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Longer semantic autocorrelation in speech correlates with generic vocabulary, revealing hidden structures in human and AI language dynamics.
Human-LLM collaboration can dramatically improve the consistency of speaker-attribute annotation in multilingual contexts, revealing substantial cross-lingual differences previously obscured by noisy labels.