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A Modular Architecture for Typologically Controlled Lexicon Generation

Summary

A modular framework for generating pronounceable, typologically plausible, and semantically structured artificial lexicons. It samples phoneme inventories from PHOIBLE, generates word forms under interchangeable phonological grammars (deterministic, OT, MaxEnt), and assigns meanings via Swadesh-Leipzig-Jakarta ontology. Evaluation shows probabilistic grammars outperform deterministic and random baselines in phonotactic coherence and typological realism.

SourcearXiv Computational LinguisticsAuthor: Sankalp Tattwadarshi Swain, Dhruv Kumar
A Modular Architecture for Typologically Controlled Lexicon Generation
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[2605.28824] A Modular Architecture for Typologically Controlled Lexicon Generation

[Submitted on 7 Apr 2026]

Title:A Modular Architecture for Typologically Controlled Lexicon Generation

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Abstract:Constructing artificial lexicons that are pronounceable, typologically plausible, and semantically structured remains an open challenge in computational linguistics. Existing conlang generators either lack formal phonotactic guarantees or delegate generation to opaque, non-reproducible LLM-based pipelines. We propose a modular framework that samples phoneme inventories from PHOIBLE, generates word forms under interchangeable phonological grammars (deterministic, OT, and MaxEnt), and assigns meanings via a Swadesh--Leipzig--Jakarta ontology with explicit form--meaning alignment. Evaluation on character $n$-gram perplexity, log-likelihood, and KL divergence against PHOIBLE across lexicon sizes of 100-5,000 forms shows that probabilistic grammars consistently outperform deterministic and random baselines on both phonotactic coherence and typological realism.

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Computation and Language (cs.CL)

Cite as: arXiv:2605.28824 [cs.CL]

(or arXiv:2605.28824v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2605.28824

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From: Sankalp Tattwadarshi Swain [view email] [v1] Tue, 7 Apr 2026 04:23:47 UTC (786 KB)

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Key points

  • Modular framework combining PHOIBLE, multiple phonological grammars, and semantic ontology
  • MaxEnt grammar shows best performance in phonotactic patterns and typological realism
  • Supports lexicon sizes from 100 to 5,000 forms, outperforming existing methods

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