论文标题
神经网络和形式语言的调查
A Survey of Neural Networks and Formal Languages
论文作者
论文摘要
该报告是对各种最新神经网络体系结构和形式语言之间关系的调查，例如由乔姆斯基语言层次结构构建。特别有趣的是神经架构的能力来代表，识别和生成特定语言的单词，通过从该语言的样本中学习。
This report is a survey of the relationships between various state-of-the-art neural network architectures and formal languages as, for example, structured by the Chomsky Language Hierarchy. Of particular interest are the abilities of a neural architecture to represent, recognize and generate words from a specific language by learning from samples of the language.
