本文是通过调用百度npl的api，识别语序，代码如下：
import urllib.request, sysimport sslimport requestsimport jsonfrom itertools import productfrom itertools import combinationsimport itertoolsimport timenum_list=["千","马","万","军"]tmp_list = itertools.permutations(num_list)res_list=[]for one in tmp_list:res_list.append(one)print(res_list)print(res_list[0][0])# client_id 为官网获取的AK， client_secret 为官网获取的SKhost = '/oauth/2.0/token?grant_type=client_credentials&client_id=官网获取的AK&client_secret=官网获取的SK'request = urllib.request.Request(host)request.add_header('Content-Type', 'application/json; charset=UTF-8')response = urllib.request.urlopen(request)content = response.read()print(eval(str(content,'utf-8'))["access_token"])accesstoken=eval(str(content,'utf-8'))["access_token"]goodone=""cs=10000for i in range(len(res_list)):mm=""for j in range(len(res_list[i])):mm=mm+res_list[i][j]print(mm)time.sleep(0.20)url = '/rpc/2.0/nlp/v2/dnnlm_cn?access_token='+accesstokenbody = {"text":mm}headers = {'content-type': "application/json"}response = requests.post(url, data=json.dumps(body), headers=headers)print(int(eval(response.text)["ppl"]))if(int(eval(response.text)["ppl"])<cs):goodone=eval(response.text)["text"]cs=int(eval(response.text)["ppl"])print(goodone)
如果觉得《npl自然语言理解测试》对你有帮助，请点赞、收藏，并留下你的观点哦！
