"content_gl",
        "content_gu",
        "content_he",
        "content_hi",
        "content_hr",
        "content_hu",
        "content_hy",
        "content_id",
        "content_it",
        "content_ja",
        "content_ko",
        "content_lt",
        "content_lv",
        "content_mk",
        "content_ml",
        "content_nl",
        "content_no",

        "content_gl",
        "content_gu",
        "content_he",
        "content_hi",
        "content_hr",
        "content_hu",
        "content_hy",
        "content_id",
        "content_it",
        "content_ja",
        "content_ko",
        "content_lt",
        "content_lv",
        "content_mk",
        "content_ml",
        "content_nl",
        "content_no",

                    final Map<String, Object> contentMap = response.getContent(OpenSearchCurl.jsonParser());
                    if (logger.isDebugEnabled()) {
                        logger.debug("[getParentGroup] Response for id {}: {}", id, contentMap);
                    }
                    if (contentMap.containsKey("value")) {
                        final String[] values = DocumentUtil.getValue(contentMap, "value", String[].class);

During crawling and indexing, Fess:

1. Detects language from document content using Apache Tika
2. Validates against `supported.languages` list
3. Creates language-specific fields (e.g., `content_ja`, `title_en`, `content_sv`)
4. Applies language-specific analyzers for better search results

Configured in `fess_config.properties`:
```properties
indexer.language.fields=content,important_content,title
```

        // Test with Japanese characters
        String word = "日本語テスト";
        float boost = 2.0f;
        List<String> readings = Arrays.asList("ニホンゴテスト");
        List<String> fields = Arrays.asList("content_ja");
        List<String> tags = Arrays.asList("japanese");
        List<String> roles = Arrays.asList("admin");

        elevateWord = new ElevateWord(word, boost, readings, fields, tags, roles);

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