Question

我使用以下代码在python NLTK中打印解析树的结果。

        import os
        import nltk
        from nltk.parse import stanford
        from nltk.tokenize import sent_tokenize
        os.environ['STANFORD_PARSER'] = '/home/gadheyan/Project/stanford-parser-full-2014-08-27'
        os.environ['STANFORD_MODELS'] = '/home/gadheyan/Project/stanford-parser-full-2014-08-27'
        parser = stanford.StanfordParser(model_path="/home/gadheyan/Project/stanford-parser-full-2014-08-27/stanford-parser-3.4.1-models/edu/stanford/nlp/models/lexparser/englishPCFG.ser.gz")
        sentences = parser.raw_parse_sents(["A rare black squirrel has become a regular visitor to a suburban garden"])
        print sentences

我期望结果如下：

(ROOT
  (S
    (NP (DT A) (JJ rare) (JJ black) (NN squirrel))
    (VP
      (VBZ has)
      (VP
        (VBN become)
        (NP (DT a) (JJ regular) (NN visitor))
        (PP (TO to) (NP (DT a) (JJ suburban) (NN garden)))))))

但我得到了结果

<listiterator object at 0x7f6ed5c30890>

为什么会这样？

Answer 1

raw_parse_sents的返回类型是iter（iter（Tree）），而不是字符串。 http://www.nltk.org/_modules/nltk/parse/stanford.html

尝试：

for line in sentences:
    for sentence in line:
        sentence.draw()

Stanford Parser and NLTK

当在python NLTK中使用stanford解析器时，结果不会打印

1 个答案: