使用Netbeans的Stanford NER上的Java堆空间错误

我使用斯坦福NER来解析一个句子以获得以下标签：tokenize，ssplit，pos，lemma，ner . 我还通过Project-> Properties-> Run-> VM Options将netbeans中的内存增加到 -Xms1600M -Xmx1600M . 我仍然得到Java内存异常 . 我在Windows 7 JDK 1.7版上运行32位java . 这是我的代码

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;
}

堆栈跟踪 ：

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)

有人可以尽快帮忙吗？