The Development of Collative Semantics Including a Parallel Processing Implementation

本研究调查自然语言理解 通过计算机系统。 具体目标是： 1)描述自然语言中使用的单词的歧义性 可以从上下文和“语义关系”中解决- 连接可能的替代方案的基础结构 词语的含义。 2)开发一个计算机系统Meta 5，它可以自动 执行自然语言处理，使用语义 关系的方法。 这一发展的一个主要特点是， 使用具有许多计算元件的并行处理 同时操作以分析所述自然语言输入。 这项研究的意义在于， 处理系统，用于机器翻译，用户界面， 和基于知识的系统，必须克服基本的 问题是，普通的词有很多含义，而正确的 必须为每次出现找到一个。 处理 这项任务的要求，使它有必要探讨平行 处理和其他大大增加计算的手段 对这个问题施加影响的力量。

This research investigates natural language comprehension by computer systems. Specific targets are to: 1) Describe how the ambiguity of words used in natural language may be resolved from context and "semantic relations" - the underlying structures connecting the possible alternative meanings of words. 2) Develop a computer system, meta5, which automatically carries out natural language processing, using the semantic relations approach. A key feature of this development is the use of parallel processing, with many computing elements operating simultaneously to analyse the natural language input. The significance of this research is that natural language processing systems, for machine translation, user interfaces, and knowledge based systems, must overcome the fundamental problem that ordinary words have many meanings, and the right one must be found for each occurrence. The processing requirements of this task make it essential to explore parallel processing and other means of greatly increasing the computing power brought to bear on the problem.