final boolean apply) {
        final String[] readings;
        if (StringUtil.isBlank(reading)) {
            readings = word.replace("　", TEXT_SEP).replaceAll(TEXT_SEP + "+", TEXT_SEP).split(TEXT_SEP);
        } else {
            readings = reading.replace("　", TEXT_SEP).replaceAll(TEXT_SEP + "+", TEXT_SEP).split(TEXT_SEP);
        }

        final List<String> labelList = new ArrayList<>();
        if (tags != null) {

            super(term, position, startOffset, endOffset, positionIncrement, type, attributes);
        }

        public String getReading() {
            return reading;
        }

        public void setReading(String reading) {
            this.reading = reading;
        }
    }

        queryItems[0] = new SuggestItem(new String[] { "検索", "エンジン" }, readings, new String[] { "content" }, 1, 0, -1, tags, roles, null,
                SuggestItem.Kind.DOCUMENT);

        String[][] readings2 = new String[2][];
        readings2[0] = new String[] { "zenbun", "fuga" };
        readings2[1] = new String[] { "kensaku", "fuga" };
        String[] tags2 = new String[] { "tag3" };

    public void setUserBoost(final float userBoost) {
        this.userBoost = userBoost;
    }

    /**
     * Sets the readings of the suggest item.
     * @param readings The readings to set.
     */
    public void setReadings(final String[][] readings) {
        this.readings = readings;
    }

    /**
     * Sets the fields of the suggest item.
     * @param fields The fields to set.
     */

            final List<String> roles = (List<String>) sourceArray[i].get(ELEVATE_WORD_ROLES);
            if (elevateWord != null && boost != null && readings != null && fields != null) {
                elevateWords[i] =
                        new ElevateWord(elevateWord.toString(), Float.parseFloat(boost.toString()), readings, fields, tags, roles);
            }
        }
        return elevateWords;
    }

    /**
     * Add an elevate word.

        final Map<String, Object> secondLine = new HashMap<>();

        secondLine.put("text", item.getText());

        // reading
        final String[][] readings = item.getReadings();
        for (int i = 0; i < readings.length; i++) {
            secondLine.put("reading_" + i, readings[i]);
        }

        secondLine.put("fields", item.getFields());
        secondLine.put("queryFreq", item.getQueryFreq());

### SuggestItem (Domain Entity)
Location: `src/main/java/org/codelibs/fess/suggest/entity/SuggestItem.java`

Core attributes: `text`, `timestamp`, `queryFreq`, `docFreq`, `userBoost`, `readings`, `tags`, `roles`, `languages`, `kinds`

Kind types: `DOCUMENT`, `QUERY`, `USER`

---

## Development Workflow

### Build Commands

```bash

 * A chain of {@link ReadingConverter} implementations that applies each converter in sequence to generate possible reading variations of a given text.
 * It maintains a list of ReadingConverter instances and iterates through them, applying each converter to the input text and accumulating the results.
 * The chain stops processing when the maximum number of readings is reached.
 */
public class ReadingConverterChain implements ReadingConverter {
    /**

import java.time.Duration;
import java.util.concurrent.TimeUnit;

/**
 * An object that accurately measures <i>elapsed time</i>: the measured duration between two
 * successive readings of "now" in the same process.
 *
 * <p>In contrast, <i>wall time</i> is a reading of "now" as given by a method like
 * {@link System#currentTimeMillis()}, best represented as an {@link java.time.Instant}. Such values

        String[][] readings = new String[1][];
        readings[0] = new String[] { "test" };
        items.add(new SuggestItem(new String[] { "test" }, readings, new String[] { "content" }, 1, 0, -1, new String[] { "tag1" },
                new String[] { SuggestConstants.DEFAULT_ROLE }, null, SuggestItem.Kind.DOCUMENT));