This paper revisits the conception of intelligence and understanding as embodied in the Turing Test. It argues that a simple system of meaning relations drawn from words/lexical items in a natural language and framed in terms of syntax-free relations in linguistic texts can help ground linguistic inferences in a manner that can be taken to be 'understanding' in a mechanized system. Understanding in this case is a matter of running through the relevant inferences meaning relations allow for, and some of these inferences are plain deductions and some can serve to act as abductions. Understanding in terms of meaning relations also supervenes on linguistic syntax because such understanding cannot be simply reduced to syntactic relations. The current approach to meaning and understanding thus shows that this is one way, if not the only way, of (re)framing Alan Turing's original insight into the nature of thinking in computing systems.

中文翻译：

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意义关系、语法和理解

本文重新审视了图灵测试中体现的智力和理解力的概念。它认为，从自然语言中的词/词项中提取并根据语言文本中的无句法关系构建的简单意义关系系统可以帮助以一种可以被视为“理解”的方式为语言推理奠定基础。机械化系统。在这种情况下，理解是贯穿关系所允许的相关推论的问题，其中一些推论是简单的推论，而另一些则可以充当绑架。意义关系方面的理解也伴随着语言句法，因为这种理解不能简单地归结为句法关系。因此，当前对意义和理解的方法表明，这是一种方式，如果不是唯一的方式，