Here is a link if you are interested:
http://sujitpal.blogspot.com/2011/08/implementing-concordance-with-lucene.html

Thanks again for this great example.
I am trying to build code with allows me to do same with exact “phrase” match. Is there any way to get word around a phrase? Or at least start end end position of a phrase?

Thanks a lot Grant!!

P.S.: works with every lucene package from 2.4.1 to 3.0.1

package com.lucidimagination.noodles;
/**
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF 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 under the License.
 */

import org.apache.lucene.store.RAMDirectory;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.Term;
import org.apache.lucene.index.IndexReader;
import org.apache.lucene.index.TermVectorMapper;
import org.apache.lucene.index.TermVectorOffsetInfo;
import org.apache.lucene.analysis.standard.StandardAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.document.Field;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.TopDocs;
import org.apache.lucene.search.ScoreDoc;
import org.apache.lucene.search.spans.SpanTermQuery;
import org.apache.lucene.search.spans.Spans;
import org.apache.lucene.util.Version;

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

/**
 * This class is for demonstration purposes only.  No warranty, guarantee, etc. is implied.
 *

 * This is not production quality code!
 */
public class TermVectorFun {
  public static String[] DOCS = {
          "The quick red fox jumped over the lazy brown dogs.",
          "Mary had a little lamb whose fleece was white as snow.",
          "Moby Dick is a story of a whale and a man obsessed.",
          "The robber wore a black fleece jacket and a baseball cap.",
          "The English Springer Spaniel is the best of all dogs."
  };

  public static void main(String[] args) throws IOException {
    RAMDirectory ramDir = new RAMDirectory();
    //Index some made up content
    IndexWriter writer = new IndexWriter(ramDir, new StandardAnalyzer(Version.LUCENE_30), true, IndexWriter.MaxFieldLength.UNLIMITED);
    for (int i = 0; i < DOCS.length; i++) {
      Document doc = new Document();
      Field id = new Field("id", "doc_" + i, Field.Store.YES, Field.Index.NOT_ANALYZED_NO_NORMS);
      doc.add(id);
      //Store both position and offset information
      Field text = new Field("content", DOCS[i], Field.Store.NO, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS_OFFSETS);
      doc.add(text);
      writer.addDocument(doc);
    }
    writer.close();
    //Get a searcher
    IndexSearcher searcher = new IndexSearcher(ramDir);
    // Do a search using SpanQuery
    SpanTermQuery fleeceQ = new SpanTermQuery(new Term("content", "fleece"));
    TopDocs results = searcher.search(fleeceQ, 10);
    for (int i = 0; i < results.scoreDocs.length; i++) {
      ScoreDoc scoreDoc = results.scoreDocs[i];
      System.out.println("Score Doc: " + scoreDoc);
    }
    IndexReader reader = searcher.getIndexReader();
    Spans spans = fleeceQ.getSpans(reader);
    WindowTermVectorMapper tvm = new WindowTermVectorMapper();
    int window = 2;//get the words within two of the match
    while (spans.next() == true) {
      System.out.println("Doc: " + spans.doc() + " Start: " + spans.start() + " End: " + spans.end());
      //build up the window
      tvm.start = spans.start() - window;
      tvm.end = spans.end() + window;
      reader.getTermFreqVector(spans.doc(), "content", tvm);
      for (WindowEntry entry : tvm.entries.values()) {
        System.out.println("Entry: " + entry);
      }
      //clear out the entries for the next round
      tvm.entries.clear();
    }
  }

}

//Not thread-safe
class WindowTermVectorMapper extends TermVectorMapper {

  int start;
  int end;
  LinkedHashMap<String, WindowEntry> entries = new LinkedHashMap<String, WindowEntry>();

  public void map(String term, int frequency, TermVectorOffsetInfo[] offsets, int[] positions) {
    for (int i = 0; i < positions.length; i++) {//unfortunately, we still have to loop over the positions
      //we'll make this inclusive of the boundaries
      if (positions[i] >= start && positions[i] < end) {
        WindowEntry entry = entries.get(term);
        if (entry == null) {
          entry = new WindowEntry(term);
          entries.put(term, entry);
        }
        entry.positions.add(positions[i]);
      }
    }
  }

  public void setExpectations(String field, int numTerms, boolean storeOffsets, boolean storePositions) {
    // do nothing for this example
    //See also the PositionBasedTermVectorMapper.
  }

}

class WindowEntry {
  String term;
  List<Integer> positions = new ArrayList<Integer>();//a term could appear more than once w/in a position

  WindowEntry(String term) {
    this.term = term;
  }

  @Override
  public String toString() {
    return "WindowEntry{" +
            "term='" + term + '\'' +
            ", positions=" + positions +
            '}';
  }
}

//—————————————————//

“class WindowTermVectorMapper”
WindowEntry entry = entries.get(term);

–-!> for (WindowEntry entry : tvm.entries.values()) WindowEntry entry = entries.get(term); <!–-

class WindowTermVectorMapper
……

–> for (WindowEntry entry : tvm.entries.values()) WindowEntry entry = entries.get(term); <–

And according exception, “entry” and “entries” are incompatible types.

Unfortunatelly I still have errors in

class WindowTermVectorMapper
………

if (positions[i] >= start
&& positions[i] WindowEntry entry = entries.get(term); for (WindowEntry entry : tvm.entries.values())
{
System.out.println(“Entry: ” + entry);
}
//clear out the entries for the next round
tvm.entries.clear();
}

Maybe it is because of toString() – Overriding in class WindowEntry ??