Natural Language Compression and the Way Civilizations Collaborate

Natural languages differ not only in vocabulary and grammar but also in
how they compress information.

For a long time, I believed Chinese was simply a more efficient language
because the same content often requires far fewer written characters
than English. Over time, however, I realised that this apparent
advantage comes with an important trade-off.

Chinese has very high encoding efficiency. A single character often
carries pronunciation, meaning and morphological information
simultaneously. Yet high encoding efficiency does not necessarily lead
to high decoding efficiency.

The more information is compressed, the more the reader must reconstruct
from shared background knowledge. Like a compressed data file, higher
compression usually means greater dependence on context during
reconstruction.

Chinese communication therefore relies heavily on shared context.
Speakers often omit subjects, temporal relations and logical connections
because they expect listeners to infer them from the situation. Modern
English, particularly academic English, increasingly does the opposite
by making relationships explicit, using more words to reduce ambiguity.

This distinction also sheds light on social behaviour.

When Chinese people first meet, they frequently ask where someone comes
from, which school they attended or whether they know mutual
acquaintances. These questions are not merely about identity; they are
attempts to establish a shared interpretive background that makes
communication smoother.

Language alone does not determine culture. Social structure, historical
institutions and cultural traditions are equally important.
Nevertheless, language provides a default way of organising information,
and over long periods it reinforces broader cultural patterns.

The contrast becomes even clearer when we compare natural language with
mathematics, programming languages and engineering notation. These
systems deliberately minimise hidden assumptions. Nothing important
should depend on the reader guessing the intended meaning.

Modern science has followed the same direction. Many ideas that once
relied on intuition or implicit understanding have gradually become
explicit, testable and computable.

Rather than asking whether one language is superior to another, it may
be more useful to see different languages as different
information-compression systems.

High compression reduces expression cost but increases dependence on
shared context. Lower compression requires more explicit expression but
supports collaboration across cultures, organisations and disciplines.

Language does more than transmit ideas. It shapes how societies
cooperate. As artificial intelligence, programming languages and
external knowledge systems become increasingly important, human
communication may gradually shift from relying on shared background
toward relying on shared structure. That transition could become one of
the defining characteristics of future civilisation.