/**
   * Parses a sentence and returns the parse tree.
   *
   * @param sentence a sentence
   * @return Tree character offsets in keys BEGIN_KEY and END_KEY
   */
  @SuppressWarnings("unchecked")
  public static Tree parseTree(String sentence) {
    if (tlp == null || parser == null)
      throw new RuntimeException("Parser has not been initialized");

    // parse the sentence to produce stanford Tree
    log.debug("Parsing sentence");
    Tree tree = null;
    synchronized (parser) {
      Tokenizer tokenizer = tlp.getTokenizerFactory().getTokenizer(new StringReader(sentence));
      List<Word> words = tokenizer.tokenize();
      log.debug("Tokenization: " + words);
      parser.parse(new Sentence(words));
      tree = parser.getBestParse();
    }

    // label tree with character extents
    // log.debug("Setting character extents");
    // updateTreeLabels(tree, tree, new MutableInteger(), new MutableInteger(-1));
    // log.debug("Creating offset mapping");
    // List<RangeMap> mapping = createMapping(sentence);
    // log.debug(mapping.toString());
    // log.debug("Applying offset mapping");
    // mapOffsets(tree, mapping);

    return tree;
  }
  /**
   * Parses a sentence and returns the PCFG score as a confidence measure.
   *
   * @param sentence a sentence
   * @return PCFG score
   */
  @SuppressWarnings("unchecked")
  public static double getPCFGScore(String sentence) {
    if (tlp == null || parser == null)
      throw new RuntimeException("Parser has not been initialized");

    // parse the sentence to produce PCFG score
    log.debug("Parsing sentence");
    double score;
    synchronized (parser) {
      Tokenizer tokenizer = tlp.getTokenizerFactory().getTokenizer(new StringReader(sentence));
      List<Word> words = tokenizer.tokenize();
      log.debug("Tokenization: " + words);
      parser.parse(new Sentence(words));
      score = parser.getPCFGScore();
    }

    return score;
  }
  @Override
  public SymmetricalWordAlignment processAndAlign(String input) {
    input = input.trim();

    // Run through the tokenizer and convert to sequence
    String tokenizerInput = toUncased(input);
    String[] uncasedInputTokens = tokenizerInput.split("\\s+");
    Tokenizer<CoreLabel> tokenizer = tf.getTokenizer(new StringReader(tokenizerInput));
    List<CoreLabel> outputTokens = tokenizer.tokenize();
    IString[] outputSequence = new IString[outputTokens.size()];
    for (int i = 0; i < outputSequence.length; ++i) {
      String outputToken = outputTokens.get(i).get(TextAnnotation.class);
      outputSequence[i] = new IString(outputToken);
    }

    // Whitespace tokenization of input, create alignment
    Sequence<IString> inputSequence = IStrings.tokenize(input);
    assert inputSequence.size() == uncasedInputTokens.length;
    SymmetricalWordAlignment alignment =
        new SymmetricalWordAlignment(
            inputSequence, new SimpleSequence<IString>(true, outputSequence));

    // Generate the alignments
    StringBuilder inputToken = new StringBuilder();
    for (int i = 0, j = 0, limit = outputTokens.size(); j < limit; ++j) {
      CoreLabel tokenizedToken = outputTokens.get(j);
      String inputTokenPart = toUncased(tokenizedToken.get(OriginalTextAnnotation.class));
      alignment.addAlign(i, j);

      inputToken.append(inputTokenPart);
      if (i >= uncasedInputTokens.length) {
        System.err.println("WARNING: Non-invertible input: " + input);
        break;
      }
      if (uncasedInputTokens[i].equals(inputToken.toString())) {
        ++i;
        inputToken = new StringBuilder();
      }
    }
    return alignment;
  }
Exemple #4
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  private static List<TypedDependency> getDependencies(String sentence) {

    if (pipeline == null) {
      loadModels();
    }

    TokenizerFactory<CoreLabel> tokenizerFactory =
        PTBTokenizer.factory(new CoreLabelTokenFactory(), "");
    Tokenizer<CoreLabel> tok = tokenizerFactory.getTokenizer(new StringReader(sentence));
    List<CoreLabel> rawWords2 = tok.tokenize();
    Tree parse = lp.apply(rawWords2);
    //        parse.pennPrint();
    //
    //        System.out.println(parse.toString());

    TreebankLanguagePack tlp = lp.treebankLanguagePack(); // PennTreebankLanguagePack for English
    GrammaticalStructureFactory gsf = tlp.grammaticalStructureFactory();
    GrammaticalStructure gs = gsf.newGrammaticalStructure(parse);
    List<TypedDependency> tdl = gs.typedDependenciesCCprocessed();

    return tdl;
  }
  /**
   * parse sentence and generate .trees file
   *
   * @param en
   * @param align
   * @param out
   */
  public static void parse(String en, String align, String out, boolean verbose) {

