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A Java UIMA-based toolbox for multilingual and efficient terminology extraction an multilingual term alignment
/*******************************************************************************
* Copyright 2015 - CNRS (Centre National de Recherche Scientifique)
*
* 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 eu.project.ttc.models.index;
import java.io.IOException;
import java.io.Reader;
import java.io.Writer;
import java.util.List;
import java.util.Map;
import java.util.Set;
import org.apache.commons.io.IOUtils;
import com.fasterxml.jackson.core.JsonFactory;
import com.fasterxml.jackson.core.JsonGenerator;
import com.fasterxml.jackson.core.JsonParseException;
import com.fasterxml.jackson.core.JsonParser;
import com.fasterxml.jackson.core.JsonToken;
import com.google.common.base.Preconditions;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import com.google.common.collect.Sets;
import eu.project.ttc.engines.desc.Lang;
import eu.project.ttc.models.Component;
import eu.project.ttc.models.CompoundType;
import eu.project.ttc.models.ContextVector;
import eu.project.ttc.models.Document;
import eu.project.ttc.models.OccurrenceStore;
import eu.project.ttc.models.Term;
import eu.project.ttc.models.TermBuilder;
import eu.project.ttc.models.TermIndex;
import eu.project.ttc.models.TermOccurrence;
import eu.project.ttc.models.TermVariation;
import eu.project.ttc.models.TermWord;
import eu.project.ttc.models.VariationType;
import eu.project.ttc.models.Word;
import eu.project.ttc.models.WordBuilder;
import eu.project.ttc.models.index.io.IOOptions;
import eu.project.ttc.models.index.io.LoadOptions;
import eu.project.ttc.models.index.io.SaveOptions;
import eu.project.ttc.models.occstore.MemoryOccurrenceStore;
import eu.project.ttc.models.occstore.MongoDBOccurrenceStore;
public class JSONTermIndexIO {
/*
* Error messages for parsing
*/
private static final String MSG_EXPECT_PROP_FOR_VAR = "Expecting %s property for term variation";
private static final String MSG_TERM_DOES_NOT_EXIST = "Error in term variation. Term %s is not present in the dump file. Make sure that terms are defined prior to variants.";
private static final String MSG_EXPECT_PROP_FOR_OCCURRENCE = "Expecting %s property for occurrence";
private static final String MSG_EXPECT_PROP_FOR_TERM_WORD = "Expecting %s property for term word";
/*
* Occurrence storing options
*/
private static final String OCCURRENCE_STORAGE_EMBEDDED = "embedded";
private static final String OCCURRENCE_STORAGE_MONGODB = "MongoDB";
/*
* Json properties
*/
private static final String WORDS = "words";
private static final String METADATA = "metadata";
private static final String LANG = "lang";
private static final String NAME = "name";
private static final String CORPUS_ID = "corpus-id";
private static final String LEMMA = "lemma";
private static final String STEM = "stem";
private static final String COMPOUND_TYPE = "compound_type";
private static final String COMPONENTS = "components";
private static final String BEGIN = "begin";
private static final String END = "end";
private static final String TERMS = "terms";
private static final String ID = "id";
private static final String GROUPING_KEY = "key";
private static final String SYN = "syn";
private static final String FREQUENCY = "freq";
private static final String SPOTTING_RULE = "rule";
private static final String TERM_VARIATIONS = "variations";
private static final String VARIANT_TYPE = "type";
private static final String INFO = "info";
private static final String BASE = "base";
private static final String VARIANT = "variant";
private static final String VARIANT_SCORE = "vscore";
private static final String RANK = "rank";
private static final String SPECIFICITY = "spec";
// private static final String RULE = "rule";
private static final String FILE = "file";
private static final String OCCURRENCES = "occurrences";
private static final String TEXT = "text";
private static final String INPUT_SOURCES = "input_sources";
private static final String CONTEXT = "context";
private static final String CO_OCCURRENCES = "cooccs";
private static final String NB_COCCS = "cnt";
private static final String ASSOC_RATE = "assoc_rate";
private static final String CO_TERM = "co_term";
private static final String TOTAL_COOCCURRENCES = "total_cooccs";
private static final String OCCURRENCE_STORAGE = "occurrence_storage";
private static final String OCCURRENCE_MONGODB_STORE_URI = "occurrence_store_mongodb_uri";
private static final String FREQ_NORM = "f_norm";
private static final String GENERAL_FREQ_NORM = "gf_norm";
private static final String NB_WORD_ANNOTATIONS = "wordsNum";
private static final String NB_SPOTTED_TERMS = "spottedTermsNum";
/**
* Loads the json-serialized term index into the param {@link TermIndex} object.
