package edu.stanford.nlp.parser.lexparser;
import edu.stanford.nlp.util.logging.Redwood;
import java.util.Map;
import java.util.Set;
import edu.stanford.nlp.io.EncodingPrintWriter;
import edu.stanford.nlp.ling.TaggedWord;
import edu.stanford.nlp.ling.WordTag;
import edu.stanford.nlp.ling.Tag;
import edu.stanford.nlp.ling.Label;
import edu.stanford.nlp.stats.ClassicCounter;
import edu.stanford.nlp.util.Generics;
import edu.stanford.nlp.util.Index;
/**
* Stores, trains, and scores with an unknown word model. A couple
* of filters deterministically force rewrites for certain proper
* nouns, dates, and cardinal and ordinal numbers; when none of these
* filters are met, either the distribution of terminals with the same
* first character is used, or Good-Turing smoothing is used. Although
* this is developed for Chinese, the training and storage methods
* could be used cross-linguistically.
*
* @author Roger Levy
*/
public class ChineseUnknownWordModel extends BaseUnknownWordModel {
/** A logger for this class */
private static Redwood.RedwoodChannels log = Redwood.channels(ChineseUnknownWordModel.class);
private static final String encoding = "GB18030"; // used only for debugging
private final boolean useUnicodeType;
/* These strings are stored in ascii-type Unicode encoding. To
* edit them, either use the Unicode codes or use native2ascii or a
* similar program to convert the file into a Chinese encoding, then
* convert back. */
private static final String numberMatch = ".*[0-9\uff10-\uff19\u4e00\u4e8c\u4e09\u56db\u4e94\u516d\u4e03\u516b\u4e5d\u5341\u767e\u5343\u4e07\u4ebf\u96F6\u3007\u25cb\u25ef].*";
private static final String dateMatch = numberMatch + "[\u5e74\u6708\u65e5\u53f7]";
private static final String ordinalMatch = "\u7b2c.*";
// uses midDot characters as one clue of being proper name
private static final String properNameMatch = ".*[\u00b7\u0387\u2022\u2024\u2027\u2219\u22C5\u30FB].*";
private final Set<String> seenFirst;
public ChineseUnknownWordModel(Options op, Lexicon lex,
Index<String> wordIndex,
Index<String> tagIndex,
ClassicCounter<IntTaggedWord> unSeenCounter,
Map<Label,ClassicCounter<String>> tagHash,
Map<String,Float> unknownGT,
boolean useGT,
Set<String> seenFirst) {
super(op, lex, wordIndex, tagIndex,
unSeenCounter, tagHash, unknownGT, null);
this.useFirst = !useGT;
this.useGT = useGT;
this.useUnicodeType = op.lexOptions.useUnicodeType;
this.seenFirst = seenFirst;
}
/**
* This constructor creates an UWM with empty data structures. Only
* use if loading in the data separately, such as by reading in text
* lines containing the data.
* TODO: would need to set useGT correctly if you saved a model with
* useGT and then wanted to recover it from text.
*/
public ChineseUnknownWordModel(Options op, Lexicon lex,
Index<String> wordIndex,
Index<String> tagIndex) {
this(op, lex, wordIndex, tagIndex,
new ClassicCounter<>(),
Generics.<Label,ClassicCounter<String>>newHashMap(),
Generics.<String,Float>newHashMap(),
false, Generics.<String>newHashSet());
}
@Override
public float score(IntTaggedWord itw, String word) {
// Label tagL = itw.tagLabel();
// String tag = tagL.value();
String tag = itw.tagString(tagIndex);
Label tagL = new Tag(tag);
float logProb;
if (VERBOSE) EncodingPrintWriter.out.println("Scoring unknown word |" + word + "| with tag " + tag, encoding);
if (word.matches(dateMatch)) {
//EncodingPrintWriter.out.println("Date match for " + word,encoding);
if (tag.equals("NT")) {
logProb = 0.0f;
} else {
logProb = Float.NEGATIVE_INFINITY;
}
} else if (word.matches(numberMatch)) {
//EncodingPrintWriter.out.println("Number match for " + word,encoding);
if (tag.equals("CD") && (!word.matches(ordinalMatch))) {
logProb = 0.0f;
} else if (tag.equals("OD") && word.matches(ordinalMatch)) {
logProb = 0.0f;
} else {
logProb = Float.NEGATIVE_INFINITY;
}
} else if (word.matches(properNameMatch)) {
//EncodingPrintWriter.out.println("Proper name match for " + word,encoding);
if (tag.equals("NR")) {
