A natural language detection library for Go that identifies 84 languages and scripts with no external dependencies.
Whatlanggo is a natural language detection library for Go that identifies the language and script of text using trigram-based algorithms. It solves the problem of automatically determining text language without requiring external APIs or services. The library supports 84 languages and provides confidence scores for reliable detection.
Go developers building applications that process multilingual text, such as content management systems, translation tools, or text analytics platforms.
Developers choose Whatlanggo for its pure Go implementation with zero dependencies, high performance, and comprehensive language support. It offers a simple API with advanced features like script recognition and reliability scoring.
Natural language detection library for Go
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Supports 84 languages from Afrikaans to Zulu, enabling broad detection without external services, as listed in the SUPPORTED_LANGUAGES.md file.
Optimized with trigram-based algorithms for fast detection, making it suitable for real-time applications and high-throughput data processing, as highlighted in the features.
Pure Go with no external dependencies ensures easy integration and reduces project complexity, a key feature emphasized in the README.
Identifies writing systems like Latin, Cyrillic, and Arabic, adding extra context for text analysis beyond just language detection.
The trigram-based model may yield lower confidence scores for very short texts, as the reliability calculation depends on unique trigram count, limiting effectiveness in edge cases.
Supported languages are fixed and may not include less common or newly added languages without manual updates to the library, potentially lagging behind evolving needs.
Not designed to detect multiple languages within a single text passage, which can be a drawback for processing code-mixed or multilingual content.