edu.stanford.nlp.tagger.maxent.ReadDataTagged Maven / Gradle / Ivy
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/**
* Title: StanfordMaxEnt
* Description: A Maximum Entropy Toolkit
* Copyright: Copyright (c) Trustees of Leland Stanford Junior University
*/
package edu.stanford.nlp.tagger.maxent;
import edu.stanford.nlp.util.logging.Redwood;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import edu.stanford.nlp.ling.TaggedWord;
import edu.stanford.nlp.ling.WordTag;
import edu.stanford.nlp.stats.IntCounter;
import edu.stanford.nlp.tagger.common.Tagger;
import edu.stanford.nlp.tagger.io.TaggedFileReader;
import edu.stanford.nlp.tagger.io.TaggedFileRecord;
import edu.stanford.nlp.util.Generics;
/**
* Reads tagged data from a file and creates a dictionary.
* The tagged data has to be whitespace-separated items, with the word and
* tag split off by a delimiter character, which is found as the last instance
* of the delimiter character in the item.
*
* @author Kristina Toutanova
* @version 1.0
*/
public class ReadDataTagged {
/** A logger for this class */
private static Redwood.RedwoodChannels log = Redwood.channels(ReadDataTagged.class);
private final ArrayList v = new ArrayList<>();
private int numElements = 0;
private int totalSentences = 0;
private int totalWords = 0;
private final PairsHolder pairs;
private final MaxentTagger maxentTagger;
//TODO: make a class DataHolder that holds the dict, tags, pairs, etc, for tagger
// and pass it around
protected ReadDataTagged(TaggerConfig config, MaxentTagger maxentTagger,
PairsHolder pairs)
throws IOException
{
this.maxentTagger = maxentTagger;
this.pairs = pairs;
List fileRecords = TaggedFileRecord.createRecords(config, config.getFile());
Map> wordTagCounts = Generics.newHashMap();
for (TaggedFileRecord record : fileRecords) {
loadFile(record.reader(), wordTagCounts);
}
// By counting the words and then filling the Dictionary, we can
// make it so there are no calls that mutate the Dictionary or its
// TagCount objects later
maxentTagger.dict.fillWordTagCounts(wordTagCounts);
}
/** Frees the memory that is stored in this object by dropping the word-tag data.
*/
void release() {
v.clear();
}
DataWordTag get(int index) {
return v.get(index);
}
private void loadFile(TaggedFileReader reader, Map> wordTagCounts) {
log.info("Loading tagged words from " + reader.filename());
ArrayList words = new ArrayList<>();
ArrayList tags = new ArrayList<>();
int numSentences = 0;
int numWords = 0;
int maxLen = Integer.MIN_VALUE;
int minLen = Integer.MAX_VALUE;
for (List sentence : reader) {
if (maxentTagger.wordFunction != null) {
List newSentence =
new ArrayList<>(sentence.size());
for (TaggedWord word : sentence) {
TaggedWord newWord =
new TaggedWord(maxentTagger.wordFunction.apply(word.word()),
word.tag());
newSentence.add(newWord);
}
sentence = newSentence;
}
for (TaggedWord tw : sentence) {
if(tw != null) {
words.add(tw.word());
tags.add(tw.tag());
if (!maxentTagger.tagTokens.containsKey(tw.tag())) {
maxentTagger.tagTokens.put(tw.tag(), Generics.newHashSet());
}
maxentTagger.tagTokens.get(tw.tag()).add(tw.word());
}
}
maxLen = (sentence.size() > maxLen ? sentence.size() : maxLen);
minLen = (sentence.size() < minLen ? sentence.size() : minLen);
words.add(Tagger.EOS_WORD);
tags.add(Tagger.EOS_TAG);
numElements = numElements + sentence.size() + 1;
// iterate over the words in the sentence
for (int i = 0; i < sentence.size() + 1; i++) {
History h = new History(totalWords + totalSentences,
totalWords + totalSentences + sentence.size(),
totalWords + totalSentences + i,
pairs, maxentTagger.extractors);
String tag = tags.get(i);
String word = words.get(i);
pairs.add(new WordTag(word,tag));
int y = maxentTagger.addTag(tag);
DataWordTag dat = new DataWordTag(h, y, tag);
v.add(dat);
IntCounter tagCounts = wordTagCounts.get(word);
if (tagCounts == null) {
tagCounts = new IntCounter<>();
wordTagCounts.put(word, tagCounts);
}
tagCounts.incrementCount(tag, 1);
}
totalSentences++;
totalWords += sentence.size();
numSentences++;
numWords += sentence.size();
words.clear();
tags.clear();
if ((numSentences % 100000) == 0) log.info("Read " + numSentences + " sentences, min " + minLen + " words, max " + maxLen + " words ... [still reading]");
}
log.info("Read " + numWords + " words from " + reader.filename() + " [done].");
log.info("Read " + numSentences + " sentences, min " + minLen + " words, max " + maxLen + " words.");
}
/** Returns the number of tokens in the data read, which is the number of words
* plus one end sentence token per sentence.
* @return The number of tokens in the data
*/
public int getSize() {
return numElements;
}
}