自然语言环境安装部署-优快云博客

本文链接：https://blog.youkuaiyun.com/chengxuefei_bj/article/details/149333885

Microsoft Windows [版本 10.0.22631.5335]
(c) Microsoft Corporation。保留所有权利。

C:\Users\flyycheng>d:

D:\>cd python

D:\python>ls -al
'ls' 不是内部或外部命令，也不是可运行的程序
或批处理文件。

D:\python>dir
驱动器 D 中的卷是 DATA
卷的序列号是 D88D-56AF

D:\python 的目录

2025/07/14 16:07 <DIR> .
2025/07/14 15:58 <DIR> DLLs
2025/07/14 15:58 <DIR> Doc
2025/07/14 15:58 <DIR> include
2025/07/14 16:25 <DIR> Lib
2025/07/14 15:58 <DIR> libs
2021/05/03 11:54 32,628 LICENSE.txt
2021/05/03 11:55 955,561 NEWS.txt
2024/08/19 03:47 <DIR> nltk
2025/07/14 16:05 2,904,691 nltk-3.9.1.tar.gz
2021/05/03 11:54 101,552 python.exe
2021/05/03 11:54 438,272 python.pdb
2021/05/03 11:54 59,568 python3.dll
2021/05/03 11:54 4,211,376 python38.dll
2021/05/03 11:54 11,939,840 python38.pdb
2021/05/03 11:54 8,145,408 python38_d.dll
2021/05/03 11:54 8,302,592 python38_d.pdb
2021/05/03 11:54 70,144 python3_d.dll
2021/05/03 11:54 100,016 pythonw.exe
2021/05/03 11:54 438,272 pythonw.pdb
2021/05/03 11:54 134,656 pythonw_d.exe
2021/05/03 11:54 569,344 pythonw_d.pdb
2021/05/03 11:54 136,704 python_d.exe
2021/05/03 11:54 569,344 python_d.pdb
2025/07/14 15:59 <DIR> Scripts
2025/07/14 15:58 <DIR> tcl
2025/07/14 15:58 <DIR> Tools
2021/05/03 11:54 96,120 vcruntime140.dll
2021/05/03 11:54 36,728 vcruntime140_1.dll
19 个文件 39,242,816 字节
10 个目录 178,926,084,096 可用字节

D:\python>cd Scripts

D:\python\Scripts>dir
驱动器 D 中的卷是 DATA
卷的序列号是 D88D-56AF

D:\python\Scripts 的目录

2025/07/14 15:59 <DIR> .
2025/07/14 16:07 <DIR> ..
2025/07/14 15:59 106,331 pip.exe
2025/07/14 15:59 106,331 pip3.8.exe
2025/07/14 15:59 106,331 pip3.exe
3 个文件 318,993 字节
2 个目录 178,926,084,096 可用字节

D:\python\Scripts>pip install nltk
Collecting nltk
Downloading nltk-3.9.1-py3-none-any.whl (1.5 MB)
|████████████████████████████████| 1.5 MB 726 kB/s
Collecting regex>=2021.8.3
Downloading regex-2024.11.6-cp38-cp38-win_amd64.whl (274 kB)
|████████████████████████████████| 274 kB 3.3 MB/s
Collecting joblib
Downloading joblib-1.4.2-py3-none-any.whl (301 kB)
|████████████████████████████████| 301 kB 6.4 MB/s
Collecting tqdm
Downloading tqdm-4.67.1-py3-none-any.whl (78 kB)
|████████████████████████████████| 78 kB 1.5 MB/s
Collecting click
Downloading click-8.1.8-py3-none-any.whl (98 kB)
|████████████████████████████████| 98 kB 3.8 MB/s
Collecting colorama
Downloading colorama-0.4.6-py2.py3-none-any.whl (25 kB)
Installing collected packages: colorama, tqdm, regex, joblib, click, nltk
Successfully installed click-8.1.8 colorama-0.4.6 joblib-1.4.2 nltk-3.9.1 regex-2024.11.6 tqdm-4.67.1
WARNING: You are using pip version 21.1.1; however, version 25.0.1 is available.
You should consider upgrading via the 'd:\python\python.exe -m pip install --upgrade pip' command.