*
* @param reader
* @param options
* The deserialization {@link IOOptions}.
* @return
* @throws JsonParseException
* @throws IOException
*/
public static TermIndex load(Reader reader, LoadOptions options) throws JsonParseException, IOException {
TermIndex termIndex = null;
JsonFactory jsonFactory = new JsonFactory();
JsonParser jp = jsonFactory.createParser(reader); // or Stream, Reader
jp.enable(JsonParser.Feature.ALLOW_UNQUOTED_FIELD_NAMES);
jp.enable(JsonParser.Feature.STRICT_DUPLICATE_DETECTION);
String fieldname;
String compLemma = null;
int fileSource = -1;
String wordLemma = null;
String syntacticLabel = null;
int begin = -1;
int end = -1;
int nbWordAnnos = -1;
int nbSpottedTerms = -1;
Term b;
Term v;
String text;
String base;
String variant;
// String rule;
String infoToken;
String variantType;
double variantScore;
Map inputSources = Maps.newTreeMap();
Map> contextVectors = Maps.newHashMap();
OccurrenceStore occurrenceStore = null;
// useful var for debug
@SuppressWarnings("unused")
JsonToken tok;
while ((tok = jp.nextToken()) != JsonToken.END_OBJECT) {
fieldname = jp.getCurrentName();
if (METADATA.equals(fieldname)) {
jp.nextToken();
String termIndexName = null;
Lang lang = null;
String corpusID = null;
String occurrenceStorage = null;
String occurrenceStoreURI = null;
while ((tok = jp.nextToken()) != JsonToken.END_OBJECT) {
fieldname = jp.getCurrentName();
if (LANG.equals(fieldname)) {
lang = Lang.forName(jp.nextTextValue());
} else if (NAME.equals(fieldname)) {
termIndexName = jp.nextTextValue();
} else if (NB_WORD_ANNOTATIONS.equals(fieldname)) {
nbWordAnnos = jp.nextIntValue(-1);
} else if (NB_SPOTTED_TERMS.equals(fieldname)) {
nbSpottedTerms = jp.nextIntValue(-1);
} else if (CORPUS_ID.equals(fieldname)) {
corpusID = jp.nextTextValue();
} else if (OCCURRENCE_STORAGE.equals(fieldname)) {
occurrenceStorage = jp.nextTextValue();
} else if (OCCURRENCE_MONGODB_STORE_URI.equals(fieldname)) {
occurrenceStoreURI = jp.nextTextValue();
}
}
Preconditions.checkState(lang != null, "The property meta.lang must be defined");
Preconditions.checkState(termIndexName != null, "The property meta.name must be defined");
if(occurrenceStorage != null && occurrenceStorage.equals(OCCURRENCE_STORAGE_MONGODB)) {
Preconditions.checkNotNull(occurrenceStoreURI, "Missing attribute " + OCCURRENCE_MONGODB_STORE_URI);
occurrenceStore = new MongoDBOccurrenceStore(occurrenceStoreURI, OccurrenceStore.State.INDEXED);
} else
occurrenceStore = new MemoryOccurrenceStore();
termIndex = new MemoryTermIndex(termIndexName, lang, occurrenceStore);
if(corpusID != null)
termIndex.setCorpusId(corpusID);
if(nbWordAnnos != -1)
termIndex.setWordAnnotationsNum(nbWordAnnos);
if(nbSpottedTerms != -1)
termIndex.setSpottedTermsNum(nbSpottedTerms);
if(options.metadataOnly())
return termIndex;
} else if (WORDS.equals(fieldname)) {
jp.nextToken();
while ((tok = jp.nextToken()) != JsonToken.END_ARRAY) {
WordBuilder wordBuilder = WordBuilder.start();
while ((tok = jp.nextToken()) != JsonToken.END_OBJECT) {
fieldname = jp.getCurrentName();
if (LEMMA.equals(fieldname))
wordBuilder.setLemma(jp.nextTextValue());
else if (COMPOUND_TYPE.equals(fieldname))
