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fix English part of README

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Dingyuan Wang 2014-10-25 13:16:30 +08:00
parent 31b7d11809
commit 9d2818b440
1 changed files with 24 additions and 20 deletions
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README.md
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@ -400,20 +400,22 @@ Main Functions
**Code example: segmentation**
#encoding=utf-8
import jieba
```python
#encoding=utf-8
import jieba
seg_list = jieba.cut("我来到北京清华大学", cut_all=True)
print "Full Mode:", "/ ".join(seg_list) # 全模式
seg_list = jieba.cut("我来到北京清华大学", cut_all=True)
print "Full Mode:", "/ ".join(seg_list) # 全模式
seg_list = jieba.cut("我来到北京清华大学", cut_all=False)
print "Default Mode:", "/ ".join(seg_list) # 默认模式
seg_list = jieba.cut("我来到北京清华大学", cut_all=False)
print "Default Mode:", "/ ".join(seg_list) # 默认模式
seg_list = jieba.cut("他来到了网易杭研大厦")
print ", ".join(seg_list)
seg_list = jieba.cut("他来到了网易杭研大厦")
print ", ".join(seg_list)
seg_list = jieba.cut_for_search("小明硕士毕业于中国科学院计算所，后在日本京都大学深造") # 搜索引擎模式
print ", ".join(seg_list)
seg_list = jieba.cut_for_search("小明硕士毕业于中国科学院计算所，后在日本京都大学深造") # 搜索引擎模式
print ", ".join(seg_list)
```
Output:
@ -451,7 +453,7 @@ Output:
Example (keyword extraction)
https://github.com/fxsjy/jieba/blob/master/test/extract_tags.py
https://github.com/fxsjy/jieba/blob/master/test/extract_tags.py
Developers can specify their own custom IDF corpus in jieba keyword extraction
@ -474,15 +476,17 @@ Use: `jieba.analyse.textrank(raw_text)`.
* Tags the POS of each word after segmentation, using labels compatible with ictclas.
* Example:
>>> import jieba.posseg as pseg
>>> words = pseg.cut("我爱北京天安门")
>>> for w in words:
... print w.word, w.flag
...
我 r
爱 v
北京 ns
天安门 ns
```pycon
>>> import jieba.posseg as pseg
>>> words = pseg.cut("我爱北京天安门")
>>> for w in words:
... print w.word, w.flag
...
我 r
爱 v
北京 ns
天安门 ns
```
5) : Parallel Processing
-----------