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

 */
package org.codelibs.fess.suggest.normalizer;

public class FullWidthToHalfWidthAlphabetNormalizer implements Normalizer {
    @Override
    public String normalize(final String text, final String field, final String... langs) {
        final char[] chars = new char[text.length()];
        for (int i = 0; i < chars.length; i++) {
            final char c = text.charAt(i);
            if (c >= 'ａ' && c <= 'ｚ') {

            @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;

    SuggestItem parseSearchWords(String[] words, String[][] readings, String[] fields, String[] tags, String roles[], long score,
            ReadingConverter readingConverter, Normalizer normalizer, SuggestAnalyzer analyzer, String[] langs);

    List<SuggestItem> parseQueryLog(QueryLog queryLog, String[] fields, String[] tagFieldNames, String roleFieldName,
            ReadingConverter readingConverter, Normalizer normalizer);