Package org.apache.stanbol.enhancer.nlp.model

Examples of org.apache.stanbol.enhancer.nlp.model.Sentence.addToken()

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        int sentence = text.indexOf('.')+1;
        Sentence sent1 = analysedTextWithData.addSentence(0, sentence);
        expectedSentences.put(sent1, "The Stanbol enhancer can detect famous " +
            "cities such as Paris and people such as Bob Marley.");
       
        Token the = sent1.addToken(0, 3);
        expectedTokens.put(the, "The");
        the.addAnnotation(NlpAnnotations.POS_ANNOTATION, Value.value(
            new PosTag("PREP",Pos.Preposition), 0.85));
       
        Token stanbol = sent1.addToken(4,11);
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        Token the = sent1.addToken(0, 3);
        expectedTokens.put(the, "The");
        the.addAnnotation(NlpAnnotations.POS_ANNOTATION, Value.value(
            new PosTag("PREP",Pos.Preposition), 0.85));
       
        Token stanbol = sent1.addToken(4,11);
        expectedTokens.put(stanbol, "Stanbol");
        stanbol.addAnnotation(NlpAnnotations.POS_ANNOTATION, Value.value(
            new PosTag("PN", Pos.ProperNoun),0.95));
        stanbol.addAnnotation(NlpAnnotations.SENTIMENT_ANNOTATION, Value.value(
            0.5));
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        stanbol.addAnnotation(NlpAnnotations.SENTIMENT_ANNOTATION, Value.value(
            0.5));
       
        //use index to create Tokens
        int enhancerStart = sent1.getSpan().toString().indexOf("enhancer");
        Token enhancer = sent1.addToken(enhancerStart,enhancerStart+"enhancer".length());
        expectedTokens.put(enhancer, "enhancer");
        enhancer.addAnnotation(NlpAnnotations.POS_ANNOTATION, Value.value(
            new PosTag("PN", Pos.ProperNoun),0.95));
        enhancer.addAnnotation(NlpAnnotations.POS_ANNOTATION, Value.value(
            new PosTag("N", LexicalCategory.Noun),0.87));
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    assertAnalysedTextEquality(parsedAt);
  }
 
  private static void initCorefAnnotations() {
    Sentence sentence1 = at.addSentence(0, sentenceText1.indexOf(".") + 1);
        Token obama = sentence1.addToken(0, "Obama".length());
       
        Sentence sentence2 = at.addSentence(sentenceText1.indexOf(".") + 2, sentenceText2.indexOf(".") + 1);
        int heStartIdx = sentence2.getSpan().toString().indexOf("He");
        Token he = sentence2.addToken(heStartIdx, heStartIdx + "He".length());
       
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    Sentence sentence1 = at.addSentence(0, sentenceText1.indexOf(".") + 1);
        Token obama = sentence1.addToken(0, "Obama".length());
       
        Sentence sentence2 = at.addSentence(sentenceText1.indexOf(".") + 2, sentenceText2.indexOf(".") + 1);
        int heStartIdx = sentence2.getSpan().toString().indexOf("He");
        Token he = sentence2.addToken(heStartIdx, heStartIdx + "He".length());
       
        Set<Span> obamaMentions = new HashSet<Span>();
        obamaMentions.add(he);
        obama.addAnnotation(NlpAnnotations.COREF_ANNOTATION,
          Value.value(new CorefFeature(true, obamaMentions)));
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    assertAnalysedTextEquality(parsedAt);
  }
 
  private static void initDepTreeAnnotations() {
    Sentence sentence = at.addSentence(0, text.indexOf(".") + 1);
        Token obama = sentence.addToken(0, "Obama".length());
       
        int visitedStartIdx = sentence.getSpan().toString().indexOf("visited");
        Token visited = sentence.addToken(visitedStartIdx, visitedStartIdx + "visited".length());
       
        int chinaStartIdx = sentence.getSpan().toString().indexOf("China");
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  private static void initDepTreeAnnotations() {
    Sentence sentence = at.addSentence(0, text.indexOf(".") + 1);
        Token obama = sentence.addToken(0, "Obama".length());
       
        int visitedStartIdx = sentence.getSpan().toString().indexOf("visited");
        Token visited = sentence.addToken(visitedStartIdx, visitedStartIdx + "visited".length());
       
        int chinaStartIdx = sentence.getSpan().toString().indexOf("China");
        Token china = sentence.addToken(chinaStartIdx, chinaStartIdx + "China".length());
       
        GrammaticalRelationTag nSubjGrammRelTag = new GrammaticalRelationTag(
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        int visitedStartIdx = sentence.getSpan().toString().indexOf("visited");
        Token visited = sentence.addToken(visitedStartIdx, visitedStartIdx + "visited".length());
       
        int chinaStartIdx = sentence.getSpan().toString().indexOf("China");
        Token china = sentence.addToken(chinaStartIdx, chinaStartIdx + "China".length());
       
        GrammaticalRelationTag nSubjGrammRelTag = new GrammaticalRelationTag(
                "nsubj", GrammaticalRelation.NominalSubject);
        obama.addAnnotation(NlpAnnotations.DEPENDENCY_ANNOTATION,
          Value.value(new DependencyRelation(nSubjGrammRelTag, true, visited)));
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        int sentence = text.indexOf('.')+1;
        Sentence sent1 = analysedTextWithData.addSentence(0, sentence);
        expectedSentences.put(sent1, "The Stanbol enhancer can detect famous " +
            "cities such as Paris and people such as Bob Marley.");
       
        Token the = sent1.addToken(0, 3);
        expectedTokens.put(the, "The");
        the.addAnnotation(NlpAnnotations.POS_ANNOTATION, Value.value(
            new PosTag("PREP",Pos.Preposition), 0.85));
       
        Token stanbol = sent1.addToken(4,11);
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        Token the = sent1.addToken(0, 3);
        expectedTokens.put(the, "The");
        the.addAnnotation(NlpAnnotations.POS_ANNOTATION, Value.value(
            new PosTag("PREP",Pos.Preposition), 0.85));
       
        Token stanbol = sent1.addToken(4,11);
        expectedTokens.put(stanbol, "Stanbol");
        stanbol.addAnnotation(NlpAnnotations.POS_ANNOTATION, Value.value(
            new PosTag("PN", Pos.ProperNoun),0.95));
        stanbol.addAnnotation(NlpAnnotations.SENTIMENT_ANNOTATION, Value.value(
            0.5));
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