import sys
import nltk
import random
import re

# Grab a file from standard input, dump it in a string.
source_text = sys.stdin.read()

# Use NLTK to make some guesses about each word's part of speech.
token_text = nltk.word_tokenize(source_text)
pos_text = nltk.pos_tag(token_text)

# Set up a dictionary where each key is a POS holding a list
# of each word of that type from the text.
pos_table = dict()

for tagged_word in pos_text:
  # Create the list, if it doesn't exist already.
  if tagged_word[1] not in pos_table:
    pos_table[tagged_word[1]] = list()
    
  pos_table[tagged_word[1]].append(tagged_word[0])

# Scramble the word lists.
for pos_key in pos_table:
  random.shuffle(pos_table[pos_key])

# Rebuild the text.
output = str()

for tagged_word in pos_text:
  # Take the last word from the scrambled list.
  word = pos_table[tagged_word[1]].pop()
  
  # Leave out the space if it's punctuation.
  if not re.match("[\.,;:'!?]", word):
    output +=  " "
  
  # Accmulate the words
  output +=  word

# Remove white space.
output = output.strip()

print output