Package edu.stanford.nlp.international.spanish.process

Source Code of edu.stanford.nlp.international.spanish.process.SpanishTokenizer$SpanishTokenizerFactory

package edu.stanford.nlp.international.spanish.process;

import java.io.IOException;
import java.io.InputStreamReader;
import java.io.Reader;
import java.io.Serializable;
import java.io.UnsupportedEncodingException;
import java.util.Iterator;
import java.util.List;
import java.util.Locale;
import java.util.Map;
import java.util.Properties;

import edu.stanford.nlp.io.RuntimeIOException;
import edu.stanford.nlp.ling.CoreAnnotations.OriginalTextAnnotation;
import edu.stanford.nlp.ling.CoreLabel;
import edu.stanford.nlp.ling.HasWord;
import edu.stanford.nlp.ling.CoreAnnotations.ParentAnnotation;
import edu.stanford.nlp.ling.Word;
import edu.stanford.nlp.process.TokenizerFactory;
import edu.stanford.nlp.process.AbstractTokenizer;
import edu.stanford.nlp.process.CoreLabelTokenFactory;
import edu.stanford.nlp.process.LexedTokenFactory;
import edu.stanford.nlp.process.Tokenizer;
import edu.stanford.nlp.process.WordTokenFactory;
import edu.stanford.nlp.util.Generics;
import edu.stanford.nlp.util.PropertiesUtils;
import edu.stanford.nlp.util.StringUtils;
import edu.stanford.nlp.util.Pair;
import edu.stanford.nlp.international.spanish.SpanishVerbStripper;

/**
* Tokenizer for raw Spanish text. This tokenization scheme is a derivative
* of PTB tokenization, but with extra rules for Spanish contractions and
* assimilations. It is based heavily on the FrenchTokenizer.
* <p>
* The tokenizer tokenizes according to the modified AnCora corpus tokenization
* standards, so the rules are a little different from PTB.
* </p>
* <p>
* A single instance of a Spanish Tokenizer is not thread safe, as it
* uses a non-threadsafe JFlex object to do the processing.  Multiple
* instances can be created safely, though.  A single instance of a
* SpanishTokenizerFactory is also not thread safe, as it keeps its
* options in a local variable.
* </p>
*
* @author Ishita Prasad
*/
public class SpanishTokenizer<T extends HasWord> extends AbstractTokenizer<T> {

  // The underlying JFlex lexer
  private final SpanishLexer lexer;

  // Internal fields compound splitting
  private final boolean splitCompounds;
  private final boolean splitVerbs;
  private final boolean splitContractions;
  private final boolean splitAny;
  private List<CoreLabel> compoundBuffer;
  private SpanishVerbStripper verbStripper;

  // Produces the tokenization for parsing used by AnCora (fixed) */
  public static final String ANCORA_OPTS = "ptb3Ellipsis=true,normalizeParentheses=true,ptb3Dashes=false,splitAll=true";

  /**
   * Constructor.
   *
   * @param r
   * @param tf
   * @param lexerProperties
   * @param splitCompounds
   */
  public SpanishTokenizer(Reader r, LexedTokenFactory<T> tf, Properties lexerProperties, boolean splitCompounds, boolean splitVerbs, boolean splitContractions) {
    lexer = new SpanishLexer(r, tf, lexerProperties);
    this.splitCompounds = splitCompounds;
    this.splitVerbs = splitVerbs;
    this.splitContractions = splitContractions;
    this.splitAny = (splitCompounds || splitVerbs || splitContractions);

    if (splitAny) compoundBuffer = Generics.newLinkedList();
    verbStripper = SpanishVerbStripper.getInstance();
  }

  @Override
  @SuppressWarnings("unchecked")
  protected T getNext() {
    try {
      T nextToken = null;
      // Depending on the orthographic normalization options,
      // some tokens can be obliterated. In this case, keep iterating
      // until we see a non-zero length token.
      do {
    nextToken = (splitAny && compoundBuffer.size() > 0) ?
        (T) compoundBuffer.remove(0) :
              (T) lexer.next();
      } while (nextToken != null && nextToken.word().length() == 0);

