How to use

org.apache.lucene.analysis.ngram.NGramTokenFilter

constructor

 @Override
 public TokenFilter create(TokenStream input) {
  return new NGramTokenFilter(input, minGramSize, maxGramSize, preserveOriginal);
 }
}

  @Override
  protected TokenStreamComponents wrapComponents(String fieldName, TokenStreamComponents components) {
    return new TokenStreamComponents(components.getTokenizer(),
      new NGramTokenFilter(components.getTokenStream(),
        this.min, this.max));
  }
}

  @Override
  public TokenStream create(TokenStream tokenStream) {
    return new NGramTokenFilter(tokenStream, minGram, maxGram);
  }
}

  @Override
  public TokenStream create(TokenStream tokenStream, Version version) {
    return new NGramTokenFilter(tokenStream);
  }
},

 public NGramTokenFilter create(TokenStream input) {
  return new NGramTokenFilter(input, minGramSize, maxGramSize);
 }
}

@Override
public TokenStream create(TokenStream tokenStream) {
  return new NGramTokenFilter(tokenStream, minGram, maxGram);
}

 @Override
 public TokenFilter create(TokenStream input) {
  if (luceneMatchVersion.onOrAfter(Version.LUCENE_4_4_0)) {
   return new NGramTokenFilter(input, minGramSize, maxGramSize);
  }
  return new Lucene43NGramTokenFilter(input, minGramSize, maxGramSize);
 }
}

            + "Please change the filter name to [ngram] instead.");
  return new NGramTokenFilter(reader);
}));
filters.add(PreConfiguredTokenFilter.singleton("persian_normalization", true, PersianNormalizationFilter::new));