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Ckip Segmenter

Project description

Ckip Segmenter

A Python client for the Chinese Word Segmentation System (see provided by Academia Sinica Chinese Knowledge and Information Processing (CKIP) Group. The core was adapted from amigcamel/PyCCS.


Simply run the following command:

pip install ckip-segmenter

If pip is not available, you can also download it manually from PyPI.

Note: Currently only Python 3+ is supported.


Summon a CkipSegmenter


from ckip import CkipSegmenter
segmenter = CkipSegmenter()

text = '詞是最小有意義且可以自由使用的語言單位。任何語言處理的系統都必須先能分辨文本中的詞才能進行進一步的處理'
corpus = [

The result object contains res, tok and pos


result = segmenter.seg(text)
# result.res is a list of tuples contain a token and its pos-tag.
print('result.res: {}\n'.format(result.res))

# result.tok and result.pos contains only tokens and pos-tags respectively.
print('result.tok: {}\n'.format(result.tok))
print('result.pos: {}\n'.format(result.pos))


result.res: [('詞', 'Na'), ('是', 'SHI'), ('最', 'Dfa'), ('小', 'VH'), ('有', 'V_2'), ('意義', 'Na'), ('且', 'Cbb'), ('可以', 'D'), ('自由', 'VH'), ('使用', 'VC'), ('的', 'DE'), ('語言', 'Na'), ('單位', 'Na'), ('。', 'PERIODCATEGORY'), ('任何', 'Neqa'), ('語言', 'Na'), ('處理', 'VC'), ('的', 'DE'), ('系統', 'Na'), ('都', 'D'), ('必須', 'D'), ('先能', 'Nb'), ('分辨', 'VE'), ('文本', 'Nb'), ('中', 'Ng'), ('的', 'DE'), ('詞', 'Na'), ('才能', 'Na'), ('進行', 'VC'), ('進一步', 'D'), ('的', 'DE'), ('處理', 'VC')]

result.tok: ['詞', '是', '最', '小', '有', '意義', '且', '可以', '自由', '使用', '的', '語言', '單位', '。', '任何', '語言', '處理', '的', '系統', '都', '必須', '先能', '分辨', '文本', '中', '的', '詞', '才能', '進行', '進一步', '的', '處理']

result.pos: ['Na', 'SHI', 'Dfa', 'VH', 'V_2', 'Na', 'Cbb', 'D', 'VH', 'VC', 'DE', 'Na', 'Na', 'PERIODCATEGORY', 'Neqa', 'Na', 'VC', 'DE', 'Na', 'D', 'D', 'Nb', 'VE', 'Nb', 'Ng', 'DE', 'Na', 'Na', 'VC', 'D', 'DE', 'VC']

Using batch_seg for a list of text would be slightly faster




8/8 collected.

[<SegResult  詞(Na) 是(SHI) 最(Dfa) 小(VH) 有(V_2) 意義(Na) 且(Cbb) 可以 ...>,
 <SegResult  任何(Neqa) 語言(Na) 處理(VC) 的(DE) 系統(Na) 都(D) 必須(D) 先能 ...>,
 <SegResult  例如(P) 機器(Na) 翻譯(VC) 、(PAUSECATEGORY) 語言(Na) 分析(VC ...>,
 <SegResult  因此(Cbb) 中文(Na) 自動(VH) 分詞(Na) 的(DE) 工作(Na) 成(VG) 了 ...>,
 <SegResult  基本(Na) 上(Ncd) 自動(VH) 分詞(Na) 多(D) 利用(VC) 詞典(Na) 中( ...>,
 <SegResult  找出(VC) 可能(D) 包含(VJ) 的(DE) 詞(Na) ,(COMMACATEGORY)  ...>,
 <SegResult  因此(Cbb) 多數(Neqa) 的(DE) 中文(Na) 分詞(Na) 程式(Na) 多(D)  ...>,
 <SegResult  而(Cbb) 較少(D) 討論(VE) 如何(D) 處理(VC) 詞典(Na) 中(Ng) 未(D ...>]

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