学位语言,多项式时间识别,和LBA问题

D. Wotschke
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引用次数: 4

摘要

所谓的乔姆斯基层次结构[5],由规则的、上下文无关的、上下文敏感的和递归可枚举的语言组成,并没有考虑到许多“现实世界”的语言类别,例如编程语言和自然语言[4]。这就是为什么许多人试图“完善”乔姆斯基的原始分类的原因之一。主要的目标是描述语言,例如,不是上下文无关的,但仍然是上下文敏感的,而不使用上下文敏感语法这个强大而复杂的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Degree-languages, polynomial time recognition, and the LBA problem
The so-called Chomsky hierarchy [5], consisting of regular, context-free, context-sensitive, and recursively enumerable languages, does not account for many “real world” classes of languages, e.g., programming languages and natural languages [4]. This is one of the reasons why many attempts have been made to “refine” the original Chomsky classification. The main goal has been to describe languages which, for instance, are not context-free but are still context-sensitive, without using the powerful and complex concept of context-sensitive grammars.
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