I am using Stanford NER to parse a sentence for getting following tags : tokenize,ssplit,pos,lemma,ner. I also increased memory in netbeans by Project->Properties->Run->VM Options to -Xms1600M -Xmx1600M. Still I am getting Java out of memory exception.
I am running 32-bit java, on windows 7 JDK version 1.7.
Here is my code
public ArrayList<String> NERTokensRet(String string) {
ArrayList<String> myArr = new ArrayList<String>();
props = new Properties();
props.put("annotators", "tokenize,ssplit,pos,lemma,ner");
pipeline = new StanfordCoreNLP(props);
// String resultString = string.replaceAll("[^\\p{L}\\p{N}]", " ");
Annotation annotation = new Annotation(string);
pipeline.annotate(annotation);
int j;
for (CoreMap sentence : annotation.get(CoreAnnotations.SentencesAnnotation.class)) {
List<CoreLabel> tokens = sentence.get(CoreAnnotations.TokensAnnotation.class);
for (j = 0; j < tokens.size(); j++) {
CoreLabel token = tokens.get(j);
myArr.add("[" + token.originalText() + "," + token.tag() + "," + token.beginPosition() + "," + token.endPosition() + "]");
}
//System.out.println(myArr);
}
return myArr;
}
StackTrace :
Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
at java.lang.AbstractStringBuilder.<init>(AbstractStringBuilder.java:45)
at java.lang.StringBuilder.<init>(StringBuilder.java:68)
at java.io.ObjectInputStream$BlockDataInputStream.readUTFBody(ObjectInputStream.java:2998)
at java.io.ObjectInputStream$BlockDataInputStream.readUTF(ObjectInputStream.java:2819)
at java.io.ObjectInputStream.readString(ObjectInputStream.java:1598)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1319)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:350)
at java.util.HashMap.readObject(HashMap.java:1030)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25)
at java.lang.reflect.Method.invoke(Method.java:597)
at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:974)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1848)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1752)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1328)
at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1946)
at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1870)
at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1752)
at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1328)
at java.io.ObjectInputStream.readObject(ObjectInputStream.java:350)
at edu.stanford.nlp.ie.crf.CRFClassifier.loadClassifier(CRFClassifier.java:2255)
at edu.stanford.nlp.ie.AbstractSequenceClassifier.loadClassifier(AbstractSequenceClassifier.java:1444)
at edu.stanford.nlp.ie.AbstractSequenceClassifier.loadClassifier(AbstractSequenceClassifier.java:1421)
at edu.stanford.nlp.ie.AbstractSequenceClassifier.loadClassifier(AbstractSequenceClassifier.java:1500)
at edu.stanford.nlp.ie.AbstractSequenceClassifier.loadClassifier(AbstractSequenceClassifier.java:1487)
at edu.stanford.nlp.ie.crf.CRFClassifier.getClassifier(CRFClassifier.java:2386)
at edu.stanford.nlp.ie.ClassifierCombiner.loadClassifierFromPath(ClassifierCombiner.java:130)
at edu.stanford.nlp.ie.ClassifierCombiner.loadClassifiers(ClassifierCombiner.java:116)
at edu.stanford.nlp.ie.ClassifierCombiner.<init>(ClassifierCombiner.java:98)
at edu.stanford.nlp.ie.NERClassifierCombiner.<init>(NERClassifierCombiner.java:64)
at edu.stanford.nlp.pipeline.StanfordCoreNLP$6.create(StanfordCoreNLP.java:500)
Can some one please help as soon as possible?
I uninstalled everything(java and netbeans) and reinstalled everything(java and netbeans). It is still not able to assign -Xmx1400m but assigns -Xmx1000m and works well. Thank you everyone for your effort.