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This paper presents a modular framework for generating artificial lexicons that are pronounceable, typologically plausible, and semantically structured, using phoneme inventories from PHOIBLE and probabilistic grammars, outperforming deterministic baselines.
This paper investigates brain-LLM alignment across English, Chinese, and French using fMRI data and multiple LLMs, finding that training-language dominance and typological distance, not an inherent English advantage, drive alignment patterns.