• Human language is rich, yet could be compressed into binary, raising questions about efficiency. • Researchers Hahn and Futrell model why natural language remains complex instead of digital. • Real‑world experience shapes linguistic structure, making abstract binary representations less intuitive. • Binary encoding would compress meaning but loses contextual nuance humans rely on. • The brain balances efficiency with communicative flexibility, favoring natural language. • Study highlights trade‑offs between information theory and human cognition.
Article Summaries:
- Scientists have explained why human language differs from the compact binary code used by computers. Linguists Michael Hahn (Saarbrücken) and Richard Futrell (UC Irvine) modelled the cognitive costs of encoding speech as digital strings. Their study, published in Nature Human Behaviour, shows that while a binary system could transmit information more efficiently, it would demand far greater mental effort from both speaker and listener. Instead, natural language relies on familiar words and predictable patterns that mirror everyday experience, enabling the brain to anticipate and narrow meaning step by step.
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