pkuseg-python
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lancopku
pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation
import pkuseg seg = pkuseg.pkuseg(model_name='./pkuseg_postag/') # 开启词性标注功能 text = seg.cut('请帮我打开空调') # 进行分词和词性标注 print(text) 报错如下： Traceback (most recent call last): File "C:/Users/Administrator/Desktop/smart_home_v4.0/test_pkuseg.py", line 3, in seg = pkuseg.pkuseg(model_name='./pkuseg_postag/') # 开启词性标注功能 File...
``` import pkuseg seg = pkuseg.pkuseg(model_name="postag") # 程序会自动下载所对应的细领域模型 text = seg.cut('我爱北京天安门') # 进行分词 print(text) ``` WARNING: features.pkl does not exist, try loading features.json WARNING: features.json does not exist, try loading...
用户词典大概50Mb，其他什么都没有碰，切词效果倒不如不添加字典，大家有遇到这个情况吗？ 看到这里的issue长时间没有更新了，是不是可以弃了。
我粗试用了一下，发现并不能建立对应，所以贵库会做在CTB上做POS的评测吗？如果是，是怎样做的呢？文章链接也可。多谢！
Downloading: "https://github.com/lancopku/pkuseg-python/releases/download/v0.0.16/medicine.zip" to C:\Users\Andy/.pkuseg\medicine.zip Traceback (most recent call last): File "F:/PythonCode/token/test.py", line 3, in seg = pkuseg.pkuseg(model_name='medicine') # 程序会自动下载所对应的细领域模型 File "C:\ProgramData\Anaconda3\envs\pytorch1.4\lib\site-packages\pkuseg\__init__.py", line 207, in __init__ download_model(config.model_urls[model_name], config.pkuseg_home, config.model_hash[model_name]) File "C:\ProgramData\Anaconda3\envs\pytorch1.4\lib\site-packages\pkuseg\download.py",...
seg = pkuseg.pkuseg(postag=True) # 开启词性标注功能 WARNING: features.pkl does not exist, try loading features.json WARNING: features.json does not exist, try loading using old format Traceback (most recent call last): File "",...
您好，我昨天使用了pkuseg，发现python3.7不支持。 python 3.7.1 (default, Dec 14 2018, 19:28:38) [GCC 7.3.0] :: Anaconda, Inc. on linux Type "help", "copyright", "credits" or "license" for more information. >>> import pkuseg Traceback (most recent...
下载模型会超时
Downloading: "https://github.com/lancopku/pkuseg-python/releases/download/v0.0.16/web.zip" to /Users/ricky/.pkuseg/web.zip 2%|▏ | 409600/17478354 [00:08
