NLP tokenization - Lexsense

Before a machine can do anything meaningful with language — translate it, classify it, generate more of it — it first has to break that language apart. That’s the job of **[tokenization](https://www.moveworks.com/us/en/resources/ai-terms-glossary/tokenization)**: splitting text into smaller, meaningful units called tokens, which might be whole words, fragments of words, individual characters, or even full sentences, depending … Continue reading “Tokenization: How NLP Breaks Down and Rebuilds Text”