Gómez RL, Gerken L
Department of Psychology, Johns Hopkins University, Baltimore, MD 21218-2685, USA.
Trends Cogn Sci. 2000 May;4(5):178-186. doi: 10.1016/s1364-6613(00)01467-4.
The rapidity with which children acquire language is one of the mysteries of human cognition. A view held widely for the past 30 years is that children master language by means of a language-specific learning device. An earlier proposal, which has generated renewed interest, is that children make use of domain-general, associative learning mechanisms. However, our current lack of knowledge of the actual learning mechanisms involved during infancy makes it difficult to determine the relative contributions of innate and acquired knowledge. A recent approach to studying this problem exposes infants to artificial languages and assesses the resulting learning. In this article, we review studies using this paradigm that have led to a number of exciting discoveries regarding the learning mechanisms available during infancy. These studies raise important issues with respect to whether such mechanisms are general or specific to language, the extent to which they reflect statistical learning versus symbol manipulation, and the extent to which such mechanisms change with development. The fine-grained characterizations of infant learning mechanisms that this approach permits should result in a better understanding of the relative contributions of, and the dynamic between, innate and learned factors in language acquisition.
儿童习得语言的速度是人类认知的奥秘之一。在过去30年里被广泛持有的一种观点是,儿童通过一种特定于语言的学习装置来掌握语言。一个引发了新兴趣的早期提议是,儿童利用领域通用的联想学习机制。然而,我们目前对婴儿期实际涉及的学习机制缺乏了解,这使得难以确定先天知识和后天习得知识的相对贡献。最近一种研究这个问题的方法是让婴儿接触人工语言并评估由此产生的学习情况。在本文中,我们回顾了使用这种范式的研究,这些研究带来了关于婴儿期可用学习机制的一些令人兴奋的发现。这些研究就这些机制是通用的还是特定于语言的、它们在多大程度上反映统计学习与符号操作、以及这些机制随发育变化的程度等方面提出了重要问题。这种方法所允许的对婴儿学习机制的细致刻画应该会使人们更好地理解语言习得中先天因素和后天习得因素的相对贡献以及它们之间的动态关系。