Kamelo: A Rule-Based Constructed Language for Universal, Logical Communication

post by Saif Khan (saif-khan) · 2025-04-16T18:44:00.139Z · LW · GW · 7 comments

Contents

  Introduction
  Motivation and Design Goals
  Core Mechanics of Kamelo
  Encoding Example: Apple
  Use Cases
  Counterpoints & Limitations
  Future Work
  Why I'm Posting on LessWrong
  Call for Feedback
None
7 comments

Introduction

Natural languages are messy, ambiguous, and often inefficient for transmitting structured ideas. Kamelo is a proposal for a constructed language designed to address these issues by building words from logical, compositional units. This post outlines the foundations of Kamelo—a rule-based, expandable language using fixed character sets and hierarchical categories to represent meaning with minimal ambiguity or memorization.

Kamelo is not intended to replace natural languages but rather to serve as a meta-language: a bridge for logical communication between humans, AIs, and across cultures, especially in low-bandwidth or assistive contexts. This proposal is relevant to LessWrong’s audience as it touches on rationality, AI alignment, and communication efficiency.

 

Motivation and Design Goals

  1. Logical Construction: Every word is built from layered semantic categories—no arbitrary mappings.
  2. No Memory Dependence: You can understand a word’s meaning by parsing its parts, not memorizing vocabulary.
  3. Minimal Ambiguity: Sentence-level communication inherits meaning clearly from word-level rules.
  4. Scalable: Works for both common and rare concepts using multi-level, logical trees.
  5. Human-AI Symbiosis: Useful in alignment protocols, translation layers, or accessible UI design.

 

Core Mechanics of Kamelo

Alphabet Fixed 5-symbol phoneme set: ka, me, lo, ti, su (All words are built from these like a base-5 prefix tree)

Word Structure (Example: "apple")

LevelEncodesExample Segment
L1Word typeka = Noun
L2Noun subtypeka = Proper noun
L3Domainsu = Species
L4Biological classme = Plant
L5Subclassti = Fruit
L6–L8Meaning specificitysu-ka-ka-me (apple)

Each level is chosen from a tree of categories with 5 branches per level. More common distinctions appear earlier (shorter words).

 

Encoding Example: Apple

ka     → Noun  
ka     → Proper Noun  
su     → Species  
me     → Plant  
ti     → Fruit  
su     → Family: Rosaceae  
ka     → Sweet taste  
ka     → Crunchy texture  
me     → Tree-grown  

Resulting Kamelo word: kakasu meti susukakakakame

This structure is entirely self-descriptive if you know the rules.

Use Cases

 

Counterpoints & Limitations

 

Future Work

 

Why I'm Posting on LessWrong

Kamelo is a rational attempt to reduce ambiguity in human language. It touches on:

I’m publishing this to invite critique, collaboration, and exploration into whether Kamelo can be a useful construct—not just for theory, but for real-world protocols and tools.

 

Call for Feedback

I'd love to hear thoughts on:


7 comments

Comments sorted by top scores.

comment by Screwtape · 2025-04-16T21:08:07.706Z · LW(p) · GW(p)

I love a good conlang. This one feels like an interesting start, though I'll be upfront and say I don't think this is a bottleneck on anything AI related.

Some thoughts and questions, in no particular order:

  • "Here's how words are made" is a start. What's the grammar like? I think that's where a lot of ambiguity creeps in to language.
  • Am I allowed to stop an encoding partway? For instance, am I allowed to say kakasu meti su to just mean noun, it's a fruiting plant in the Rosaceae family, or do I have to keep going to be grammatically correct?
  • I kind of like the idea of a tree structure that gets more specific as you go. Five phonemes seems too few though- I like what you're doing with the consonant/vowel setup, but extra options seem very useful for compactness and there's more options.
  • Related- do you mind doing the IPA for the phonemes? I'm curious whether for instance "ti" is pronounced like "tired" (tɑɪəd) or like "tin" (tɪn) or "me" is pronounced like "meet" (mit) or "met" (mɛt)
  • How do pronouns work?

It's reasonable not to have answers for these yet, I don't know what stage of conlang creation you're on.

