use of de.tudarmstadt.ukp.dkpro.core.api.lexmorph.type.pos.POS in project webanno by webanno.
the class PartOfSpeechLayerInitializer method configure.
@Override
public void configure(Project aProject) throws IOException {
TagSet posTagSet = JsonImportUtil.importTagSetFromJson(aProject, new ClassPathResource("/tagsets/mul-pos-ud.json").getInputStream(), annotationSchemaService);
AnnotationLayer tokenLayer = annotationSchemaService.getLayer(Token.class.getName(), aProject);
AnnotationLayer posLayer = new AnnotationLayer(POS.class.getName(), "POS", SPAN_TYPE, aProject, true);
AnnotationFeature tokenPosFeature = new AnnotationFeature(aProject, tokenLayer, "pos", "pos", POS.class.getName());
annotationSchemaService.createFeature(tokenPosFeature);
posLayer.setAttachType(tokenLayer);
posLayer.setAttachFeature(tokenPosFeature);
annotationSchemaService.createLayer(posLayer);
annotationSchemaService.createFeature(new AnnotationFeature(aProject, posLayer, "PosValue", "PosValue", CAS.TYPE_NAME_STRING, "Part-of-speech tag", posTagSet));
}
use of de.tudarmstadt.ukp.dkpro.core.api.lexmorph.type.pos.POS in project webanno by webanno.
the class Tsv3XDeserializer method getOrCreateSpanAnnotation.
private AnnotationFS getOrCreateSpanAnnotation(TsvColumn aCol, TsvUnit aUnit, int aStackingIndex, String aDisambiguationInfo) {
int disambiguationId = aDisambiguationInfo != null ? Integer.valueOf(aDisambiguationInfo) : -1;
// Check if we have seen the same annotation already in the current unit but in another
// column.
AnnotationFS annotation = aUnit.getUimaAnnotation(aCol.uimaType, aStackingIndex);
// If not, check if we have seen the same annotation already in a previous unit
if (annotation == null && disambiguationId != -1) {
annotation = aUnit.getDocument().getDisambiguatedAnnotation(disambiguationId);
if (annotation != null) {
aUnit.addUimaAnnotation(annotation);
// Extend the span of the existing annotation
// Unfortunately, the AnnotationFS interface does not define a setEnd() method.
setFeature(annotation, CAS.FEATURE_BASE_NAME_END, aUnit.getEnd());
}
}
// Still no annotation? Then we have to create one
if (annotation == null) {
annotation = aUnit.getDocument().getJCas().getCas().createAnnotation(aCol.uimaType, aUnit.getBegin(), aUnit.getEnd());
aUnit.addUimaAnnotation(annotation);
// Check if there are slot features that need to be initialized
List<TsvColumn> otherColumnsForType = aUnit.getDocument().getSchema().getColumns(aCol.uimaType);
for (TsvColumn col : otherColumnsForType) {
if (SLOT_TARGET.equals(col.featureType)) {
setFeature(annotation, col.uimaFeature.getShortName(), emptyList());
}
}
// Special handling of DKPro Core Token-attached annotations
if (Lemma.class.getName().equals(aCol.uimaType.getName())) {
TsvToken token = (TsvToken) aUnit;
token.getUimaToken().setLemma((Lemma) annotation);
}
if (Stem.class.getName().equals(aCol.uimaType.getName())) {
TsvToken token = (TsvToken) aUnit;
token.getUimaToken().setStem((Stem) annotation);
}
if (MorphologicalFeatures.class.getName().equals(aCol.uimaType.getName())) {
TsvToken token = (TsvToken) aUnit;
token.getUimaToken().setMorph((MorphologicalFeatures) annotation);
}
if (POS.class.getName().equals(aCol.uimaType.getName())) {
TsvToken token = (TsvToken) aUnit;
token.getUimaToken().setPos((POS) annotation);
}
}
// to extend the range of multi-token IDs.
if (disambiguationId != -1) {
aUnit.getDocument().addDisambiguationId(annotation, disambiguationId);
}
return annotation;
}
use of de.tudarmstadt.ukp.dkpro.core.api.lexmorph.type.pos.POS in project webanno by webanno.
the class Conll2009Reader method convert.
public void convert(JCas aJCas, BufferedReader aReader) throws IOException {
if (readPos) {
try {
posMappingProvider.configure(aJCas.getCas());
} catch (AnalysisEngineProcessException e) {
throw new IOException(e);
}
}
JCasBuilder doc = new JCasBuilder(aJCas);
List<String[]> words;
while ((words = readSentence(aReader)) != null) {
if (words.isEmpty()) {
// markers following each other.
