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Language identification based on fasttext (lid.176.ftz https://fasttext.cc/docs/en/language-identification.html).
Python3.8, 3.9 only -- there seem to be some problems with python
The lid.176.ftz
file is licensed under Creative Commons Attribution-Share-Alike License 3.0 and is not part of this module. It is automatically downloaded from its external origin on the first run of this module.
This module attempts to immitate the follow two features of langid
pip install fastlid
or install from git
pip install git+https://github.com/ffreemt/fast-langid.git
# also works pip install git+https://github.com/ffreemt/fast-langid
or clone the git repo and install from source.
from fastlid import fastlid, supported_langs
# support 176 languages
print(supported_langs, len(supported_langs))
# ['af', 'als', 'am', 'an', 'ar', 'arz', 'as', 'ast', 'av', 'az'] 176
fastlid("test this")
# ('en', 0.765)
fastlid("test this 测试一下", k=2)
# (['zh', 'en'], [0.663, 0.124])
fastlid.set_languages = ['fr', 'zh']
fastlid("test this 测试吧")
# ('zh', 0.01)
fastlid.set_languages = None
fastlid("test this 测试吧")
('en', 0.686)
fastlid.set_languages = ['fr', 'zh', 'en']
fastlid("test this 测试吧", k=3)
(['en', 'zh', 'fr'], [0.686, 0.01, 0.006])
N.B. hanzidentifier
can be used to identify simplified Chinese or/and traditional Chinese should you need to do so.
Install poetry
and yarn
the way you like it.
poetry install # install python packages
yarn install --dev # install necesary node packages
# ...code...
yarn test
yarn final
# ...optionally submit pr...
FAQs
Detect languages via a fasttext model
We found that fastlid demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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