wordBuilder.setCompoundType(CompoundType.fromName(jp.nextTextValue()));
else if (STEM.equals(fieldname))
wordBuilder.setStem(jp.nextTextValue());
else if (COMPONENTS.equals(fieldname)) {
while ((tok = jp.nextToken()) != JsonToken.END_ARRAY) {
while ((tok = jp.nextToken()) != JsonToken.END_OBJECT) {
fieldname = jp.getCurrentName();
if (LEMMA.equals(fieldname))
compLemma = jp.nextTextValue();
else if (BEGIN.equals(fieldname))
begin = jp.nextIntValue(-2);
else if (END.equals(fieldname))
end = jp.nextIntValue(-2);
}
wordBuilder.addComponent(begin, end, compLemma);
}
}
}
termIndex.addWord(wordBuilder.create());
}
} else if (TERMS.equals(fieldname)) {
jp.nextToken();
while ((tok = jp.nextToken()) != JsonToken.END_ARRAY) {
TermBuilder builder = TermBuilder.start(termIndex);
List currentContextVector = Lists.newArrayList();
int currentTermId = -1;
while ((tok = jp.nextToken()) != JsonToken.END_OBJECT) {
fieldname = jp.getCurrentName();
if (GROUPING_KEY.equals(fieldname))
builder.setGroupingKey(jp.nextTextValue());
else if (SPOTTING_RULE.equals(fieldname))
builder.setSpottingRule(jp.nextTextValue());
else if (ID.equals(fieldname)) {
currentTermId = jp.nextIntValue(-2);
builder.setId(currentTermId);
} else if (RANK.equals(fieldname)) {
builder.setRank(jp.nextIntValue(-1));
} else if (FREQUENCY.equals(fieldname)) {
builder.setFrequency(jp.nextIntValue(-1));
} else {
if (FREQ_NORM.equals(fieldname)) {
jp.nextToken();
builder.setFrequencyNorm((double)jp.getFloatValue());
} else if (SPECIFICITY.equals(fieldname)) {
jp.nextToken();
builder.setSpecificity((double)jp.getDoubleValue());
} else if (GENERAL_FREQ_NORM.equals(fieldname)) {
jp.nextToken();
builder.setGeneralFrequencyNorm((double)jp.getFloatValue());
} else if (WORDS.equals(fieldname)) {
while ((tok = jp.nextToken()) != JsonToken.END_ARRAY) {
wordLemma = null;
syntacticLabel = null;
while ((tok = jp.nextToken()) != JsonToken.END_OBJECT) {
fieldname = jp.getCurrentName();
if (LEMMA.equals(fieldname))
wordLemma = jp.nextTextValue();
else if (SYN.equals(fieldname))
syntacticLabel = jp.nextTextValue();
}
Preconditions.checkArgument(wordLemma != null, MSG_EXPECT_PROP_FOR_TERM_WORD, LEMMA);
Preconditions.checkArgument(syntacticLabel != null, MSG_EXPECT_PROP_FOR_TERM_WORD, SYN);
builder.addWord(termIndex.getWord(wordLemma), syntacticLabel);
}// end words
} else if (OCCURRENCES.equals(fieldname)) {
tok = jp.nextToken();
if(tok == JsonToken.START_ARRAY) {
while ((tok = jp.nextToken()) != JsonToken.END_ARRAY) {
begin = -1;
end = -1;
fileSource = -1;
text = null;
while ((tok = jp.nextToken()) != JsonToken.END_OBJECT) {
fieldname = jp.getCurrentName();
if (BEGIN.equals(fieldname))
begin = jp.nextIntValue(-1);
else if (TEXT.equals(fieldname))
text = jp.nextTextValue();
else if (END.equals(fieldname))
end = jp.nextIntValue(-1);
else if (FILE.equals(fieldname)) {
fileSource = jp.nextIntValue(-1);
}
}
Preconditions.checkArgument(begin != -1, MSG_EXPECT_PROP_FOR_OCCURRENCE, BEGIN);
Preconditions.checkArgument(end != -1, MSG_EXPECT_PROP_FOR_OCCURRENCE, END);
Preconditions.checkArgument(fileSource != -1, MSG_EXPECT_PROP_FOR_OCCURRENCE, FILE);
Preconditions.checkNotNull(inputSources.get(fileSource), "No file source with id: %s", fileSource);
