fastlid 0.1.7

Detect languages via a fasttext model

fastlid

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Language identification based on fasttext (lid.176.ftz https://fasttext.cc/docs/en/language-identification.html).

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

• langid.classify: fastlid
• langid.set_languages(langs=[...]): fastlid.set_languages = [...]
  • import fastlid
  • fastlid.set_languages = ['nl','fr'])
• TODO: Commandline interface

Preinstall fasttext for Windows without C compiler

For Windows without a C/C++ compiler:

• Download a proper whl (e.g., fasttext‑0.9.2‑cp36‑cp36m‑win_amd64.whl for 64bits Python 3.6 etc) from https://www.lfd.uci.edu/~gohlke/pythonlibs/#fasttext

pip install fasttext*.whl

This step is not needed if a C/C++ compiler (e.g. Visual C) is present in the system.

Install it

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.

Use it

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.

For Developers

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...