$curl -i -X POST \ 'http://bigdata.hylanda.com/HylandaNlp/hlsegapi/wordseg' \
-H 'id:xx' \
-H 'apikey:xx' \
--data '{"content":"欢迎使用海量分词", "mode":"search" }'
								
							

							
String url = "http://bigdata.hylanda.com/HylandaNlp/hlsegapi/wordseg";
HttpPost httpRequest = new HttpPost(url);
HttpClient httpClient = new DefaultHttpClient();
String strResult = null;
JSONObject datajson = new JSONObject;
datajson.put("content","欢迎使用海量分词");
datajson.put("mode","search"); //使用检索优化版分词

try {
	httpRequest.addHeader("id", id);
	httpRequest.addHeader("apikey", apikey);
	httpRequest.setEntity(new StringEntity(datajson.toJSONString(), "utf-8"));

	HttpResponse httpResponse = httpClient.execute(httpRequest);
	strResult = EntityUtils.toString(httpResponse.getEntity(), HTTP.UTF_8);
	} catch (UnsupportedEncodingException e) {
	e.printStackTrace();
} catch (ParseException e) {
	e.printStackTrace();
} catch (IOException e) {
	e.printStackTrace();
} finally {
		;
}
							
						

							
#! /usr/bin/python2
# -*-coding: UTF-8 -*-
import urllib, urllib2, sys, json
def testSegment():
app_id = "xx"
api_key = "xx"
seg_mode = " search"
url_seg = 'http://bigdata.hylanda.com/HylandaNlp/hlsegapi/wordseg'
is_get_keywords = True
testText = "欢迎使用海量分词"

body_value = {"content": testText, "mode": seg_mode, "keyword": str(is_get_keywords).lower()}
post_data  = json.JSONEncoder().encode(body_value)

request = urllib2.Request(url_seg, post_data)
request.add_header("id", app_id);
request.add_header("apikey", api_key);
response = urllib2.urlopen(request).read().decode('utf-8')

result = json.loads(response)
for x in result[u'items']: print ("%s/%s") % (x[u'word'], x[u'nature']),
print ""
for x in result[u'keywords']: print ("%s:%s") % (x[u'word'], x[u'weight']),
							
						

								
curl -i -X POST 'http://bigdata.hylanda.com/HylandaNlp/hlsegapi/loadusrdict' \
 -H 'id: xx' \
 -H 'apikey: xx' \
 -F 'filename=@自定义词典文件名（全路径）'
								
							

							
String url = "http://bigdata.hylanda.com/HylandaNlp/hlsegapi/loadusrdict";
HttpPost httpRequest = new HttpPost(url);
HttpClient httpClient = new DefaultHttpClient();
String strResult = null;

try {
	File file = new File("usrdict.txt");
    InputStream input = new FileInputStream(file);
	httpRequest.addHeader("id", id);
	httpRequest.addHeader("apikey", apikey);
	httpRequest.setEntity(new InputStreamEntity(input, file.length()));
	HttpResponse httpResponse = httpClient.execute(httpRequest);
	strResult = EntityUtils.toString(httpResponse.getEntity(), HTTP.UTF_8);
} catch (UnsupportedEncodingException e) {
	e.printStackTrace();
} catch (ParseException e) {
	e.printStackTrace();
} catch (IOException e) {
	e.printStackTrace();
} finally {
	;
}
							
						

							
#! /usr/bin/python2
# -*-coding: UTF-8 -*-
import urllib, urllib2, sys, json

def testLoadUserDict():
app_id = "xx"
api_key = "xx"
url_load_usr_dict = 'http://bigdata.hylanda.com/HylandaNlp/hlsegapi/loadusrdict'
post_data = "爱他美奶粉\tn\n海量中文分词系统\tnz\tidf-lv5"

request = urllib2.Request(url_load_usr_dict, post_data)
request.add_header("id", app_id);
request.add_header("apikey", api_key);
response = urllib2.urlopen(request).read().decode('utf-8')

result = json.loads(response)
return result[u'ret'] == u'success'
							
						

								
curl -i -X POST 'http://bigdata.hylanda.com/HylandaNlp/hlsegapi/unloadusrdict' \
 -H 'id: xx' \
 -H 'apikey: xx' \
								
							

							
String url = "http://bigdata.hylanda.com/HylandaNlp/hlsegapi/unloadusrdict";
HttpPost httpRequest = new HttpPost(url);
HttpClient httpClient = new DefaultHttpClient();
String strResult = null;
try {
	httpRequest.addHeader("id", id);
	httpRequest.addHeader("apikey", apikey);
	HttpResponse httpResponse = httpClient.execute(httpRequest);
	strResult = EntityUtils.toString(httpResponse.getEntity(), HTTP.UTF_8);
} catch (UnsupportedEncodingException e) {
	e.printStackTrace();
} catch (ParseException e) {
	e.printStackTrace();
} catch (IOException e) {
	e.printStackTrace();
} finally {
	;
}
							
						

							
#! /usr/bin/python2
# -*-coding: UTF-8 -*-
import urllib, urllib2, sys, json

def testUnloadUsrDict():
app_id = "xx"
api_key = "xx"
url_unload_usr_dict = 'http://bigdata.hylanda.com/HylandaNlp/hlsegapi/unloadusrdict'
post_data = ""

request = urllib2.Request(url_unload_usr_dict, post_data)
request.add_header("id", app_id);
request.add_header("apikey", api_key);
response = urllib2.urlopen(request).read().decode('utf-8')

result = json.loads(response)
return result[u'ret'] == u'success'