D:\python\Scripts>pip -m pip install --upgrade pip

Usage:
pip <command> [options]

no such option: -m

D:\python\Scripts>python -m pip install --upgrade pip
Requirement already satisfied: pip in d:\python\lib\site-packages (21.1.1)
Collecting pip
Downloading pip-25.0.1-py3-none-any.whl (1.8 MB)
|████████████████████████████████| 1.8 MB 731 kB/s
Installing collected packages: pip
Attempting uninstall: pip
Found existing installation: pip 21.1.1
Uninstalling pip-21.1.1:
Successfully uninstalled pip-21.1.1
Successfully installed pip-25.0.1

D:\python\Scripts>pip install nltk
Requirement already satisfied: nltk in d:\python\lib\site-packages (3.9.1)
Requirement already satisfied: click in d:\python\lib\site-packages (from nltk) (8.1.8)
Requirement already satisfied: joblib in d:\python\lib\site-packages (from nltk) (1.4.2)
Requirement already satisfied: regex>=2021.8.3 in d:\python\lib\site-packages (from nltk) (2024.11.6)
Requirement already satisfied: tqdm in d:\python\lib\site-packages (from nltk) (4.67.1)
Requirement already satisfied: colorama in d:\python\lib\site-packages (from click->nltk) (0.4.6)

D:\python\Scripts>python
Python 3.8.10 (tags/v3.8.10:3d8993a, May 3 2021, 11:48:03) [MSC v.1928 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>>
>>>
>>> import nltk
>>> nltk.down('punkt')
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: module 'nltk' has no attribute 'down'
>>>
>>>
>>> nltk.download('punkt')
[nltk_data] Downloading package punkt to
[nltk_data] C:\Users\flyycheng\AppData\Roaming\nltk_data...
[nltk_data] Unzipping tokenizers\punkt.zip.
True
>>>
>>>
>>>
>>> import nltk
>>>
>>> text="hello world!i am is fly!!"
>>> from nltk.tokenize import sent_tokenize
>>> sent_tokenize(text)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "D:\python\lib\site-packages\nltk\tokenize\__init__.py", line 119, in sent_tokenize
tokenizer = _get_punkt_tokenizer(language)
File "D:\python\lib\site-packages\nltk\tokenize\__init__.py", line 105, in _get_punkt_tokenizer
return PunktTokenizer(language)
File "D:\python\lib\site-packages\nltk\tokenize\punkt.py", line 1744, in __init__
self.load_lang(lang)
File "D:\python\lib\site-packages\nltk\tokenize\punkt.py", line 1749, in load_lang
lang_dir = find(f"tokenizers/punkt_tab/{lang}/")
File "D:\python\lib\site-packages\nltk\data.py", line 579, in find
raise LookupError(resource_not_found)
LookupError:
**********************************************************************
Resource punkt_tab not found.
Please use the NLTK Downloader to obtain the resource:

>>> import nltk
>>> nltk.download('punkt_tab')

For more information see: https://www.nltk.org/data.html

Attempted to load tokenizers/punkt_tab/english/

Searched in:
- 'C:\\Users\\flyycheng/nltk_data'
- 'D:\\python\\nltk_data'
- 'D:\\python\\share\\nltk_data'
- 'D:\\python\\lib\\nltk_data'
- 'C:\\Users\\flyycheng\\AppData\\Roaming\\nltk_data'
- 'C:\\nltk_data'
- 'D:\\nltk_data'
- 'E:\\nltk_data'
**********************************************************************

>>> import nltk
>>> nltk.download('punkt_tab')
[nltk_data] Downloading package punkt_tab to
[nltk_data] C:\Users\flyycheng\AppData\Roaming\nltk_data...
[nltk_data] Unzipping tokenizers\punkt_tab.zip.
True
>>> sent_tokenize(text)
['hello world!i am is fly!', '!']
>>> text = "Hello world! I am learning NLP. It is fun and useful!"
>>> sentences = sent_tokenize(text)
>>> print(sentences)
['Hello world!', 'I am learning NLP.', 'It is fun and useful!']
>>>