Package org.apache.stanbol.commons.opennlp.TextAnalyzer

Examples of org.apache.stanbol.commons.opennlp.TextAnalyzer.AnalysedText



    @Test
    public void testSingleSentenceDefaultConfig(){
        TextAnalyzer analyzer = new TextAnalyzer(openNLP,LANGUAGE);
        AnalysedText analysed = analyzer.analyseSentence(SINGLE_SENTENCE);
        assertNotNull(analysed);
        //check the default config
        assertFalse(analyzer.getConfig().isSimpleTokenizerForced());
        assertTrue(analyzer.getConfig().isPosTaggerEnable());
        assertTrue(analyzer.getConfig().isPosTypeChunkerEnabled());
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    @Test
    public void testSingleSentenceChunkerConfig(){
        TextAnalyzerConfig config = new TextAnalyzerConfig();
        config.forcePosTypeChunker(false);
        TextAnalyzer analyzer = new TextAnalyzer(openNLP,LANGUAGE,config);
        AnalysedText analysed = analyzer.analyseSentence(SINGLE_SENTENCE);
        assertNotNull(analysed);
        //check the default config
        assertFalse(analyzer.getConfig().isSimpleTokenizerForced());
        assertTrue(analyzer.getConfig().isPosTaggerEnable());
        assertTrue(analyzer.getConfig().isChunkerEnabled());
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    @Test
    public void testSingleSentenceNoChunkerConfig(){
        TextAnalyzerConfig config = new TextAnalyzerConfig();
        config.enableChunker(false);
        TextAnalyzer analyzer = new TextAnalyzer(openNLP,LANGUAGE,config);
        AnalysedText analysed = analyzer.analyseSentence(SINGLE_SENTENCE);
        assertNotNull(analysed);
        //check the default config
        assertFalse(analyzer.getConfig().isSimpleTokenizerForced());
        assertTrue(analyzer.getConfig().isPosTaggerEnable());
        assertFalse(analyzer.getConfig().isChunkerEnabled());
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    public void testSingleSentenceNoChunkerNoPosConfig(){
        TextAnalyzerConfig config = new TextAnalyzerConfig();
        config.enablePosTagger(false);
        config.enableChunker(true);//must be ignored for Chunks if no Pos
        TextAnalyzer analyzer = new TextAnalyzer(openNLP,LANGUAGE,config);
        AnalysedText analysed = analyzer.analyseSentence(SINGLE_SENTENCE);
        assertNotNull(analysed);
        //check the default config
        assertFalse(analyzer.getConfig().isSimpleTokenizerForced());
        assertFalse(analyzer.getConfig().isPosTaggerEnable());
        assertTrue(analyzer.getConfig().isChunkerEnabled());
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        TextAnalyzer analyzer = new TextAnalyzer(openNLP,LANGUAGE);
        Iterator<AnalysedText> analysedSentences = analyzer.analyse(MULTI_SENTENCES);
        assertNotNull(analysedSentences);
        int sentenceCount = 0;
        while(analysedSentences.hasNext()){
            AnalysedText analysed = analysedSentences.next();
            checkSingleSentence(analysed, MULTIPLE_SENTENCE_TOKENS[sentenceCount], true, true);
            sentenceCount++;
        }
        assertTrue(sentenceCount == 3);
    }
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    @Test
    public void testSingleSentenceDefaultConfig(){
        TextAnalyzer analyzer = new TextAnalyzer(openNLP,LANGUAGE);
        AnalysedText analysed = analyzer.analyseSentence(SINGLE_SENTENCE);
        assertNotNull(analysed);
        //check the default config
        assertFalse(analyzer.getConfig().isSimpleTokenizerForced());
        assertTrue(analyzer.getConfig().isPosTaggerEnable());
        assertTrue(analyzer.getConfig().isPosTypeChunkerEnabled());
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    @Test
    public void testSingleSentenceChunkerConfig(){
        TextAnalyzerConfig config = new TextAnalyzerConfig();
        config.forcePosTypeChunker(false);
        TextAnalyzer analyzer = new TextAnalyzer(openNLP,LANGUAGE,config);
        AnalysedText analysed = analyzer.analyseSentence(SINGLE_SENTENCE);
        assertNotNull(analysed);
        //check the default config
        assertFalse(analyzer.getConfig().isSimpleTokenizerForced());
        assertTrue(analyzer.getConfig().isPosTaggerEnable());
        assertTrue(analyzer.getConfig().isChunkerEnabled());
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    @Test
    public void testSingleSentenceNoChunkerConfig(){
        TextAnalyzerConfig config = new TextAnalyzerConfig();
        config.enableChunker(false);
        TextAnalyzer analyzer = new TextAnalyzer(openNLP,LANGUAGE,config);
        AnalysedText analysed = analyzer.analyseSentence(SINGLE_SENTENCE);
        assertNotNull(analysed);
        //check the default config
        assertFalse(analyzer.getConfig().isSimpleTokenizerForced());
        assertTrue(analyzer.getConfig().isPosTaggerEnable());
        assertFalse(analyzer.getConfig().isChunkerEnabled());
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    public void testSingleSentenceNoChunkerNoPosConfig(){
        TextAnalyzerConfig config = new TextAnalyzerConfig();
        config.enablePosTagger(false);
        config.enableChunker(true);//must be ignored for Chunks if no Pos
        TextAnalyzer analyzer = new TextAnalyzer(openNLP,LANGUAGE,config);
        AnalysedText analysed = analyzer.analyseSentence(SINGLE_SENTENCE);
        assertNotNull(analysed);
        //check the default config
        assertFalse(analyzer.getConfig().isSimpleTokenizerForced());
        assertFalse(analyzer.getConfig().isPosTaggerEnable());
        assertTrue(analyzer.getConfig().isChunkerEnabled());
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        TextAnalyzer analyzer = new TextAnalyzer(openNLP,LANGUAGE);
        Iterator<AnalysedText> analysedSentences = analyzer.analyse(MULTI_SENTENCES);
        assertNotNull(analysedSentences);
        int sentenceCount = 0;
        while(analysedSentences.hasNext()){
            AnalysedText analysed = analysedSentences.next();
            checkSingleSentence(analysed, MULTIPLE_SENTENCE_TOKENS[sentenceCount], true, true);
            sentenceCount++;
        }
        assertTrue(sentenceCount == 3);
    }
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