Facebook FastText Language Identification
Fast and accurate language identification model using fastText.
Pricing
Free tier
Flat rate
Adoption
→StableLicense
Open Source
Data freshness
UnverifiedOverview
What is Facebook FastText Language Identification?
A text classification model for identifying the language of a given text. It leverages the fastText library, known for its speed and efficiency in natural language processing tasks.
Key differentiator
“FastText Language Identification stands out due to its speed and efficiency, making it ideal for applications that need quick and accurate language identification without the overhead of more complex models.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
FastText's language identification model is trained on a wide range of languages, but performance may degrade significantly for rare or low-resource languages.
The accuracy of language identification drops when the input text is too short (less than 10-20 characters), as there's insufficient context for accurate classification.
Setting up FastText from source can be challenging due to the need for compiling C++ code, which requires specific compiler versions and library dependencies.
Fit analysis
Who is it for?
✓ Best for
Developers working on multilingual applications who need fast and accurate language identification.
Data scientists processing large volumes of text data from various languages.
✕ Not a fit for
Projects requiring real-time streaming analysis where latency is critical.
Applications that require language detection for extremely rare or unsupported languages.
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Integrations
Next step
Get Started with Facebook FastText Language Identification
Step-by-step setup guide with code examples and common gotchas.