Word length predicts word order: "Min-max"-ing drives language evolution

This paper proposes that the Min-Max theory of language behavior, which posits that agents minimize effort while maximizing information, explains word order evolution by demonstrating that the average length of word classes in a massive corpus of 1,942 languages is a stronger predictor of basic word order than genealogical or areal factors.

Hiram Ring

Published Thu, 12 Ma
📖 5 min read🧠 Deep dive

Imagine language as a bustling marketplace where people are constantly trading ideas. For decades, linguists (the market watchers) have been trying to figure out the rules of the trade: Why do some cultures put the "doer" (Subject) first, others put the "action" (Verb) first, and why do these rules change over time?

Some watchers say it's about habit (family history), others say it's about location (neighbors copying each other), and some say it's about brain efficiency (how our minds process words).

This paper, written by Hiram Ring, proposes a new, unifying theory called the "Min-Max" Theory. It suggests that every speaker is secretly playing a high-stakes game of optimization: Minimizing Effort while Maximizing Information.

Here is the breakdown of the paper using simple analogies:

1. The Core Conflict: The "Lazy" vs. The "Smart" Speaker

Imagine you are sending a text message. You have two competing urges:

  • The "Lazy" Urge (Efficiency): You want to type as few letters as possible. You want short words. You want to get the message out fast.
  • The "Smart" Urge (Information): You want to make sure the receiver understands you perfectly. You want to pack in the most important details first so they aren't confused.

The paper argues that languages evolve based on how speakers balance these two urges.

2. The Big Discovery: Word Length is the Clue

The author analyzed a massive library of 1,942 languages (about 25% of the world's languages). They didn't just look at the words; they measured the length of the words (how many letters they have) and compared them to the order of the sentences.

They found a surprising pattern:

  • In languages where the "Doer" comes first (Subject-Verb): The "Doer" words (nouns) tend to be longer and more complex than the action words.
  • In languages where the "Action" comes first (Verb-Subject): The "Action" words (verbs) tend to be longer and more complex than the "Doer" words.

The Analogy: Think of a sentence like a delivery truck.

  • If the truck is carrying a heavy, valuable package (a long, complex word), you want to put it at the front of the truck so the driver knows exactly what they are hauling immediately.
  • If the package is light and simple (a short word like "it" or "he"), you can shove it in the back or let it follow the heavy stuff.

3. Why This Beats "Family" and "Geography"

Usually, if you want to know why a language is the way it is, you ask: "Who are their ancestors?" (Family) or "Who are their neighbors?" (Geography).

  • The Old View: "English puts the Subject first because its ancestors did."
  • The New View: "English puts the Subject first because, in English, the Subject words (nouns) have become longer and more information-heavy than the verbs."

The paper shows that word length predicts word order better than family trees or maps. It's like saying a car's speed is determined more by the engine's horsepower (word length) than by the color of the paint (family history).

4. The "Min-Max" Theory in Action

The author calls this the Min-Max theory (borrowed from video gaming, where players try to minimize stats like "survival" to maximize "damage").

  • Minimize Effort: We use short words (like pronouns: he, she, it) as much as possible because they are easy to say and process.
  • Maximize Information: When we do use a long, complex word (like a specific noun or a detailed verb), we want to put it first in the sentence. Why? Because it carries the most "information." By putting the heavy, informative word first, the listener can predict what comes next, making the whole sentence easier to understand.

The Thought Experiment:
Imagine a tribe inventing a new tool.

  1. At first, they just say "Tool" and "Hit." Both words are short. Order doesn't matter.
  2. Later, they invent many specific tools. The word for "Tool" gets complicated (e.g., "Heavy-wood-spear-for-fishing"). It becomes a long, heavy word.
  3. Because this word is now so heavy with information, the tribe starts putting it first in the sentence to get the main point across immediately.
  4. Over time, the language shifts its whole structure to put the "heavy" words first.

5. The "Time Travel" Proof

To prove this isn't just a coincidence, the author looked at languages that changed over time.

  • Ancient Hebrew used to put the Verb first.
  • Modern Hebrew now puts the Subject first.
  • The Data: When they measured the words, they found that in Ancient Hebrew, the Verbs were the "heavy" ones. In Modern Hebrew, the Nouns became the "heavy" ones.

The language didn't change because of a new king or a new map; it changed because the weight of the words shifted, and the sentence structure rearranged itself to carry the heavy loads first.

Summary

This paper tells us that language isn't just a random collection of rules passed down from grandparents. It is a living, breathing system driven by human psychology.

We are all constantly trying to be efficient (saying less) but also informative (saying more). The way we arrange our sentences is a direct result of balancing these two needs. If your "Subject" words get too long and complex, your language will naturally shift to put them first. If your "Verb" words get heavy, the language will shift to put them first.

The Bottom Line: Word length predicts word order. The heaviest words in your vocabulary get the VIP seat at the front of the sentence.