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org.codelibs.elasticsearch.search.suggest.phrase.PhraseSuggester Maven / Gradle / Ivy

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 * Licensed to Elasticsearch under one or more contributor
 * license agreements. See the NOTICE file distributed with
 * this work for additional information regarding copyright
 * ownership. Elasticsearch licenses this file to you under
 * the Apache License, Version 2.0 (the "License"); you may
 * not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing,
 * software distributed under the License is distributed on an
 * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
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package org.codelibs.elasticsearch.search.suggest.phrase;


import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.util.BytesRef;
import org.apache.lucene.util.CharsRefBuilder;
import org.codelibs.elasticsearch.common.io.stream.StreamInput;
import org.codelibs.elasticsearch.common.text.Text;
import org.codelibs.elasticsearch.index.query.QueryParseContext;
import org.codelibs.elasticsearch.search.suggest.Suggest.Suggestion;
import org.codelibs.elasticsearch.search.suggest.Suggest.Suggestion.Entry;
import org.codelibs.elasticsearch.search.suggest.Suggest.Suggestion.Entry.Option;
import org.codelibs.elasticsearch.search.suggest.Suggester;
import org.codelibs.elasticsearch.search.suggest.SuggestionBuilder;
import org.codelibs.elasticsearch.search.suggest.SuggestionSearchContext.SuggestionContext;
import java.io.IOException;

public final class PhraseSuggester extends Suggester {
    private final BytesRef SEPARATOR = new BytesRef(" ");
    public static final PhraseSuggester INSTANCE = new PhraseSuggester();

    private PhraseSuggester() {}

    /*
     * More Ideas:
     *   - add ability to find whitespace problems -> we can build a poor mans decompounder with our index based on a automaton?
     *   - add ability to build different error models maybe based on a confusion matrix?
     *   - try to combine a token with its subsequent token to find / detect word splits (optional)
     *      - for this to work we need some way to defined the position length of a candidate
     *   - phonetic filters could be interesting here too for candidate selection
     */
    @Override
    public Suggestion> innerExecute(String name, PhraseSuggestionContext suggestion,
            IndexSearcher searcher, CharsRefBuilder spare) throws IOException {
        throw new UnsupportedOperationException("querybuilders does not support this operation.");
    }

    @Override
    public SuggestionBuilder innerFromXContent(QueryParseContext context) throws IOException {
        return PhraseSuggestionBuilder.innerFromXContent(context);
    }

    @Override
    public SuggestionBuilder read(StreamInput in) throws IOException {
        return new PhraseSuggestionBuilder(in);
    }
}




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