如何计算文本文件中各句子字符数？程序计数异常求助

我需要实现一个程序，将文本文件中的内容拆分为句子，并打印每个句子的字符数。我尝试用NLTK的sent_tokenize来分句，但统计结果完全不对。

尝试的代码 #

from collections import defaultdict
import nltk
from nltk.tokenize import word_tokenize
from nltk.tokenize import sent_tokenize,wordpunct_tokenize
import re
import os
import sys
from pathlib import Path
while True:
    try:
        file_to_open =Path(input("\nYOU SELECTED OPTION 8: CALCULATE SENTENCE LENGTH. Please, insert your file path: "))
        with open(file_to_open,'r', encoding="utf-8") 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('\n\n This file contains',len(words),'sentences in total')
wordcounts = []
caracter_count=0
sent_number=1
with open(file_to_open) as f:
    text = f.read()
    sentences = sent_tokenize(text)
    for sentence in sentences:
        if sentence.isspace() !=True:
            caracter_count = caracter_count + 1
            print("Sentence", sent_number,'contains',caracter_count, 'characters')
            sent_number +=1
            caracter_count = caracter_count + 1

当前异常输出 #

This file contains 4 sentences in total
Sentence 1 contains 0 characters
Sentence 2 contains 1 characters
Sentence 3 contains 2 characters
Sentence 4 contains 3 characters

期望输出示例 #

"SENTENCE 1 HAS 35 CHARACTERS"
"SENTENCE 2 HAS 45 CHARACTERS"
...

嘿，我一眼就看到问题出在哪了——你代码里的caracter_count逻辑完全错了！你现在是在循环里每次给它加1，而不是去统计当前句子本身的字符数量。另外还有些冗余的操作，我帮你把代码修正并简化了：

修正后的完整代码 #

from collections import defaultdict
import nltk
from nltk.tokenize import sent_tokenize
import sys
from pathlib import Path

# 第一次运行需要下载分句模型，加上这行避免报错
nltk.download('punkt')

while True:
    try:
        file_to_open = Path(input("\nYOU SELECTED OPTION 8: CALCULATE SENTENCE LENGTH. Please, insert your file path: "))
        with open(file_to_open, 'r', encoding="utf-8") as f:
            text = f.read()
        sentences = sent_tokenize(text)
        break
    except FileNotFoundError:
        print("\nFile not found. Better try again")
    except IsADirectoryError:
        print("\nIncorrect Directory path.Try again")

print(f'\n\n This file contains {len(sentences)} sentences in total')

sent_number = 1
for sentence in sentences:
    # 跳过全是空格的无效句子
    if not sentence.isspace():
        # 直接用len()获取当前句子的字符总数，这才是正确的统计方式！
        char_count = len(sentence)
        # 改成你期望的输出格式
        print(f"SENTENCE {sent_number} HAS {char_count} CHARACTERS")
        sent_number += 1

主要改动点 #

• 删掉重复操作：原来你两次打开文件、两次调用sent_tokenize，现在只需要读取一次文本就够了，省资源还更高效。
• 修正统计逻辑：把错误的caracter_count +=1换成len(sentence)，直接获取句子的实际字符数——这才是你真正需要的统计方式。
• 统一输出格式：调整成和你期望示例一致的大写格式，用f-string让代码更简洁易读。
• 添加模型下载：第一次运行时自动下载NLTK的punkt分句模型，避免出现找不到模型的报错。

现在运行这个代码，就能得到你想要的正确结果啦！

内容的提问来源于stack exchange，提问作者Natalia Resende