stroke-dashoffset","stroke-linecap","stroke-linejoin","stroke-miterlimit","stroke-opacity","stroke","stroke-width","style","surfacescale","systemlanguage","tabindex","tablevalues","targetx","targety","transform","transform-origin","text-anchor","text-decoration","text-rendering","textlength","type","u1","u2","unicode","values","viewbox","visibility","version","vert-adv-y","vert-origin-x","vert-origin-y","width","word-spacing","wrap","writing-mode","xchannelselector","ychannelselector","x","x1","...

            "analyzer": "sorani_analyzer"
          }
        }
      },
      {
        "lang_cs": {
          "match": "*_cs",
          "mapping": {
            "type": "text",
            "analyzer": "czech_analyzer"
          }
        }
      },
      {
        "lang_da": {
          "match": "*_da",
          "mapping": {
            "type": "text",
            "analyzer": "danish_analyzer"

        QueryBuilder result = queryCommand.convertWithFieldCheck(fessConfig, context, Constants.DEFAULT_FIELD, "test text", 1.0f,
                (field, boost) -> QueryBuilders.matchQuery(field, "test text").boost(boost),
                (field, text, boost) -> QueryBuilders.matchQuery(field, text).boost(boost));

        // Should build default query
        assertNotNull(result);

            "analyzer": "sorani_analyzer"
          }
        }
      },
      {
        "lang_cs": {
          "match": "*_cs",
          "mapping": {
            "type": "text",
            "analyzer": "czech_analyzer"
          }
        }
      },
      {
        "lang_da": {
          "match": "*_da",
          "mapping": {
            "type": "text",
            "analyzer": "danish_analyzer"

            "analyzer": "sorani_analyzer"
          }
        }
      },
      {
        "lang_cs": {
          "match": "*_cs",
          "mapping": {
            "type": "text",
            "analyzer": "czech_analyzer"
          }
        }
      },
      {
        "lang_da": {
          "match": "*_da",
          "mapping": {
            "type": "text",
            "analyzer": "danish_analyzer"

	<script type="text/javascript" src="${fe:url('/js/jquery-3.7.1.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/popper.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/bootstrap.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/marked.min.js')}"></script>
	<script type="text/javascript" src="${fe:url('/js/purify.min.js')}"></script>

     * @param f The field name.
     * @param text The text to search for.
     * @return The appropriate query builder.
     */
    protected QueryBuilder buildMatchPhraseQuery(final String f, final String text) {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        if (text == null || text.length() != 1

                                        <label class="col-sm-3 text-sm-right col-form-label">_id</label>
                                        <div class="col-sm-9">${f:h(id)}</div>
                                    </div>
                                    <div class="form-group row">
                                        <label for="doc.doc_id" class="col-sm-3 text-sm-right col-form-label">doc_id</label>

    }
    function renderMarkdown(text) {
        if (!text) return '';
        if (typeof marked === 'undefined' || typeof DOMPurify === 'undefined') {
            return escapeHtml(text);
        }
        initMarkdownSanitizer();
        // breaks: true to match server-side softbreak("<br/>")
        var html = marked.parse(text, { gfm: true, breaks: true });

                                                <th class="text-center" style="width: 10%"><la:message
                                                        key="labels.suggest_word_number"/></th>
                                                <th class="text-center" style="width: 20%"></th>
                                            </tr>
                                            </thead>