continue;
}
int sentenceBegin = doc.getPosition();
int sentenceEnd = sentenceBegin;
// Tokens, Lemma, POS
Map<Integer, Token> tokens = new HashMap<Integer, Token>();
List<SemPred> preds = new ArrayList<>();
Iterator<String[]> wordIterator = words.iterator();
while (wordIterator.hasNext()) {
String[] word = wordIterator.next();
// Read token
Token token = doc.add(word[FORM], Token.class);
tokens.put(Integer.valueOf(word[ID]), token);
if (wordIterator.hasNext()) {
doc.add(" ");
}
// Read lemma
if (!UNUSED.equals(word[LEMMA]) && readLemma) {
Lemma lemma = new Lemma(aJCas, token.getBegin(), token.getEnd());
lemma.setValue(word[LEMMA]);
lemma.addToIndexes();
token.setLemma(lemma);
}
// Read part-of-speech tag
if (!UNUSED.equals(word[POS]) && readPos) {
Type posTag = posMappingProvider.getTagType(word[POS]);
POS pos = (POS) aJCas.getCas().createAnnotation(posTag, token.getBegin(), token.getEnd());
pos.setPosValue(word[POS].intern());
// WebAnno did not yet backport the coarse grained POS feature from
// DKPro Core 1.9.0
// POSUtils.assignCoarseValue(pos);
pos.addToIndexes();
token.setPos(pos);
}
// Read morphological features
if (!UNUSED.equals(word[FEAT]) && readMorph) {
MorphologicalFeatures morphtag = new MorphologicalFeatures(aJCas, token.getBegin(), token.getEnd());
morphtag.setValue(word[FEAT]);
morphtag.addToIndexes();
}
if (!UNUSED.equals(word[PRED]) && readSemanticPredicate) {
SemPred pred = new SemPred(aJCas, token.getBegin(), token.getEnd());
pred.setCategory(word[PRED]);
pred.addToIndexes();
preds.add(pred);
}
sentenceEnd = token.getEnd();
}
// Dependencies
if (readDependency) {
for (String[] word : words) {
if (!UNUSED.equals(word[DEPREL])) {
int depId = Integer.valueOf(word[ID]);
int govId = Integer.valueOf(word[HEAD]);
// Model the root as a loop onto itself
if (govId == 0) {
// Not using ROOT here because WebAnno cannot deal with elevated
// types
Dependency rel = new Dependency(aJCas);
rel.setGovernor(tokens.get(depId));
rel.setDependent(tokens.get(depId));
rel.setDependencyType(word[DEPREL]);
rel.setBegin(rel.getDependent().getBegin());
rel.setEnd(rel.getDependent().getEnd());
// This is set via FSUtil because we still use the DKPro Core 1.7.0 JCas
// classes
FSUtil.setFeature(rel, "flavor", DependencyFlavor.BASIC);
rel.addToIndexes();
} else {
Dependency rel = new Dependency(aJCas);
rel.setGovernor(tokens.get(govId));
rel.setDependent(tokens.get(depId));
rel.setDependencyType(word[DEPREL]);
rel.setBegin(rel.getDependent().getBegin());
rel.setEnd(rel.getDependent().getEnd());
// This is set via FSUtil because we still use the DKPro Core 1.7.0 JCas
// classes
FSUtil.setFeature(rel, "flavor", DependencyFlavor.BASIC);
rel.addToIndexes();
}
}
}
}
// Semantic arguments
if (readSemanticPredicate) {
// Get arguments for one predicate at a time
for (int p = 0; p < preds.size(); p++) {
List<SemArgLink> args = new ArrayList<>();
for (String[] word : words) {
if (!UNUSED.equals(word[APRED + p])) {
Token token = tokens.get(Integer.valueOf(word[ID]));
SemArg arg = new SemArg(aJCas, token.getBegin(), token.getEnd());
arg.addToIndexes();
SemArgLink link = new SemArgLink(aJCas);
link.setRole(word[APRED + p]);
link.setTarget(arg);
args.add(link);
}
}
SemPred pred = preds.get(p);
pred.setArguments(FSCollectionFactory.createFSArray(aJCas, args));
}
}
// Sentence
Sentence sentence = new Sentence(aJCas, sentenceBegin, sentenceEnd);
sentence.addToIndexes();
// Once sentence per line.
