不想看文章的；出门左转，哈工大自然语言处理：http://ltp.ai/index.html
不要急着走，文末有刚出锅的PHP代码[😊]

请求地址：http://39.96.43.154:8080/api
//不要怀疑，就是这个；看着破，但是好用。哈工大的api
请求类型：POST
Content-Type: application/json
参数：{"text":"待分词的文本，1024个字或256个词以内"}
返回json：其中 (返回的json)->words[0]->text 是分词，(返回的json)->words[0]->pos 是词性，第二个分词依次类推 (返回的json)->words[1]->text ，(返回的json)->words[1]->pos 
返回的例子：
{
    "text": "我是邓文怡，我在广东深圳！",
    "nes": [
        {
            "text": "邓文怡",
            "offset": 2,
            "ne": "nh",
            "length": 3
        },
        {
            "text": "广东深圳",
            "offset": 6,
            "ne": "ns",
            "length": 4
        }
    ],
    "words": [
        {
            "id": 0,
            "length": 1,
            "offset": 0,
            "text": "我",
            "pos": "r",
            "parent": 1,
            "relation": "SBV",
            "roles": [],
            "parents": [
                {
                    "parent": 1,
                    "relate": "EXP"
                }
            ]
        },
        {
            "id": 1,
            "length": 1,
            "offset": 1,
            "text": "是",
            "pos": "v",
            "parent": -1,
            "relation": "HED",
            "roles": [
                {
                    "text": "我",
                    "offset": 0,
                    "length": 1,
                    "type": "A0"
                },
                {
                    "text": "邓文怡",
                    "offset": 2,
                    "length": 3,
                    "type": "A1"
                }
            ],
            "parents": [
                {
                    "parent": -1,
                    "relate": "Root"
                }
            ]
        },
        {
            "id": 2,
            "length": 3,
            "offset": 2,
            "text": "邓文怡",
            "pos": "nh",
            "parent": 1,
            "relation": "VOB",
            "roles": [],
            "parents": [
                {
                    "parent": 1,
                    "relate": "LINK"
                }
            ]
        },
        {
            "id": 3,
            "length": 1,
            "offset": 5,
            "text": "，",
            "pos": "wp",
            "parent": 1,
            "relation": "WP",
            "roles": [],
            "parents": [
                {
                    "parent": 1,
                    "relate": "mPUNC"
                }
            ]
        },
        {
            "id": 4,
            "length": 1,
            "offset": 6,
            "text": "我",
            "pos": "r",
            "parent": 5,
            "relation": "SBV",
            "roles": [],
            "parents": [
                {
                    "parent": 5,
                    "relate": "EXP"
                }
            ]
        },
        {
            "id": 5,
            "length": 1,
            "offset": 7,
            "text": "在",
            "pos": "v",
            "parent": 1,
            "relation": "COO",
            "roles": [
                {
                    "text": "我",
                    "offset": 6,
                    "length": 1,
                    "type": "A0"
                },
                {
                    "text": "广东深圳",
                    "offset": 8,
                    "length": 4,
                    "type": "A1"
                }
            ],
            "parents": [
                {
                    "parent": 1,
                    "relate": "eSUCC"
                }
            ]
        },
        {
            "id": 6,
            "length": 2,
            "offset": 8,
            "text": "广东",
            "pos": "ns",
            "parent": 7,
            "relation": "ATT",
            "roles": [],
            "parents": [
                {
                    "parent": 5,
                    "relate": "LOC"
                },
                {
                    "parent": 7,
                    "relate": "FEAT"
                }
            ]
        },
        {
            "id": 7,
            "length": 2,
            "offset": 10,
            "text": "深圳",
            "pos": "ns",
            "parent": 5,
            "relation": "VOB",
            "roles": [],
            "parents": [
                {
                    "parent": 5,
                    "relate": "LOC"
                }
            ]
        },
        {
            "id": 8,
            "length": 1,
            "offset": 12,
            "text": "！",
            "pos": "wp",
            "parent": 1,
            "relation": "WP",
            "roles": [],
            "parents": [
                {
                    "parent": 5,
                    "relate": "mPUNC"
                }
            ]
        }
    ]
}

词性标记集

PHP调用：

<?php
/**
* 发送post请求
 * @param string $url 请求地址
 * @param array $post_data post键值对数据
 * @return string
 */
function send_post2($url, $postdata) {
  $options = array(
    'http' => array(
      'method' => 'POST',
      'header' => array(
              'Content-Type: application/json',
              'Origin: http://ltp.ai',
              'Host: 39.96.43.154:8080',
              'User-Agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/13.1.3 Safari/605.1.15',
              'Referer: http://ltp.ai/',
      ),        
      'content' => $postdata,
      'timeout' => 15 * 60 // 超时时间（单位:s）
    )   
  );    
  $context = stream_context_create($options);
  $result = file_get_contents($url, false, $context);

  return $result;
}
//请求结束
$typemsg = array('text'=>'我是邓文怡，我在广东深圳！');
$typemsg = json_encode($typemsg);//把数组转换为json
$value2 = send_post2('http://39.96.43.154:8080/api',$typemsg);
$value2 = json_decode($value2);//把json转换为对象
foreach($value2->words as $value3){//遍历获得所有分词
    if($value3->pos != 'u' && $value3->pos != 'c' && $value3->pos != 'p'){//排除：助词，例如“的, 地”、连词，例如“和, 虽然”、介词，例如“在, 把”
        echo $value3->text;
        echo '<br>';
    }
}

代码结果：

顺便说一声，也不是打广告哈，科大讯飞已经和哈工大合作建立了“哈工大-讯飞语言云”，
虽说窃读不能叫偷，但白嫖应有风度；我只是为了学习api使用方法用人家哈工大的，公司要用那肯定要科大讯飞，万一崩了怎么办。
好啦，文章就到这里；如果您有什么建议或者不懂的地方；请到评论区留言！