List of tagSentence() Examples

Examples of tagSentence()

edu.stanford.nlp.tagger.maxent.MaxentTagger.tagSentence()
Returns a new Sentence that is a copy of the given sentence with all the words tagged with their part-of-speech. Convenience method when you only want to tag a single List instead of a Document of sentences. @param sentence sentence to tag @return tagged sentence
opennlp.ccg.parse.postagger.POSTagger.tagSentence()
In goes a list of {@code Word}s; out comes a list of {@code TaggedWord}s

Examples of edu.stanford.nlp.tagger.maxent.MaxentTagger.tagSentence()

    Timing timer = new Timing();


    MaxentTagger tagger = new MaxentTagger(config.tagger);
    List<List<TaggedWord>> tagged = new ArrayList<>();
    for (List<HasWord> sentence : preprocessor) {
      tagged.add(tagger.tagSentence(sentence));
    }


    System.err.printf("Tagging completed in %.2f sec.%n",
        timer.stop() / 1000.0);

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Examples of edu.stanford.nlp.tagger.maxent.MaxentTagger.tagSentence()

    MaxentTagger tagger = new MaxentTagger(taggerPath);
    DependencyParser parser = DependencyParser.loadFromModelFile(modelPath);


    DocumentPreprocessor tokenizer = new DocumentPreprocessor(new StringReader(text));
    for (List<HasWord> sentence : tokenizer) {
      List<TaggedWord> tagged = tagger.tagSentence(sentence);
      GrammaticalStructure gs = parser.predict(tagged);


      // Print typed dependencies
      System.err.println(gs);
    }

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Examples of edu.stanford.nlp.tagger.maxent.MaxentTagger.tagSentence()

    MaxentTagger tagger = new MaxentTagger(taggerPath);
    ShiftReduceParser model = ShiftReduceParser.loadModel(modelPath);


    DocumentPreprocessor tokenizer = new DocumentPreprocessor(new StringReader(text));
    for (List<HasWord> sentence : tokenizer) {
      List<TaggedWord> tagged = tagger.tagSentence(sentence);
      Tree tree = model.apply(tagged);
      System.err.println(tree);
    }
  }
}

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Examples of edu.stanford.nlp.tagger.maxent.MaxentTagger.tagSentence()

    BufferedReader r = new BufferedReader(new InputStreamReader(new FileInputStream(args[1]), "utf-8"));
    PrintWriter pw = new PrintWriter(new OutputStreamWriter(System.out, "utf-8"));
    DocumentPreprocessor documentPreprocessor = new DocumentPreprocessor(r);
    documentPreprocessor.setTokenizerFactory(ptbTokenizerFactory);
    for (List<HasWord> sentence : documentPreprocessor) {
      List<TaggedWord> tSentence = tagger.tagSentence(sentence);
      pw.println(Sentence.listToString(tSentence, false));
    }


    // print the adjectives in one more sentence. This shows how to get at words and tags in a tagged sentence.
    List<HasWord> sent = Sentence.toWordList("The", "slimy", "slug", "crawled", "over", "the", "long", ",", "green", "grass", ".");

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Examples of edu.stanford.nlp.tagger.maxent.MaxentTagger.tagSentence()

      pw.println(Sentence.listToString(tSentence, false));
    }


    // print the adjectives in one more sentence. This shows how to get at words and tags in a tagged sentence.
    List<HasWord> sent = Sentence.toWordList("The", "slimy", "slug", "crawled", "over", "the", "long", ",", "green", "grass", ".");
    List<TaggedWord> taggedSent = tagger.tagSentence(sent);
    for (TaggedWord tw : taggedSent) {
      if (tw.tag().startsWith("JJ")) {
        pw.println(tw.word());
      }
    }

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Examples of edu.stanford.nlp.tagger.maxent.MaxentTagger.tagSentence()

      return;
    }
    MaxentTagger tagger = new MaxentTagger(args[0]);
    List<List<HasWord>> sentences = MaxentTagger.tokenizeText(new BufferedReader(new FileReader(args[1])));
    for (List<HasWord> sentence : sentences) {
      List<TaggedWord> tSentence = tagger.tagSentence(sentence);
      System.out.println(Sentence.listToString(tSentence, false));
    }
  }


}

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Examples of opennlp.ccg.parse.postagger.POSTagger.tagSentence()

            Map<Integer, TaggedWord> sent = new HashMap<Integer, TaggedWord>(sentence.size());
            int index = 0;                
            if(posT == null) {                
                for(Word w : sentence) { sent.put(index++, new TaggedWord(w)); }            
            } else {
                List<TaggedWord> posTagging = posT.tagSentence(sentence);
                for(TaggedWord tw : posTagging) { sent.put(index++, tw); }
            }
            List<Collection<Pair<String,Double>>> ftss = fexer.getSentenceFeatures(sent, true);            
            for(Collection<Pair<String,Double>> fts : ftss) {
                index = 0;

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