Comments (6)
jingjingxupku
commented on July 21, 2024
3
>>> seg.cut("***总书记先后六次就“秦岭违建”作出批示指示") ['习近', '平', '总书记', '先后', '六次', '就', '“', '秦岭', '违建', '”', '作', '出', '批示', '指示']
谢谢您的建议，我们目前使用的的词典还比较小，我们会考虑增加更多的人名地名词典来解决您的问题。
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xxllp
commented on July 21, 2024
直接***都不行吗
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jasperzhong
commented on July 21, 2024
@xxllp 楼上说的对
>>> seg.cut("***")
['习近', '平']from pkuseg-python.
xxllp
commented on July 21, 2024
那估计是词典有问题了
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ShadowTeamCN
commented on July 21, 2024
凉凉
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jingjingxupku
commented on July 21, 2024
>>> seg.cut("***总书记先后六次就“秦岭违建”作出批示指示") ['习近', '平', '总书记', '先后', '六次', '就', '“', '秦岭', '违建', '”', '作', '出', '批示', '指示']
以下是我们新版本的pkuseg的分词结果：
x.cut("***总书记先后六次就“秦岭违建”作出批示指示")
['***', '总书记', '先后', '六', '次', '就', '“', '秦岭', '违建', '”', '作出', '批示', '指示']
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Related Issues (20)
- 下载的zip包删除就会导致重新下载，但是目录下有解压的文件
- 能不能用自训练模型，对文件进行分词啊？ HOT 1
- 打包缺少文件情况 FileNotFoundError: \\cache\\_MEI183882\\pkuseg\\dicts\\default.pkl' HOT 2
- 是否可以支持在 M1下使用 目前直接安装会报错。 HOT 2
- AttributeError: type object 'pkuseg' has no attribute 'pkuseg'
- TypeError: train() got an unexpected keyword argument 'nthread' HOT 1
- 词性标注效果过好 HOT 1
- Python3.9/3.9均无法pip安装成功 HOT 7
- 如何进行领域自适应训练？ HOT 1
- 虚拟环境下使用出现FileNotFoundError，已单独下载postag还是无果
- cannot install in the environment of python 3.9 HOT 6
- pip install failed on Python 3.10.8 HOT 4
- 越训练，f-score越低 HOT 4
- pip install failed on Python 3.10.9 HOT 7
- 词性标注不准
- 预训练模型“default_v2”导入报错 HOT 2
- 祈使句/动宾短语，分词好像有些不对劲呢，望指点，谢谢
- 分词结果严重错误 HOT 5
- 词性输出错误
- Win10 3.10.14 安装失败 HOT 5
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