/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.lucene.analysis.ja.util;
import java.io.BufferedReader;
import java.io.File;
import java.io.FileInputStream;
import java.io.FilenameFilter;
import java.io.IOException;
import java.io.InputStreamReader;
import java.nio.charset.Charset;
import java.nio.charset.CharsetDecoder;
import java.nio.charset.CodingErrorAction;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collections;
import java.util.Comparator;
import java.util.List;
import org.apache.lucene.analysis.ja.util.DictionaryBuilder.DictionaryFormat;
import org.apache.lucene.util.IntsRefBuilder;
import org.apache.lucene.util.fst.Builder;
import org.apache.lucene.util.fst.FST;
import org.apache.lucene.util.fst.PositiveIntOutputs;
import com.ibm.icu.text.Normalizer2;
/**
*/
public class TokenInfoDictionaryBuilder {
/** Internal word id - incrementally assigned as entries are read and added. This will be byte offset of dictionary file */
private int offset = 0;
private String encoding = "euc-jp";
private boolean normalizeEntries = false;
private Normalizer2 normalizer;
private DictionaryFormat format = DictionaryFormat.IPADIC;
public TokenInfoDictionaryBuilder(DictionaryFormat format, String encoding, boolean normalizeEntries) {
this.format = format;
this.encoding = encoding;
this.normalizeEntries = normalizeEntries;
this.normalizer = normalizeEntries ? Normalizer2.getInstance(null, "nfkc", Normalizer2.Mode.COMPOSE) : null;
}
public TokenInfoDictionaryWriter build(String dirname) throws IOException {
FilenameFilter filter = new FilenameFilter() {
@Override
public boolean accept(File dir, String name) {
return name.endsWith(".csv");
}
};
ArrayList<File> csvFiles = new ArrayList<>();
for (File file : new File(dirname).listFiles(filter)) {
csvFiles.add(file);
}
Collections.sort(csvFiles);
return buildDictionary(csvFiles);
}
public TokenInfoDictionaryWriter buildDictionary(List<File> csvFiles) throws IOException {
TokenInfoDictionaryWriter dictionary = new TokenInfoDictionaryWriter(10 * 1024 * 1024);
// all lines in the file
System.out.println(" parse...");
List<String[]> lines = new ArrayList<>(400000);
for (File file : csvFiles){
FileInputStream inputStream = new FileInputStream(file);
Charset cs = Charset.forName(encoding);
CharsetDecoder decoder = cs.newDecoder()
.onMalformedInput(CodingErrorAction.REPORT)
.onUnmappableCharacter(CodingErrorAction.REPORT);
InputStreamReader streamReader = new InputStreamReader(inputStream, decoder);
BufferedReader reader = new BufferedReader(streamReader);
String line = null;
while ((line = reader.readLine()) != null) {
String[] entry = CSVUtil.parse(line);
if(entry.length < 13) {
System.out.println("Entry in CSV is not valid: " + line);
continue;
}
String[] formatted = formatEntry(entry);
lines.add(formatted);
// NFKC normalize dictionary entry
if (normalizeEntries) {
if (normalizer.isNormalized(entry[0])){
continue;
}
String[] normalizedEntry = new String[entry.length];
for (int i = 0; i < entry.length; i++) {
normalizedEntry[i] = normalizer.normalize(entry[i]);
}
formatted = formatEntry(normalizedEntry);
lines.add(formatted);
}
}
}
System.out.println(" sort...");
// sort by term: we sorted the files already and use a stable sort.
Collections.sort(lines, new Comparator<String[]>() {
public int compare(String[] left, String[] right) {
return left[0].compareTo(right[0]);
}
});
System.out.println(" encode...");
PositiveIntOutputs fstOutput = PositiveIntOutputs.getSingleton();
Builder<Long> fstBuilder = new Builder<>(FST.INPUT_TYPE.BYTE2, 0, 0, true, true, Integer.MAX_VALUE, fstOutput, true, 15);
IntsRefBuilder scratch = new IntsRefBuilder();
long ord = -1; // first ord will be 0
String lastValue = null;
// build tokeninfo dictionary
for (String[] entry : lines) {
int next = dictionary.put(entry);
if(next == offset){
System.out.println("Failed to process line: " + Arrays.toString(entry));
continue;
}
String token = entry[0];
if (!token.equals(lastValue)) {
// new word to add to fst
ord++;
lastValue = token;
scratch.grow(token.length());
scratch.setLength(token.length());
for (int i = 0; i < token.length(); i++) {
scratch.setIntAt(i, (int) token.charAt(i));
}
fstBuilder.add(scratch.get(), ord);
}
dictionary.addMapping((int)ord, offset);
offset = next;
}
final FST<Long> fst = fstBuilder.finish();
System.out.print(" " + fstBuilder.getNodeCount() + " nodes, " + fstBuilder.getArcCount() + " arcs, " + fst.ramBytesUsed() + " bytes... ");
dictionary.setFST(fst);
System.out.println(" done");
return dictionary;
}
/*
* IPADIC features
*
* 0 - surface
* 1 - left cost
* 2 - right cost
* 3 - word cost
* 4-9 - pos
* 10 - base form
* 11 - reading
* 12 - pronounciation
*
* UniDic features
*
* 0 - surface
* 1 - left cost
* 2 - right cost
* 3 - word cost
* 4-9 - pos
* 10 - base form reading
* 11 - base form
* 12 - surface form
* 13 - surface reading
*/
public String[] formatEntry(String[] features) {
if (this.format == DictionaryFormat.IPADIC) {
return features;
} else {
String[] features2 = new String[13];
features2[0] = features[0];
features2[1] = features[1];
features2[2] = features[2];
features2[3] = features[3];
features2[4] = features[4];
features2[5] = features[5];
features2[6] = features[6];
features2[7] = features[7];
features2[8] = features[8];
features2[9] = features[9];
features2[10] = features[11];
// If the surface reading is non-existent, use surface form for reading and pronunciation.
// This happens with punctuation in UniDic and there are possibly other cases as well
if (features[13].length() == 0) {
features2[11] = features[0];
features2[12] = features[0];
} else {
features2[11] = features[13];
features2[12] = features[13];
}
return features2;
}
}
}