Sequence Memory Constraints Give Rise to Language-Like Structure through Iterated Learning.
Sequence Memory Constraints Give Rise to Language-Like Structure through Iterated Learning.
复制标题
序列记忆约束通过迭代学习产生类似语言的结构。
DOI：
10.1371/journal.pone.0168532
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发表时间：
2017
期刊：
影响因子：
3.7
通讯作者：
Christiansen MH
中科院分区：
文献类型：
--
作者：
Cornish H;Dale R;Kirby S;Christiansen MH
人类语言由可重复使用元素的序列组成。语言的顺序结构的起源是进化语言学中的一个备受争议的话题。在本文中，我们表明，具有类似语言的统计特性的序列集可以从基于块的记忆约束的压力下的文化进化过程中出现。我们采用了一项新的实验任务，该任务本质上是非语言和非交流性的，其中参与者接受了培训，后来被要求一对一地回忆起一组序列。召回一个参与者的序列成为下一个参与者的培训数据。这样，我们模拟了实验室的文化进化。我们的结果表明，结构的累积增加，并将这种结构与现有语言语料库的数据进行比较，我们证明了我们实验中出现的序列集与自然语言所看到的序列之间的相似之处。
Human language is composed of sequences of reusable elements. The origins of the sequential structure of language is a hotly debated topic in evolutionary linguistics. In this paper, we show that sets of sequences with language-like statistical properties can emerge from a process of cultural evolution under pressure from chunk-based memory constraints. We employ a novel experimental task that is non-linguistic and non-communicative in nature, in which participants are trained on and later asked to recall a set of sequences one-by-one. Recalled sequences from one participant become training data for the next participant. In this way, we simulate cultural evolution in the laboratory. Our results show a cumulative increase in structure, and by comparing this structure to data from existing linguistic corpora, we demonstrate a close parallel between the sets of sequences that emerge in our experiment and those seen in natural language.