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本文提出一种基于模糊语义识别的自然语言处理方法,其基本原理是:依据特定的语言环境,利用语义模式直接从输入中提取语句的概念结构,从而获取相应的语义信息。由于该方法避免了复杂的句法结构和语义成份分析,加快了输入识别过程。 本文阐述了概念结构提取法的原理,建立了基于该方法所设计的人机对话模型,并对该方法的特点与可行性进行了讨论。
In this paper, a method of natural language processing based on fuzzy semantic recognition is proposed. The basic principle of the method is to extract the conceptual structure of a sentence directly from the input according to the specific language environment and obtain the corresponding semantic information. Because this method avoids the complicated syntactic structure and semantic component analysis, the input recognition process is accelerated. This paper expounds the principle of concept structure extraction method and establishes a man-machine dialogue model based on this method. The characteristics and feasibility of this method are also discussed.