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hankcs · Feb 4, 2015 · 0570952 · 0570952
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commit 0570952
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diff --git a/README.md b/README.md
@@ -130,12 +130,12 @@ System.out.println(HanLP.segment("你好，欢迎使用HanLP汉语处理包！")
 ### 2. 标准分词
 
 ```java
-List<Term> termList = StandTokenizer.segment("商品和服务");
+List<Term> termList = StandardTokenizer.segment("商品和服务");
 System.out.println(termList);
 ```
 - 说明
   * **HanLP**中有一系列“开箱即用”的静态分词器，以`Tokenizer`结尾，在接下来的例子中会继续介绍。
-  * `HanLP.segment`其实是对`StandTokenizer.segment`的包装。
+  * `HanLP.segment`其实是对`StandardTokenizer.segment`的包装。
 - 算法详解
   * [《词图的生成》](http://www.hankcs.com/nlp/segment/the-word-graph-is-generated.html)
 

diff --git a/src/test/java/com/hankcs/demo/DemoSegment.java b/src/test/java/com/hankcs/demo/DemoSegment.java
@@ -14,7 +14,6 @@
 import com.hankcs.hanlp.HanLP;
 import com.hankcs.hanlp.seg.Segment;
 import com.hankcs.hanlp.seg.common.Term;
-import com.hankcs.hanlp.tokenizer.StandardTokenizer;
 
 import java.util.List;
 

diff --git a/src/test/java/com/hankcs/test/seg/TestSegment.java b/src/test/java/com/hankcs/test/seg/TestSegment.java
@@ -37,7 +37,7 @@ public void testSeg() throws Exception
         HanLP.Config.enableDebug();
         Segment segment = new DijkstraSegment().enableCustomDictionary(false);
         System.out.println(segment.seg(
-                "我喜欢陈膺奥"
+                                               "我喜欢陈膺奥"
         ));
     }