protected final String contentsAnalyzer;
        /** Contents reading analyzer name. */
        protected final String contentsReadingAnalyzer;

        /**
         * Constructor.
         * @param readingAnalyzer Reading analyzer name
         * @param readingTermAnalyzer Reading term analyzer name
         * @param normalizeAnalyzer Normalize analyzer name
         * @param contentsAnalyzer Contents analyzer name

import org.codelibs.fess.suggest.normalizer.ICUNormalizer;

// Configure custom settings
SuggestSettings settings = SuggestSettings.builder()
    .analyzer(analyzers -> {
        // Configure custom analyzers
        analyzers.addAnalyzer("custom", customAnalyzerSettings);
    })
    .build();

Suggester customSuggester = Suggester.builder()
    .settings(settings)

For search/index analyzer, if [doc.json](https://github.com/codelibs/fess/blob/master/src/main/resources/fess_indices/fess/doc.json) contains lang\_[lang] for your language, please modify the analyzer for your language. For more details about Analyzers, see the [OpenSearch documentation](https://opensearch.org/docs/latest/analyzers/search-analyzers/).

We welcome pull requests for your language.

                .put("analysis.analyzer.test_reading_analyzer_ja.type", "custom")
                .put("analysis.analyzer.test_reading_analyzer_ja.tokenizer", "keyword")
                .put("analysis.analyzer.test_reading_term_analyzer_ja.type", "custom")
                .put("analysis.analyzer.test_reading_term_analyzer_ja.tokenizer", "keyword")
                .build();

 *   <li>{@link #analyzerSettings}: The settings for the analyzer.</li>
 *   <li>{@link #transliterator}: The transliterator used to convert between Hiragana and Katakana.</li>
 * </ul>
 */
public class AnalyzerConverter implements ReadingConverter {
    /** OpenSearch client. */
    protected final Client client;
    private final SuggestSettings settings;
    /** Analyzer settings. */
    protected final AnalyzerSettings analyzerSettings;

			<groupId>junit</groupId>
			<artifactId>junit</artifactId>
			<version>${junit.version}</version>
			<scope>test</scope>
		</dependency>
		<dependency>
			<groupId>org.codelibs</groupId>
			<artifactId>analyzers</artifactId>
			<version>${lucene.version}.0</version>
			<scope>test</scope>
		</dependency>
		<dependency>
			<groupId>org.apache.lucene</groupId>
			<artifactId>lucene-analysis-kuromoji</artifactId>

        // Test that multiple analyzer instances work independently
        SuggestAnalyzer analyzer1 = new TestSuggestAnalyzer();
        SuggestAnalyzer analyzer2 = new TestSuggestAnalyzer();

        String text = "test text";
        String field = "content";
        String lang = "en";

        List<AnalyzeToken> tokens1 = analyzer1.analyze(text, field, lang);

     * @param langs Languages
     * @param analyzer Analyzer
     * @return True if the search word is excluded
     */
    protected boolean isExcludeSearchword(final String searchWord, final String field, final String[] langs,
            final SuggestAnalyzer analyzer) {
        if (langs == null || langs.length == 0) {
            final List<AnalyzeToken> tokens = analyzer.analyze(searchWord, "", null);

        assertTrue(analyzerNames.contains(settings.analyzer().getNormalizeAnalyzerName("", "")));

        for (final String lang : settings.analyzer().SUPPORTED_LANGUAGES) {
            assertTrue(analyzerNames.contains(settings.analyzer().getContentsAnalyzerName("", lang)));
            assertTrue(analyzerNames.contains(settings.analyzer().getContentsReadingAnalyzerName("", lang)));

import java.util.List;

import org.codelibs.fess.suggest.settings.AnalyzerSettings;
import org.codelibs.fess.suggest.settings.SuggestSettings;
import org.opensearch.action.admin.indices.analyze.AnalyzeAction;
import org.opensearch.action.admin.indices.analyze.AnalyzeAction.AnalyzeToken;
import org.opensearch.transport.client.Client;

/**
 * AnalyzerNormalizer is a class that implements the Normalizer interface.