Language detection using FastText and Spacy
Project description
spacy_fastlang
Install
Assuming you have a working python environment, you can simply install it using
pip install spacy_fastlang
Usage
The library exports a pipeline component called LanguageDetector
that will set two spacy extensions
- doc._.language = ISO code of the detected language or
xx
as a fallback - doc._.language_score = confidence
from spacy_fastlang import LanguageDetector
nlp = spacy.load("...")
nlp.add_pipe(LanguageDetector())
doc = nlp(en_text)
doc._.language == "..."
doc._.language_score >= ...
Check the tests to see more examples and available options
License
Everythin is under MIT
except the default model which is distributed under Creative Commons Attribution-Share-Alike License 3.0 by facebook here
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
spacy_fastlang-0.2.1.tar.gz
(782.4 kB
view hashes)
Built Distribution
spacy_fastlang-0.2.1-py3-none-any.whl
(780.0 kB
view hashes)
Close
Hashes for spacy_fastlang-0.2.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2e641fb873b37dec259a642799e5a9c876336a952b46b0f0b17631275559a618 |
|
MD5 | bdf60dba28d689fec8dc8ff720dd753d |
|
BLAKE2b-256 | e0c609304f52a5bee9cde72ed5c3a609fa38a7a82760b634d5165e8f324e0369 |