logProb = 0.0f;
} else {
logProb = Float.NEGATIVE_INFINITY;
}
/* -------------
// this didn't seem to work -- too categorical
int type = Character.getType(word.charAt(0));
// the below may not normalize probs over options, but is probably okay
if (type == Character.START_PUNCTUATION) {
if (tag.equals("PU-LPAREN") || tag.equals("PU-PAREN") ||
tag.equals("PU-LQUOTE") || tag.equals("PU-QUOTE") ||
tag.equals("PU")) {
// if (VERBOSE) log.info("ChineseUWM: unknown L Punc");
logProb = 0.0f;
} else {
logProb = Float.NEGATIVE_INFINITY;
}
} else if (type == Character.END_PUNCTUATION) {
if (tag.equals("PU-RPAREN") || tag.equals("PU-PAREN") ||
tag.equals("PU-RQUOTE") || tag.equals("PU-QUOTE") ||
tag.equals("PU")) {
// if (VERBOSE) log.info("ChineseUWM: unknown R Punc");
logProb = 0.0f;
} else {
logProb = Float.NEGATIVE_INFINITY;
}
} else {
if (tag.equals("PU-OTHER") || tag.equals("PU-ENDSENT") ||
tag.equals("PU")) {
// if (VERBOSE) log.info("ChineseUWM: unknown O Punc");
logProb = 0.0f;
} else {
logProb = Float.NEGATIVE_INFINITY;
}
}
------------- */
} else {
first:
if (useFirst) {
String first = word.substring(0, 1);
if (useUnicodeType) {
char ch = word.charAt(0);
int type = Character.getType(ch);
if (type != Character.OTHER_LETTER) {
// standard Chinese characters are of type "OTHER_LETTER"!!
first = Integer.toString(type);
}
}
if ( ! seenFirst.contains(first)) {
if (useGT) {
logProb = scoreGT(tag);
break first;
} else {
first = unknown;
}
}
/* get the Counter of terminal rewrites for the relevant tag */
ClassicCounter<String> wordProbs = tagHash.get(tagL);
/* if the proposed tag has never been seen before, issue a
warning and return probability 0. */
if (wordProbs == null) {
if (VERBOSE) log.info("Warning: proposed tag is unseen in training data!");
logProb = Float.NEGATIVE_INFINITY;
} else if (wordProbs.containsKey(first)) {
logProb = (float) wordProbs.getCount(first);
} else {
logProb = (float) wordProbs.getCount(unknown);
}
} else if (useGT) {
logProb = scoreGT(tag);
} else {
if (VERBOSE) log.info("Warning: no unknown word model in place!\nGiving the combination " + word + " " + tag + " zero probability.");
logProb = Float.NEGATIVE_INFINITY; // should never get this!
}
}
if (VERBOSE) EncodingPrintWriter.out.println("Unknown word estimate for " + word + " as " + tag + ": " + logProb, encoding);
return logProb;
}
public static void main(String[] args) {
System.out.println("Testing unknown matching");
String s = "\u5218\u00b7\u9769\u547d";
if (s.matches(properNameMatch)) {
System.out.println("hooray names!");
} else {
System.out.println("Uh-oh names!");
}
String s1 = "\uff13\uff10\uff10\uff10";
if (s1.matches(numberMatch)) {
System.out.println("hooray numbers!");
} else {
System.out.println("Uh-oh numbers!");
}
String s11 = "\u767e\u5206\u4e4b\u56db\u5341\u4e09\u70b9\u4e8c";
if (s11.matches(numberMatch)) {
System.out.println("hooray numbers!");
} else {
System.out.println("Uh-oh numbers!");
}
String s12 = "\u767e\u5206\u4e4b\u4e09\u5341\u516b\u70b9\u516d";
if (s12.matches(numberMatch)) {
System.out.println("hooray numbers!");
} else {
System.out.println("Uh-oh numbers!");
}
String s2 = "\u4e09\u6708";
if (s2.matches(dateMatch)) {
System.out.println("hooray dates!");
} else {
System.out.println("Uh-oh dates!");
}
System.out.println("Testing tagged word");
ClassicCounter<TaggedWord> c = new ClassicCounter<>();
TaggedWord tw1 = new TaggedWord("w", "t");
c.incrementCount(tw1);
TaggedWord tw2 = new TaggedWord("w", "t2");
System.out.println(c.containsKey(tw2));
System.out.println(tw1.equals(tw2));
WordTag wt1 = toWordTag(tw1);
WordTag wt2 = toWordTag(tw2);
WordTag wt3 = new WordTag("w", "t2");
System.out.println(wt1.equals(wt2));
System.out.println(wt2.equals(wt3));
}
private static WordTag toWordTag(TaggedWord tw) {
return new WordTag(tw.word(), tw.tag());
}
private static final long serialVersionUID = 221L;
@Override
public String getSignature(String word, int loc) {
throw new UnsupportedOperationException();
}
}