doc.add("\n");
}
doc.close();
}
use of de.tudarmstadt.ukp.dkpro.core.api.lexmorph.type.pos.POS in project webanno by webanno.
the class Conll2009Writer method convert.
private void convert(JCas aJCas, PrintWriter aOut) {
Map<Token, Collection<SemPred>> predIdx = indexCovered(aJCas, Token.class, SemPred.class);
Map<SemArg, Collection<Token>> argIdx = indexCovered(aJCas, SemArg.class, Token.class);
for (Sentence sentence : select(aJCas, Sentence.class)) {
HashMap<Token, Row> ctokens = new LinkedHashMap<Token, Row>();
// Tokens
List<Token> tokens = selectCovered(Token.class, sentence);
// Check if we should try to include the FEATS in output
List<MorphologicalFeatures> morphology = selectCovered(MorphologicalFeatures.class, sentence);
boolean useFeats = tokens.size() == morphology.size();
List<SemPred> preds = selectCovered(SemPred.class, sentence);
for (int i = 0; i < tokens.size(); i++) {
Row row = new Row();
row.id = i + 1;
row.token = tokens.get(i);
row.args = new SemArgLink[preds.size()];
if (useFeats) {
row.feats = morphology.get(i);
}
// If there are multiple semantic predicates for the current token, then
// we keep only the first
Collection<SemPred> predsForToken = predIdx.get(row.token);
if (predsForToken != null && !predsForToken.isEmpty()) {
row.pred = predsForToken.iterator().next();
}
ctokens.put(row.token, row);
}
// Dependencies
List<Dependency> basicDeps = selectCovered(Dependency.class, sentence).stream().filter(dep -> {
String flavor = FSUtil.getFeature(dep, "flavor", String.class);
return flavor == null || DependencyFlavor.BASIC.equals(flavor);
}).collect(Collectors.toList());
for (Dependency rel : basicDeps) {
Row row = ctokens.get(rel.getDependent());
if (row.deprel != null) {
throw new IllegalStateException("Illegal basic dependency structure - token [" + row.token.getCoveredText() + "] is dependent of more than one dependency.");
}
row.deprel = rel;
}
// Semantic arguments
for (int p = 0; p < preds.size(); p++) {
FSArray args = preds.get(p).getArguments();
for (SemArgLink arg : select(args, SemArgLink.class)) {
for (Token t : argIdx.get(arg.getTarget())) {
Row row = ctokens.get(t);
row.args[p] = arg;
}
}
}
// Write sentence in CONLL 2009 format
for (Row row : ctokens.values()) {
int id = row.id;
String form = row.token.getCoveredText();
String lemma = UNUSED;
if (writeLemma && (row.token.getLemma() != null)) {
lemma = row.token.getLemma().getValue();
}
String plemma = lemma;
String pos = UNUSED;
if (writePos && (row.token.getPos() != null)) {
POS posAnno = row.token.getPos();
pos = posAnno.getPosValue();
}
String ppos = pos;
String feat = UNUSED;
if (writeMorph && (row.feats != null)) {
feat = row.feats.getValue();
}
String pfeat = feat;
int headId = UNUSED_INT;
String deprel = UNUSED;
if (writeDependency && (row.deprel != null)) {
deprel = row.deprel.getDependencyType();
headId = ctokens.get(row.deprel.getGovernor()).id;
if (headId == row.id) {
// ROOT dependencies may be modeled as a loop, ignore these.
headId = 0;
}
}
String head = UNUSED;
if (headId != UNUSED_INT) {
head = Integer.toString(headId);
}
String phead = head;
String pdeprel = deprel;
String fillpred = UNUSED;
String pred = UNUSED;
StringBuilder apreds = new StringBuilder();
if (writeSemanticPredicate) {
if (row.pred != null) {
fillpred = "Y";
pred = row.pred.getCategory();
}
for (SemArgLink arg : row.args) {
if (apreds.length() > 0) {
apreds.append('\t');
}
apreds.append(arg != null ? arg.getRole() : UNUSED);
}
}
aOut.printf("%d\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\t%s\n", id, form, lemma, plemma, pos, ppos, feat, pfeat, head, phead, deprel, pdeprel, fillpred, pred, apreds);
}
aOut.println();
}
}
use of de.tudarmstadt.ukp.dkpro.core.api.lexmorph.type.pos.POS in project webanno by webanno.
the class ConllUReader method convert.
