Substance-based phonological theories predict that a preference for phonetically natural rules (those which reflect constraints on speech production and perception) is encoded in synchronic grammars, and translates into learning biases. Some previous work has shown evidence for such biases, but methodological concerns with these studies mean that the question warrants further investigation. We revisit this issue by focusing on the learning of palatal vowel harmony (phonetically natural) compared to disharmony (phonetically unnatural). In addition, we investigate the role of memory consolidation during sleep on rule learning. We use an artificial language learning paradigm with two test phases separated by twelve hours. We observe a robust effect of phonetic naturalness: vowel harmony is learned better than vowel disharmony. For both rules, performance remains stable after twelve hours, regardless of the presence or absence of sleep.

中文翻译：

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语音自然规则受益于学习偏差：对元音和谐与不和谐的重新审视

基于实体的语音理论预测，对语音自然规则（反映对语音产生和感知的限制）的偏好被编码在共时语法中，并转化为学习偏差。以前的一些工作已经显示出这种偏见的证据，但对这些研究的方法论关注意味着这个问题值得进一步调查。我们通过专注于学习腭元音和谐（语音自然）与不和谐（语音不自然）相比来重新审视这个问题。此外，我们研究了睡眠期间记忆巩固对规则学习的作用。我们使用人工语言学习范式，两个测试阶段相隔十二小时。我们观察到语音自然性的强大影响：元音和谐比元音不和谐学得更好。对于这两个规则，