depList,
int loc,
Index<String> wordIndex,
Index<String> tagIndex) {
// try {
// PrintWriter pw = new PrintWriter(new OutputStreamWriter(System.out,"GB18030"),true);
// tree.pennPrint(pw);
// }
// catch (UnsupportedEncodingException e) {}
if (tree.isLeaf() || tree.isPreTerminal()) {
EndHead tempEndHead = new EndHead();
tempEndHead.head = loc;
tempEndHead.end = loc + 1;
return tempEndHead;
}
Tree[] kids = tree.children();
if (kids.length == 1) {
return treeToDependencyHelper(kids[0], depList, loc, wordIndex, tagIndex);
}
EndHead tempEndHead = treeToDependencyHelper(kids[0], depList, loc, wordIndex, tagIndex);
int lHead = tempEndHead.head;
int split = tempEndHead.end;
tempEndHead = treeToDependencyHelper(kids[1], depList, tempEndHead.end, wordIndex, tagIndex);
int end = tempEndHead.end;
int rHead = tempEndHead.head;
String hTag = ((HasTag) tree.label()).tag();
String lTag = ((HasTag) kids[0].label()).tag();
String rTag = ((HasTag) kids[1].label()).tag();
String hWord = ((HasWord) tree.label()).word();
String lWord = ((HasWord) kids[0].label()).word();
String rWord = ((HasWord) kids[1].label()).word();
boolean leftHeaded = hWord.equals(lWord);
String aTag = (leftHeaded ? rTag : lTag);
String aWord = (leftHeaded ? rWord : lWord);
int hT = tagIndex.indexOf(hTag);
int aT = tagIndex.indexOf(aTag);
int hW =
(wordIndex.contains(hWord)
? wordIndex.indexOf(hWord)
: wordIndex.indexOf(Lexicon.UNKNOWN_WORD));
int aW =
(wordIndex.contains(aWord)
? wordIndex.indexOf(aWord)
: wordIndex.indexOf(Lexicon.UNKNOWN_WORD));
int head = (leftHeaded ? lHead : rHead);
int arg = (leftHeaded ? rHead : lHead);
IntDependency dependency =
new IntDependency(
hW, hT, aW, aT, leftHeaded, (leftHeaded ? split - head - 1 : head - split));
depList.add(dependency);
IntDependency stopL =
new IntDependency(
aW, aT, STOP_WORD_INT, STOP_TAG_INT, false, (leftHeaded ? arg - split : arg - loc));
depList.add(stopL);
IntDependency stopR =
new IntDependency(
aW,
aT,
STOP_WORD_INT,
STOP_TAG_INT,
true,
(leftHeaded ? end - arg - 1 : split - arg - 1));
depList.add(stopR);
// System.out.println("Adding: "+dependency+" at "+tree.label());
tempEndHead.head = head;
return tempEndHead;
}
