Python library for CJK (Chinese, Japanese, and Korean) language dictionary
Python library for CJK (chinese, japanese, korean) data.
This project is under active development. Follow our progress and check back for updates!
$ pip install --user cihai
from cihai.core import Cihai
c = Cihai()
if not c.unihan.is_bootstrapped: # download and install Unihan to db
c.unihan.bootstrap()
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, ...
See API documentation and /examples.
$ 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
--------
All datasets that cihai uses have stand-alone tools to export their data. No library required.
$ git clone https://github.com/cihai/cihai.git`
$ cd cihai/
Bootstrap your environment and learn more about contributing. We use the same conventions / tools across all cihai projects: pytest
, sphinx
, mypy
, ruff
, tmuxp
, and file watcher helpers (e.g. entr(1)
).