String[][] readings = new String[1][];
        readings[0] = new String[] { "test" };
        items.add(new SuggestItem(new String[] { "test" }, readings, new String[] { "content" }, 1, 0, -1, new String[] { "tag1" },
                new String[] { SuggestConstants.DEFAULT_ROLE }, null, SuggestItem.Kind.DOCUMENT));

                }
                if (headingText.length() > 0) {
                    headings.add(headingText.toString());
                }
                super.visit(heading);
            }
        });

        if (!headings.isEmpty()) {
            extractData.putValues("headings", headings.toArray(new String[0]));
        }
    }

    /**
     * Extracts link URLs from the document.

    }

    @Test
    public void test_addLanguage() throws Exception {
        SuggestItem[] items = new SuggestItem[1];
        String[][] readings = new String[1][];
        readings[0] = new String[] { "test" };
        items[0] = new SuggestItem(new String[] { "test" }, readings, new String[] { "content" }, 0, 15, -1, new String[] { "tag1" },

        String[][] readings = new String[1][];
        readings[0] = new String[] { "word1" };
        items.add(new SuggestItem(new String[] { "word1" }, readings, new String[] { "content" }, 0, 10, -1, new String[] { "tag1" },
                new String[] { SuggestConstants.DEFAULT_ROLE }, null, SuggestItem.Kind.QUERY));

    /**
     * Analyzes the given text and returns a list of tokens along with their readings.
     *
     * @param text the text to analyze
     * @param field the field associated with the text
     * @param lang the language of the text
     * @return a list of analyzed tokens with their readings
     */
    List<AnalyzeToken> analyzeAndReading(String text, String field, String lang);

        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

    public void setReading_SpanTerm(String reading) {
        setReading_SpanTerm("reading", null);
    }

    public void setReading_SpanTerm(String reading, ConditionOptionCall<SpanTermQueryBuilder> opLambda) {
        SpanTermQueryBuilder builder = regSpanTermQ("reading", reading);

        this.permissions = value;
    }

    public String getReading() {
        checkSpecifiedProperty("reading");
        return convertEmptyToNull(reading);
    }

    public void setReading(String value) {
        registerModifiedProperty("reading");
        this.reading = value;
    }

    public String getSuggestWord() {
        checkSpecifiedProperty("suggestWord");

 * <li>{@link #langFieldName} - Language field name.
 * <li>{@link #badWords} - List of bad words.
 * <li>{@link #parallel} - Flag for parallel processing.
 * <li>{@link #readingConverter} - Reading converter.
 * <li>{@link #contentsReadingConverter} - Contents reading converter.
 * <li>{@link #normalizer} - Normalizer.
 * <li>{@link #analyzer} - Suggest analyzer.
 * <li>{@link #contentsParser} - Contents parser.

                        final String reading = readingList.get(readingCount);
                        if (i + 1 == queries.length && prefixQuery) {
                            readingQueryBuilder.should(QueryBuilders.prefixQuery(fieldName, reading));
                        } else {
                            readingQueryBuilder.should(QueryBuilders.termQuery(fieldName, reading));
                        }
                    }

    public String token;

    /** Segmentation information for the token */
    @Required
    @Size(max = 1000)
    public String segmentation;

    /** Reading (pronunciation) of the token in katakana */
    @Required
    @Size(max = 1000)
    public String reading;

    /** Part of speech tag for the token */
    @Required
    @Size(max = 1000)
    public String pos;

    /**