Neural networks understand languages primarily through a combination of architecture, training methods, and representation of data. Here’s a high-level overview of how this process works:
### 1. **Data Representation:**
- **Tokenization:** Text data is typically broken down into smaller units called tokens. This could be words, subwords, or characters, depending on the model architecture and the specific application.
- **Embedding:**