code: package zemberek.scratchpad;
  
  import java.io.IOException;
  import java.nio.charset.Charset;
  import java.nio.charset.StandardCharsets;
  import java.nio.file.Files;
  import java.nio.file.Path;
  import java.nio.file.Paths;
  import java.util.ArrayList;
  import java.util.HashSet;
  import java.util.List;
  import java.util.Set;
  import java.util.stream.Collectors;
  import zemberek.core.collections.Histogram;
  import zemberek.core.io.Strings;
  import zemberek.core.turkish.PrimaryPos;
  import zemberek.core.turkish.SecondaryPos;
  import zemberek.corpus.WebCorpus;
  import zemberek.corpus.WebDocument;
  import zemberek.normalization.deasciifier.Deasciifier;
  import zemberek.langid.LanguageIdentifier;
  import zemberek.core.turkish.Turkish;
  import zemberek.morphology.TurkishMorphology;
  import zemberek.morphology.analysis.SentenceAnalysis;
  import zemberek.morphology.analysis.SentenceWordAnalysis;
  import zemberek.morphology.analysis.SingleAnalysis;
  import zemberek.tokenization.TurkishSentenceExtractor;
  import zemberek.tokenization.TurkishTokenizer;
  import zemberek.tokenization.Token;
  
  public class WordHistogram {
  
    private static Path root = Paths.get("/media/data/corpora/word-freq");
  
    public static void convert(Path input, Path output) throws IOException {
      List<String> lines = Files.readAllLines(
          input, Charset.forName("ISO-8859-9"));
      Files.write(output, lines, StandardCharsets.UTF_8);
    }
  
    static List<String> loadChunks(Path input) throws IOException {
  
      List<String> lines = Files.readAllLines(input, StandardCharsets.UTF_8);
      List<String> result = new ArrayList<>();
  
      StringBuilder sb = new StringBuilder();
      for (String line : lines) {
        String reducedLine = line
            .toLowerCase(Turkish.LOCALE)
            .replaceAll("[^a-zöçşğıüâ]", "");
        if (reducedLine.length() < 15) {
          String e = sb.toString();
          if (e.length() > 0) {
            result.add(e);
          }
          sb = new StringBuilder();
          continue;
        }
        String str = line.replaceAll("-$", "").replaceAll("\\s+", " ");
        if (!str.contains("/SAYI") && !str.contains("/ SAYI")) {
          sb.append(str).append(" ");
        }
      }
      if (sb.length() < 20) {
        result.add(sb.toString());
      }
      return result;
    }
  
    static List<String> removeNonTurkish(Path input) throws IOException {
      LanguageIdentifier identifier = LanguageIdentifier.fromInternalModels();
      List<String> chunks = Files.readAllLines(input, StandardCharsets.UTF_8);
  
      return chunks.stream()
          .filter(s -> identifier.identifyFast(s, 200).equalsIgnoreCase("tr"))
          .collect(Collectors.toList());
    }
  
    static List<String> deascify(Path input) throws IOException {
      List<String> chunks = Files.readAllLines(input, StandardCharsets.UTF_8);
      List<String> result = new ArrayList<>();
      TurkishTokenizer tokenizer = TurkishTokenizer.DEFAULT;
      for (String chunk : chunks) {
  
        List<String> words = tokenizer.tokenizeToStrings(chunk);
        String tokenStr = String.join(" ", words);
  
        String withoutSpaces = chunk.replaceAll("\\s+", "");
        String turkishChrs = chunk.replaceAll("[^çÇöÖğĞüÜıİşŞâî]", "");
        double ratio = turkishChrs.length() * 1d / withoutSpaces.length();
        if (ratio < 0.01) {
          result.add(Deasciifier.deasciify(tokenStr));
        } else {
          result.add(chunk);
        }
      }
      return result;
    }
  
    private static List<String> getParagraphsFromCorpus(Path input) throws IOException {
      WebCorpus corpus = new WebCorpus("a", "a");
      corpus.addDocuments(WebCorpus.loadDocuments(input));
      Set<Long> contentHash = new HashSet<>();
  
      List<String> paragraphs = new ArrayList<>(100000);
      for (WebDocument document : corpus.getDocuments()) {
        Long hash = document.getHash();
        if (contentHash.contains(hash)) {
          continue;
        }
        contentHash.add(hash);
        paragraphs.add(document.getContentAsString());
      }
      return paragraphs;
    }
  
    static void stats(List<String> paragraphs) {
      int paragraphCounter = 0;
      int sentenceCounter = 0;
      int tokenCounter = 0;
      int tokenNoPunctCounter = 0;
      int tokenWordCounter = 0;
  
      for (String paragraph : paragraphs) {
        List<String> sentences = TurkishSentenceExtractor.DEFAULT.fromParagraph(paragraph);
        sentenceCounter += sentences.size();
        for (String sentence : sentences) {
          List<Token> tokens = TurkishTokenizer.DEFAULT.tokenize(sentence);
          for (Token token : tokens) {
  
            if (token.getType() != Token.Type.Punctuation) {
              tokenNoPunctCounter++;
            }
  
            if (token.getType() == Token.Type.PercentNumeral ||
                token.getType() == Token.Type.Number ||
                token.getType() == Token.Type.Punctuation ||
                token.getType() == Token.Type.RomanNumeral ||
                token.getType() == Token.Type.Email ||
                token.getType() == Token.Type.HashTag ||
                token.getType() == Token.Type.Emoticon ||
                token.getType() == Token.Type.Time ||
                token.getType() == Token.Type.Date ||
                token.getType() == Token.Type.URL ||
                token.getType() == Token.Type.UnknownWord ||
                token.getType() == Token.Type.Unknown) {
              tokenCounter++;
            } else {
              tokenCounter++;
              tokenWordCounter++;
            }
          }
  