      // Check for compounds to split
      if (splitAny && nextToken instanceof CoreLabel) {
        CoreLabel cl = (CoreLabel) nextToken;
  if (cl.containsKey(ParentAnnotation.class)) {
      if(splitCompounds && cl.get(ParentAnnotation.class).equals(SpanishLexer.COMPOUND_ANNOTATION))
    nextToken = (T) processCompound(cl);
      else if (splitVerbs && cl.get(ParentAnnotation.class).equals(SpanishLexer.VB_PRON_ANNOTATION))
    nextToken = (T) processVerb(cl);
      else if (splitContractions && cl.get(ParentAnnotation.class).equals(SpanishLexer.CONTR_ANNOTATION))
    nextToken = (T) processContraction(cl);
  }
      }

      return nextToken;

    } catch (IOException e) {
      throw new RuntimeIOException(e);
    }
  }


  /* Copies the CoreLabel cl with the new word part */
  private CoreLabel copyCoreLabel(CoreLabel cl, String part) {
      CoreLabel newLabel = new CoreLabel(cl);
      newLabel.setWord(part);
      newLabel.setValue(part);
      newLabel.set(OriginalTextAnnotation.class, part);
      return newLabel;
  }

  /**
   * Handles contractions like del and al, marked by the lexer
   *
   * del => de + l => de + el
   * al => a + l => a + el
   * con[mts]igo => con + [mts]i
   *
   */
  private CoreLabel processContraction(CoreLabel cl) {
    cl.remove(ParentAnnotation.class);
    String word = cl.word();
    String first;
    String second;

    String lowered = word.toLowerCase();
    if (lowered.equals("del") || lowered.equals("al")) {
      first = word.substring(0, lowered.length() - 1);
      char lastChar = word.charAt(lowered.length() - 1);
      if (Character.isLowerCase(lastChar))
        second = "el";
      else second = "EL";
    } else if (lowered.equals("conmigo") || lowered.equals("consigo")) {
      first = word.substring(0, 3);
      second = word.charAt(3) + "í";
    } else if (lowered.equals("contigo")) {
      first = word.substring(0, 3);
      second = word.substring(3, 5);
    } else {
      throw new IllegalArgumentException("Invalid contraction provided to processContraction");
    }
  
    compoundBuffer.add(copyCoreLabel(cl, second));
    return copyCoreLabel(cl, first);
  }

  /**
   * Handles verbs with attached suffixes, marked by the lexer:
   *
   * Escribamosela => Escribamo + se + la => escribamos + se + la
   * Sentaos => senta + os => sentad + os
   * Damelo => da + me + lo
   *
   */
  private CoreLabel processVerb(CoreLabel cl) {
    cl.remove(ParentAnnotation.class);
    Pair<String, List<String>> parts = verbStripper.separatePronouns(cl.word());
      if (parts == null)
        return cl;
    for(String pronoun : parts.second())
      compoundBuffer.add(copyCoreLabel(cl, pronoun));
    return copyCoreLabel(cl, parts.first());
  }

  /**
   * Splits a compound marked by the lexer.
   */
  private CoreLabel processCompound(CoreLabel cl) {
    cl.remove(ParentAnnotation.class);
    String[] parts = cl.word().replaceAll("\\-", " - ").split("\\s+");
    for (String part : parts) {
      CoreLabel newLabel = new CoreLabel(cl);
      newLabel.setWord(part);
      newLabel.setValue(part);
      newLabel.set(OriginalTextAnnotation.class, part);
      compoundBuffer.add(newLabel);
    }
    return compoundBuffer.remove(0);
  }

  /**
   * a factory that vends CoreLabel tokens with default tokenization.
   */
  public static TokenizerFactory<CoreLabel> coreLabelFactory() {
    return SpanishTokenizerFactory.newCoreLabelTokenizerFactory();
  }