public void convert(JCas aJCas, BufferedReader aReader) throws IOException {
if (readPos) {
try {
posMappingProvider.configure(aJCas.getCas());
} catch (AnalysisEngineProcessException e) {
throw new IOException(e);
}
}
JCasBuilder doc = new JCasBuilder(aJCas);
List<String[]> words;
while ((words = readSentence(aReader)) != null) {
if (words.isEmpty()) {
// markers following each other.
continue;
}
int sentenceBegin = doc.getPosition();
int sentenceEnd = sentenceBegin;
int surfaceBegin = -1;
int surfaceEnd = -1;
String surfaceString = null;
// Tokens, Lemma, POS
Int2ObjectMap<Token> tokens = new Int2ObjectOpenHashMap<>();
for (String[] word : words) {
if (word[ID].contains("-")) {
String[] fragments = word[ID].split("-");
surfaceBegin = Integer.valueOf(fragments[0]);
surfaceEnd = Integer.valueOf(fragments[1]);
surfaceString = word[FORM];
continue;
}
// Read token
int tokenIdx = Integer.valueOf(word[ID]);
Token token = doc.add(word[FORM], Token.class);
tokens.put(tokenIdx, token);
if (!StringUtils.contains(word[MISC], "SpaceAfter=No")) {
doc.add(" ");
}
// Read lemma
if (!UNUSED.equals(word[LEMMA]) && readLemma) {
Lemma lemma = new Lemma(aJCas, token.getBegin(), token.getEnd());
lemma.setValue(word[LEMMA]);
lemma.addToIndexes();
token.setLemma(lemma);
}
// Read part-of-speech tag
if (!UNUSED.equals(word[POSTAG]) && readPos) {
Type posTag = posMappingProvider.getTagType(word[POSTAG]);
POS pos = (POS) aJCas.getCas().createAnnotation(posTag, token.getBegin(), token.getEnd());
pos.setPosValue(word[POSTAG]);
pos.addToIndexes();
token.setPos(pos);
}
// Read morphological features
if (!UNUSED.equals(word[FEATS]) && readMorph) {
MorphologicalFeatures morphtag = new MorphologicalFeatures(aJCas, token.getBegin(), token.getEnd());
morphtag.setValue(word[FEATS]);
morphtag.addToIndexes();
token.setMorph(morphtag);
// Try parsing out individual feature values. Since the DKPro Core
// MorphologicalFeatures type is based on the definition from the UD project,
// we can do this rather straightforwardly.
Type morphType = morphtag.getType();
String[] items = word[FEATS].split("\\|");
for (String item : items) {
String[] keyValue = item.split("=");
StringBuilder key = new StringBuilder(keyValue[0]);
key.setCharAt(0, Character.toLowerCase(key.charAt(0)));
String value = keyValue[1];
Feature feat = morphType.getFeatureByBaseName(key.toString());
if (feat != null) {
morphtag.setStringValue(feat, value);
}
}
}
// Read surface form
if (tokenIdx == surfaceEnd) {
int begin = tokens.get(surfaceBegin).getBegin();
int end = tokens.get(surfaceEnd).getEnd();
SurfaceForm surfaceForm = new SurfaceForm(aJCas, begin, end);
surfaceForm.setValue(surfaceString);
surfaceForm.addToIndexes();
surfaceBegin = -1;
surfaceEnd = -1;
surfaceString = null;
}
sentenceEnd = token.getEnd();
}
// Dependencies
if (readDependency) {
for (String[] word : words) {
if (!UNUSED.equals(word[DEPREL])) {
int depId = Integer.valueOf(word[ID]);
int govId = Integer.valueOf(word[HEAD]);
// Model the root as a loop onto itself
makeDependency(aJCas, govId, depId, word[DEPREL], DependencyFlavor.BASIC, tokens, word);
}
if (!UNUSED.equals(word[DEPS])) {
// list items separated by vertical bar
String[] items = word[DEPS].split("\\|");
for (String item : items) {
String[] sItem = item.split(":");
int depId = Integer.valueOf(word[ID]);
int govId = Integer.valueOf(sItem[0]);
makeDependency(aJCas, govId, depId, sItem[1], DependencyFlavor.ENHANCED, tokens, word);
}
}
}
}
// Sentence
Sentence sentence = new Sentence(aJCas, sentenceBegin, sentenceEnd);
sentence.addToIndexes();
// Once sentence per line.
doc.add("\n");
}
doc.close();
}
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