如何使用NLTK内置函数send_tokenize将法语文本拆分为句子？

Question

我想使用NLTK sent_tokenize读取文本并将其拆分为句子。这该怎么做？我已经使用了wordpunc_tokenize，并且效果很好，但没有send_tokenize。

from collections import defaultdict
import nltk
from nltk.tokenize import 
word_tokenize,sent_tokenize,wordpunct_tokenize
import re
import os
import sys
from pathlib import Path

def stats():

    while True:
        try:
            file_to_open =Path(input("\nPlease, insert your file path: "))

            with open(file_to_open) as f:
                words = word_tokenize(f.read())
                break
        except FileNotFoundError:
            print("\nFile not found. Better try again")
        except IsADirectoryError:
            print("\nIncorrect Directory path.Try again")

    print(words)
    print('\n\nThis text contains',len(words), 'tokens')

def sent_tokenize():

    while True:
        try:
            file_to_open =Path(input("\nPlease, insert your file path: "))

            with open(file_to_open) as f:
                words = sent_tokenize(f.read())
                break
        except FileNotFoundError:
            print("\nFile not found. Better try again")
        except IsADirectoryError:
            print("\nIncorrect Directory path.Try again")

    print(words)
    print('\n\nThis text contains',len(words), 'sentences')


stats()
sent_tokenize()

我想将文本打印成句子，但出现错误消息：

Traceback (most recent call last):
File "/Users/nataliaresende/Dropbox/PYTHON/stats.py", line 46, in 
<module> 
sent_tokenize()
File "/Users/nataliaresende/Dropbox/PYTHON/stats.py", line 40, in 
sent_tokenize
sent=sent_tokenize(words)
TypeError: sent_tokenize() takes 0 positional arguments but 1 was 
given

有人可以帮忙吗？