哈工大自然语言处理工具箱之ltp在windows10下的安装使用教程

sudo apt install cmake
sudo apt install g++

cd /mnt/d/bash-sites/ltp-3.4.0

./configure
make

drwxrwxrwx 0 root root 512 Jan 31 15:42 ./
drwxrwxrwx 0 root root 512 Jan 31 15:30 ../
-rwxrwxrwx 1 root root 800 Jan 31 15:30 appveyor.yml*
-rwxrwxrwx 1 root root 0 Jan 31 15:30 AUTHORS*
drwxrwxrwx 0 root root 512 Jan 31 15:53 bin/
drwxrwxrwx 0 root root 512 Jan 31 15:42 build/
-rwxrwxrwx 1 root root 29301 Jan 31 15:30 ChangeLog.md*
drwxrwxrwx 0 root root 512 Jan 31 15:30 cmake/
-rwxrwxrwx 1 root root 1439 Jan 31 15:30 CMakeLists.txt*
drwxrwxrwx 0 root root 512 Jan 31 15:30 conf/
-rwxrwxrwx 1 root root 131 Jan 31 15:30 configure*
-rwxrwxrwx 1 root root 902 Jan 31 15:30 COPYING*
drwxrwxrwx 0 root root 512 Jan 31 15:30 doc/
-rwxrwxrwx 1 root root 79976 Jan 31 15:30 Doxyfile*
drwxrwxrwx 0 root root 512 Jan 31 15:30 examples/
-rwxrwxrwx 1 root root 1028 Jan 31 15:30 .gitignore*
drwxrwxrwx 0 root root 512 Jan 31 15:42 include/
-rwxrwxrwx 1 root root 85 Jan 31 15:30 INSTALL*
drwxrwxrwx 0 root root 512 Jan 31 15:53 lib/
-rwxrwxrwx 1 root root 965 Jan 31 15:30 Makefile*
-rwxrwxrwx 1 root root 6639 Jan 31 15:30 NEWS.md*
-rwxrwxrwx 1 root root 4750 Jan 31 15:30 README.md*
drwxrwxrwx 0 root root 512 Jan 31 15:30 src/
-rwxrwxrwx 1 root root 3048 Jan 31 15:30 subproject.d.json*
drwxrwxrwx 0 root root 512 Jan 31 15:31 thirdparty/
drwxrwxrwx 0 root root 512 Jan 31 15:31 tools/
-rwxrwxrwx 1 root root 1372 Jan 31 15:30 .travis.yml*

import requests
import json
uri_base = "http://127.0.0.1:9090/ltp"
data = {'s': '我认为他叫汤姆去拿外衣和鞋子。', 'x': 'n', 't': 'srl'}
response = requests.get(uri_base, data=data)
rdata = response.json()
print(json.dumps(rdata, indent=4, ensure_ascii=False))

[
 [
 [
 {
 "arg": [],
 "cont": "我",
 "id": 0,
 "ne": "O",
 "parent": 1,
 "pos": "r",
 "relate": "SBV"
 },
 {
 "arg": [
  {
  "beg": 0,
  "end": 0,
  "id": 0,
  "type": "A0"
  },
  {
  "beg": 2,
  "end": 9,
  "id": 1,
  "type": "A1"
  }
 ],
 "cont": "认为",
 "id": 1,
 "ne": "O",
 "parent": -1,
 "pos": "v",
 "relate": "HED"
 },
 {
 "arg": [],
 "cont": "他",
 "id": 2,
 "ne": "O",
 "parent": 3,
 "pos": "r",
 "relate": "SBV"
 },
 {
 "arg": [
  {
  "beg": 2,
  "end": 2,
  "id": 0,
  "type": "A0"
  },
  {
  "beg": 4,
  "end": 4,
  "id": 1,
  "type": "A1"
  },
  {
  "beg": 5,
  "end": 9,
  "id": 2,
  "type": "A2"
  }
 ],
 "cont": "叫",
 "id": 3,
 "ne": "O",
 "parent": 1,
 "pos": "v",
 "relate": "VOB"
 },
 {
 "arg": [],
 "cont": "汤姆",
 "id": 4,
 "ne": "S-Nh",
 "parent": 3,
 "pos": "nh",
 "relate": "DBL"
 },
 {
 "arg": [],
 "cont": "去",
 "id": 5,
 "ne": "O",
 "parent": 6,
 "pos": "v",
 "relate": "ADV"
 },
 {
 "arg": [
  {
  "beg": 7,
  "end": 9,
  "id": 0,
  "type": "A1"
  }
 ],
 "cont": "拿",
 "id": 6,
 "ne": "O",
 "parent": 3,
 "pos": "v",
 "relate": "VOB"
 },
 {
 "arg": [],
 "cont": "外衣",
 "id": 7,
 "ne": "O",
 "parent": 6,
 "pos": "n",
 "relate": "VOB"
 },
 {
 "arg": [],
 "cont": "和",
 "id": 8,
 "ne": "O",
 "parent": 9,
 "pos": "c",
 "relate": "LAD"
 },
 {
 "arg": [],
 "cont": "鞋子",
 "id": 9,
 "ne": "O",
 "parent": 7,
 "pos": "n",
 "relate": "COO"
 },
 {
 "arg": [],
 "cont": "。",
 "id": 10,
 "ne": "O",
 "parent": 1,
 "pos": "wp",
 "relate": "WP"
 }
 ]
 ]
]

from pyltp import SentenceSplitter
sents = SentenceSplitter.split('元芳你怎么看？我就趴窗口上看呗！') # 分句
print('\n'.join(sents))