Semantic Analysis Of Sentences Based On The HNC Theory

NLP(Natural Language Processing) is one of the branches of artificial intelligence. With the rapid development of the computer science technology, NLP has been applied in the fields of machine translation and text categorization. The semantic analysis of sentences becomes more and more important nowadays. The conventional NLP theories which follow the processing pattern of"lexical analysis——syntax analysis——semantic analysis"are not fit for Chinese which has flexible syntax rules. We need a theory which emphasizes the semantic structure.HNC(Hierarchical Network of Concepts) theory is an innovation theory about NLP. It focus on the association of concepts, aims at creating a natural language processing system which simulates the operation of neurons in the brain and enable the computer to eliminate ambiguity. HNC is based on the concepts such as semantic networks, semantic chunks and sentence category.This paper introduces the knowledge of semantic chunk and sentence category, designs an algorithm for natural language understanding and implements a sentence category analysis system. Several important modules such as semantic chunk perception, sentence category assumption test and semantic chunk composition are discussed in detail. Proved by the experiment, the sentence category analysis system takes the simple sentences as the input and outputs the correct sentence category representation.