edu.stanford.nlp.parser.lexparser.LexicalizedParser Java Examples

public static void writeImage(String sentence, String outFile, int scale) throws Exception {
    
    LexicalizedParser lp = null;
    try {
        lp = LexicalizedParser.loadModel("edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz");
    } catch (Exception e) {
        System.err.println("Could not load file englishPCFG.ser.gz. Try placing this file in the same directory as Dependencee.jar");
        return;
    }
    
    lp.setOptionFlags(new String[]{"-maxLength", "500", "-retainTmpSubcategories"});
    TokenizerFactory<CoreLabel> tokenizerFactory =
            PTBTokenizer.factory(new CoreLabelTokenFactory(), "");
    List<CoreLabel> wordList = tokenizerFactory.getTokenizer(new StringReader(sentence)).tokenize();
    Tree tree = lp.apply(wordList);
    writeImage(tree, outFile, scale);
    
}
 

/**
 * Test of writeImage method, of class Main.
 */

@Test
public void testWriteImage() throws Exception {
    String text = "A quick brown fox jumped over the lazy dog.";
    TreebankLanguagePack tlp = new PennTreebankLanguagePack();
    GrammaticalStructureFactory gsf = tlp.grammaticalStructureFactory();
    LexicalizedParser lp = LexicalizedParser.loadModel();
    lp.setOptionFlags(new String[]{"-maxLength", "500", "-retainTmpSubcategories"});
    TokenizerFactory<CoreLabel> tokenizerFactory =
            PTBTokenizer.factory(new CoreLabelTokenFactory(), "");
    List<CoreLabel> wordList = tokenizerFactory.getTokenizer(new StringReader(text)).tokenize();
    Tree tree = lp.apply(wordList);
    GrammaticalStructure gs = gsf.newGrammaticalStructure(tree);
    Collection<TypedDependency> tdl = gs.typedDependenciesCollapsed();
    Main.writeImage(tdl, "image.png", 3);
    assert (new File("image.png").exists());
}
 

public ClausIE(LexicalizedParser lp, TokenizerFactory<CoreLabel> tokenizerFactory, LexicalizedParserQuery lpq)
    throws IOException, URISyntaxException {
  this(new Options());
  this.lp = lp;
  this.tokenizerFactory = tokenizerFactory;
  this.lpq = lpq;
}
 

public static void main(String args[]){
    String parseModel = getResourcePath() + "englishPCFG.ser.gz";
    LexicalizedParser lexicalizedParser = LexicalizedParser.loadModel(parseModel);
    String [] sentenceArray = {"The", "cow" ,"jumped", "over", "the", "moon", "."};
    List<CoreLabel> words = SentenceUtils.toCoreLabelList(sentenceArray);
    Tree parseTree = lexicalizedParser.apply(words); 
    parseTree.pennPrint(); 
    
    TreePrint treePrint =  new TreePrint("typedDependenciesCollapsed"); 
    treePrint.printTree(parseTree); 
    
    
    String sentence = "The cow jumped over the moon."; 
    TokenizerFactory<CoreLabel> tokenizerFactory =  PTBTokenizer.factory(new CoreLabelTokenFactory(), ""); 
    Tokenizer<CoreLabel> tokenizer =  tokenizerFactory.getTokenizer(new StringReader(sentence)); 
    List<CoreLabel> wordList = tokenizer.tokenize(); 
    parseTree = lexicalizedParser.apply(wordList); 
    TreebankLanguagePack tlp =  lexicalizedParser.treebankLanguagePack(); 
    GrammaticalStructureFactory gsf =  tlp.grammaticalStructureFactory(); 
    GrammaticalStructure gs =  gsf.newGrammaticalStructure(parseTree); 
    List<TypedDependency> tdl = gs.typedDependenciesCCprocessed(); 
    System.out.println(tdl); 
    
    for(TypedDependency dependency : tdl) { 
        System.out.println("Governor Word: [" + dependency.gov()  
            + "] Relation: [" + dependency.reln().getLongName() 
            + "] Dependent Word: [" + dependency.dep() + "]"); 
    } 
    
