Features
- The new method
LanguageDetectorBuilder.with_low_accuracy_mode()has been introduced. By activating it, detection accuracy for short text is reduced in favor of a smaller memory footprint and faster detection performance.
Improvements
- The memory footprint has been reduced significantly by storing the language models in structured NumPy arrays instead of dictionaries. This reduces memory consumption from 2600 MB to 800 MB, approximately.
- Several language model files have become obsolete and could be deleted without decreasing detection accuracy. This results in a smaller memory footprint.
Compatibility
- The lowest supported Python version is 3.8 now. Python 3.7 is no longer compatible with this library.