NormalizerChain chain = new NormalizerChain();
        Normalizer normalizer1 = (text, field, langs) -> text + "-1";
        Normalizer normalizer2 = (text, field, langs) -> text + "-2";
        Normalizer normalizer3 = (text, field, langs) -> text + "-3";

        chain.add(normalizer1);
        chain.add(normalizer2);
        chain.add(normalizer3);

        final ReadingConverter converter;
        if (langs == null || langs.length == 0) {
            converter = new LangAnalyzerConverter(null);
        } else {
            final ReadingConverterChain chain = new ReadingConverterChain();
            for (final String lang : langs) {
                chain.addConverter(new LangAnalyzerConverter(lang));

    public String normalize(final String text, final String field, final String... langs) {
        final Normalizer normalizer;
        if (langs == null || langs.length == 0) {
            normalizer = new LangAnalyzerNormalizer(null);
        } else {
            final NormalizerChain chain = new NormalizerChain();
            for (final String lang : langs) {
                chain.add(new LangAnalyzerNormalizer(lang));
            }

        // Test convert with null languages
        String text = "test text";
        String field = "content";
        String[] langs = null;

        List<String> results = converter.convert(text, field, langs);

        assertNotNull(results);
        // Results may vary based on analyzer configuration
    }

    @Test

     * @param normalizer the normalizer to use for normalizing the search words
     * @param analyzer the analyzer to use for analyzing the search words
     * @param langs the array of languages associated with the search words
     * @return a SuggestItem created from the given search words and associated data
     */

     * @param roles The roles.
     * @param num The number.
     * @param langs The languages.
     * @return The SuggestIndexResponse.
     */
    public SuggestIndexResponse indexFromSearchWord(final String searchWord, final String[] fields, final String[] tags,
            final String[] roles, final int num, final String[] langs) {
        if (logger.isDebugEnabled()) {

     */
    public FullWidthToHalfWidthAlphabetNormalizer() {
        // nothing
    }

    @Override
    public String normalize(final String text, final String field, final String... langs) {
        if (text == null) {
            return null;
        }
        final char[] chars = new char[text.length()];
        for (int i = 0; i < chars.length; i++) {
            final char c = text.charAt(i);

            @Override
            public void init() throws IOException {

            }

            @Override
            public List<String> convert(String text, final String field, String... langs) throws IOException {
                return null;
            }
        };

        final Normalizer normalizer = (text, field, lang) -> null;

        final Suggester suggester = Suggester.builder()

        String[] roles = new String[] { "role1" };
        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);

            String[] langs = (String[]) propMap.get(QUERY_DEFAULT_LANGUAGES);
            if (langs == null) {
                langs = split(getQueryDefaultLanguages(), ",").get(stream -> stream.map(String::trim).toArray(n -> new String[n]));
                propMap.put(QUERY_DEFAULT_LANGUAGES, langs);

            }
            return normalizeQueryLanguages(langs);
        }