eu.monnetproject.translation.fidel.FidelDecoderWrapper Maven / Gradle / Ivy

Go to download
Show more of this group Show more artifacts with this name
Show all versions of translation.fidel Show documentation
com.github.monnetproject.translation.fidel OSGi Bundle from the Monnet Project's translation.project project.
The newest version!
/**
 * *******************************************************************************
 * Copyright (c) 2011, Monnet Project All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met: *
 * Redistributions of source code must retain the above copyright notice, this
 * list of conditions and the following disclaimer. * Redistributions in binary
 * form must reproduce the above copyright notice, this list of conditions and
 * the following disclaimer in the documentation and/or other materials provided
 * with the distribution. * Neither the name of the Monnet Project nor the names
 * of its contributors may be used to endorse or promote products derived from
 * this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
 * ARE DISCLAIMED. IN NO EVENT SHALL THE MONNET PROJECT BE LIABLE FOR ANY
 * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
 * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 * *******************************************************************************
 */
package eu.monnetproject.translation.fidel;

import eu.monnetproject.lang.Language;
import eu.monnetproject.translation.Decoder;
import eu.monnetproject.translation.DecoderWeights;
import eu.monnetproject.translation.Feature;
import eu.monnetproject.translation.Label;
import eu.monnetproject.translation.PhraseTable;
import eu.monnetproject.translation.PhraseTableEntry;
import eu.monnetproject.translation.Translation;
import it.unimi.dsi.fastutil.doubles.DoubleRBTreeSet;
import it.unimi.dsi.fastutil.doubles.DoubleSet;
import it.unimi.dsi.fastutil.ints.Int2ObjectMap;
import it.unimi.dsi.fastutil.ints.Int2ObjectMaps;
import it.unimi.dsi.fastutil.ints.Int2ObjectOpenHashMap;
import it.unimi.dsi.fastutil.objects.Object2IntMap;
import it.unimi.dsi.fastutil.objects.Object2IntMaps;
import it.unimi.dsi.fastutil.objects.Object2IntOpenHashMap;
import it.unimi.dsi.fastutil.objects.Object2ObjectMap;
import it.unimi.dsi.fastutil.objects.Object2ObjectOpenHashMap;
import java.net.URI;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.LinkedList;
import java.util.List;
import java.util.TreeSet;

/**
 *
 * @author John McCrae
 */
public class FidelDecoderWrapper implements Decoder {

    private final IntegerLanguageModel languageModel;
    private final Object2IntMap srcWordMap, trgWordMap;
    private final Int2ObjectMap srcInvMap, invWordMap;
    private final int distortionLimit = Integer.parseInt(System.getProperty("distortionlimit", "5"));
    private final DecoderWeights weights;

    public FidelDecoderWrapper(IntegerLanguageModel languageModel, DecoderWeights weights) {
        this.languageModel = languageModel;
        this.srcWordMap = Object2IntMaps.synchronize(new Object2IntOpenHashMap());
        this.srcInvMap = Int2ObjectMaps.synchronize(new Int2ObjectOpenHashMap());
        this.trgWordMap = languageModel.wordMap();
        this.invWordMap = languageModel.invWordMap();
        this.weights = weights;
    }

    @Override
    public List decode(List phrase, PhraseTable phraseTable, List featureNames, int nBest) {
        return decode(phrase, phraseTable, featureNames, nBest, 50, false);
    }

    @Override
    public List decodeFast(List phrase, PhraseTable phraseTable, List featureNames, int nBest) {
        return decode(phrase, phraseTable, featureNames, nBest, 20, true);
    }

    private List decode(List phrase, PhraseTable phraseTable, List featureNames, int nBest, int beamSize, boolean useLazy) {
        FidelDecoder.wordMap = invWordMap;
        FidelDecoder.srcWordMap = srcWordMap;
        int[] src = convertPhrase(phrase);
        Object2ObjectMap> pt = convertPT(phraseTable, trgWordMap, featureNames, beamSize+10);
        int lmN = languageModel.order();
        double[] wts = new double[featureNames.size() + FidelDecoder.PT];
        int i = FidelDecoder.PT;
        //wts[FidelDecoder.UNK] = -100 * (weights.containsKey("UnknownWord") ? weights.get("UnknownWord") : 1.0);
        wts[FidelDecoder.UNK] = -100;
        wts[FidelDecoder.DIST] = weights.containsKey("LinearDistortion") ? weights.get("LinearDistortion") : 0.0;
        wts[FidelDecoder.LM] = weights.containsKey("LM") ? weights.get("LM") : 0.0;
        for (String feat : featureNames) {
            wts[i++] = weights.containsKey(feat) ? weights.get(feat)
                    : (weights.containsKey("TM:" + feat) ? weights.get("TM:" + feat) : 0);
        }
        final Solution[] translations = FidelDecoder.decode(src, pt, languageModel, lmN, wts, distortionLimit, nBest, beamSize, useLazy);
        final StringBuilder sb = new StringBuilder();
        for (String w : phrase) {
            if (sb.length() != 0) {
                sb.append(" ");
            }
            sb.append(w);
        }
        return convertTranslations(translations, new StringLabel(sb.toString(), phraseTable.getForeignLanguage()), phraseTable.getTranslationLanguage(), featureNames);
    }

