California · IEEE Spectrum AI
ConlangCrafter Turns AI to Imagining Languages
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Key facts
- This story was updated on 29 June 2026 to correct Moran Yanuka’s name as well as the title of the Proceedings of the ACL
- Beguš and the rest of the team, including Morris Alper, a postdoctoral researcher at Carnegie Mellon University, and Moran Yanuka, a Ph
- There are over 7,000 natural languages today, but that doesn’t stop people from occasionally making up completely new ones
- In a paper published 27 June in the Proceedings of the Association of Computational Linguists, researchers analyzed ConlangCrafter’s language-generation abilities, reporting that it can develop
Summary
The model can even create languages based on things like color changes. There are over 7,000 natural languages today, but that doesn’t stop people from occasionally making up completely new ones. In a paper published 27 June in the Proceedings of the Association of Computational Linguists, researchers analyzed ConlangCrafter’s language-generation abilities, reporting that it can develop a diverse array of novel languages that consistently abide by their rules. In previous work, Gašper Beguš, an associate professor of linguistics at the University of California, Berkeley, showed how large language models (LLMs) can analyze languages to the same extent as most humans. “Creating an entire language is not an easy task at all,” Beguš says, noting that some people have dedicated their careers to creating conlangs for movies, books, and video games.