yacy_search_server/source/net/yacy/document/language/Identificator.java
orbiter 60e71876ad - more abstraction (HashMap -> Map)
- more concurrency-awareness (HashMap -> ConcurrentHashMap)

git-svn-id: https://svn.berlios.de/svnroot/repos/yacy/trunk@6910 6c8d7289-2bf4-0310-a012-ef5d649a1542
2010-06-01 13:02:11 +00:00

187 lines
6.6 KiB
Java

// Identificator.java
// -----------------------
// (C) by Marc Nause; marc.nause@audioattack.de
// first published on http://www.yacy.net
// Braunschweig, Germany, 2008
//
// $LastChangedDate: 2008-05-23 23:00:00 +0200 (Fr, 23 Mai 2008) $
// $LastChangedRevision: 4824 $
// $LastChangedBy: low012 $
//
// This program is free software; you can redistribute it and/or modify
// it under the terms of the GNU General Public License as published by
// the Free Software Foundation; either version 2 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU General Public License
// along with this program; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
package net.yacy.document.language;
import java.util.HashMap;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
import java.util.Vector;
/**
* This class can try to identify the language a text is written in.
*/
public final class Identificator {
private static final LanguageStatisticsHolder languages = LanguageStatisticsHolder.getInstance();
private final Map<Character, Integer> letter;
private int letters;
private String language;
public Identificator() {
letter = new HashMap<Character, Integer>();
letters = 0;
language = null;
}
/**
* This method tries to return the language a text is written in. The method will only
* use the first 100000 characters of the text which should be enough. Using more
* characters probably only slows down the process without gaining much accuracy.
* @param text the text that is to be analyzed
* @return the language or "unknown" if the method was not able to find out the language
*/
public static String getLanguage(final String text) {
// only test the first 100000 characters of a text
return getLanguage(text, 100000);
}
/**
* This method tries to return the language a text is written in. The method will
* use the number characters defined in the parameter limit.
* @param text the text that is to be analyzed
* @param limit the number of characters that are supposed to be considered
* @return the language or null if the method was not able to find out the language
*/
public static String getLanguage(final String text, final int limit) {
int upperLimit = text.length();
if (upperLimit > limit) {
upperLimit = limit;
}
Identificator id = new Identificator();
// count number of characters in text
for (int i = 0; i < upperLimit; i++) id.inc(text.charAt(i));
return id.getLanguage();
}
public void inc(final char c) {
if (!Character.isLetter(c)) return;
Character cc = Character.toLowerCase(c);
Integer i = letter.get(cc);
if (i == null) {
letter.put(cc, 1);
} else {
letter.put(cc, i.intValue() + 1);
}
letters++;
}
public void add(String word) {
if (word == null) return;
for (int i = 0; i < word.length(); i++) inc(word.charAt(i));
}
public String getLanguage() {
if (language != null) return language; // don't compute that twice
if (letters == 0) return null; // not enough information available
final LanguageStatistics testStat = new LanguageStatistics("text");
// calculate percentage
Character character;
Character maxChar = null;
int count = 0;
int max = 0;
for (Map.Entry<Character, Integer> e: letter.entrySet()) {
character = e.getKey();
count = e.getValue().intValue();
if (count > max) {
maxChar = character;
max = count;
}
testStat.put(character, ((float) 100) * ((float) count) / ((float) letters));
}
// create list with relevant languages
final List<Integer> relevantLanguages = new Vector <Integer>();
for (int i = 0; i < languages.size(); i++) {
// only languages that contain the most common character in the text will be tested
if (languages.get(i).contains(maxChar)) {
relevantLanguages.add(i);
}
}
if (relevantLanguages.isEmpty()) return null;
// compare characters in text with characters in statistics
final float[] offsetList = new float[relevantLanguages.size()];
final int[] votesList = new int[relevantLanguages.size()];
Iterator<Character> iter = testStat.keySet().iterator();
float minimum;
float offset = 0;
float valueCharacter;
int bestLanguage = -1;
float value;
while (iter.hasNext()) {
minimum = 100.1f;
character = iter.next();
valueCharacter = testStat.get(character);
for (int i = 0; i < relevantLanguages.size(); i++) {
value = languages.get(relevantLanguages.get(i)).get(character);
offset = Math.abs(value - valueCharacter);
offsetList[i] = offsetList[i] + offset;
if (offset < minimum) {
minimum = offset;
bestLanguage = i;
}
}
votesList[bestLanguage] = ++votesList[bestLanguage];
}
// Now we can count how many votes each language got and how far it was away from the stats.
// If 2 languages have the same amount of votes, the one with the smaller offset wins.
int maxVotes = 0;
float minOffset = 100.1f;
for (int i = 0; i < votesList.length; i++) {
if ((votesList[i] == maxVotes && offsetList[i] < minOffset) || (votesList[i] > maxVotes)) {
maxVotes = votesList[i];
minOffset = offsetList[i];
bestLanguage = i;
}
}
// Only return name of language of offset is smaller than 20%. This
// prevents a language beeing reported that has won the voting, but
// is still not the right language.
if (offset < 20) {
language = languages.get(relevantLanguages.get(bestLanguage)).getName();
return language;
}
return null;
}
}