code: package zemberek.apps.ner;
  
  import com.beust.jcommander.Parameter;
  import com.google.common.base.Stopwatch;
  import java.io.PrintWriter;
  import java.nio.charset.StandardCharsets;
  import java.nio.file.Files;
  import java.nio.file.Path;
  import java.util.List;
  import java.util.concurrent.TimeUnit;
  import zemberek.core.io.IOUtil;
  import zemberek.core.logging.Log;
  import zemberek.core.text.TextUtil;
  import zemberek.morphology.TurkishMorphology;
  import zemberek.ner.NerSentence;
  import zemberek.ner.PerceptronNer;
  import zemberek.tokenization.TurkishSentenceExtractor;
  import zemberek.tokenization.TurkishTokenizer;
  
  public class FindNamedEntities extends NerAppBase {
  
    @Parameter(
        names = {"--modelRoot", "-m"},
        required = true,
        description = "Model files root. ")
    public Path modelRoot;
  
    @Parameter(
        names = {"--input", "-i"},
        required = true,
        description = "Input to be processed.")
    public Path inputPath;
  
    @Override
    public String description() {
      return "Finds named entities from a Turkish text file.";
    }
  
    @Override
    public void run() throws Exception {
  
      initializeOutputDir();
      IOUtil.checkDirectoryArgument(modelRoot, "Model Root");
      IOUtil.checkFileArgument(inputPath, "Input File");
  
      Path out = outDir.resolve(inputPath.toFile().getName() + ".ne");
  
      List<String> lines = Files.readAllLines(inputPath, StandardCharsets.UTF_8);
      List<String> sentences = TurkishSentenceExtractor.DEFAULT.fromParagraphs(lines);
  
      Log.info("There are %d lines and about %d sentences", lines.size(), sentences.size());
  
      TurkishMorphology morphology = TurkishMorphology.createWithDefaults();
      PerceptronNer ner = PerceptronNer.loadModel(modelRoot, morphology);
  
      Stopwatch sw = Stopwatch.createStarted();
  
      int tokenCount = 0;
      try (PrintWriter pw = new PrintWriter(out.toFile(), "UTF-8")) {
        for (String sentence : sentences) {
          sentence = TextUtil.normalizeApostrophes(sentence);
          sentence = TextUtil.normalizeQuotesHyphens(sentence);
          sentence = TextUtil.normalizeSpacesAndSoftHyphens(sentence);
          List<String> words = TurkishTokenizer.DEFAULT.tokenizeToStrings(sentence);
          tokenCount += words.size();
          NerSentence result = ner.findNamedEntities(sentence, words);
          pw.println(result.getAsTrainingSentence(annotationStyle));
        }
      }
  
      double secs = sw.elapsed(TimeUnit.MILLISECONDS) / 1000d;
      Log.info("Token count = %s", tokenCount);
      Log.info("File processed in %.4f seconds.", secs);
      Log.info("Speed = %.2f tokens/sec", tokenCount / secs);
  
      Log.info("Result is written in %s", out);
    }
  
    public static void main(String[] args) {
      new FindNamedEntities().execute(args);
    }
  }
  