Cherpas C
Anal Verbal Behav. 1992;10:135-47. doi: 10.1007/BF03392880.
Natural Language Processing (NLP) is that part of Artificial Intelligence (AI) concerned with endowing computers with verbal and listener repertoires, so that people can interact with them more easily. Most attention has been given to accurately parsing and generating syntactic structures, although NLP researchers are finding ways of handling the semantic content of language as well. It is increasingly apparent that understanding the pragmatic (contextual and consequential) dimension of natural language is critical for producing effective NLP systems. While there are some techniques for applying pragmatics in computer systems, they are piecemeal, crude, and lack an integrated theoretical foundation. Unfortunately, there is little awareness that Skinner's (1957) Verbal Behavior provides an extensive, principled pragmatic analysis of language. The implications of Skinner's functional analysis for NLP and for verbal aspects of epistemology lead to a proposal for a "user expert"-a computer system whose area of expertise is the long-term computer user. The evolutionary nature of behavior suggests an AI technology known as genetic algorithms/programming for implementing such a system.
自然语言处理(NLP)是人工智能(AI)的一部分,致力于赋予计算机语言表达和理解能力,以便人们能更轻松地与它们互动。尽管NLP研究人员也在寻找处理语言语义内容的方法,但目前大部分注意力都集中在准确解析和生成句法结构上。越来越明显的是,理解自然语言的语用(上下文和结果)维度对于开发有效的NLP系统至关重要。虽然在计算机系统中应用语用学有一些技术,但它们是零散、粗糙的,并且缺乏综合的理论基础。不幸的是,很少有人意识到斯金纳(1957年)的《言语行为》对语言进行了广泛、有原则的语用分析。斯金纳功能分析对NLP和认识论言语方面的影响,引发了对“用户专家”的提议——一种计算机系统,其专业领域是长期的计算机用户。行为的进化性质表明,可以使用一种称为遗传算法/编程的人工智能技术来实现这样一个系统。