        }
        paragraphCounter++;
        if (paragraphCounter % 1000 == 0) {
          System.out.println(paragraphCounter + " of " + paragraphs.size());
        }
      }
      System.out.println("sentenceCounter = " + sentenceCounter);
      System.out.println("tokenCounter = " + tokenCounter);
      System.out.println("tokenNoPunctCounter = " + tokenNoPunctCounter);
      System.out.println("tokenWordCounter = " + tokenWordCounter);
    }
  
    static void generateHistograms(List<String> paragraphs, Path outRoot) throws IOException {
  
      TurkishMorphology morphology = TurkishMorphology.createWithDefaults();
  
      Histogram<String> roots = new Histogram<>(1000_000);
      Histogram<String> words = new Histogram<>(1000_000);
  
      int paragraphCounter = 0;
      int sentenceCounter = 0;
      int tokenCounter = 0;
  
      for (String paragraph : paragraphs) {
        List<String> sentences = TurkishSentenceExtractor.DEFAULT.fromParagraph(paragraph);
        sentenceCounter += sentences.size();
        for (String sentence : sentences) {
          List<Token> tokens = TurkishTokenizer.DEFAULT.tokenize(sentence);
          tokenCounter += tokens.size();
  
          SentenceAnalysis analysis = morphology.analyzeAndDisambiguate(sentence);
  
          for (SentenceWordAnalysis e : analysis) {
            SingleAnalysis best = e.getBestAnalysis();
            if (best.getPos() == PrimaryPos.Numeral ||
                best.getPos() == PrimaryPos.Punctuation) {
              continue;
            }
            if (best.isUnknown()) {
              continue;
            }
            if (best.isRuntime() &&
                !Strings.containsNone(e.getWordAnalysis().getInput(), "01234567890")) {
              continue;
            }
            List<String> lemmas = best.getLemmas();
            if (lemmas.size() == 0) {
              continue;
            }
  
            roots.add(best.getDictionaryItem().lemma);
  
            String w = e.getWordAnalysis().getInput();
            if (best.getDictionaryItem().secondaryPos != SecondaryPos.ProperNoun) {
              w = w.toLowerCase(Turkish.LOCALE);
            } else {
              w = Turkish.capitalize(w);
            }
            words.add(w);
          }
        }
        paragraphCounter++;
        if (paragraphCounter % 1000 == 0) {
          System.out.println(paragraphCounter + " of " + paragraphs.size());
        }
      }
  
      System.out.println("tokenCounter = " + tokenCounter);
      System.out.println("sentenceCounter = " + sentenceCounter);
      Files.createDirectories(outRoot);
      roots.saveSortedByCounts(outRoot.resolve("roots.freq.txt"), " ");
      roots.saveSortedByKeys(outRoot.resolve("roots.keys.txt"), " ", Turkish.STRING_COMPARATOR_ASC);
      words.saveSortedByCounts(outRoot.resolve("words.freq.txt"), " ");
      words.saveSortedByKeys(outRoot.resolve("words.keys.txt"), " ", Turkish.STRING_COMPARATOR_ASC);
      words.removeSmaller(10);
      words.saveSortedByCounts(outRoot.resolve("words10.freq.txt"), " ");
      words.saveSortedByKeys(outRoot.resolve("words10.keys.txt"), " ", Turkish.STRING_COMPARATOR_ASC);
    }
  
    public static void biligCorpus() throws IOException {
      Path outRoot = root.resolve("bilig");
  
      System.out.println("Generate chunks.");
      List<String> chunks = loadChunks(root.resolve("bilig-corpus.txt"));
      Files.write(outRoot.resolve("chunks.txt"), chunks, StandardCharsets.UTF_8);
  
      System.out.println("Cleaning..");
      List<String> onlyTurkish = removeNonTurkish(outRoot.resolve("chunks.txt"));
      Files.write(outRoot.resolve("chunks-tr.txt"), onlyTurkish, StandardCharsets.UTF_8);
  
      System.out.println("Deacify..");
      List<String> deasc = deascify(outRoot.resolve("chunks-tr.txt"));
      Files.write(outRoot.resolve("chunks-tr-deasc.txt"), deasc, StandardCharsets.UTF_8);
  
      System.out.println("Find roots..");
      Path input = outRoot.resolve("chunks-tr-deasc.txt");
      List<String> paragraphs = Files.readAllLines(input);
      stats(paragraphs);
      generateHistograms(paragraphs, outRoot);
    }
  
    private static void newsCorpus() throws IOException {
      Path outRoot = root.resolve("haber");
      Path input = root.resolve("haber.corpus");
      List<String> paragraphs = getParagraphsFromCorpus(input);
      stats(paragraphs);
      generateHistograms(
          paragraphs,
          outRoot);
    }
  
    private static void subtitleCorpus() throws IOException {
      Path outRoot = root.resolve("subtitle");
      Path input = root.resolve("subtitle.corpus");
      List<String> paragraphs = Files.readAllLines(input);
      stats(paragraphs);
      generateHistograms(
          paragraphs,
          outRoot);
    }
  
    public static void main(String[] args) throws IOException {
      //biligCorpus();
      //newsCorpus();
      subtitleCorpus();
    }
  
  }
  