Java Code Examples for edu.stanford.nlp.process.PTBTokenizer#hasNext()

The following examples show how to use edu.stanford.nlp.process.PTBTokenizer#hasNext() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: StanfordPTBTokenizer.java    From mateplus with GNU General Public License v2.0 6 votes vote down vote up 
@Override
public String[] tokenize(String sentence) {
	Reader r = new StringReader(sentence);
	PTBTokenizer<Word> tokenizer = PTBTokenizer.newPTBTokenizer(r);
	List<String> l = new ArrayList<String>();
	while (tokenizer.hasNext()) {
		Word w = tokenizer.next();
		l.add(w.word());
	}
	String[] tok = new String[l.size() + 1];
	tok[0] = is2.io.CONLLReader09.ROOT;
	int i = 1;
	for (String s : l)
		tok[i++] = s;
	return tok;
}
Example 2
Source File: StanfordPTBTokenizer.java    From mateplus with GNU General Public License v2.0 6 votes vote down vote up 
public StringInText[] tokenizeplus(String sentence) {
	Reader r = new StringReader(sentence);
	PTBTokenizer<Word> tokenizer = PTBTokenizer.newPTBTokenizer(r);
	List<StringInText> l = new ArrayList<StringInText>();
	while (tokenizer.hasNext()) {
		Word w = tokenizer.next();
		l.add(new StringInText(w.word(), w.beginPosition() + startpos, w
				.endPosition() + startpos));
	}
	StringInText[] tok = new StringInText[l.size() + 1];
	tok[0] = new StringInText(is2.io.CONLLReader09.ROOT, 0, 0);
	int i = 1;
	for (StringInText s : l)
		tok[i++] = s;

	startpos += (1 + sentence.length());

	return tok;
}
Example 3
Source File: TokenizerDemo.java    From blog-codes with Apache License 2.0 5 votes vote down vote up 
public static void main(String[] args) throws IOException {
	for (String arg : args) {
		// option #1: By sentence.
		DocumentPreprocessor dp = new DocumentPreprocessor(arg);
		for (List<HasWord> sentence : dp) {
			System.out.println(sentence);
		}
		// option #2: By token
		PTBTokenizer<CoreLabel> ptbt = new PTBTokenizer<>(new FileReader(arg), new CoreLabelTokenFactory(), "");
		while (ptbt.hasNext()) {
			CoreLabel label = ptbt.next();
			System.out.println(label);
		}
	}
}
Example 4
Source File: Chapter1.java    From Natural-Language-Processing-with-Java-Second-Edition with MIT License 5 votes vote down vote up 
private static void stanfordNLPExample() {
    PTBTokenizer ptb = new PTBTokenizer(
            new StringReader("He lives at 1511 W. Randolph."),
            new CoreLabelTokenFactory(), null);
    while (ptb.hasNext()) {
        System.out.println(ptb.next());
    }

}
Example 5
Source File: Chapter2.java    From Natural-Language-Processing-with-Java-Second-Edition with MIT License 4 votes vote down vote up 
private static void usingTheStanfordTokenizer() {

        // Using PTBTokenizer
        System.out.println("----PTBTokenizer Example");

        // First example
//        PTBTokenizer ptb = new PTBTokenizer(new StringReader(paragraph),
//                new CoreLabelTokenFactory(),null);
//        while (ptb.hasNext()) {
//            System.out.println(ptb.next());
//        }
        // CoreLabel example
        CoreLabelTokenFactory ctf = new CoreLabelTokenFactory();
        PTBTokenizer ptb = new PTBTokenizer(new StringReader(paragraph),
                ctf, "invertible=true");
//        PTBTokenizer ptb = new PTBTokenizer(new StringReader(paragraph),
//                new WordTokenFactory(), null);
        while (ptb.hasNext()) {
            CoreLabel cl = (CoreLabel) ptb.next();
            System.out.println(cl.originalText() + " ("
                    + cl.beginPosition() + "-" + cl.endPosition() + ")");
        }

        // Using a DocumentPreprocessor
        System.out.println("----DocumentPreprocessor Example");
        Reader reader = new StringReader(paragraph);
        DocumentPreprocessor documentPreprocessor
                = new DocumentPreprocessor(reader);

        Iterator<List<HasWord>> it = documentPreprocessor.iterator();
        while (it.hasNext()) {
            List<HasWord> sentence = it.next();
            for (HasWord token : sentence) {
                System.out.println(token);
            }
        }

//        for (List<HasWord> sentence : documentPreprocessor) {
////            List<HasWord> sentence = it.next();
//            for (HasWord token : sentence) {
//                System.out.println(token);
//            }
//        }
        // Using a pipeline
        System.out.println("----pipeline Example");
        Properties properties = new Properties();
        properties.put("annotators", "tokenize, ssplit");

        StanfordCoreNLP pipeline = new StanfordCoreNLP(properties);
        Annotation annotation = new Annotation(paragraph);

        pipeline.annotate(annotation);
        pipeline.prettyPrint(annotation, System.out);

    }