  /**
   * recommended factory method
   */
  public static <T extends HasWord> TokenizerFactory<T> factory(LexedTokenFactory<T> factory, String options) {
    return new SpanishTokenizerFactory<T>(factory, options);
  }

  public static <T extends HasWord> TokenizerFactory<T> factory(LexedTokenFactory<T> factory) {
    return new SpanishTokenizerFactory<T>(factory, ANCORA_OPTS);
  }

  /**
   * A factory for Spanish tokenizer instances.
   *
   * @author Spence Green
   *
   * @param <T>
   */
  public static class SpanishTokenizerFactory<T extends HasWord> implements TokenizerFactory<T>, Serializable  {

    private static final long serialVersionUID = 946818805507187330L;

    protected final LexedTokenFactory<T> factory;
    protected Properties lexerProperties = new Properties();

    protected boolean splitCompoundOption = false;
    protected boolean splitVerbOption = false;
    protected boolean splitContractionOption = false;

    public static TokenizerFactory<CoreLabel> newCoreLabelTokenizerFactory() {
      return new SpanishTokenizerFactory<CoreLabel>(new CoreLabelTokenFactory(), ANCORA_OPTS);
    }


    /**
     * Contructs a new SpanishTokenizer that returns T objects and uses the options passed in.
     *
     * @param options a String of options, separated by commas
     * @return A TokenizerFactory that returns the right token types
     * @oaram factory a factory for the token type that the tokenizer will return
     */
    public static <T extends HasWord> SpanishTokenizerFactory<T> newSpanishTokenizerFactory(
      LexedTokenFactory<T> factory, String options) {
      return new SpanishTokenizerFactory<T>(factory, options);
    }


    // Constructors

    /** Make a factory for SpanishTokenizers, default options */
    private SpanishTokenizerFactory(LexedTokenFactory<T> factory) {
      this.factory = factory;
      setOptions(ANCORA_OPTS);
    }

    /** Make a factory for SpanishTokenizers, options passed in */
    private SpanishTokenizerFactory(LexedTokenFactory<T> factory, String options) {
      this.factory = factory;
      setOptions(options);
    }


    @Override
    public Iterator<T> getIterator(Reader r) {
      return getTokenizer(r);
    }

    @Override
    public Tokenizer<T> getTokenizer(Reader r) {
  return new SpanishTokenizer<T>(r, factory, lexerProperties, splitCompoundOption, splitVerbOption, splitContractionOption);
    }

    /**
     * Set underlying tokenizer options.
     *
     * @param options A comma-separated list of options
     */
    @Override
    public void setOptions(String options) {
      if (options == null) return;

      String[] optionList = options.split(",");
      for (String option : optionList) {
        String[] fields = option.split("=");
        if (fields.length == 1) {
          if (fields[0].equals("splitAll")) {
            splitCompoundOption = true;
            splitVerbOption = true;
            splitContractionOption = true;
          } else if (fields[0].equals("splitCompounds")) {
            splitCompoundOption = true;
          } else if (fields[0].equals("splitVerbs")) {
            splitVerbOption = true;
          } else if (fields[0].equals("splitContractions")) {
            splitContractionOption = true;
          } else {
            lexerProperties.put(option, "true");
          }

        } else if (fields.length == 2) {
          if (fields[0].equals("splitAll")) {
            splitCompoundOption = Boolean.valueOf(fields[1]);
            splitVerbOption = Boolean.valueOf(fields[1]);
            splitContractionOption = Boolean.valueOf(fields[1]);
          } else if (fields[0].equals("splitCompounds")) {
            splitCompoundOption = Boolean.valueOf(fields[1]);
          } else if (fields[0].equals("splitVerbs")) {
            splitVerbOption = Boolean.valueOf(fields[1]);
          } else if (fields[0].equals("splitContractions")) {
            splitContractionOption = Boolean.valueOf(fields[1]);
          } else {
            lexerProperties.put(fields[0], fields[1]);
          }

