Saved in:
Bibliographic Details
Main Authors: Taguchi, Chihiro, Sproat, Richard
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2510.07591
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866915944018739200
author Taguchi, Chihiro
Sproat, Richard
author_facet Taguchi, Chihiro
Sproat, Richard
contents We present a system that uses LLMs as a tool in the development of Constructed Languages -- ConLangs, which we call IASC (Interactive Agentic System for ConLangs). The system is modular in that it creates each of the components -- phonology, morphology and syntax, lexicon, orthography, and grammatical handbook, using module-specific sets of prompts. The approach is agentic in that various modules allow for refining the output given automatically-generated commentary on a previous step. Our main goals are twofold. First, we aim to provide tools that facilitate an engaging and enjoyable experience in creating artificially constructed languages. Second, the focus of this paper is on using our ConLang framework as a novel way to explore what LLMs 'know' about language -- not what they know about any particular language or encyclopedic facts, but how much they know about and understand language and linguistic concepts. In the experiments, we particularly focus on the morphosyntax module and show that there is a fairly wide gulf in capabilities both among different LLMs and among different linguistic specifications, with it being notably easier for systems to deal with more typologically common patterns than rarer ones. All code is released.
format Preprint
id arxiv_https___arxiv_org_abs_2510_07591
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Creating ConLangs to Probe the Metalinguistic Grammatical Knowledge of LLMs
Taguchi, Chihiro
Sproat, Richard
Computation and Language
We present a system that uses LLMs as a tool in the development of Constructed Languages -- ConLangs, which we call IASC (Interactive Agentic System for ConLangs). The system is modular in that it creates each of the components -- phonology, morphology and syntax, lexicon, orthography, and grammatical handbook, using module-specific sets of prompts. The approach is agentic in that various modules allow for refining the output given automatically-generated commentary on a previous step. Our main goals are twofold. First, we aim to provide tools that facilitate an engaging and enjoyable experience in creating artificially constructed languages. Second, the focus of this paper is on using our ConLang framework as a novel way to explore what LLMs 'know' about language -- not what they know about any particular language or encyclopedic facts, but how much they know about and understand language and linguistic concepts. In the experiments, we particularly focus on the morphosyntax module and show that there is a fairly wide gulf in capabilities both among different LLMs and among different linguistic specifications, with it being notably easier for systems to deal with more typologically common patterns than rarer ones. All code is released.
title Creating ConLangs to Probe the Metalinguistic Grammatical Knowledge of LLMs
topic Computation and Language
url https://arxiv.org/abs/2510.07591