    // use alignments?
    boolean use_alignments = true;
    if (align.startsWith("no_align")) {
      use_alignments = false;
      System.err.println("Not using alignments.");
    } else {
      System.err.println("Using alignments from " + align);
    }

    // setup stanfordparser
    String grammar = "edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz";
    String[] options = {"-outputFormat", "wordsAndTags, typedDependencies"};
    LexicalizedParser lp = LexicalizedParser.loadModel(grammar, options);
    TreebankLanguagePack tlp = lp.getOp().langpack();
    java.util.function.Predicate<java.lang.String> punctuationFilter = x -> true;

    GrammaticalStructureFactory gsf =
        new edu.stanford.nlp.trees.EnglishGrammaticalStructureFactory(punctuationFilter);

    // read document
    Iterable<List<? extends HasWord>> sentences;
    Reader r = new Reader(en);
    String line = null;
    List<List<? extends HasWord>> tmp = new ArrayList<List<? extends HasWord>>();
    while ((line = r.getNext()) != null) {
      Tokenizer<? extends HasWord> token =
          tlp.getTokenizerFactory().getTokenizer(new StringReader(line));
      List<? extends HasWord> sentence = token.tokenize();
      tmp.add(sentence);
    }
    sentences = tmp;

    // set up alignment file reader
    Reader alignment = new Reader();
    if (use_alignments) {
      alignment = new Reader(align);
    }

    // set up tree file writer
    Writer treeWriter = new Writer(out);

    // parse
    long start = System.currentTimeMillis();
    // System.err.print("Parsing sentences ");
    int sentID = 0;
    for (List<? extends HasWord> sentence : sentences) {
      Tree t = new Tree();
      // t.setSentID(++sentID);
      System.err.println("parse Sentence :" + sentence + "...");
      // System.err.print(".");
      System.err.println("-----------------------------------------------------------------------");
      edu.stanford.nlp.trees.Tree parse = lp.parse(sentence);
      // parse.pennPrint();

      // List for root node and lexical nodes
      List<Node> loneNodes = new LinkedList<Node>();
      List<Node> governingNodes = new LinkedList<Node>();

      // ROOT node
      Node root = new Node(true, true);
      root.setTag("ROOT");
      t.setRoot(root);
      loneNodes.add(root);
      governingNodes.add(root);

      // tagging

      int counter = 0;
      String surface = "";
      String tag = "";

      for (TaggedWord tw : parse.taggedYield()) {
        Node n = new Node();
        Node governingNode = new Node();
        n.setNodeID(++counter);
        surface = tw.value();
        tag = tw.tag();
        if (surface.startsWith("-LRB-")) {
          surface = "(";
        } else if (surface.startsWith("-RRB-")) {
          surface = ")";
          // } else if (surface.startsWith("-LSB-")){
          //    surface = "[";
          // } else if (surface.startsWith("-RSB-")){
          //    surface = "]";
          // } else if (surface.startsWith("-LCB-")){
          //    surface = "{";
          // } else if (surface.startsWith("-RCB-")){
          //    surface = "}";
        } else if (surface.startsWith("''")) {
          surface = "\"";
        }
        tag = tag.replaceAll("#", "-NUM-");
        surface = surface.replaceAll("&", "-AMP-");
        surface = surface.replaceAll("#", "-NUM-");
        surface = surface.replaceAll(">", "-GRE-");
        surface = surface.replaceAll("=", "-EQU-");
        n.setInitialLexicalIndex(counter);
        governingNode.setInitialLexicalIndex(counter);
        n.setSurface(surface);
        // System.out.print("("+tw.value()+" : ");
        n.setTag(tag);
        governingNode.setTag("_" + tag);
        governingNode.setLabel("_gov");
        // System.out.print(tw.tag()+")");
        loneNodes.add(n);
        governingNodes.add(governingNode);
        governingNode.setChild(n);
      }

      // System.out.println("");

