Paasaa
An Elixir library for natural language and script detection using statistical analysis without AI.
What is Paasaa?
Paasaa is an Elixir library for robust natural language and script detection. It uses statistical analysis of character n-grams and Unicode script properties to accurately identify the writing system and human language of text, aiding in tasks like text processing and internationalization.
Elixir developers working on applications that require language or script identification, such as those handling multilingual text processing, natural language understanding, or internationalization features.
Developers choose Paasaa for its deterministic, AI-free statistical detection that avoids complex dependencies, along with flexible options like whitelisting, blacklisting, and configurable thresholds for refined control over results.
Overview
🔤 Natural language detection for Elixir without AI
Use Cases
Best For
- Accurately detecting the language of user-generated text in Elixir applications using ISO 639-3 codes.
- Identifying the writing system (e.g., Latin, Cyrillic) of text with confidence scores for script-based processing.
- Refining language detection by whitelisting or blacklisting specific languages to reduce false positives.
- Handling short text inputs by adjusting minimum length thresholds to control detection sensitivity.
- Integrating lightweight, statistical language detection into Elixir projects without relying on AI or heavy dependencies.
- Supporting internationalization workflows by determining the language of content for proper localization handling.
Not Ideal For
- Applications requiring AI-based language detection for mixed-language or noisy text
- Projects needing real-time processing of large text datasets where speed is critical
- Teams looking for extensive dialect support beyond standard ISO 639-3 codes
Pros & Cons
Pros
Uses statistical n-grams and Unicode properties for consistent results without AI variability, aligning with its philosophy of reliability.
Supports whitelisting, blacklisting, and min-length thresholds, as shown in advanced usage examples, allowing refined control over detection.
Easy to add as an Elixir dependency with minimal setup, per installation instructions, avoiding heavy external dependencies.
Identifies writing systems with confidence scores, useful for internationalization tasks, demonstrated in the detect_script function.
Cons
Statistical methods may struggle with short or ambiguous texts, often returning 'und' or low confidence, necessitating manual threshold adjustments.
Updating language data requires running a generation script, adding complexity compared to auto-updating libraries, as noted in the contributing section.
As an Elixir-specific port, it lacks the broader tooling and community support of multi-language solutions like Franc, limiting integration options.
Frequently Asked Questions
Related Projects
gibranGibran is an Elixir natural language processor, and a port of WordsCounted.
WoollyThe Text Mining Elixir
PetrovichElixir library to inflect Russian first, last, and middle names.
TongueElixir port of Nakatani Shuyo's natural language detector
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.