Assuming you have a working python environment, you can simply install it using
pip install spacy_fastlang
The library exports a pipeline component called language_detector that will set two spacy extensions
xx as a fallbackimport spacy_fastlang # noqa: F401 # pylint: disable=unused-import
nlp = spacy.load("...")
nlp.add_pipe("language_detector")
doc = nlp(en_text)
doc._.language == "..."
doc._.language_score >= ...
Check the tests to see more examples and available options
Everythin is under MIT except the default model which is distributed under Creative Commons Attribution-Share-Alike License 3.0 by facebook here
FAQs
Language detection using FastText and Spacy
We found that spacy_fastlang 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.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.