*
     * @param elevateWord the elevate word
     * @param boost the boost value
     * @param readings the list of readings
     * @param fields the list of fields
     * @param tags the list of tags
     * @param roles the list of roles
     */
    public ElevateWord(final String elevateWord, final float boost, final List<String> readings, final List<String> fields,
            final List<String> tags, final List<String> roles) {

     * @param langFieldName The name of the field that contains language information.
     * @param readingConverter The converter to use for reading fields.
     * @param contentsReadingConverter The converter to use for reading content fields.
     * @param normalizer The normalizer to use for normalizing field values.
     * @param analyzer The analyzer to use for analyzing field values.

 * <li>{@link #ANALYZER_SETTINGS_FIELD_NAME} - The analyzer settings field name.</li>
 * <li>{@link #ANALYZER_SETTINGS_READING_ANALYZER} - The reading analyzer settings field.</li>
 * <li>{@link #ANALYZER_SETTINGS_READING_TERM_ANALYZER} - The reading term analyzer settings field.</li>
 * <li>{@link #ANALYZER_SETTINGS_NORMALIZE_ANALYZER} - The normalize analyzer settings field.</li>

import java.io.IOException;
import java.util.List;

/**
 * Interface for converting text into its reading form.
 */
public interface ReadingConverter {

    /**
     * Returns the maximum number of readings.
     *
     * @return the maximum number of readings, default is 10.
     */
    default int getMaxReadingNum() {
        return 10;
    }

    /**

    /** Key for elevate word boost. */
    public static final String ELEVATE_WORD_BOOST = "boost";
    /** Key for elevate word reading. */
    public static final String ELEVATE_WORD_READING = "reading";
    /** Key for elevate word fields. */
    public static final String ELEVATE_WORD_FIELDS = "fields";
    /** Key for elevate word tags. */

                    final String term = termTokenList.get(i).getTerm();
                    String reading = readingTokenList.get(i).getTerm();
                    if (Strings.isNullOrEmpty(reading)) {
                        reading = term;
                    }
                    reading = transliterator.transliterate(reading);

                    final int pos = text.indexOf(term, offset);
                    if (pos > 0) {

    }

    /**
     * Sets the reading converter.
     * @param readingConverter The reading converter.
     * @return This builder instance.
     */
    public SuggesterBuilder readingConverter(final ReadingConverter readingConverter) {
        this.readingConverter = readingConverter;
        return this;
    }

    /**
     * Sets the contents reading converter.

 * 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 {
    /**

 */
package org.codelibs.fess.suggest.index.contents.document;

import java.io.Closeable;
import java.util.Map;

/**
 * Interface for reading documents and extracting their contents into a map.
 * Implementations of this interface should provide the logic for reading
 * documents and converting them into a key-value structure.
 *
 * <p>This interface extends {@link java.io.Closeable}, so implementations

                    continue;
                }

                String reading = getReadingFromAttribute(stream);
                if (Strings.isNullOrEmpty(reading)) {
                    reading = transliterator.transliterate(att.toString());
                }
                kanaBuf.append(reading);
                offset += term.length();
            }
        }