}
 

public static Graph getGraph(String sentence) throws Exception {
    LexicalizedParser lp = LexicalizedParser.loadModel("edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz");
    lp.setOptionFlags(new String[]{"-maxLength", "500", "-retainTmpSubcategories"});
    TokenizerFactory<CoreLabel> tokenizerFactory =
            PTBTokenizer.factory(new CoreLabelTokenFactory(), "");
    List<CoreLabel> wordList = tokenizerFactory.getTokenizer(new StringReader(sentence)).tokenize();
    Tree tree = lp.apply(wordList);
    GrammaticalStructure gs = gsf.newGrammaticalStructure(tree);
    Collection<TypedDependency> tdl = gs.typedDependencies();
    return getGraph(tree, tdl);
}
 

public static Graph getGraph(String sentence, LexicalizedParser lp) throws Exception {
    TokenizerFactory<CoreLabel> tokenizerFactory =
            PTBTokenizer.factory(new CoreLabelTokenFactory(), "");
    List<CoreLabel> wordList = tokenizerFactory.getTokenizer(new StringReader(sentence)).tokenize();
    Tree tree = lp.apply(wordList);
    GrammaticalStructure gs = gsf.newGrammaticalStructure(tree);
    Collection<TypedDependency> tdl = gs.typedDependencies();
    return getGraph(tree, tdl);
}
 

public static void writeImage(String sentence, String outFile, LexicalizedParser lp) throws Exception {
    
    Tree parse;
    try {
        TokenizerFactory<CoreLabel> tokenizerFactory =
            PTBTokenizer.factory(new CoreLabelTokenFactory(), "");
    List<CoreLabel> wordList = tokenizerFactory.getTokenizer(new StringReader(sentence)).tokenize();
        parse = lp.apply(wordList);            
    } catch (Exception e) {
        throw e;
    }
    writeImage(parse, outFile);
    
}
 

/** Initializes the Stanford parser. */
public void initParser() {
  lp = LexicalizedParser.loadModel("edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz");
  tokenizerFactory = PTBTokenizer.factory(new CoreLabelTokenFactory(), "");
  lpq = lp.lexicalizedParserQuery();
}
 

private static void usingStanfordLexicalizedParser() {
        String parserModel = "C:/Current Books in Progress/NLP and Java/Models/edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz";
        LexicalizedParser lexicalizedParser = LexicalizedParser.loadModel(parserModel);

        // This option shows parsing a list of correctly tokenized words
        System.out.println("---First option");
        String[] senetenceArray = {"The", "cow", "jumped", "over", "the", "moon", "."};
        List<CoreLabel> words = Sentence.toCoreLabelList(senetenceArray);

        Tree parseTree = lexicalizedParser.apply(words);
        parseTree.pennPrint();
        System.out.println();

        // This option shows loading and using an explicit tokenizer
        System.out.println("---Second option");
        String sentence = "The cow jumped over the moon.";
        TokenizerFactory<CoreLabel> tokenizerFactory
                = PTBTokenizer.factory(new CoreLabelTokenFactory(), "");
        Tokenizer<CoreLabel> tokenizer
                = tokenizerFactory.getTokenizer(new StringReader(sentence));
        List<CoreLabel> wordList = tokenizer.tokenize();
        parseTree = lexicalizedParser.apply(wordList);

        TreebankLanguagePack tlp = lexicalizedParser.treebankLanguagePack(); // PennTreebankLanguagePack for English
        GrammaticalStructureFactory gsf = tlp.grammaticalStructureFactory();
        GrammaticalStructure gs = gsf.newGrammaticalStructure(parseTree);
        List<TypedDependency> tdl = gs.typedDependenciesCCprocessed();
        System.out.println(tdl);
        for (TypedDependency dependency : tdl) {
            System.out.println("Governor Word: [" + dependency.gov() + "] Relation: [" + dependency.reln().getLongName()
                    + "] Dependent Word: [" + dependency.dep() + "]");
        }
        System.out.println();

        // You can also use a TreePrint object to print trees and dependencies
//        System.out.println("---Using TreePrint");
//        TreePrint treePrint = new TreePrint("penn,typedDependenciesCollapsed");
//        treePrint.printTree(parseTree);
//        System.out.println("TreePrint Formats");
//        for (String format : TreePrint.outputTreeFormats) {
//            System.out.println(format);
//        }
//        System.out.println();
    }
 

public StanfordParser() {
	lp = LexicalizedParser.loadModel("edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz");
    tokenizerFactory = PTBTokenizer.factory(new CoreLabelTokenFactory(), "");
    tlp = new PennTreebankLanguagePack();
    gsf = tlp.grammaticalStructureFactory();
}
 

/**
 * parseSentence Author:chi Date:2017-3-22
 * 
 */
public Tree parseSentence(String input) {
	LexicalizedParser lp = LexicalizedParser.loadModel(grammars);
	Tree tree = lp.parse(input);
	return tree;
}
 

public CoreNLP() {
	this.lp = LexicalizedParser.loadModel(grammars);
}