安装
py@ubuntu:~/models/syntaxnet$ sudo pip install pyltp
[sudo] password for py:
The directory '/home/py/.cache/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
The directory '/home/py/.cache/pip' or its parent directory is not owned by the current user and caching wheels has been disabled. check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
Collecting pyltp
Downloading pyltp-0.1.9.1.tar.gz (3.3MB)
100% |████████████████████████████████| 3.3MB 211kB/s
Installing collected packages: pyltp
Running setup.py install for pyltp ... done
Successfully installed pyltp-0.1.9.1
在https://pan.baidu.com/share/link?shareid=1988562907&uk=2738088569#list/path=%2F 下载模型文件，里面有很多，
我下了ltp_data_v3.4.0.tar.gz，复制到/usr/local
py@ubuntu:~/models/syntaxnet$ sudo cp ~/Desktop/ltp_data_v3.4.0.tar.gz /usr/local
[sudo] password for py:
py@ubuntu:~/models/syntaxnet$ cd /usr/local
py@ubuntu:/usr/local$ ls
bin etc games include lib ltp_data_v3.4.0.tar.gz man sbin share src
解压
py@ubuntu:/usr/local$ sudo tar -xzvf ltp_data_v3.4.0.tar.gz
ltp_data_v3.4.0/
ltp_data_v3.4.0/cws.model
ltp_data_v3.4.0/md5.txt
ltp_data_v3.4.0/ner.model
ltp_data_v3.4.0/parser.model
ltp_data_v3.4.0/pisrl.model
ltp_data_v3.4.0/pos.model
ltp_data_v3.4.0/version
py@ubuntu:/usr/local$ ls
bin games lib ltp_data_v3.4.0.tar.gz sbin src
etc include ltp_data_v3.4.0 man share
重命名
py@ubuntu:/usr/local$ sudo mv ltp_data_v3.4.0 ltp
py@ubuntu:/usr/local$ ls
bin etc games include lib ltp ltp_data_v3.4.0.tar.gz man sbin share src
py@ubuntu:/usr/local$ sudo rm -rf ltp_data_v3.4.0.tar.gz
测试
py@ubuntu:/usr/local$ python
Python 2.7.12 (default, Nov 19 2016, 06:48:10)
[GCC 5.4.0 20160609] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from pyltp import Segmentor
>>> segmentor = Segmentor
>>> segmentor = Segmentor()
>>> segmentor.load("/usr/local/ltp/cws.model")
>>> words = segmentor.segment("这本书很好")
>>> print ' '.join(words)
这 本 书 很 好
>>> segmentor.release()
>>>