      // t.setSentLength(t.getNodes().size() - 1);
      // List<Node> loneNodes = new LinkedList<Node>();
      Node[] nodes = new Node[2000];
      // labeling
      int depIndex;
      int govIndex;
      String[] depInfo;
      String[] govInfo;
      GrammaticalStructure gs = gsf.newGrammaticalStructure(parse);
      List<TypedDependency> tdl = gs.typedDependencies(false);
      // List<TypedDependency> tdl = gs.typedDependenciesCCprocessed();
      for (TypedDependency td : tdl) {
        depIndex = td.dep().index();
        govIndex = td.gov().index();
        // System.out.println("Index1:"+depIndex);
        // System.out.println("Index2:"+govIndex);
        // if (nodes[depIndex] == null){
        //	System.out.println("Making node!");
        //	nodes[depIndex] = new Node();
        // }
        // if (nodes[govIndex] == null){
        //	System.out.println("Making node!");
        //	nodes[govIndex] = new Node();
        // }
        Node dep = loneNodes.get((depIndex));
        Node gov = governingNodes.get((govIndex));
        Node depcopy = governingNodes.get((depIndex));
        Node govcopy = loneNodes.get((govIndex));
        dep.setLabel(td.reln().toString());
        depcopy.setLabel(td.reln().toString());
        govcopy.setLabel("head");
        // System.out.println(td.toString());
        govInfo = td.gov().toString().split("/");
        depInfo = td.dep().toString().split("/");
        // System.out.println(td.gov().toString());
        // System.out.println(td.dep().toString());
        // dep.setSurface(depInfo[0]);
        // dep.setTag(depInfo[1]);
        gov.setChild(governingNodes.get(depIndex));
        governingNodes.get(depIndex).setParent(gov);
        // gov.setChild(dep);
        dep.setParent(governingNodes.get(depIndex));
      }
      // t.setRoot(nodes[0]);

      // Collapse tree to remove unneeded governing nodes:

      Node gov;
      Node dep;
      Node parent;
      List<Node> children;

      for (int i = 1; i < governingNodes.size(); i++) { // start with index 1 to skip root
        gov = governingNodes.get(i);
        dep = loneNodes.get(i);
        if (gov.getChildren().size() <= 1) {
          int k = 0;
          parent = gov.getParent();
          children = parent.getChildren();

          for (Node n : children) {
            if (n == gov) {
              gov.getParent().replaceChild(k, dep);
              dep.setParent(gov.getParent());
            }
            k++;
          }
        }
      }
      // Mark head nodes with appropriate label:
      int k = 0;
      for (Node n : loneNodes) {
        if (k != 0) {
          if (n.getLabel() == n.getParent().getLabel()) {
            n.setLabel("head");
          }
        } else {
          n.setLabel("null");
        }
        k++;
      }
      // Sort lexical children of each governing node in lexical order

      for (Node n : governingNodes) {
        n.sortChildrenByInitialIndex();
      }

      // combine with alignment
      if (use_alignments) {
        t.initialize(alignment.readNextAlign());
      } else {
        t.initializeUnaligned();
      }

      // write tree to file
      treeWriter.write(t);

      // print tree to console

      System.out.println(t.toSentence());
      if (verbose) {
        System.err.println(t.toString());
        // t.recursivePrint();
      }
      System.err.println("#######################################################################");
    }
    long stop = System.currentTimeMillis();
    System.err.println("...done! [" + (stop - start) / 1000 + " sec].");

    treeWriter.close();
  }
 private Tree getPosTree(String sentence) {
   final Tokenizer<CoreLabel> tokenizer =
       tokenizerFactory.getTokenizer(new StringReader(sentence));
   final List<CoreLabel> tokens = tokenizer.tokenize();
   return parser.apply(tokens);
 }
 private static List<CoreLabel> tokenize(String str) {
   Tokenizer<CoreLabel> tokenizer = tokenizerFactory.getTokenizer(new StringReader(str));
   return tokenizer.tokenize();
 }
Exemple #8
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		public HashMap<String,ArrayList<TreeData>> parseAllDocs() throws IOException{ 
			String grammar =  "./jsan_resources/englishPCFG.ser.gz";
			String[] options = { "-maxLength", "120", "-retainTmpSubcategories" };
//			LexicalizedParser lp = new LexicalizedParser(grammar, options);
			
			LexicalizedParser lp = new LexicalizedParser()
			TreebankLanguagePack tlp = new PennTreebankLanguagePack();
			
			GrammaticalStructureFactory gsf = tlp.grammaticalStructureFactory();
			Iterable<List<? extends HasWord>> sentences;
			ArrayList<HashMap<String,ArrayList<String>>> everything = new ArrayList<HashMap<String,ArrayList<String>>>(3); 
			everything.add(0,otherSampleStrings);
			everything.add(1,authorSampleStrings);
			everything.add(2,toModifyStrings);
			Iterator<HashMap<String,ArrayList<String>>> everythingIter = everything.iterator();
			int docTypeNumber = -1; // 0 for otherSampleStrings, 1 for authorSampleStrings, 2 for toModifyStrings
			int numLoaded = 0;
			while(everythingIter.hasNext()){
				docTypeNumber++;
				HashMap<String,ArrayList<String>> currentSampleStrings = docPathFinder();
				Set<String> currentDocStrings = currentSampleStrings.keySet();
				Iterator<String> docStrIter = currentDocStrings.iterator();
				String docID;
				ArrayList<String> sentenceTokens;
				allTreeProcessors[docTypeNumber]  = new TreeProcessor();
				allTreeProcessors[docTypeNumber].clearLoadedTreeDataMaps();
				numLoaded=0;
				while(docStrIter.hasNext()){
					docID = docStrIter.next();
					sentenceTokens = currentSampleStrings.get(docID);
					if(sentenceTokens == null){
						allTreeProcessors[docTypeNumber].loadTreeDataMap(docID, GRAMMAR_DIR, false);
						numLoaded++;
						continue;
					}
					//System.out.println(sentenceTokens.size()+", strIter.hasNext? -> "+strIter.hasNext());

