assertEquals(35L, item.getDocFreq());
        assertEquals(2.0f, item.getUserBoost(), 0.001f);
        assertEquals(2, item.getReadings().length);
        assertArrayEquals(new String[] { "reading1", "reading2" }, item.getReadings()[0]);
        assertArrayEquals(new String[] { "reading3" }, item.getReadings()[1]);
        assertEquals(1, item.getFields().length);
        assertEquals("field1", item.getFields()[0]);

            final List<String> list = new ArrayList<>();
            if (item1.getReadings().length > i) {
                Collections.addAll(list, item1.getReadings()[i]);
            }
            if (item2.getReadings().length > i) {
                for (final String reading : item2.getReadings()[i]) {
                    if (!list.contains(reading)) {
                        list.add(reading);

        assertEquals(word, elevateWord.getElevateWord());
        assertEquals("ニホンゴテスト", elevateWord.getReadings().get(0));

        SuggestItem suggestItem = elevateWord.toSuggestItem();
        assertEquals(word, suggestItem.getText());
        assertArrayEquals(new String[] { "ニホンゴテスト" }, suggestItem.getReadings()[0]);
    }

    @Test
    public void testWithEmptyWord() {
        // Test with empty word string

                        // Simulate Japanese reading conversion
                        testToken.setReading(convertToJapaneseReading(testToken.getTerm()));
                    } else {
                        // Default: uppercase for reading
                        testToken.setReading(testToken.getTerm().toUpperCase());
                    }
                }
            }

            return tokens;

                    if (elevateWord == null) {
                        elevateWord = new ElevateWord();
                        elevateWord.setSuggestWord(suggestWord);
                        elevateWord.setReading(reading);
                        elevateWord.setPermissions(permissions);
                        elevateWord.setBoost(StringUtil.isBlank(boost) ? 1.0f : Float.parseFloat(boost));

            result.setCreatedTime(DfTypeUtil.toLong(source.get("createdTime")));
            result.setPermissions(toStringArray(source.get("permissions")));
            result.setReading(DfTypeUtil.toString(source.get("reading")));
            result.setSuggestWord(DfTypeUtil.toString(source.get("suggestWord")));
            result.setUpdatedBy(DfTypeUtil.toString(source.get("updatedBy")));

                "permissions");
        setupEpg(_epgMap, et -> ((ElevateWord) et).getReading(), (et, vl) -> ((ElevateWord) et).setReading(DfTypeUtil.toString(vl)),
                "reading");
        setupEpg(_epgMap, et -> ((ElevateWord) et).getSuggestWord(), (et, vl) -> ((ElevateWord) et).setSuggestWord(DfTypeUtil.toString(vl)),
                "suggestWord");

        final Map<String, Object> secondLine = new HashMap<>();

        secondLine.put("text", item.getText());

        // reading
        final String[][] readings = item.getReadings();
        for (int i = 0; i < readings.length; i++) {
            secondLine.put("reading_" + i, readings[i]);
        }

        secondLine.put("fields", item.getFields());

        final String normalizedWord = normalizer.normalize(elevateWord.getElevateWord(), "");
        final List<String> normalizedReadings =
                elevateWord.getReadings().stream().map(reading -> normalizer.normalize(reading, "")).collect(Collectors.toList());
        final ElevateWord normalized = new ElevateWord(normalizedWord, elevateWord.getBoost(), normalizedReadings, elevateWord.getFields(),