Library for CJK (chinese, japanese, korean) language data.
Project description
cihai - Python library for CJK (chinese, japanese, korean) data
This project is under active development. Follow our progress and check back for updates!
Usage
Python library only
$ pip install --user cihaifrom cihai.core import Cihai
c = Cihai()
if not c.unihan.is_bootstrapped: # download and install Unihan to db
c.unihan.bootstrap(unihan_options)
query = c.unihan.lookup_char('好')
glyph = query.first()
print("lookup for 好: %s" % glyph.kDefinition)
# lookup for 好: good, excellent, fine; well
query = c.unihan.reverse_char('good')
print('matches for "good": %s ' % ', '.join([glph.char for glph in query]))
# matches for "good": 㑘, 㑤, 㓛, 㘬, 㙉, 㚃, 㚒, 㚥, 㛦, 㜴, 㜺, 㝖, 㤛, 㦝, ...CLI front-end (cihai-cli)
$ pip install --user cihai-cli# character lookup
$ cihai info 好
char: 好
kCantonese: hou2 hou3
kDefinition: good, excellent, fine; well
kHangul: 호
kJapaneseOn: KOU
kKorean: HO
kMandarin: hǎo
kTang: '*xɑ̀u *xɑ̌u'
kTotalStrokes: '6'
kVietnamese: háo
ucn: U+597D
# reverse lookup
$ cihai reverse library
char: 圕
kCangjie: WLGA
kCantonese: syu1
kCihaiT: '308.302'
kDefinition: library
kMandarin: tú
kTotalStrokes: '13'
ucn: U+5715
--------No library, just data
All datasets that cihai uses have stand-alone tools to export their data. No library required.
unihan-etl - UNIHAN data exports for csv, yaml and json.
Quick links
Python support |
Python 2.7, >= 3.5, pypy |
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MIT |
git repo |
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