Replies from: saif-khan
comment by Saif Khan (saif-khan) · 2025-04-17T04:10:22.178Z · LW(p) · GW(p)

Hey, Thanks so much for diving into Kamelo, you’ve nailed exactly the kind of questions I’m wrestling with.

Grammar & Ambiguity

You're totally right — grammar is where ambiguity really enters. Right now, Kamelo doesn’t have a fixed grammar yet. But the idea is:

  • Word order is generally SVO (subject-verb-object), like English.
  • Modifiers (adjectives, adverbs) follow what they modify.
  • Punctuation-like tokens may act as "semantic closers" to end a branch of a conceptual tree.

Stopping Mid-Structure

Yes! You can stop mid-encoding. That's a key principle: Kamelo is compressible based on shared context, like how we say "the fruit" instead of "a Rosaceae angiosperm of genus Malus". The idea is to transmit enough meaning for the moment, and go deeper if needed.

That’s why a base like
kakasu meti su
("noun, fruiting plant, [Rosaceae]")
could be totally valid in conversation, and even shorten further in high-context.

Phoneme Clarification (IPA)

This is still flexible, but currently considering:

SyllableIPANotes
ka/ka/like "car"
me/me/like "meh"
ti/ti/like "tea"
su/su/like "soo"
lo/lo/like "low"

The goal is max distinctiveness across modalities — so these sounds are spread in mouth shape, tongue placement, and timing (good for speech-to-sign or tactile mapping later).

Pronouns

Pronouns aren’t fixed "words" like in English. Instead, they act like references. For example:

  • ka → "living entity"
  • Then you can say lo after that in the same convo to refer back to that entity.

So something like:
ka ti = "the dog"
lo me = "it is happy"
(Assuming me = happy or emotive state)

They behave more like pointing mechanisms in programming, and are scope-bound to context.

Final Thoughts

You're spot on: 5 syllables is limiting — Kamelo is intentionally extreme, like a design provocation. It pushes me to see how much abstraction and compression can be done before the system collapses. Future iterations might have 12–20 syllables for balance.

comment by Viliam · 2025-04-17T22:45:51.263Z · LW(p) · GW(p)

How would a language like this survive a change in ontology? You take a category and split it into 5 subcategories. What if two years later you find out that a sixth subcategory exists?

If you update the language, you would have to rewrite all existing texts. The problem would not be that they contain archaic words -- it would be that all the words are still used, but now they mean something different.

Seemingly similar words (prepending one syllable to a long word or a sentence) will result in a wildly different meaning.

comment by Trevor Hill-Hand (Jadael) · 2025-04-17T00:06:29.497Z · LW(p) · GW(p)

Reminds me of Solresol, except being a 5-tree makes it so it could fit a pentatonic scale, which is fun.

Replies from: saif-khan
comment by Saif Khan (saif-khan) · 2025-04-17T04:21:16.696Z · LW(p) · GW(p)

Yesss! Solresol is definitely a spiritual cousin — and you're right, the pentatonic scale connection is super interesting.

Kamelo using 5 phonemes intentionally echoes both:

  • the pentatonic musical scale (so it could be spoken, signed, or played as music),
  • and tree-based semantic logic, where each level refines the concept more.

Solresol mapped syllables to meanings too, but Kamelo’s twist is:

  • Tree depth encodes specificity.
  • Context compression is built-in (like pronouns or omitted branches).
  • Designed from the start to be machine-readable, signable, musical, and tactile.

So theoretically:

  • A blind person could feel a string of raised tactile glyphs.
  • A deaf person could see it signed.
  • A device could parse and translate it.
  • And a musician could sing meaning.
comment by Hruss (henry-russell) · 2025-04-16T19:34:08.114Z · LW(p) · GW(p)

Is there a way to learn this language? I imagine it would be much more difficult for beginners to have to understand an arbitrary tree structure than individual words

Replies from: saif-khan
comment by Saif Khan (saif-khan) · 2025-04-17T04:58:03.060Z · LW(p) · GW(p)

Yes, It is more difficult to understand arbitrary tree structure but the goal is make the tree more and more logical and less and less arbitrary, we need a perfectly logical tree that could describe every meaning (if possible) or atleast as close as possible. When its more logical it'll be easier to learn and hard to master.