Its task is simple: It tells you which language some text is written in. This is very useful as a preprocessing step for linguistic data in natural language processing applications such as text classification and spell checking. Other use cases, for instance, might include routing e-mails to the right geographically located customer service department, based on the e-mails' languages. Language detection is often done as part of large machine learning frameworks or natural language processing applications. In cases where you don't need the full-fledged functionality of those systems or don't want to learn the ropes of those, a small flexible library comes in handy.
Features
- Supports over 75 languages with high accuracy
- Works with short text inputs for reliable detection
- Uses statistical models instead of dictionaries
- Open-source and easy to integrate with Python applications
- Allows confidence scoring for multiple language probabilities
- Optimized for performance and efficiency
Categories
Natural Language Processing (NLP)License
Apache License V2.0Follow Lingua-Py
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