* @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
     */

     */
    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);

def get_llm_translatable() -> list[str]:
    translatable_langs = []
    langs = get_langs()
    for lang in langs:
        if lang == "en":
            continue
        lang_prompt_path = Path(f"docs/{lang}/llm-prompt.md")
        if lang_prompt_path.exists():
            translatable_langs.append(lang)
    return translatable_langs


@app.command()
def list_llm_translatable() -> list[str]:

            }

            @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()

     * @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()) {

        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);

```

**Optional configurations:**

If you create online help documentation:
```properties
online.help.supported.langs=ja,sv  # Add your language
```

If you have forum support:
```properties
forum.supported.langs=en,ja,sv  # Add your language
```

### 4. Regenerate Auto-Generated Java Classes

	AssertEqual(t, result2, lang)

	DB.Table("langs").Migrator().DropTable(&Language{})
	DB.Table("langs").AutoMigrate(&Language{})

	if err := DB.Table("langs").Save(&lang).Error; err != nil {
		t.Errorf("no error should happen when creating data, but got %v", err)
	}

	var result3 Language
	if err := DB.Table("langs").First(&result3, "code = ?", lang.Code).Error; err != nil || result3.Name != lang.Name {

            throw new IllegalArgumentException("Invalid transliterator ID: " + transliteratorId, e);
        }
    }

    @Override
    public String normalize(final String text, final String field, final String... langs) {
        if (text == null) {
            return null;
        }
        return transliterator.transliterate(text);
    }

            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);
        }