Character Frequency and NLP Foundations: How Zipf's Law Underlies Search Engines and Language Models
Word frequency analysis underlies search engines, compression algorithms, and how large language models learn. Here's Zipf's Law, TF-IDF for meaningful keyword extraction, how word embeddings come from co-occurrence statistics, and why the character frequency distribution you measure is the same foundation that GPT models learn from.
Jun 10, 2026