					numSentences = sentenceTokens.size();
					//initialize(numSentences);
					Iterator<String> sentIter = sentenceTokens.iterator();
					List<List<? extends HasWord>> tmp = new ArrayList<List<? extends HasWord>>();
					String tempSent;
					while(sentIter.hasNext()){
						tempSent = sentIter.next();
						Tokenizer<? extends HasWord> toke = tlp.getTokenizerFactory().getTokenizer(new StringReader(tempSent));
						List<? extends HasWord> sentenceTokenized = toke.tokenize();
						tmp.add(sentenceTokenized);
					}
					
					sentences = tmp;
					//int numDone = 0;
					TreeProcessor.singleDocMap.clear();
					boolean willSaveResults = true;
					for (List<? extends HasWord> sentence : sentences) {
						Tree parse = lp.apply(sentence);
						//parse.pennPrint();
						//System.out.println(parse.treeSkeletonCopy().toString());
						//System.out.println(parse.taggedYield());
						//System.out.println();
						//printSubTrees(parse);
						//TreeContainer.recurseTree(parse,"breadth");
						allTreeProcessors[docTypeNumber].processTree(parse, 0, willSaveResults); 
						//System.out.println(tc.processedTrees.toString().replaceAll("\\]\\], \\(","\\]\\]\n\\("));
						//numDone++;
						//System.out.println("sent "+numDone+" of "+numSentences+" done ");
						//System.out.println(tc.processedTrees.toString());
						//in.nextLine();
						//TreeContainer.recurseTree(parse, "depth");
						//in.nextLine();
						//addTree(parse);
						//GrammaticalStructure gs = gsf.newGrammaticalStructure(parse);//TODO: LOOK AT THIS
						//Collection tdl = gs.typedDependenciesCCprocessed(true);
						//System.out.println(tdl);
						//System.out.println();
					}
					if(willSaveResults == true)
						ObjectIO.writeObject(TreeProcessor.singleDocMap,docID, GRAMMAR_DIR);

					//System.out.println("After all sents: ");
					//System.out.println(tc.processedTrees.toString().replaceAll("\\]\\], \\(","\\]\\]\n\\("));
					//String sent3 = "This is one last test!";
					//Tree parse3 = lp.apply(sent3);
					//parse3.pennPrint();
					//System.out.println("After sorting and writing:");
					//System.out.println(tc.processedTrees.toString().replaceAll("\\]\\], \\(","\\]\\]\n\\("));
					//Scanner in = new Scanner(System.in);
					//System.out.println("First one done.");
					//in.nextLine();
					//viewTrees();
				}
				
				//TreeProcessor.writeTreeDataToCSV(sortedTD,docID);
				allTreeProcessors[docTypeNumber].unmergedMaps = new ArrayList<HashMap<String,TreeData>>(numLoaded+1);
				
			}	
			
			
			int i= 0;
			allParsedAndOrdered.clear();
			String[] docTypes = new String[]{"otherSample","authorSample","toModify"};
			for(i=0; i < 3; i++){
				allTreeProcessors[i].unmergedMaps.add(allTreeProcessors[i].processedTrees);
				allTreeProcessors[i].unmergedMaps.addAll(allTreeProcessors[i].loadedTreeDataMaps);
				allTreeProcessors[i].mergeTreeDataLists(allTreeProcessors[i].unmergedMaps);
				allParsedAndOrdered.put(docTypes[i],allTreeProcessors[i].sortTreeData(allTreeProcessors[i].mergedMap));
				
			}
			
			//ArrayList<TreeData> sortedTD = TreeContainer.sortTreeData(TreeContainer.allProcessedTrees);
			//TreeContainer.writeTreeDataToCSV(sortedTD,"ALL_AUTHORS");
			
			return allParsedAndOrdered;
		}
 /**
  * Tokenize a sentence in the argument, and print out the tokens to the console.
  *
  * @param args Set the first argument as the sentence to
  *     <p>be tokenized.
  */
 public static void main(String[] args) {
   TokenizerFactory<Word> factory = PTBTokenizerFactory.newTokenizerFactory();
   Tokenizer<Word> tokenizer = factory.getTokenizer(new StringReader(args[0]));
   System.out.println(tokenizer.tokenize());
 }