论文标题
大脑中的中心安装和选区以及无上下文语言的新特征
Center-Embedding and Constituency in the Brain and a New Characterization of Context-Free Languages
论文作者
论文摘要
最近显示出一种仅通过神经元峰值实现的计算系统，即语法，即进行简单的英语句子的依赖性解析。我们解决了这项工作所留下的两个最重要的问题：选区（句子的关键部分，例如动词短语）和处理因句子的处理，尤其是中心句子的句子。我们表明，语言的这两个方面也可以由神经元和突触以与已知或广泛相信语言器官的结构和功能兼容的方式实现。令人惊讶的是，我们实施中心嵌入的方式指出了无上下文语言的新表征。
A computational system implemented exclusively through the spiking of neurons was recently shown capable of syntax, that is, of carrying out the dependency parsing of simple English sentences. We address two of the most important questions left open by that work: constituency (the identification of key parts of the sentence such as the verb phrase) and the processing of dependent sentences, especially center-embedded ones. We show that these two aspects of language can also be implemented by neurons and synapses in a way that is compatible with what is known, or widely believed, about the structure and function of the language organ. Surprisingly, the way we implement center embedding points to a new characterization of context-free languages.
