Question

我目前正在Windows 10桌面上工作。我正在尝试将Java转换为Python。

Java使用以下代码直接调用StanfordCoreNLP pipeline ...

    Properties props = new Properties();
    props.put("annotators", "tokenize, ssplit, pos, lemma, ner, regexner");
    props.put("ner.model", serializedClassifier);
    props.put("pos.model", posModel);
    props.put("tokenize.language", "de");
    props.put("ssplit.isOneSentence", "true");
    props.put("ssplit.language", "de");
    props.put("lemma.language", "de");
    props.put("regexner.mapping", Init.REGEXNER);

    StanfordCoreNLP pipeline = new StanfordCoreNLP(props);
    // Subsequent calls to pipeline...

我需要将其更改为可访问Windows框上运行的StanfordCoreNLPServer服务器的Python代码，该命令以... ... p开头

java -mx4g --add-modules java.se.ee -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -props "c:\Users\(snip)\(snip)\project.properties"

我已经像这样创建了一个属性文件（project.properties）...

    annotators = tokenize, ssplit, pos, lemma, ner, regexner
    ner.model = "/edu/stanford/nlp/models/ner/german.conll.hgc_175m_600.crf.ser.gz
    pos.model = posModel
    tokenize.language = de
    ssplit.isOneSentence = true
    ssplit.language = de
    lemma.language = de
    regexner.mapping = /misc/regex_mappings_surnames.txt,misc/regex_mappings_general.txt,misc/regex_mappings_towns_and_villages.txt,misc/regex_mappings_streets_with_numbers_and_abr.txt,misc/regex_mappings_international_firstnames.txt
    outputExtens on = .output
    port = 9000
    timeout = 30000

但是我不确定它实际上是否正确设置了所有参数，尤其是与文件/ java路径关联的参数。

例如/misc/regex_mappings_surnames.txt居住在C:\Users\(snip)\(snip)\Eclipseworkspace\eclipse_project_name\misc\

和/edu/stanford/nlp/models/ner/german.conll.hgc_175m_600.crf.ser.gz（我认为）生活在C:\Users\(snip)\(snip)\stanford-corenlp-full-2017-06-09\stanford-german-corenlp-2017-06-09-models.jar中（不是在Eclipse项目目录中，而是在我开始StanfordCoreNLPServer的根目录中）。

启动时服务器输出是...

C:\> cd C:\Users\(snip)\(snip)\stanford-corenlp-full-2017-06-09\
C:\Users\(snip)\(snip)\stanford-corenlp-full-2017-06-09> java -mx4g --add-modules java.se.ee -cp "*" edu.stanford.nlp.pipeline.StanfordCoreNLPServer -props "c:\Users\(snip)\(snip)\project.properties"
[main] INFO CoreNLP - --- StanfordCoreNLPServer #main() called ---
[main] INFO CoreNLP - setting default constituency parser
[main] INFO CoreNLP - warning: cannot find edu/stanford/nlp/models/srparser/englishSR.ser.gz
[main] INFO CoreNLP - using: edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz instead
[main] INFO CoreNLP - to use shift reduce parser download English models jar from:
[main] INFO CoreNLP - http://stanfordnlp.github.io/CoreNLP/download.html
[main] INFO CoreNLP -     Threads: 4
[main] INFO CoreNLP - Starting server...
[main] INFO CoreNLP - StanfordCoreNLPServer listening at /0:0:0:0:0:0:0:0:9000

...这就是为什么我不确定使用正确的设置的原因。我的代码使用StanfordCoreNLPServer产生输出，但不是完全正确的输出。我不熟悉StanfordNLP，StanfrdNLPServer或Java，所以不要以为我知道我应该知道的东西。

将代码内的Java属性转换为StanfordCoreNLPServer的属性文件

0 个答案: