Stanford CoreNLP - Exception in thread “main” java.lang.OutOfMemoryError: Java heap space

问题

I am trying to run simple program available on this website https://stanfordnlp.github.io/CoreNLP/api.html
My Program

import java.io.BufferedReader;  
import java.io.BufferedWriter;  
import java.io.FileNotFoundException;  
import java.io.FileReader;  
import java.io.FileWriter;  
import java.io.IOException;  
import java.io.PrintWriter;  
import java.util.List;  
import java.util.Properties;  

import edu.stanford.nlp.ling.CoreAnnotations.NamedEntityTagAnnotation;  
import edu.stanford.nlp.ling.CoreAnnotations.PartOfSpeechAnnotation;  
import edu.stanford.nlp.ling.CoreAnnotations.SentencesAnnotation;  
import edu.stanford.nlp.ling.CoreAnnotations.TextAnnotation;  
import edu.stanford.nlp.ling.CoreAnnotations.TokensAnnotation;  
import edu.stanford.nlp.ling.CoreLabel;  
import edu.stanford.nlp.pipeline.Annotation;  
import edu.stanford.nlp.pipeline.StanfordCoreNLP;  
import edu.stanford.nlp.util.CoreMap;  

public class StanfordClass {

    public static void main(String[] args) throws Exception {
     Properties props = new Properties();
      props.setProperty("annotators", "tokenize, ssplit, pos, lemma, ner, parse");

        StanfordCoreNLP pipeline = new StanfordCoreNLP(props);

        String text = "What is the Weather in Mumbai right now?";
         Annotation document = new Annotation(text);
          pipeline.annotate(document);

        List<CoreMap> sentences = document.get(SentencesAnnotation.class);

       for(CoreMap sentence: sentences) {
          // traversing the words in the current sentence
          // a CoreLabel is a CoreMap with additional token-specific methods
          for (CoreLabel token: sentence.get(TokensAnnotation.class)) {
            // this is the text of the token
            String word = token.get(TextAnnotation.class);
            // this is the POS tag of the token
            String pos = token.get(PartOfSpeechAnnotation.class);
            // this is the NER label of the token
            String ne = token.get(NamedEntityTagAnnotation.class);

            System.out.println(String.format("Print: word: [%s] pos: [%s] ne: [%s]",word, pos, ne));
          }
        }
    }
}  

But getting Exception in thread "main" java.lang.OutOfMemoryError: Java heap space

What I tried
1. if I remove ner (named entity recognizer) property from above code i.e. props.setProperty("annotators", "tokenize, ssplit, pos, lemma, parse");
then the code runs fine.
2.but I required ner(named entity recognizer) hence I increase heap size in eclipse.ini file up to 1g and sure that this much size is far enough for this program and also sure that heap size is not the problem in this case. I think something is missing but not getting that.

回答1:

After lots of searches gets answer here Using Stanford CoreNLP

Use following answer:-
1.Windows -> Preferences
2.Java -> Installed JREs
3.Select the JRE and click on Edit
4.On the default VM arguments field, type in "-Xmx1024M". (or your memory preference, for 1GB of ram it is 1024)
5.Click on finish or OK.

来源：https://stackoverflow.com/questions/47974590/stanford-corenlp-exception-in-thread-main-java-lang-outofmemoryerror-java-h