grammar.py 文件源码

def branch(words):
  """
    This initial filter of our input sentence.
    It tokenizes the words and tags the words with parts of speech.
    It then passes the tokenized and tagged words to 1 of 3 functions.
    A sentence is either declarative() , interrogative() , or imperative()

    Args:
      words (String): The words inputted by the user
    Returns:
      String: response from one of the three functions that handle type of sentences.
  """
  parts_of_speech =  nltk.pos_tag(nltk.word_tokenize(words))
  leading_word = parts_of_speech[0][1][0]
  if leading_word == 'W':
    return interrogative(parts_of_speech[1:])
  elif leading_word == "V":
    return imperative(parts_of_speech)
  else:
    declarative(parts_of_speech)