ckipnlp 0.6.3

Git

https://github.com/ckiplab/ckipnlp

PyPI

https://pypi.org/project/ckipnlp

Documentation

http://ckipnlp.readthedocs.io/

Author / Maintainer

• Mu Yang at CKIP (Author & Maintainer)

• Wei-Yun Ma at CKIP (Maintainer)

Requirements

• Python 3.5+

• Cython 0.29+

• TreeLib 1.5+

Install Using Pip

pip install --upgrade ckipnlp
pip install --no-deps --force-reinstall --upgrade ckipnlp \
   --install-option='--ws' \
   --install-option='--ws-dir=<ckipws-linux-root>' \
   --install-option='--parser' \
   --install-option='--parser-dir=<ckipparser-linux-root>'

Ignore ws/parser options if one doesn’t have CKIPWS/CKIP-Parser.

Installation Options

CKIPWS

import ckipnlp.ws
print(ckipnlp.__name__, ckipnlp.__version__)

ws = ckipnlp.ws.CkipWs(logger=False)
print(ws('中文字喔'))
for l in ws.apply_list(['中文字喔', '啊哈哈哈']): print(l)

ws.apply_file(ifile='sample/sample.txt', ofile='output/sample.tag', uwfile='output/sample.uw')
with open('output/sample.tag') as fin:
    print(fin.read())
with open('output/sample.uw') as fin:
    print(fin.read())

CKIP-Parser

import ckipnlp.parser
print(ckipnlp.__name__, ckipnlp.__version__)

ps = ckipnlp.parser.CkipParser(logger=False)
print(ps('中文字喔'))
for l in ps.apply_list(['中文字喔', '啊哈哈哈']): print(l)

ps = ckipnlp.parser.CkipParser(logger=False)
print(ps('中文字喔'))
for l in ps.apply_list(['中文字喔', '啊哈哈哈']): print(l)
ps.apply_file(ifile='sample/sample.txt', ofile='output/sample.tree')
with open('output/sample.tree') as fin:
    print(fin.read())

Utilities

import ckipnlp
print(ckipnlp.__name__, ckipnlp.__version__)

from ckipnlp.util.ws import *
from ckipnlp.util.parser import *

# Format CkipWs output
ws_text = ['中文字(Na)　喔(T)', '啊哈(I)　哈哈(D)']

# Show Sentence List
ws_sents = WsSentenceList.from_text(ws_text)
print(repr(ws_sents))
print(ws_sents.to_text())

# Show Each Sentence
for ws_sent in ws_sents: print(repr(ws_sent))
for ws_sent in ws_sents: print(ws_sent.to_text())

# Show CkipParser output as tree
tree_text = 'S(theme:NP(property:N‧的(head:Nhaa:我|Head:DE:的)|Head:Nad(DUMMY1:Nab:早餐|Head:Caa:和|DUMMY2:Naa:午餐))|quantity:Dab:都|Head:VC31:吃完|aspect:Di:了)'
tree = ParserTree.from_text(tree_text)
tree.show()

# Get dummies of node 5
for node in tree.get_dummies(5): print(node)

# Get heads of node 1
for node in tree.get_heads(1): print(node)

# Get relations
for rel in tree.get_relations(0): print(rel)