third_codes/jieba
1
0
Fork 0
mirror of https://github.com/fxsjy/jieba.git synced 2025-07-10 00:01:33 +08:00
Code Issues Packages Projects Releases Wiki Activity

fix English part of README

Browse Source
This commit is contained in:
Dingyuan Wang 2014-10-25 13:16:30 +08:00
parent 31b7d11809
commit 9d2818b440
1 changed files with 24 additions and 20 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

44
README.md
View File

@ -400,20 +400,22 @@ Main Functions
**Code example: segmentation** **Code example: segmentation**
#encoding=utf-8 ```python
import jieba #encoding=utf-8
import jieba
seg_list = jieba.cut("我来到北京清华大学", cut_all=True) 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 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) 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 print "Default Mode:", "/ ".join(seg_list) # 默认模式
seg_list = jieba.cut("他来到了网易杭研大厦") seg_list = jieba.cut("他来到了网易杭研大厦")
print ", ".join(seg_list) 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 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) print ", ".join(seg_list)
```
Output: Output:
@ -451,7 +453,7 @@ Output:
Example (keyword extraction) 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 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. * Tags the POS of each word after segmentation, using labels compatible with ictclas.
* Example: * Example:
>>> import jieba.posseg as pseg ```pycon
>>> words = pseg.cut("我爱北京天安门") >>> import jieba.posseg as pseg
>>> for w in words: >>> words = pseg.cut("我爱北京天安门")
... print w.word, w.flag >>> for w in words:
... ... print w.word, w.flag
我 r ...
爱 v 我 r
北京 ns 爱 v
天安门 ns 北京 ns
天安门 ns
```
5) : Parallel Processing 5) : Parallel Processing
----------- -----------