        } else {
          System.err.printf("%s: Bad option %s%n", this.getClass().getName(), option);
        }
      }
    }

    @Override
    public Tokenizer<T> getTokenizer(Reader r, String extraOptions) {
      setOptions(extraOptions);
      return getTokenizer(r);
    }

  } // end static class SpanishTokenizerFactory



  private static String usage() {
    StringBuilder sb = new StringBuilder();
    String nl = System.getProperty("line.separator");
    sb.append(String.format("Usage: java %s [OPTIONS] < file%n%n", SpanishTokenizer.class.getName()));
    sb.append("Options:").append(nl);
    sb.append("   -help          : Print this message.").append(nl);
    sb.append("   -ancora        : Tokenization style of AnCora (fixed).").append(nl);
    sb.append("   -lowerCase     : Apply lowercasing.").append(nl);
    sb.append("   -encoding type : Encoding format.").append(nl);
    sb.append("   -orthoOpts str : Orthographic options (see SpanishLexer.java)").append(nl);
    sb.append("   -lines         : Keep tokens as space-separated, not line separated.").append(nl);
    return sb.toString();
  }

  private static Map<String,Integer> argOptionDefs() {
    Map<String,Integer> argOptionDefs = Generics.newHashMap();
    argOptionDefs.put("help", 0);
    argOptionDefs.put("ftb", 0);
    argOptionDefs.put("lowerCase", 0);
    argOptionDefs.put("encoding", 1);
    argOptionDefs.put("orthoOpts", 1);
    argOptionDefs.put("lines", 0);
    return argOptionDefs;
  }

  /**
   * A fast, rule-based tokenizer for Spanish based on AnCora.
   * Performs punctuation splitting and light tokenization by default.
   * <p>
   * Currently, this tokenizer does not do line splitting. It assumes that the input
   * file is delimited by the system line separator. The output will be equivalently
   * delimited.
   * </p>
   *
   * @param args
   */
  public static void main(String[] args) {
    final Properties options = StringUtils.argsToProperties(args, argOptionDefs());
    if (options.containsKey("help")) {
      System.err.println(usage());
      return;
    }

    // Lexer options
    final TokenizerFactory<CoreLabel> tf = SpanishTokenizer.coreLabelFactory();
    if (options.containsKey("ancora"))
      tf.setOptions(ANCORA_OPTS);
    String orthoOptions = options.getProperty("orthoOpts", "");
    tf.setOptions(orthoOptions);

    // When called from this main method, split on newline. No options for
    // more granular sentence splitting.
    tf.setOptions("tokenizeNLs");

    // Other options
    final boolean lines = options.containsKey("lines");
    final String encoding = options.getProperty("encoding", "UTF-8");
    final boolean toLower = PropertiesUtils.getBool(options, "lowerCase", false);
    final Locale es = new Locale("es");

    // Read the file from stdin
    int nLines = 0;
    int nTokens = 0;
    final long startTime = System.nanoTime();
    try {
      Tokenizer<CoreLabel> tokenizer = tf.getTokenizer(new InputStreamReader(System.in, encoding));
      boolean printSpace = false;
      while (tokenizer.hasNext()) {
        ++nTokens;
        String word = tokenizer.next().word();
        if (word.equals(SpanishLexer.NEWLINE_TOKEN)) {
          ++nLines;
          printSpace = false;
          System.out.println();
        } else {
          if (printSpace) {
            if (lines) System.out.print(" ");
            else System.out.println();
          }
          String outputToken = toLower ? word.toLowerCase(es) : word;
          System.out.print(outputToken);
          printSpace = true;
        }
      }
    } catch (UnsupportedEncodingException e) {
      e.printStackTrace();
    }
    long elapsedTime = System.nanoTime() - startTime;
    double linesPerSec = (double) nLines / (elapsedTime / 1e9);
    System.err.printf("Done! Tokenized %d lines (%d tokens) at %.2f lines/sec%n", nLines, nTokens, linesPerSec);
  } // end main()

}
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