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Natural language detection library for Rust.

Whatlang is a natural language detection library written in Rust. It's designed for high accuracy and speed in identifying the language of a given text. The library uses a combination of techniques, including n-gram analysis and character frequency analysis, to determine the most likely language. Its architecture is based on a modular design, making it easily extensible for new languages or detection methods. Whatlang can be used in various applications, such as content filtering, automated translation systems, and multilingual text processing pipelines. Because it's written in Rust, it offers memory safety and performance benefits, making it suitable for resource-constrained environments and high-throughput systems. It can also be used in web services via WebAssembly. The library is open-source and freely available.
Whatlang is a natural language detection library written in Rust.
Explore all tools that specialize in text classification. This domain focus ensures Whatlang delivers optimized results for this specific requirement.
Utilizes n-gram frequency analysis to identify languages based on common character sequences.
Employs character frequency analysis to determine the language based on the statistical distribution of characters.
Supports a wide range of languages, continuously expanding its language coverage.
Allows users to define custom language profiles for specific domains or dialects.
Can be compiled to WebAssembly for use in web browsers and other WASM-compatible environments.
Install Rust and Cargo.
Add Whatlang as a dependency in your Cargo.toml file.
Import the Whatlang crate in your Rust code.
Create an instance of the Detector struct.
Call the `detect()` method with the text to be analyzed.
Process the returned `Option<Lang>` enum to identify the detected language.
Handle potential errors or uncertainties in language detection.
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