PROSAGA码农传奇-Nlp-斯坦福NLP API用于其他语言

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    感谢您的回答。但是，当我使用语言“french”添加此选项时，命令wget会失败。
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    我下载了stanford-corenlp-full，其中包括stanford-french-corenlp-models-current.jar。当你看到斯坦福NLP的日志时，我的印象是NLP尝试加载英语。
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  <P>
    我该如何解决？在我的日志上面：
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   <pre>
    <code>
      [main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator tokenize
    [main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ssplit
    [main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator pos
    [main] INFO edu.stanford.nlp.tagger.maxent.MaxentTagger - Reading POS tagger model from edu/stanford/nlp/models/pos-tagger/english-left3words/english-left3words-distsim.tagger ... done [4,6 sec].
    [main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator lemma
    [main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator ner
    [main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.all.3class.distsim.crf.ser.gz ... done [8,0 sec].
    [main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.muc.7class.distsim.crf.ser.gz ... done [5,1 sec].
    [main] INFO edu.stanford.nlp.ie.AbstractSequenceClassifier - Loading classifier from edu/stanford/nlp/models/ner/english.conll.4class.distsim.crf.ser.gz ... done [3,2 sec].
    [main] INFO edu.stanford.nlp.time.JollyDayHolidays - Initializing JollyDayHoliday for SUTime from classpath edu/stanford/nlp/models/sutime/jollyday/Holidays_sutime.xml as sutime.binder.1.
    [main] INFO edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor - Reading TokensRegex rules from edu/stanford/nlp/models/sutime/defs.sutime.txt
    [main] INFO edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor - Read 83 rules
    [main] INFO edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor - Reading TokensRegex rules from edu/stanford/nlp/models/sutime/english.sutime.txt
    [main] INFO edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor - Read 267 rules
    [main] INFO edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor - Reading TokensRegex rules from edu/stanford/nlp/models/sutime/english.holidays.sutime.txt
    [main] INFO edu.stanford.nlp.ling.tokensregex.CoreMapExpressionExtractor - Read 25 rules
    [main] INFO edu.stanford.nlp.pipeline.StanfordCoreNLP - Adding annotator depparse
    [main] INFO edu.stanford.nlp.parser.nndep.DependencyParser - Loading depparse model file: edu/stanford/nlp/models/parser/nndep/english_UD.gz ...
    Exception in thread "main" java.lang.OutOfMemoryError: Java heap space
            at edu.stanford.nlp.parser.nndep.Classifier.preCompute(Classifier.java:661)
            at edu.stanford.nlp.parser.nndep.Classifier.preCompute(Classifier.java:643)
            at edu.stanford.nlp.parser.nndep.DependencyParser.initialize(DependencyParser.java:1168)
            at edu.stanford.nlp.parser.nndep.DependencyParser.loadModelFile(DependencyParser.java:605)
            at edu.stanford.nlp.parser.nndep.DependencyParser.loadFromModelFile(DependencyParser.java:498)
            at edu.stanford.nlp.pipeline.DependencyParseAnnotator.<init>(DependencyParseAnnotator.java:57)
            at edu.stanford.nlp.pipeline.AnnotatorImplementations.dependencies(AnnotatorImplementations.java:273)
            at edu.stanford.nlp.pipeline.AnnotatorFactories$18.create(AnnotatorFactories.java:478)
            at edu.stanford.nlp.pipeline.AnnotatorPool.get(AnnotatorPool.java:152)
            at edu.stanford.nlp.pipeline.StanfordCoreNLP.construct(StanfordCoreNLP.java:451)
            at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:154)
            at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:150)
            at edu.stanford.nlp.pipeline.StanfordCoreNLP.<init>(StanfordCoreNLP.java:137)
            at edu.stanford.nlp.pipeline.StanfordCoreNLP.main(StanfordCoreNLP.java:1326)

</code>
  </pre>
  <P>
    PS：运行wget时发生错误。
  </p>
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