original_docstring: 
      Convert input sentences into syntactic trees.
  
      :param inputs: sentences to be parsed
      :type inputs: list(str)
      :param grammar: ``FeatureGrammar`` or name of feature-based grammar
      :type grammar: nltk.grammar.FeatureGrammar
      :rtype: list(nltk.tree.Tree) or dict(list(str)): list(Tree)
      :return: a mapping from input sentences to a list of ``Tree`` instances.
      
docstring: Convert input sentences into syntactic trees.
docstring_tokens: Convert input sentences into syntactic trees .
code: def parse_sents(inputs, grammar, trace=0):
      """
      Convert input sentences into syntactic trees.
  
      :param inputs: sentences to be parsed
      :type inputs: list(str)
      :param grammar: ``FeatureGrammar`` or name of feature-based grammar
      :type grammar: nltk.grammar.FeatureGrammar
      :rtype: list(nltk.tree.Tree) or dict(list(str)): list(Tree)
      :return: a mapping from input sentences to a list of ``Tree`` instances.
      """
      # put imports here to avoid circult dependencies
      from nltk.grammar import FeatureGrammar
      from nltk.parse import FeatureChartParser, load_parser
  
      if isinstance(grammar, FeatureGrammar):
          cp = FeatureChartParser(grammar)
      else:
          cp = load_parser(grammar, trace=trace)
      parses = []
      for sent in inputs:
          tokens = sent.split()  # use a tokenizer?
          syntrees = list(cp.parse(tokens))
          parses.append(syntrees)
      return parses
code_tokens: def parse_sents ( inputs , grammar , trace = 0 ) : from nltk . grammar import FeatureGrammar from nltk . parse import FeatureChartParser , load_parser if isinstance ( grammar , FeatureGrammar ) : cp = FeatureChartParser ( grammar ) else : cp = load_parser ( grammar , trace = trace ) parses = [ ] for sent in inputs : tokens = sent . split ( ) syntrees = list ( cp . parse ( tokens ) ) parses . append ( syntrees ) return parses
short_docstring: Convert input sentences into syntactic trees.
short_docstring_tokens: Convert input sentences into syntactic trees .
comment: """
      Convert input sentences into syntactic trees.
  
      :param inputs: sentences to be parsed
      :type inputs: list(str)
      :param grammar: ``FeatureGrammar`` or name of feature-based grammar
      :type grammar: nltk.grammar.FeatureGrammar
      :rtype: list(nltk.tree.Tree) or dict(list(str)): list(Tree)
      :return: a mapping from input sentences to a list of ``Tree`` instances.
      """$SEP$# put imports here to avoid circult dependencies$SEP$# use a tokenizer?