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cvs commit: jakarta-lucene/src/java/org/apache/lucene/analysis/de GermanAnalyzer.java GermanStemFilter.java GermanStemmer.java WordlistLoader.java
cutting 01/09/25 10:29:05

Added: src/java/org/apache/lucene/analysis/de GermanAnalyzer.java
GermanStemFilter.java GermanStemmer.java
WordlistLoader.java
Log:
Adding German analysis code contributed by Gerhard Schwarz

Revision Changes Path
1.1 jakarta-lucene/src/java/org/apache/lucene/analysis/de/GermanAnalyzer.java

Index: GermanAnalyzer.java
===================================================================
package org.apache.lucene.analysis.de;

import org.apache.lucene.analysis.Analyzer;
import org.apache.lucene.analysis.LowerCaseFilter;
import org.apache.lucene.analysis.StopFilter;
import org.apache.lucene.analysis.TokenStream;
import org.apache.lucene.analysis.standard.StandardFilter;
import org.apache.lucene.analysis.standard.StandardTokenizer;
import java.io.File;
import java.io.Reader;
import java.util.Hashtable;

/**
* Analyzer for german language. Supports an external list of stopwords (words that
* will not be indexed at all) and an external list of exclusions (word that will
* not be stemmed, but indexed).
*
* @author Gerhard Schwarz
* @version $Id: GermanAnalyzer.java,v 1.1 2001/09/25 17:29:04 cutting Exp $
*/
public final class GermanAnalyzer extends Analyzer {

/**
* List of typical german stopwords.
*/
private String[] GERMAN_STOP_WORDS = {
"einer", "eine", "eines", "einem", "einen",
"der", "die", "das", "dass", "daß",
"du", "er", "sie", "es",
"was", "wer", "wie", "wir",
"und", "oder", "ohne", "mit",
"am", "im", "in", "aus", "auf",
"ist", "sein", "war", "wird",
"ihr", "ihre", "ihres",
"als", "für", "von", "mit",
"dich", "dir", "mich", "mir",
"mein", "sein", "kein",
"durch", "wegen"
};

/**
* Contains the stopwords used with the StopFilter.
*/
private Hashtable stoptable = new Hashtable();
/**
* Contains words that should be indexed but not stemmed.
*/
private Hashtable excltable = new Hashtable();

/**
* Builds an analyzer.
*/
public GermanAnalyzer() {
stoptable = StopFilter.makeStopTable( GERMAN_STOP_WORDS );
}

/**
* Builds an analyzer with the given stop words.
*/
public GermanAnalyzer( String[] stopwords ) {
stoptable = StopFilter.makeStopTable( stopwords );
}

/**
* Builds an analyzer with the given stop words.
*/
public GermanAnalyzer( Hashtable stopwords ) {
stoptable = stopwords;
}

/**
* Builds an analyzer with the given stop words.
*/
public GermanAnalyzer( File stopwords ) {
stoptable = WordlistLoader.getWordtable( stopwords );
}

/**
* Builds an exclusionlist from an array of Strings.
*/
public void setStemExclusionTable( String[] exclusionlist ) {
excltable = StopFilter.makeStopTable( exclusionlist );
}
/**
* Builds an exclusionlist from a Hashtable.
*/
public void setStemExclusionTable( Hashtable exclusionlist ) {
excltable = exclusionlist;
}
/**
* Builds an exclusionlist from the words contained in the given file.
*/
public void setStemExclusionTable( File exclusionlist ) {
excltable = WordlistLoader.getWordtable( exclusionlist );
}

/**
* Creates a TokenStream which tokenizes all the text in the provided Reader.
*
* @return A TokenStream build from a StandardTokenizer filtered with
* StandardFilter, StopFilter, GermanStemFilter and LowerCaseFilter.
*/
public final TokenStream tokenStream(String fieldName, Reader reader) {
TokenStream result = new StandardTokenizer( reader );
result = new StandardFilter( result );
result = new StopFilter( result, stoptable );
result = new GermanStemFilter( result, excltable );
// Convert to lowercase after stemming!
result = new LowerCaseFilter( result );
return result;
}
}




1.1 jakarta-lucene/src/java/org/apache/lucene/analysis/de/GermanStemFilter.java

Index: GermanStemFilter.java
===================================================================
package org.apache.lucene.analysis.de;

import org.apache.lucene.analysis.Token;
import org.apache.lucene.analysis.TokenFilter;
import org.apache.lucene.analysis.TokenStream;
import java.io.IOException;
import java.util.Hashtable;

