}
        }
      },
      {
        "lang_cs": {
          "match": "*_cs",
          "mapping": {
            "type": "text",
            "analyzer": "czech_analyzer"
          }
        }
      },
      {
        "lang_da": {
          "match": "*_da",
          "mapping": {
            "type": "text",
            "analyzer": "danish_analyzer"
          }
        }

          }
        }
      },
      {
        "lang_cs": {
          "match": "*_cs",
          "mapping": {
            "type": "text",
            "analyzer": "czech_analyzer"
          }
        }
      },
      {
        "lang_da": {
          "match": "*_da",
          "mapping": {
            "type": "text",
            "analyzer": "danish_analyzer"
          }
        }

        document.put("title", "タイトル");

        SuggestAnalyzer analyzer = suggester.settings().analyzer().new DefaultContentsAnalyzer();
        List<SuggestItem> items = defaultContentsParser.parseDocument(document, supportedFields, tagFieldNames, roleFieldName, "lang",
                createDefaultReadingConverter(), createDefaultReadingConverter(), createDefaultNormalizer(), analyzer);

        assertNotNull(items);

          }
        }
      },
      {
        "lang_cs": {
          "match": "*_cs",
          "mapping": {
            "type": "text",
            "analyzer": "czech_analyzer"
          }
        }
      },
      {
        "lang_da": {
          "match": "*_da",
          "mapping": {
            "type": "text",
            "analyzer": "danish_analyzer"
          }
        }

    }

    /**
     * Analyze text.
     * @param analyzer Analyzer
     * @param field Field
     * @param text Text
     * @param lang Language
     * @return List of tokens
     */
    protected List<AnalyzeToken> analyzeText(final SuggestAnalyzer analyzer, final String field, final String text, final String lang) {
        return analyzeTextInternal(analyzer, field, text, lang, false);
    }

    /**

        protected final String contentsAnalyzer;
        /** Contents reading analyzer name. */
        protected final String contentsReadingAnalyzer;

        /**
         * Constructor.
         * @param readingAnalyzer Reading analyzer name
         * @param readingTermAnalyzer Reading term analyzer name
         * @param normalizeAnalyzer Normalize analyzer name
         * @param contentsAnalyzer Contents analyzer name

        assertNotNull(tokensContent);
        assertEquals(2, tokensContent.size());

        List<AnalyzeToken> tokensTitle = analyzer.analyze(text, "title", lang);
        assertNotNull(tokensTitle);
        assertEquals(2, tokensTitle.size());

        // Test with null field
        List<AnalyzeToken> tokensNull = analyzer.analyze(text, null, lang);
        assertNotNull(tokensNull);

        this.defaultField = defaultField;
    }

    /**
     * Sets the analyzer used to analyze query terms.
     *
     * @param analyzer the analyzer to use
     */
    public void setAnalyzer(final Analyzer analyzer) {
        this.analyzer = analyzer;
    }

    /**
     * Sets whether to allow leading wildcards in query terms.
     *

 *
 * <p>Usage example:</p>
 * <pre>
 * PomMemoryAnalyzer analyzer = new PomMemoryAnalyzer();
 * Model model = reader.read(Files.newInputStream(pomPath));
 * analyzer.analyzePom(model);
 * analyzer.printAnalysis();
 * </pre>
 *
 * <p>The analysis output includes:</p>
 * <ul>
 *   <li>Total memory usage per POM path</li>
 *   <li>Potential memory savings through string deduplication</li>

                .put("analysis.analyzer.test_reading_analyzer.type", "custom")
                .put("analysis.analyzer.test_reading_analyzer.tokenizer", "standard")
                .put("analysis.analyzer.test_reading_term_analyzer.type", "custom")
                .put("analysis.analyzer.test_reading_term_analyzer.tokenizer", "standard")
                .put("analysis.analyzer.test_reading_analyzer_ja.type", "custom")