Preconditions.checkNotNull(text, MSG_EXPECT_PROP_FOR_OCCURRENCE, TEXT);
if(occurrenceStore.getStoreType() == OccurrenceStore.Type.MEMORY)
builder.addOccurrence(begin, end, termIndex.getDocument(inputSources.get(fileSource)), text);
}
}
// end occurrences
} else if (CONTEXT.equals(fieldname)) {
@SuppressWarnings("unused")
int totalCooccs = 0;
while ((tok = jp.nextToken()) != JsonToken.END_OBJECT) {
fieldname = jp.getCurrentName();
if (TOTAL_COOCCURRENCES.equals(fieldname))
/*
* value never used since the total will
* be reincremented in the contextVector
*/
totalCooccs = jp.nextIntValue(-1);
else if (CO_OCCURRENCES.equals(fieldname)) {
jp.nextToken();
while ((tok = jp.nextToken()) != JsonToken.END_ARRAY) {
TempVecEntry entry = new TempVecEntry();
while ((tok = jp.nextToken()) != JsonToken.END_OBJECT) {
fieldname = jp.getCurrentName();
if (NB_COCCS.equals(fieldname))
entry.setNbCooccs(jp.nextIntValue(-1));
else if (ASSOC_RATE.equals(fieldname)) {
jp.nextToken();
entry.setAssocRate(jp.getFloatValue());
} else if (CO_TERM.equals(fieldname))
entry.setTermGroupingKey(jp.nextTextValue());
else if (FILE.equals(fieldname)) {
fileSource = jp.nextIntValue(-1);
}
}
currentContextVector.add(entry);
}
}
}
}
} //end if fieldname
} // end term object
builder.createAndAddToIndex();
if(options.withContexts())
contextVectors.put(currentTermId, currentContextVector);
}// end array of terms
} else if (INPUT_SOURCES.equals(fieldname)) {
jp.nextToken();
while ((tok = jp.nextToken()) != JsonToken.END_OBJECT) {
String id = jp.getCurrentName();
try {
inputSources.put(Integer.parseInt(id),jp.nextTextValue());
} catch(NumberFormatException e) {
IOUtils.closeQuietly(jp);
throw new IllegalArgumentException("Bad format for input source key: " + id);
}
}
} else if (TERM_VARIATIONS.equals(fieldname)) {
jp.nextToken();
while ((tok = jp.nextToken()) != JsonToken.END_ARRAY) {
base = null;
variant = null;
infoToken = null;
variantType = null;
variantScore = 0;
while ((tok = jp.nextToken()) != JsonToken.END_OBJECT) {
fieldname = jp.getCurrentName();
if (BASE.equals(fieldname))
base = jp.nextTextValue();
else if (VARIANT.equals(fieldname))
variant = jp.nextTextValue();
else if (VARIANT_TYPE.equals(fieldname))
variantType = jp.nextTextValue();
else if (VARIANT_SCORE.equals(fieldname)) {
jp.nextToken();
variantScore = jp.getDoubleValue();
} else if (INFO.equals(fieldname))
infoToken = jp.nextTextValue();
} // end syntactic variant object
Preconditions.checkNotNull(base, MSG_EXPECT_PROP_FOR_VAR, BASE);
Preconditions.checkNotNull(variant, MSG_EXPECT_PROP_FOR_VAR, VARIANT);
Preconditions.checkNotNull(infoToken, MSG_EXPECT_PROP_FOR_VAR, INFO);
b = termIndex.getTermByGroupingKey(base);
Preconditions.checkNotNull(b, MSG_TERM_DOES_NOT_EXIST, base);
v = termIndex.getTermByGroupingKey(variant);
Preconditions.checkNotNull(v, MSG_TERM_DOES_NOT_EXIST, variant);
VariationType vType = VariationType.fromShortName(variantType);
TermVariation tv = new TermVariation(
vType,
b,
v,
vType == VariationType.GRAPHICAL ? Double.parseDouble(infoToken) : infoToken);
tv.setScore(variantScore);
b.addTermVariation(tv);
} // end syntactic variations array
}
}
jp.close();
