University of California, Los Angeles, USA.
University of Massachusetts Amherst, USA.
Lang Speech. 2024 Mar;67(1):19-39. doi: 10.1177/00238309231152492. Epub 2023 Mar 16.
The experimental study of artificial language learning has become a widely used means of investigating the predictions of theories of language learning and representation. Although much is now known about the generalizations that learners make from various kinds of data, relatively little is known about how those representations affect speech processing. This paper presents an event-related potential (ERP) study of brain responses to violations of lab-learned phonotactics. Novel words that violated a learned phonotactic constraint elicited a larger Late Positive Component (LPC) than novel words that satisfied it. Similar LPCs have been found for violations of natively acquired linguistic structure, as well as for violations of other types of abstract generalizations, such as musical structure. We argue that lab-learned phonotactic generalizations are represented abstractly and affect the evaluation of speech in a manner that is similar to natively acquired syntactic and phonological rules.
人工语言学习的实验研究已经成为一种广泛使用的方法，用于研究语言学习和表示理论的预测。尽管现在已经了解了学习者从各种数据中进行概括的情况，但对于这些表示如何影响语音处理知之甚少。本文介绍了一项关于大脑对违反实验室习得语音规则的反应的事件相关电位 (ERP)研究。违反习得语音限制的新单词比满足该限制的新单词引起更大的晚期正成分 (LPC)。在违反母语习得的语言结构以及违反其他类型的抽象概括（例如音乐结构）时，也发现了类似的 LPC。我们认为，实验室习得的语音规则概括是抽象表示的，并以类似于母语习得的句法和语音规则的方式影响语音的评估。
