class_docstr: Interface to the Stanford Parser
class_docstr_tok: ["Interface","to","the","Stanford","Parser"]
docstr: Use StanfordParser to parse a sentence. Takes a sentence as a string;
  before parsing, it will be automatically tokenized and tagged by
  the Stanford Parser.
  
  :param sentence: Input sentence to parse
  :type sentence: str
  :rtype: iter(Tree)
docstr_tok: ["Use","StanfordParser","to","parse","a","sentence",".","Takes","a","sentence","as","a","string",";","before","parsing",",","it","will","be","automatically","tokenized","and","tagged","by","the","Stanford","Parser",".",":","param","sentence",":","Input","sentence","to","parse",":","type","sentence",":","str",":","rtype",":","iter","(","Tree",")"]
code: def raw_parse(self, sentence, verbose=False):
      """
      Use StanfordParser to parse a sentence. Takes a sentence as a string;
      before parsing, it will be automatically tokenized and tagged by
      the Stanford Parser.
  
      :param sentence: Input sentence to parse
      :type sentence: str
      :rtype: iter(Tree)
      """
      return next(self.raw_parse_sents([sentence], verbose))
  
imports: import os
  import tempfile
  import warnings
  from subprocess import PIPE
  from nltk.internals import _java_options, config_java, find_jar_iter, find_jars_within_path, java
  from nltk.parse.api import ParserI
  from nltk.parse.dependencygraph import DependencyGraph
  from nltk.tree import Tree
label_desc: Use image node_id 4 for calling the GenericStanfordParser obj's underlying member method code with example usage: obj.raw_parse(sentence, verbose) and returns: next