/**
* A filter that stemms german words. It supports a table of words that should
* not be stemmed at all.
*
* @author Gerhard Schwarz
* @version $Id: GermanStemFilter.java,v 1.1 2001/09/25 17:29:04 cutting Exp $
*/
public final class GermanStemFilter extends TokenFilter {

/**
* The actual token in the input stream.
*/
private Token token = null;
private GermanStemmer stemmer = null;
private Hashtable exclusions = null;

public GermanStemFilter( TokenStream in ) {
stemmer = new GermanStemmer();
input = in;
}

/**
* Builds a GermanStemFilter that uses an exclusiontable.
*/
public GermanStemFilter( TokenStream in, Hashtable exclusiontable ) {
this( in );
this.exclusions = exclusions;
}

/**
* @return Returns the next token in the stream, or null at EOS.
*/
public final Token next()
throws IOException {
if ( ( token = input.next() ) == null ) {
return null;
}
// Check the exclusiontable.
else if ( exclusions != null && exclusions.contains( token.termText() ) ) {
return token;
}
else {
String s = stemmer.stem( token.termText() );
// If not stemmed, dont waste the time creating a new token.
if ( !s.equals( token.termText() ) ) {
return new Token( s, 0, s.length(), token.type() );
}
return token;
}
}
}





1.1 jakarta-lucene/src/java/org/apache/lucene/analysis/de/GermanStemmer.java

Index: GermanStemmer.java
===================================================================
package org.apache.lucene.analysis.de;

/**
* A stemmer for german words. The algorithm is based on the report
* "A Fast and Simple Stemming Algorithm for German Words" by Jörg
* Caumanns (joerg.caumanns@isst.fhg.de).
*
* @author Gerhard Schwarz
* @version $Id: GermanStemmer.java,v 1.1 2001/09/25 17:29:05 cutting Exp $
*/

public class GermanStemmer {

/**
* Buffer for the terms while stemming them.
*/
private StringBuffer sb = new StringBuffer();
/**
* Indicates if a term is handled as a noun.
*/
private boolean uppercase = false;
/**
* Amount of characters that are removed with <tt>substitute()</tt> while stemming.
*/
private int substCount = 0;

public GermanStemmer() {
}

/**
* Stemms the given term to an unique <tt>discriminator</tt>.
*
* @param word The term that should be stemmed.
* @return Discriminator for <tt>term</tt>
*/
protected String stem( String term ) {
if ( !isStemmable( term ) ) {
return term;
}
// Mark a possible noun.
if ( Character.isUpperCase( term.charAt( 0 ) ) ) {
uppercase = true;
}
// Use lowercase for medium stemming.
term = term.toLowerCase();
// Reset the StringBuffer.
sb.delete( 0, sb.length() );
sb.insert( 0, term );
sb = substitute( sb );
// Nouns have only seven possible suffixes.
if ( uppercase && sb.length() > 3 ) {
if ( sb.substring( sb.length() - 3, sb.length() ).equals( "ern" ) ) {
sb.delete( sb.length() - 3, sb.length() );
}
else if ( sb.substring( sb.length() - 2, sb.length() ).equals( "en" ) ) {
sb.delete( sb.length() - 2, sb.length() );
}
else if ( sb.substring( sb.length() - 2, sb.length() ).equals( "er" ) ) {
sb.delete( sb.length() - 2, sb.length() );
}
else if ( sb.substring( sb.length() - 2, sb.length() ).equals( "es" ) ) {
sb.delete( sb.length() - 2, sb.length() );
}
else if ( sb.charAt( sb.length() - 1 ) == 'e' ) {
sb.deleteCharAt( sb.length() - 1 );
}
else if ( sb.charAt( sb.length() - 1 ) == 'n' ) {
sb.deleteCharAt( sb.length() - 1 );
}
else if ( sb.charAt( sb.length() - 1 ) == 's' ) {
sb.deleteCharAt( sb.length() - 1 );
}
// Additional step for female plurals of professions and inhabitants.
if ( sb.length() > 5 && sb.substring( sb.length() - 3, sb.length() ).equals( "erin*" ) ) {
sb.deleteCharAt( sb.length() -1 );
}
// Additional step for irregular plural nouns like "Matrizen -> Matrix".
if ( sb.charAt( sb.length() - 1 ) == ( 'z' ) ) {
sb.setCharAt( sb.length() - 1, 'x' );
}
}
// Check the 7 "base" suffixes: "e", "s", "n", "t", "em", "er", "nd" for all
// other terms. Adjectives, Verbs and Adverbs have a total of 52 different
// possible suffixes.
else {
// Strip base suffixes as long as enough characters remain.
boolean doMore = true;
while ( sb.length() > 3 && doMore ) {
if ( ( sb.length() + substCount > 5 ) && sb.substring( sb.length() - 2, sb.length() ).equals( "nd" ) ) {
sb.delete( sb.length() - 2, sb.length() );
}
else if ( ( sb.length() + substCount > 4 ) && sb.substring( sb.length() - 2, sb.length() ).equals( "er" ) ) {
sb.delete( sb.length() - 2, sb.length() );
}
else if ( ( sb.length() + substCount > 4 ) && sb.substring( sb.length() - 2, sb.length() ).equals( "em" ) ) {
sb.delete( sb.length() - 2, sb.length() );
}
else if ( sb.charAt( sb.length() - 1 ) == 't' ) {
sb.deleteCharAt( sb.length() - 1 );
}
else if ( sb.charAt( sb.length() - 1 ) == 'n' ) {
sb.deleteCharAt( sb.length() - 1 );
}
else if ( sb.charAt( sb.length() - 1 ) == 's' ) {
sb.deleteCharAt( sb.length() - 1 );
}
else if ( sb.charAt( sb.length() - 1 ) == 'e' ) {
sb.deleteCharAt( sb.length() - 1 );
}
else {
doMore = false;
}
}
}
if ( !uppercase ) {
sb = removeParticleDenotion( sb );
}
sb = resubstitute( sb );
return sb.toString();
}

/**
* Removes a particle denotion ("ge") from a term, but only if at least 3
* characters will remain.
*
* @return The term without particle denotion, if there was one.
*/
private StringBuffer removeParticleDenotion( StringBuffer buffer ) {
for ( int c = 0; c < buffer.length(); c++ ) {
// Strip from the beginning of the string to the "ge" inclusive.
if ( c < ( sb.length() - 3 ) && buffer.charAt( c ) == 'g' && buffer.charAt ( c + 1 ) == 'e' ) {
buffer.delete( 0, c + 2 );
}
}
return sb;
}

/**
* Do some substitutions for the term to reduce overstemming:
*
* - Substitute Umlauts with their corresponding vowel: äöü -> aou,
* "ß" is substituted by "ss"
* - Substitute an second char of an pair of equal characters with
* an asterisk: ?? -> ?*
* - Substitute some common character combinations with a token:
* sch/ch/ei/ie/ig/st -> $/§/%/&/#/!
*
* @return The term with all needed substitutions.
*/
private StringBuffer substitute( StringBuffer buffer ) {
for ( int c = 0; c < buffer.length(); c++ ) {
// Replace the second char of a pair of the equal characters with an asterisk.
if ( c > 0 && buffer.charAt( c ) == buffer.charAt ( c - 1 ) ) {
buffer.setCharAt( c, '*' );
}
// Substitute Umlauts.
else if ( buffer.charAt( c ) == 'ä' ) {
buffer.setCharAt( c, 'a' );
}
else if ( buffer.charAt( c ) == 'ö' ) {
buffer.setCharAt( c, 'o' );
}
else if ( buffer.charAt( c ) == 'ü' ) {
buffer.setCharAt( c, 'u' );
}
// Take care that enough characters at left for search.
if ( c < buffer.length() - 1 ) {
if ( buffer.charAt( c ) == 'ß' ) {
buffer.setCharAt( c, 's' );
buffer.insert( c + 1, 's' );
substCount++;
}
// Masking several common character combinations with an token.
else if ( ( c < buffer.length() - 2 ) && buffer.charAt( c ) == 's' && buffer.charAt( c + 1 ) == 'c' && buffer.charAt( c + 2 ) == 'h' ) {
buffer.setCharAt( c, '$' );
buffer.delete( c + 1, c + 3 );
substCount =+ 2;
}
else if ( buffer.charAt( c ) == 'c' && buffer.charAt( c + 1 ) == 'h' ) {
buffer.setCharAt( c, '§' );
buffer.deleteCharAt( c + 1 );
substCount++;
}
else if ( buffer.charAt( c ) == 'e' && buffer.charAt( c + 1 ) == 'i' ) {
buffer.setCharAt( c, '%' );
buffer.deleteCharAt( c + 1 );
substCount++;
}
else if ( buffer.charAt( c ) == 'i' && buffer.charAt( c + 1 ) == 'e' ) {
buffer.setCharAt( c, '&' );
buffer.deleteCharAt( c + 1 );
substCount++;
}
else if ( buffer.charAt( c ) == 'i' && buffer.charAt( c + 1 ) == 'g' ) {
buffer.setCharAt( c, '#' );
buffer.deleteCharAt( c + 1 );
substCount++;
}
else if ( buffer.charAt( c ) == 's' && buffer.charAt( c + 1 ) == 't' ) {
buffer.setCharAt( c, '!' );
buffer.deleteCharAt( c + 1 );
substCount++;
}
}
}
return buffer;
}

