* @param langs the array of languages associated with the search words
     * @return a SuggestItem created from the given search words and associated data
     */
    SuggestItem parseSearchWords(String[] words, String[][] readings, String[] fields, String[] tags, String[] roles, long score,
            ReadingConverter readingConverter, Normalizer normalizer, SuggestAnalyzer analyzer, String[] langs);

    /**

    // Tests for parseSearchWords edge cases
    // ============================================================

    @Test
    public void test_parseSearchWords_emptyArray() throws Exception {
        String[] words = new String[0];
        String[] fields = new String[] { "content" };

        SuggestItem item =

 *
 * <p>Usage example:</p>
 * <pre>
 * {@code
 * DefaultContentsParser parser = new DefaultContentsParser();
 * SuggestItem item = parser.parseSearchWords(words, readings, fields, tags, roles, score, readingConverter, normalizer, analyzer, langs);
 * }
 * </pre>
 *
 * @see ContentsParser
 * @see SuggestItem
 * @see ReadingConverter
 * @see Normalizer

        String[] langs = new String[] { "ja" };

        SuggestAnalyzer analyzer = suggester.settings().analyzer().new DefaultContentsAnalyzer();
        SuggestItem item = defaultContentsParser.parseSearchWords(words, readings, fields, tags, roles, 10, createDefaultReadingConverter(),
                createDefaultNormalizer(), analyzer, langs);

        assertNotNull(item);
        assertEquals("検索 エンジン", item.getText());

            }
            prev = c;
        }
        final String[] words = buf.toString().trim().split(" ");
        try {
            final SuggestItem item =
                    contentsParser.parseSearchWords(words, null, fields, tags, roles, num, readingConverter, normalizer, analyzer, langs);
            if (item == null) {
                return new SuggestIndexResponse(0, 1, null, System.currentTimeMillis() - start);