if(options.withContexts()) {
/*
* map term ids with terms in context vectors and
* set context vectors
*/
List currentTempVecList;
Term term = null;
Term coTerm = null;
ContextVector contextVector;
for(int termId:contextVectors.keySet()) {
currentTempVecList = contextVectors.get(termId);
term = termIndex.getTermById(termId);
contextVector = new ContextVector(term);
for(TempVecEntry tempVecEntry:currentTempVecList) {
coTerm = termIndex.getTermByGroupingKey(tempVecEntry.getTermGroupingKey());
contextVector.addEntry(coTerm, tempVecEntry.getNbCooccs(), tempVecEntry.getAssocRate());
}
if(!contextVector.getEntries().isEmpty())
term.setContextVector(contextVector);
}
}
return termIndex;
}
public static void save(Writer writer, TermIndex termIndex, SaveOptions options) throws IOException {
JsonFactory jsonFactory = new JsonFactory(); // or, for data binding, org.codehaus.jackson.mapper.MappingJsonFactory
// jsonFactory.configure(f, state)
JsonGenerator jg = jsonFactory.createGenerator(writer); // or Stream, Reader
jg.useDefaultPrettyPrinter();
jg.writeStartObject();
jg.writeFieldName(METADATA);
jg.writeStartObject();
jg.writeFieldName(NAME);
jg.writeString(termIndex.getName());
jg.writeFieldName(LANG);
jg.writeString(termIndex.getLang().getCode());
if(termIndex.getCorpusId() != null) {
jg.writeFieldName(CORPUS_ID);
jg.writeString(termIndex.getCorpusId());
}
jg.writeFieldName(OCCURRENCE_STORAGE);
if(options.isMongoDBOccStore()) {
jg.writeString(OCCURRENCE_STORAGE_MONGODB);
jg.writeFieldName(OCCURRENCE_MONGODB_STORE_URI);
jg.writeString(options.getMongoDBOccStore());
} else if(options.occurrencesEmbedded())
jg.writeString(OCCURRENCE_STORAGE_EMBEDDED);
else
throw new IllegalStateException("Unknown storage mode");
jg.writeFieldName(NB_WORD_ANNOTATIONS);
jg.writeNumber(termIndex.getWordAnnotationsNum());
jg.writeFieldName(NB_SPOTTED_TERMS);
jg.writeNumber(termIndex.getSpottedTermsNum());
jg.writeEndObject();
jg.writeFieldName(INPUT_SOURCES);
int idCnt = 0;
Map inputSources = Maps.newTreeMap();
for(Document d:termIndex.getDocuments())
if(!inputSources.containsKey(d.getUrl()))
inputSources.put(d.getUrl(), ++idCnt);
jg.writeStartObject();
for(String uri:inputSources.keySet()) {
jg.writeFieldName(inputSources.get(uri).toString());
jg.writeString(uri);
}
jg.writeEndObject();
jg.writeFieldName(WORDS);
jg.writeStartArray();
for(Word w:termIndex.getWords()) {
jg.writeStartObject();
jg.writeFieldName(LEMMA);
jg.writeString(w.getLemma());
jg.writeFieldName(STEM);
jg.writeString(w.getStem());
if(w.isCompound()) {
jg.writeFieldName(COMPOUND_TYPE);
jg.writeString(w.getCompoundType().name());
jg.writeFieldName(COMPONENTS);
jg.writeStartArray();
for(Component c:w.getComponents()) {
jg.writeStartObject();
jg.writeFieldName(LEMMA);
jg.writeString(c.getLemma());
jg.writeFieldName(BEGIN);
jg.writeNumber(c.getBegin());
jg.writeFieldName(END);
jg.writeNumber(c.getEnd());
jg.writeEndObject();
}
jg.writeEndArray();
}
jg.writeEndObject();
}
jg.writeEndArray();
Set termVariations = Sets.newHashSet();
jg.writeFieldName(TERMS);
jg.writeStartArray();
for(Term t:termIndex.getTerms()) {
termVariations.addAll(t.getVariations());
jg.writeStartObject();
jg.writeFieldName(ID);