/**
* Checks a term if it can be processed correctly.
*
* @return true if, and only if, the given term consists in letters.
*/
private boolean isStemmable( String term ) {
boolean upper = false;
int first = -1;
for ( int c = 0; c < term.length(); c++ ) {
// Discard terms that contain non-letter characters.
if ( !Character.isLetter( term.charAt( c ) ) ) {
return false;
}
// Discard terms that contain multiple uppercase letters.
if ( Character.isUpperCase( term.charAt( c ) ) ) {
if ( upper ) {
return false;
}
// First encountered uppercase letter, set flag and save
// position.
else {
first = c;
upper = true;
}
}
}
// Discard the term if it contains a single uppercase letter that
// is not starting the term.
if ( first > 0 ) {
return false;
}
return true;
}
/**
* Undoes some changes made by substitute(). That are character pairs and
* character combinations.
*
* @return The term without the not human reaqdable substitutions.
*/
private StringBuffer resubstitute( StringBuffer buffer ) {
for ( int c = 0; c < buffer.length(); c++ ) {
if ( buffer.charAt( c ) == '*' ) {
char x = buffer.charAt( c - 1 );
buffer.setCharAt( c, x );
}
else if ( buffer.charAt( c ) == '$' ) {
buffer.setCharAt( c, 's' );
buffer.insert( c + 1, new char[]{'c', 'h'}, 0, 2 );
}
else if ( buffer.charAt( c ) == '§' ) {
buffer.setCharAt( c, 'c' );
buffer.insert( c + 1, 'h' );
}
else if ( buffer.charAt( c ) == '%' ) {
buffer.setCharAt( c, 'e' );
buffer.insert( c + 1, 'i' );
}
else if ( buffer.charAt( c ) == '&' ) {
buffer.setCharAt( c, 'i' );
buffer.insert( c + 1, 'e' );
}
else if ( buffer.charAt( c ) == '#' ) {
buffer.setCharAt( c, 'i' );
buffer.insert( c + 1, 'g' );
}
else if ( buffer.charAt( c ) == '!' ) {
buffer.setCharAt( c, 's' );
buffer.insert( c + 1, 't' );
}
}
return buffer;
}
}




1.1 jakarta-lucene/src/java/org/apache/lucene/analysis/de/WordlistLoader.java

Index: WordlistLoader.java
===================================================================
package org.apache.lucene.analysis.de;

import java.io.File;
import java.io.FileReader;
import java.io.IOException;
import java.io.LineNumberReader;
import java.util.Hashtable;

/**
* Loads a textfile and adds every entry to a Hashtable. If a file is not found
* or on any error, an empty table is returned.
*
* @author Gerhard Schwarz
* @version $Id: WordlistLoader.java,v 1.1 2001/09/25 17:29:05 cutting Exp $
*/
public class WordlistLoader {

/**
* @param path Path to the wordlist.
* @param wordfile Name of the wordlist.
*/
public static Hashtable getWordtable( String path, String wordfile ) {
if ( path == null || wordfile == null ) {
return new Hashtable();
}
File absoluteName = new File( path, wordfile );
return getWordtable( absoluteName );
}
/**
* @param wordfile Complete path to the wordlist
*/
public static Hashtable getWordtable( String wordfile ) {
if ( wordfile == null ) {
return new Hashtable();
}
File absoluteName = new File( wordfile );
return getWordtable( absoluteName );
}

/**
* @param wordfile File containing the wordlist.
*/
public static Hashtable getWordtable( File wordfile ) {
if ( wordfile == null ) {
return new Hashtable();
}
Hashtable result = null;
try {
LineNumberReader lnr = new LineNumberReader( new FileReader( wordfile ) );
String word = null;
String[] stopwords = new String[100];
int wordcount = 0;
while ( ( word = lnr.readLine() ) != null ) {
wordcount++;
if ( wordcount == stopwords.length ) {
String[] tmp = new String[stopwords.length + 50];
System.arraycopy( stopwords, 0, tmp, 0, wordcount );
stopwords = tmp;
}
stopwords[wordcount] = word;
}
result = makeWordTable( stopwords, wordcount );
}
// On error, use an empty table.
catch ( IOException e ) {
result = new Hashtable();
}
return result;
}

/**
* Builds the wordlist table.
*
* @param words Word that where read.
* @param length Amount of words that where read into <tt>words</tt>.
*/
private static Hashtable makeWordTable( String[] words, int length ) {
Hashtable table = new Hashtable( length );
for ( int i = 0; i < length; i++ ) {
table.put( words[i], words[i] );
}
return table;
}
}