摘要
语义问题不仅是当今人文社会科学研究的核心问题 ,而且也成了计算机语言信息处理的“瓶颈”。语义信息代码化是自然语言理解的必要前提 ,而语义信息主要指现实世界知识和论域知识 ,只有使这些知识抽象化、形式化、代码化、算法化 ,计算机才能实现对其智能化处理。语义信息编码是一项复杂的综合集成工程 ,我们称之为“通用语义码建模工程”。这样一项语言工程的实施战略 ,必然关涉原则性思维和技术性思维。本文探讨的语义信息代码化操作原理侧重于前者 ,它包括 :(ⅰ )操作理据 ;(ⅱ )操作背景 ;(ⅲ )操作意图和(ⅳ )操作方法。
The problem of semantics not only is the core problem in the humanities and social sciences, but also became the 'bottle-neck' of the computerized language information processing. The codification of semantic information is the necessary precondition of natural language understanding. Moreover, the semantic information mostly indicates the knowledge about real world and the domain knowledge. None but make before-mentioned knowledge be abstracted, formalized, codified and algorithmic, computer can actualize its intellectualized processing. Semantic information coding is a complex synthetic and integrative engineering, which we intitule as 'modeling engineering of universal semantic codes'. The strategy for the implementation of such language engineering consequentially relates to the principled thinking and technical thinking. In this paper, we discuss the operational principles for codification of semantic information by laying particular stress on the principled thinking. The operational principles include:(i)operational motivation;(ii)operational background;(iii)operational intention and(iv)operational method.
出处
《外语学刊》
CSSCI
北大核心
2001年第2期1-4,共4页
Foreign Language Research
关键词
符号学
计算机语言信息处理
语义信息编码
通用语义码建模工程
Semiotics
Computerized Language Information Processing
Semantic Information Coding
Modeling Engineering of Universal Semantic Codes