jg.writeNumber(t.getId());
jg.writeFieldName(RANK);
jg.writeNumber(t.getRank());
jg.writeFieldName(GROUPING_KEY);
jg.writeString(t.getGroupingKey());
jg.writeFieldName(WORDS);
jg.writeStartArray();
for(TermWord tw:t.getWords()) {
jg.writeStartObject();
jg.writeFieldName(SYN);
jg.writeString(tw.getSyntacticLabel());
jg.writeFieldName(LEMMA);
jg.writeString(tw.getWord().getLemma());
jg.writeEndObject();
}
jg.writeEndArray();
jg.writeFieldName(FREQUENCY);
jg.writeNumber(t.getFrequency());
jg.writeFieldName(FREQ_NORM);
jg.writeNumber(t.getFrequencyNorm());
jg.writeFieldName(GENERAL_FREQ_NORM);
jg.writeNumber(t.getGeneralFrequencyNorm());
jg.writeFieldName(SPECIFICITY);
jg.writeNumber(t.getSpecificity());
jg.writeFieldName(SPOTTING_RULE);
jg.writeString(t.getSpottingRule());
if(options.withOccurrences() && options.occurrencesEmbedded()) {
jg.writeFieldName(OCCURRENCES);
jg.writeStartArray();
for(TermOccurrence termOcc:t.getOccurrences()) {
jg.writeStartObject();
jg.writeFieldName(BEGIN);
jg.writeNumber(termOcc.getBegin());
jg.writeFieldName(END);
jg.writeNumber(termOcc.getEnd());
jg.writeFieldName(TEXT);
jg.writeString(termOcc.getCoveredText());
jg.writeFieldName(FILE);
jg.writeNumber(inputSources.get(termOcc.getSourceDocument().getUrl()));
jg.writeEndObject();
}
jg.writeEndArray();
}
if(options.withContexts() && t.isContextVectorComputed()) {
jg.writeFieldName(CONTEXT);
jg.writeStartObject();
jg.writeFieldName(TOTAL_COOCCURRENCES);
jg.writeNumber(t.getContextVector().getTotalCoccurrences());
jg.writeFieldName(CO_OCCURRENCES);
jg.writeStartArray();
if(t.isContextVectorComputed()) {
for(ContextVector.Entry contextEntry:t.getContextVector().getEntries()) {
jg.writeStartObject();
jg.writeFieldName(CO_TERM);
jg.writeString(contextEntry.getCoTerm().getGroupingKey());
jg.writeFieldName(NB_COCCS);
jg.writeNumber(contextEntry.getNbCooccs());
jg.writeFieldName(ASSOC_RATE);
jg.writeNumber(contextEntry.getAssocRate());
jg.writeEndObject();
}
}
jg.writeEndArray();
jg.writeEndObject();
}
jg.writeEndObject();
}
jg.writeEndArray();
/* Variants */
jg.writeFieldName(TERM_VARIATIONS);
jg.writeStartArray();
for(TermVariation v:termVariations) {
jg.writeStartObject();
jg.writeFieldName(BASE);
jg.writeString(v.getBase().getGroupingKey());
jg.writeFieldName(VARIANT);
jg.writeString(v.getVariant().getGroupingKey());
jg.writeFieldName(VARIANT_TYPE);
jg.writeString(v.getVariationType().getShortName());
jg.writeFieldName(INFO);
jg.writeString(v.getInfo().toString());
jg.writeFieldName(VARIANT_SCORE);
jg.writeNumber(v.getScore());
jg.writeEndObject();
}
jg.writeEndArray();
jg.writeEndObject();
jg.close();
}
private static class TempVecEntry {
String termGroupingKey;
double assocRate;
int nbCooccs;
public String getTermGroupingKey() {
return termGroupingKey;
}
public void setTermGroupingKey(String termGroupingKey) {
this.termGroupingKey = termGroupingKey;
}
public double getAssocRate() {
return assocRate;
}
public void setAssocRate(double assocRate) {
this.assocRate = assocRate;
}
public int getNbCooccs() {
return nbCooccs;
}
public void setNbCooccs(int nbCooccs) {
this.nbCooccs = nbCooccs;
}
}
}
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