Creating fictional languages is a task that requires deep linguistic knowledge and immense patience. However, an international team of researchers has presented a tool capable of automating this complex process. The ConlangCrafter system has already generated more than 60 unique languages, each possessing its own grammar, phonetics, and vocabulary.

How AI overcomes chaos

Attempts to make modern universal language models create a language in a single prompt usually end in failure. The output is a disjointed set of symbols lacking internal logic and structure. The developers of ConlangCrafter solved this problem by abandoning direct generation in favor of step-by-step construction.

The system breaks down the global task into a sequential chain of subtasks, imitating the work of a professional linguist:

  • Phonetics: The AI determines the set of basic sounds that will be used in the language.
  • Morphology: Rules for word formation and principles for constructing roots are established.
  • Syntax: Rules for sentence construction and agreement of parts of speech are developed.
  • Language Sketch: All developments are combined into a single documentation file, which is constantly updated as the system evolves.

After the basic structure is formed, the system begins translating test sentences from natural languages into the new one. During the translation process, ConlangCrafter automatically analyzes the results, identifies logical contradictions, and promptly makes corrections to the rulebook.

From exotic to aliens

Thanks to a built-in random number generator, the tool is not limited to standard templates. It is capable of creating exotic variations, for example, a language completely devoid of consonant sounds, or a system of visual gestures and colors for fictional alien beings.

The main area of application for ConlangCrafter is the entertainment industry. The technology is designed to speed up the work of linguists creating languages for film franchises, video games, and fiction. However, the scope of use is not limited to science fiction.

Practical application and scientific tasks

Researchers highlight several key areas where the system can be useful:

  • Working with rare languages: Creating synthetic text databases for under-researched languages that have a description of grammar but no digitized literature.
  • Modeling evolution: Investigating how language systems change over time.
  • Robot communication: Developing optimal closed communication protocols between different AI agents.

The problem of quality assessment

The biggest challenge for the project authors was defining the criteria for success. Evaluating creative processes using precise numbers is extremely difficult. To solve this problem, scientists created a special test metric system. It automatically checks how strictly the AI adheres to its own recorded rules when translating new texts, as well as analyzes the diversity of linguistic characteristics in different generated languages.

The development has already sparked significant interest in the scientific community and among tech giants, opening new horizons for digital linguistic creativity.