    private int[] convertPhrase(List phrase) {
        final int[] p = new int[phrase.size()];
        int i = 0;
        int W = srcWordMap.size();
        for (String s : phrase) {
            if (srcWordMap.containsKey(s)) {
                p[i++] = srcWordMap.getInt(s);
            } else {
                p[i++] = ++W;
                srcWordMap.put(s, W);
                srcInvMap.put(W, s);
            }
        }
        return p;
    }

    private Phrase convertPhrase(String[] phrase, Object2IntMap dict) {
        final int[] p = new int[phrase.length];
        int i = 0;
        int W = dict.size();
        for (String s : phrase) {
            if (dict.containsKey(s)) {
                p[i++] = dict.getInt(s);
            } else {
                p[i++] = ++W;
                if (srcWordMap == dict) {
                    dict.put(s, W);
                    srcInvMap.put(W, s);
                }
            }
        }
        return new Phrase(p);
    }

    private Object2ObjectMap> convertPT(PhraseTable phraseTable, Object2IntMap trgDict, List featureNames, int maxSize) {
        final Object2ObjectOpenHashMap> pt = new Object2ObjectOpenHashMap>();
        final Object2ObjectOpenHashMap approxScores = new Object2ObjectOpenHashMap();
        for (PhraseTableEntry pte : phraseTable) {
            final Phrase src;// = convertPhrase(FairlyGoodTokenizer.split(pte.getForeign().asString()), srcWordMap);
            final Phrase trg;// = convertPhrase(FairlyGoodTokenizer.split(pte.getTranslation().asString()), trgDict);

            src = convertPhrase(FairlyGoodTokenizer.split(pte.getForeign().asString()), srcWordMap);
            if (maxSize > 0) {
                if (!approxScores.containsKey(src)) {
                    approxScores.put(src, new DoubleRBTreeSet());
                }
                final DoubleRBTreeSet as = approxScores.get(src);
                if (as.size() >= maxSize) {
                    if(as.firstDouble() > pte.getApproxScore()) {
                        continue;
                    } else {
                        as.remove(as.firstDouble());
                        as.add(pte.getApproxScore());
                    }
                } else {
                    as.add(pte.getApproxScore());
                }
            }
            trg = convertPhrase(FairlyGoodTokenizer.split(pte.getTranslation().asString()), trgDict);
            final double[] wts = convertWeights(pte.getFeatures(), featureNames);
            final PhraseTranslation translation = new PhraseTranslation(trg.p, wts);
            if (!pt.containsKey(src)) {
                pt.put(src, new ArrayList());
            }
            pt.get(src).add(translation);
        }
        return pt;
    }

    private List convertTranslations(Solution[] translations, Label srcLabel, Language trgLang, List featureNames) {
        final ArrayList converted = new ArrayList();
        for (Solution soln : translations) {
            Feature[] features = new Feature[FidelDecoder.PT + featureNames.size()];
            final double[] solnFeatures = soln.features();
            features[FidelDecoder.UNK] = new Feature("UnknownWord", solnFeatures[FidelDecoder.UNK]);
            features[FidelDecoder.DIST] = new Feature("LinearDistortion", solnFeatures[FidelDecoder.DIST]);
            features[FidelDecoder.LM] = new Feature("LM", solnFeatures[FidelDecoder.LM]);
            int i = FidelDecoder.PT;
            for (String featName : featureNames) {
                features[i] = new Feature(featName.startsWith("TM:") ? featName : ("TM:" + featName), solnFeatures[i]);
                i++;
            }
            if (soln != null) {
                converted.add(new TranslationImpl(soln, srcLabel, trgLang, invWordMap, srcInvMap, features));
            }
        }
        return converted;
    }

    private double[] convertWeights(Feature[] features, List featureNames) {
        double[] wts = new double[featureNames.size()];
        int i = 0;
        for (String featureName : featureNames) {
            for (Feature feat : features) {
                if (feat.name.equals(featureName)) {
                    wts[i] += feat.score;
                }
            }
            i++;
        }
        return wts;
    }

    private static class TranslationImpl implements Translation {

        final Solution solution;
        final Label srcLabel;
        final Label trgLabel;
        final Feature[] features;

        public TranslationImpl(Solution solution, Label srcLabel, Language trgLang, Int2ObjectMap invMap, Int2ObjectMap srcInvMap, Feature[] features) {
            this.solution = solution;
            this.srcLabel = srcLabel;
            this.features = features;
            StringBuilder sb = new StringBuilder();
            for (int w : solution.soln()) {
                if (sb.length() != 0) {
                    sb.append(" ");
                }
                if (w >= 0) {
                    sb.append(invMap.get(w));
                } else {
                    sb.append(srcInvMap.get(-w));
                }
            }
            this.trgLabel = new StringLabel(sb.toString(), trgLang);
        }

        @Override
        public Label getSourceLabel() {
            return srcLabel;
        }

        @Override
        public Label getTargetLabel() {
            return trgLabel;
        }

        @Override
        public URI getEntity() {
            return null;
        }

        @Override
        public double getScore() {
            return solution.score();
        }

        @Override
        @SuppressWarnings("unchecked")
        public Collection getFeatures() {
            return Arrays.asList(features);
        }
    }

    private static class StringLabel implements Label {

        private final String label;
        private final Language language;

        public StringLabel(String label, Language language) {
            this.label = label;
            this.language = language;
        }

        @Override
        public String asString() {
            return label;
        }

        @Override
        public Language getLanguage() {
            return language;
        }
    }
}