| # Enhanced Advanced Tokenizer System | |
| ## 🚀 Overview | |
| Real implementation with actual NLP dependencies and working tokenization. | |
| ## ✅ Features | |
| - **Real Semantic Embeddings**: Using sentence-transformers | |
| - **Mathematical Processing**: SymPy and SciPy integration | |
| - **Named Entity Recognition**: spaCy integration | |
| - **Fractal Analysis**: Mathematical fractal features | |
| - **Fallback Support**: Works even with missing dependencies | |
| - **High Performance**: Optimized for production use | |
| ## 🛠 Installation | |
| ```bash | |
| bash install_enhanced_deps.sh | |
| ``` | |
| ## 🧪 Quick Test | |
| ```bash | |
| python3 simple_working_test.py | |
| python3 enhanced_tokenizer_minimal.py | |
| ``` | |
| ## 📁 Files | |
| - `enhanced_advanced_tokenizer.py` - Full implementation | |
| - `enhanced_tokenizer_minimal.py` - Minimal with fallbacks | |
| - `install_enhanced_deps.sh` - Installation script | |
| - `simple_working_test.py` - Basic test | |
| ## 🔧 Dependencies | |
| - PyTorch 1.9.0+ | |
| - Transformers 4.20.0+ | |
| - Sentence Transformers 2.2.0+ | |
| - spaCy 3.4.0+ | |
| - SymPy 1.11.0+ | |
| - SciPy 1.9.0+ | |
| - scikit-learn 1.1.0+ | |
| Ready for production use! 🎉 | |